CMB.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NCL5JZAgltUl",
        "outputId": "e6d1db1a-c52e-47cd-cefb-8d7d10290c3f"
      },
      "source": [
        "#Darknet\n",
        "!git clone https://github.com/AlexeyAB/darknet"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'darknet'...\n",
            "remote: Enumerating objects: 15054, done.\u001b[K\n",
            "remote: Total 15054 (delta 0), reused 0 (delta 0), pack-reused 15054\u001b[K\n",
            "Receiving objects: 100% (15054/15054), 13.43 MiB | 24.25 MiB/s, done.\n",
            "Resolving deltas: 100% (10234/10234), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HuQtBIVPqoRu",
        "outputId": "7b64d43b-16a6-40ae-c405-6afd059f6bed"
      },
      "source": [
        "#Enable GPU and OPENCV\n",
        "%cd darknet\n",
        "!sed -i 's/OPENCV=0/OPENCV=1/' Makefile\n",
        "!sed -i 's/GPU=0/GPU=1/' Makefile\n",
        "!sed -i 's/CUDNN=0/CUDNN=1/' Makefile\n",
        "!sed -i 's/CUDNN_HALF=0/CUDNN_HALF=1/' Makefile"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/darknet\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dvkFFuMGqz6t",
        "outputId": "71a98913-a129-471f-9908-3e70f53978b3"
      },
      "source": [
        "#make darknet\n",
        "!make"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "mkdir -p ./obj/\n",
            "mkdir -p backup\n",
            "chmod +x *.sh\n",
            "g++ -std=c++11 -std=c++11 -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/image_opencv.cpp -o obj/image_opencv.o\n",
            "\u001b[01m\u001b[K./src/image_opencv.cpp:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kvoid draw_detections_cv_v3(void**, detection*, int, float, char**, image**, int, int)\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/image_opencv.cpp:935:23:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kvariable ‘\u001b[01m\u001b[Krgb\u001b[m\u001b[K’ set but not used [\u001b[01;35m\u001b[K-Wunused-but-set-variable\u001b[m\u001b[K]\n",
            "                 float \u001b[01;35m\u001b[Krgb\u001b[m\u001b[K[3];\n",
            "                       \u001b[01;35m\u001b[K^~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/image_opencv.cpp:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kvoid draw_train_loss(char*, void**, int, float, float, int, int, float, int, char*, float, int, int, double)\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/image_opencv.cpp:1136:13:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kthis ‘\u001b[01m\u001b[Kif\u001b[m\u001b[K’ clause does not guard... [\u001b[01;35m\u001b[K-Wmisleading-indentation\u001b[m\u001b[K]\n",
            "             \u001b[01;35m\u001b[Kif\u001b[m\u001b[K (iteration_old == 0)\n",
            "             \u001b[01;35m\u001b[K^~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/image_opencv.cpp:1139:10:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[K...this statement, but the latter is misleadingly indented as if it were guarded by the ‘\u001b[01m\u001b[Kif\u001b[m\u001b[K’\n",
            "          \u001b[01;36m\u001b[Kif\u001b[m\u001b[K (iteration_old != 0){\n",
            "          \u001b[01;36m\u001b[K^~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/image_opencv.cpp:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kvoid cv_draw_object(image, float*, int, int, int*, float*, int*, int, char**)\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/image_opencv.cpp:1433:14:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kbuff\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "         char \u001b[01;35m\u001b[Kbuff\u001b[m\u001b[K[100];\n",
            "              \u001b[01;35m\u001b[K^~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/image_opencv.cpp:1409:9:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kit_tb_res\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     int \u001b[01;35m\u001b[Kit_tb_res\u001b[m\u001b[K = cv::createTrackbar(it_trackbar_name, window_name, &it_trackbar_value, 1000);\n",
            "         \u001b[01;35m\u001b[K^~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/image_opencv.cpp:1413:9:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Klr_tb_res\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     int \u001b[01;35m\u001b[Klr_tb_res\u001b[m\u001b[K = cv::createTrackbar(lr_trackbar_name, window_name, &lr_trackbar_value, 20);\n",
            "         \u001b[01;35m\u001b[K^~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/image_opencv.cpp:1417:9:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kcl_tb_res\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     int \u001b[01;35m\u001b[Kcl_tb_res\u001b[m\u001b[K = cv::createTrackbar(cl_trackbar_name, window_name, &cl_trackbar_value, classes-1);\n",
            "         \u001b[01;35m\u001b[K^~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/image_opencv.cpp:1420:9:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kbo_tb_res\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     int \u001b[01;35m\u001b[Kbo_tb_res\u001b[m\u001b[K = cv::createTrackbar(bo_trackbar_name, window_name, boxonly, 1);\n",
            "         \u001b[01;35m\u001b[K^~~~~~~~~\u001b[m\u001b[K\n",
            "g++ -std=c++11 -std=c++11 -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/http_stream.cpp -o obj/http_stream.o\n",
            "\u001b[01m\u001b[K./src/http_stream.cpp:\u001b[m\u001b[K In member function ‘\u001b[01m\u001b[Kbool JSON_sender::write(const char*)\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/http_stream.cpp:253:21:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kn\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "                 int \u001b[01;35m\u001b[Kn\u001b[m\u001b[K = _write(client, outputbuf, outlen);\n",
            "                     \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/http_stream.cpp:\u001b[m\u001b[K In member function ‘\u001b[01m\u001b[Kbool MJPG_sender::write(const cv::Mat&)\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/http_stream.cpp:511:113:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%zu\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Ksize_t\u001b[m\u001b[K’, but argument 3 has type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n",
            "                 sprintf(head, \"--mjpegstream\\r\\nContent-Type: image/jpeg\\r\\nContent-Length: %zu\\r\\n\\r\\n\", outlen\u001b[01;35m\u001b[K)\u001b[m\u001b[K;\n",
            "                                                                                                                 \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/http_stream.cpp:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kvoid set_track_id(detection*, int, float, float, float, int, int, int)\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/http_stream.cpp:867:27:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kcomparison between signed and unsigned integer expressions [\u001b[01;35m\u001b[K-Wsign-compare\u001b[m\u001b[K]\n",
            "         for (int i = 0; \u001b[01;35m\u001b[Ki < v.size()\u001b[m\u001b[K; ++i) {\n",
            "                         \u001b[01;35m\u001b[K~~^~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/http_stream.cpp:875:33:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kcomparison between signed and unsigned integer expressions [\u001b[01;35m\u001b[K-Wsign-compare\u001b[m\u001b[K]\n",
            "     for (int old_id = 0; \u001b[01;35m\u001b[Kold_id < old_dets.size()\u001b[m\u001b[K; ++old_id) {\n",
            "                          \u001b[01;35m\u001b[K~~~~~~~^~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/http_stream.cpp:894:31:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kcomparison between signed and unsigned integer expressions [\u001b[01;35m\u001b[K-Wsign-compare\u001b[m\u001b[K]\n",
            "     for (int index = 0; \u001b[01;35m\u001b[Kindex < new_dets_num*old_dets.size()\u001b[m\u001b[K; ++index) {\n",
            "                         \u001b[01;35m\u001b[K~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/http_stream.cpp:930:28:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kcomparison between signed and unsigned integer expressions [\u001b[01;35m\u001b[K-Wsign-compare\u001b[m\u001b[K]\n",
            "     if (\u001b[01;35m\u001b[Kold_dets_dq.size() > deque_size\u001b[m\u001b[K) old_dets_dq.pop_front();\n",
            "         \u001b[01;35m\u001b[K~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~\u001b[m\u001b[K\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/gemm.c -o obj/gemm.o\n",
            "\u001b[01m\u001b[K./src/gemm.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kconvolution_2d\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/gemm.c:2044:15:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kout_w\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     const int \u001b[01;35m\u001b[Kout_w\u001b[m\u001b[K = (w + 2 * pad - ksize) / stride + 1;    // output_width=input_width for stride=1 and pad=1\n",
            "               \u001b[01;35m\u001b[K^~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/gemm.c:2043:15:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kout_h\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     const int \u001b[01;35m\u001b[Kout_h\u001b[m\u001b[K = (h + 2 * pad - ksize) / stride + 1;    // output_height=input_height for stride=1 and pad=1\n",
            "               \u001b[01;35m\u001b[K^~~~~\u001b[m\u001b[K\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/utils.c -o obj/utils.o\n",
            "\u001b[01m\u001b[K./src/utils.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kcustom_hash\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/utils.c:1045:12:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Ksuggest parentheses around assignment used as truth value [\u001b[01;35m\u001b[K-Wparentheses\u001b[m\u001b[K]\n",
            "     while (\u001b[01;35m\u001b[Kc\u001b[m\u001b[K = *str++)\n",
            "            \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/dark_cuda.c -o obj/dark_cuda.o\n",
            "\u001b[01m\u001b[K./src/dark_cuda.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kcudnn_check_error_extended\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/dark_cuda.c:231:20:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kcomparison between ‘\u001b[01m\u001b[KcudaError_t {aka enum cudaError}\u001b[m\u001b[K’ and ‘\u001b[01m\u001b[Kenum <anonymous>\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wenum-compare\u001b[m\u001b[K]\n",
            "         if (status \u001b[01;35m\u001b[K!=\u001b[m\u001b[K CUDNN_STATUS_SUCCESS)\n",
            "                    \u001b[01;35m\u001b[K^~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/dark_cuda.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kcublas_check_error_extended\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/dark_cuda.c:265:18:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kcomparison between ‘\u001b[01m\u001b[KcudaError_t {aka enum cudaError}\u001b[m\u001b[K’ and ‘\u001b[01m\u001b[Kenum cudaError_enum\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wenum-compare\u001b[m\u001b[K]\n",
            "       if (status \u001b[01;35m\u001b[K!=\u001b[m\u001b[K CUDA_SUCCESS)\n",
            "                  \u001b[01;35m\u001b[K^~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/dark_cuda.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kpre_allocate_pinned_memory\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/dark_cuda.c:396:40:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%u\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kunsigned int\u001b[m\u001b[K’, but argument 2 has type ‘\u001b[01m\u001b[Klong unsigned int\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n",
            "         printf(\"pre_allocate: size = \u001b[01;35m\u001b[K%Iu\u001b[m\u001b[K MB, num_of_blocks = %Iu, block_size = %Iu MB \\n\",\n",
            "                                      \u001b[01;35m\u001b[K~~^\u001b[m\u001b[K\n",
            "                                      \u001b[32m\u001b[K%Ilu\u001b[m\u001b[K\n",
            "             \u001b[32m\u001b[Ksize / (1024*1024)\u001b[m\u001b[K, num_of_blocks, pinned_block_size / (1024 * 1024));\n",
            "             \u001b[32m\u001b[K~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K          \n",
            "\u001b[01m\u001b[K./src/dark_cuda.c:396:64:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%u\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kunsigned int\u001b[m\u001b[K’, but argument 3 has type ‘\u001b[01m\u001b[Ksize_t {aka const long unsigned int}\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n",
            "         printf(\"pre_allocate: size = %Iu MB, num_of_blocks = \u001b[01;35m\u001b[K%Iu\u001b[m\u001b[K, block_size = %Iu MB \\n\",\n",
            "                                                              \u001b[01;35m\u001b[K~~^\u001b[m\u001b[K\n",
            "                                                              \u001b[32m\u001b[K%Ilu\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/dark_cuda.c:396:82:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%u\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kunsigned int\u001b[m\u001b[K’, but argument 4 has type ‘\u001b[01m\u001b[Klong unsigned int\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n",
            "         printf(\"pre_allocate: size = %Iu MB, num_of_blocks = %Iu, block_size = \u001b[01;35m\u001b[K%Iu\u001b[m\u001b[K MB \\n\",\n",
            "                                                                                \u001b[01;35m\u001b[K~~^\u001b[m\u001b[K\n",
            "                                                                                \u001b[32m\u001b[K%Ilu\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/dark_cuda.c:406:37:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%d\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’, but argument 2 has type ‘\u001b[01m\u001b[Ksize_t {aka const long unsigned int}\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n",
            "                 printf(\" Allocated \u001b[01;35m\u001b[K%d\u001b[m\u001b[K pinned block \\n\", pinned_block_size);\n",
            "                                    \u001b[01;35m\u001b[K~^\u001b[m\u001b[K\n",
            "                                    \u001b[32m\u001b[K%ld\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/dark_cuda.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kcuda_make_array_pinned_preallocated\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/dark_cuda.c:427:43:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%d\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’, but argument 2 has type ‘\u001b[01m\u001b[Ksize_t {aka long unsigned int}\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n",
            "             printf(\"\\n Pinned block_id = \u001b[01;35m\u001b[K%d\u001b[m\u001b[K, filled = %f %% \\n\", pinned_block_id, filled);\n",
            "                                          \u001b[01;35m\u001b[K~^\u001b[m\u001b[K\n",
            "                                          \u001b[32m\u001b[K%ld\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/dark_cuda.c:442:64:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%d\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’, but argument 2 has type ‘\u001b[01m\u001b[Klong unsigned int\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n",
            "             printf(\"Try to allocate new pinned memory, size = \u001b[01;35m\u001b[K%d\u001b[m\u001b[K MB \\n\", \u001b[32m\u001b[Ksize / (1024 * 1024)\u001b[m\u001b[K);\n",
            "                                                               \u001b[01;35m\u001b[K~^\u001b[m\u001b[K         \u001b[32m\u001b[K~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "                                                               \u001b[32m\u001b[K%ld\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/dark_cuda.c:448:63:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%d\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’, but argument 2 has type ‘\u001b[01m\u001b[Klong unsigned int\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n",
            "             printf(\"Try to allocate new pinned BLOCK, size = \u001b[01;35m\u001b[K%d\u001b[m\u001b[K MB \\n\", \u001b[32m\u001b[Ksize / (1024 * 1024)\u001b[m\u001b[K);\n",
            "                                                              \u001b[01;35m\u001b[K~^\u001b[m\u001b[K         \u001b[32m\u001b[K~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "                                                              \u001b[32m\u001b[K%ld\u001b[m\u001b[K\n",
            "At top level:\n",
            "\u001b[01m\u001b[K./src/dark_cuda.c:288:23:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KswitchBlasHandle\u001b[m\u001b[K’ defined but not used [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            " static cublasHandle_t \u001b[01;35m\u001b[KswitchBlasHandle\u001b[m\u001b[K[16];\n",
            "                       \u001b[01;35m\u001b[K^~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/dark_cuda.c:287:12:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KswitchBlasInit\u001b[m\u001b[K’ defined but not used [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            " static int \u001b[01;35m\u001b[KswitchBlasInit\u001b[m\u001b[K[16] = { 0 };\n",
            "            \u001b[01;35m\u001b[K^~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/convolutional_layer.c -o obj/convolutional_layer.o\n",
            "\u001b[01m\u001b[K./src/convolutional_layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kforward_convolutional_layer\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/convolutional_layer.c:1341:32:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kt_intput_size\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "                         size_t \u001b[01;35m\u001b[Kt_intput_size\u001b[m\u001b[K = binary_transpose_align_input(k, n, state.workspace, &l.t_bit_input, ldb_align, l.bit_align);\n",
            "                                \u001b[01;35m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/list.c -o obj/list.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/image.c -o obj/image.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/activations.c -o obj/activations.o\n",
            "\u001b[01m\u001b[K./src/activations.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kactivate\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/activations.c:79:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kenumeration value ‘\u001b[01m\u001b[KRELU6\u001b[m\u001b[K’ not handled in switch [\u001b[01;35m\u001b[K-Wswitch\u001b[m\u001b[K]\n",
            "     \u001b[01;35m\u001b[Kswitch\u001b[m\u001b[K(a){\n",
            "     \u001b[01;35m\u001b[K^~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/activations.c:79:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kenumeration value ‘\u001b[01m\u001b[KSWISH\u001b[m\u001b[K’ not handled in switch [\u001b[01;35m\u001b[K-Wswitch\u001b[m\u001b[K]\n",
            "\u001b[01m\u001b[K./src/activations.c:79:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kenumeration value ‘\u001b[01m\u001b[KMISH\u001b[m\u001b[K’ not handled in switch [\u001b[01;35m\u001b[K-Wswitch\u001b[m\u001b[K]\n",
            "\u001b[01m\u001b[K./src/activations.c:79:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kenumeration value ‘\u001b[01m\u001b[KHARD_MISH\u001b[m\u001b[K’ not handled in switch [\u001b[01;35m\u001b[K-Wswitch\u001b[m\u001b[K]\n",
            "\u001b[01m\u001b[K./src/activations.c:79:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kenumeration value ‘\u001b[01m\u001b[KNORM_CHAN\u001b[m\u001b[K’ not handled in switch [\u001b[01;35m\u001b[K-Wswitch\u001b[m\u001b[K]\n",
            "\u001b[01m\u001b[K./src/activations.c:79:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kenumeration value ‘\u001b[01m\u001b[KNORM_CHAN_SOFTMAX\u001b[m\u001b[K’ not handled in switch [\u001b[01;35m\u001b[K-Wswitch\u001b[m\u001b[K]\n",
            "\u001b[01m\u001b[K./src/activations.c:79:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kenumeration value ‘\u001b[01m\u001b[KNORM_CHAN_SOFTMAX_MAXVAL\u001b[m\u001b[K’ not handled in switch [\u001b[01;35m\u001b[K-Wswitch\u001b[m\u001b[K]\n",
            "\u001b[01m\u001b[K./src/activations.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kgradient\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/activations.c:310:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kenumeration value ‘\u001b[01m\u001b[KSWISH\u001b[m\u001b[K’ not handled in switch [\u001b[01;35m\u001b[K-Wswitch\u001b[m\u001b[K]\n",
            "     \u001b[01;35m\u001b[Kswitch\u001b[m\u001b[K(a){\n",
            "     \u001b[01;35m\u001b[K^~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/activations.c:310:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kenumeration value ‘\u001b[01m\u001b[KMISH\u001b[m\u001b[K’ not handled in switch [\u001b[01;35m\u001b[K-Wswitch\u001b[m\u001b[K]\n",
            "\u001b[01m\u001b[K./src/activations.c:310:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kenumeration value ‘\u001b[01m\u001b[KHARD_MISH\u001b[m\u001b[K’ not handled in switch [\u001b[01;35m\u001b[K-Wswitch\u001b[m\u001b[K]\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/im2col.c -o obj/im2col.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/col2im.c -o obj/col2im.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/blas.c -o obj/blas.o\n",
            "\u001b[01m\u001b[K./src/blas.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kbackward_shortcut_multilayer_cpu\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/blas.c:207:21:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kout_index\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "                 int \u001b[01;35m\u001b[Kout_index\u001b[m\u001b[K = id;\n",
            "                     \u001b[01;35m\u001b[K^~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/blas.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kfind_sim\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/blas.c:597:59:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%d\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’, but argument 2 has type ‘\u001b[01m\u001b[Ksize_t {aka long unsigned int}\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n",
            "         printf(\" Error: find_sim(): sim isn't found: i = \u001b[01;35m\u001b[K%d\u001b[m\u001b[K, j = %d, z = %d \\n\", i, j, z);\n",
            "                                                          \u001b[01;35m\u001b[K~^\u001b[m\u001b[K\n",
            "                                                          \u001b[32m\u001b[K%ld\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/blas.c:597:67:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%d\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’, but argument 3 has type ‘\u001b[01m\u001b[Ksize_t {aka long unsigned int}\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n",
            "         printf(\" Error: find_sim(): sim isn't found: i = %d, j = \u001b[01;35m\u001b[K%d\u001b[m\u001b[K, z = %d \\n\", i, j, z);\n",
            "                                                                  \u001b[01;35m\u001b[K~^\u001b[m\u001b[K\n",
            "                                                                  \u001b[32m\u001b[K%ld\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/blas.c:597:75:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%d\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’, but argument 4 has type ‘\u001b[01m\u001b[Ksize_t {aka long unsigned int}\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n",
            "         printf(\" Error: find_sim(): sim isn't found: i = %d, j = %d, z = \u001b[01;35m\u001b[K%d\u001b[m\u001b[K \\n\", i, j, z);\n",
            "                                                                          \u001b[01;35m\u001b[K~^\u001b[m\u001b[K\n",
            "                                                                          \u001b[32m\u001b[K%ld\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/blas.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kfind_P_constrastive\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/blas.c:611:68:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%d\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’, but argument 2 has type ‘\u001b[01m\u001b[Ksize_t {aka long unsigned int}\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n",
            "         printf(\" Error: find_P_constrastive(): P isn't found: i = \u001b[01;35m\u001b[K%d\u001b[m\u001b[K, j = %d, z = %d \\n\", i, j, z);\n",
            "                                                                   \u001b[01;35m\u001b[K~^\u001b[m\u001b[K\n",
            "                                                                   \u001b[32m\u001b[K%ld\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/blas.c:611:76:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%d\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’, but argument 3 has type ‘\u001b[01m\u001b[Ksize_t {aka long unsigned int}\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n",
            "         printf(\" Error: find_P_constrastive(): P isn't found: i = %d, j = \u001b[01;35m\u001b[K%d\u001b[m\u001b[K, z = %d \\n\", i, j, z);\n",
            "                                                                           \u001b[01;35m\u001b[K~^\u001b[m\u001b[K\n",
            "                                                                           \u001b[32m\u001b[K%ld\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/blas.c:611:84:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%d\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’, but argument 4 has type ‘\u001b[01m\u001b[Ksize_t {aka long unsigned int}\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n",
            "         printf(\" Error: find_P_constrastive(): P isn't found: i = %d, j = %d, z = \u001b[01;35m\u001b[K%d\u001b[m\u001b[K \\n\", i, j, z);\n",
            "                                                                                   \u001b[01;35m\u001b[K~^\u001b[m\u001b[K\n",
            "                                                                                   \u001b[32m\u001b[K%ld\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/blas.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[KP_constrastive_f\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/blas.c:651:79:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%d\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’, but argument 3 has type ‘\u001b[01m\u001b[Ksize_t {aka long unsigned int}\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n",
            "         fprintf(stderr, \" Error: in P_constrastive must be i != l, while i = \u001b[01;35m\u001b[K%d\u001b[m\u001b[K, l = %d \\n\", i, l);\n",
            "                                                                              \u001b[01;35m\u001b[K~^\u001b[m\u001b[K\n",
            "                                                                              \u001b[32m\u001b[K%ld\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/blas.c:651:87:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%d\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’, but argument 4 has type ‘\u001b[01m\u001b[Ksize_t {aka long unsigned int}\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n",
            "         fprintf(stderr, \" Error: in P_constrastive must be i != l, while i = %d, l = \u001b[01;35m\u001b[K%d\u001b[m\u001b[K \\n\", i, l);\n",
            "                                                                                      \u001b[01;35m\u001b[K~^\u001b[m\u001b[K\n",
            "                                                                                      \u001b[32m\u001b[K%ld\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/blas.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[KP_constrastive\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/blas.c:785:79:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%d\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’, but argument 3 has type ‘\u001b[01m\u001b[Ksize_t {aka long unsigned int}\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n",
            "         fprintf(stderr, \" Error: in P_constrastive must be i != l, while i = \u001b[01;35m\u001b[K%d\u001b[m\u001b[K, l = %d \\n\", i, l);\n",
            "                                                                              \u001b[01;35m\u001b[K~^\u001b[m\u001b[K\n",
            "                                                                              \u001b[32m\u001b[K%ld\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/blas.c:785:87:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%d\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’, but argument 4 has type ‘\u001b[01m\u001b[Ksize_t {aka long unsigned int}\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n",
            "         fprintf(stderr, \" Error: in P_constrastive must be i != l, while i = %d, l = \u001b[01;35m\u001b[K%d\u001b[m\u001b[K \\n\", i, l);\n",
            "                                                                                      \u001b[01;35m\u001b[K~^\u001b[m\u001b[K\n",
            "                                                                                      \u001b[32m\u001b[K%ld\u001b[m\u001b[K\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/crop_layer.c -o obj/crop_layer.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/dropout_layer.c -o obj/dropout_layer.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/maxpool_layer.c -o obj/maxpool_layer.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/softmax_layer.c -o obj/softmax_layer.o\n",
            "\u001b[01m\u001b[K./src/softmax_layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kmake_contrastive_layer\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/softmax_layer.c:203:101:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%d\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’, but argument 9 has type ‘\u001b[01m\u001b[Ksize_t {aka const long unsigned int}\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n",
            "     fprintf(stderr, \"contrastive %4d x%4d x%4d x emb_size %4d x batch: %4d  classes = %4d, step = \u001b[01;35m\u001b[K%4d\u001b[m\u001b[K \\n\", w, h, l.n, l.embedding_size, batch, l.classes, step);\n",
            "                                                                                                   \u001b[01;35m\u001b[K~~^\u001b[m\u001b[K\n",
            "                                                                                                   \u001b[32m\u001b[K%4ld\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/softmax_layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kforward_contrastive_layer\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/softmax_layer.c:244:27:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kvariable ‘\u001b[01m\u001b[Kmax_truth\u001b[m\u001b[K’ set but not used [\u001b[01;35m\u001b[K-Wunused-but-set-variable\u001b[m\u001b[K]\n",
            "                     float \u001b[01;35m\u001b[Kmax_truth\u001b[m\u001b[K = 0;\n",
            "                           \u001b[01;35m\u001b[K^~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/softmax_layer.c:423:71:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%d\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’, but argument 2 has type ‘\u001b[01m\u001b[Ksize_t {aka const long unsigned int}\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n",
            "             printf(\" Error: too large number of bboxes: contr_size = \u001b[01;35m\u001b[K%d\u001b[m\u001b[K > max_contr_size  = %d \\n\", contr_size, max_contr_size);\n",
            "                                                                      \u001b[01;35m\u001b[K~^\u001b[m\u001b[K\n",
            "                                                                      \u001b[32m\u001b[K%ld\u001b[m\u001b[K\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/data.c -o obj/data.o\n",
            "\u001b[01m\u001b[K./src/data.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kload_data_detection\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/data.c:1297:24:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kx\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "                 int k, \u001b[01;35m\u001b[Kx\u001b[m\u001b[K, y;\n",
            "                        \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/data.c:1090:43:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kvariable ‘\u001b[01m\u001b[Kr_scale\u001b[m\u001b[K’ set but not used [\u001b[01;35m\u001b[K-Wunused-but-set-variable\u001b[m\u001b[K]\n",
            "     float r1 = 0, r2 = 0, r3 = 0, r4 = 0, \u001b[01;35m\u001b[Kr_scale\u001b[m\u001b[K = 0;\n",
            "                                           \u001b[01;35m\u001b[K^~~~~~~\u001b[m\u001b[K\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/matrix.c -o obj/matrix.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/network.c -o obj/network.o\n",
            "\u001b[01m\u001b[K./src/network.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Ktrain_network_waitkey\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/network.c:434:13:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kema_period\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "         int \u001b[01;35m\u001b[Kema_period\u001b[m\u001b[K = (net.max_batches - ema_start_point - 1000) * (1.0 - net.ema_alpha);\n",
            "             \u001b[01;35m\u001b[K^~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/network.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kresize_network\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/network.c:659:42:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kpassing argument 1 of ‘\u001b[01m\u001b[KcudaHostAlloc\u001b[m\u001b[K’ from incompatible pointer type [\u001b[01;35m\u001b[K-Wincompatible-pointer-types\u001b[m\u001b[K]\n",
            "         if (cudaSuccess == cudaHostAlloc(\u001b[01;35m\u001b[K&\u001b[m\u001b[Knet->input_pinned_cpu, size * sizeof(float), cudaHostRegisterMapped))\n",
            "                                          \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime.h:96:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[Kinclude/darknet.h:41\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/network.c:1\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime_api.h:4707:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kexpected ‘\u001b[01m\u001b[Kvoid **\u001b[m\u001b[K’ but argument is of type ‘\u001b[01m\u001b[Kfloat **\u001b[m\u001b[K’\n",
            " extern __host__ cudaError_t CUDARTAPI \u001b[01;36m\u001b[KcudaHostAlloc\u001b[m\u001b[K(void **pHost, size_t size, unsigned int flags);\n",
            "                                       \u001b[01;36m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/connected_layer.c -o obj/connected_layer.o\n",
            "\u001b[01m\u001b[K./src/connected_layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kforward_connected_layer_gpu\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/connected_layer.c:346:11:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kone\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     float \u001b[01;35m\u001b[Kone\u001b[m\u001b[K = 1;    // alpha[0], beta[0]\n",
            "           \u001b[01;35m\u001b[K^~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/connected_layer.c:344:13:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kc\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     float * \u001b[01;35m\u001b[Kc\u001b[m\u001b[K = l.output_gpu;\n",
            "             \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/connected_layer.c:343:13:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kb\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     float * \u001b[01;35m\u001b[Kb\u001b[m\u001b[K = l.weights_gpu;\n",
            "             \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/connected_layer.c:342:13:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Ka\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     float * \u001b[01;35m\u001b[Ka\u001b[m\u001b[K = state.input;\n",
            "             \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/connected_layer.c:341:9:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kn\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     int \u001b[01;35m\u001b[Kn\u001b[m\u001b[K = l.outputs;\n",
            "         \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/connected_layer.c:340:9:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kk\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     int \u001b[01;35m\u001b[Kk\u001b[m\u001b[K = l.inputs;\n",
            "         \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/connected_layer.c:339:9:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Km\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     int \u001b[01;35m\u001b[Km\u001b[m\u001b[K = l.batch;\n",
            "         \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/cost_layer.c -o obj/cost_layer.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/parser.c -o obj/parser.o\n",
            "\u001b[01m\u001b[K./src/parser.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kparse_network_cfg_custom\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/parser.c:1719:42:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kpassing argument 1 of ‘\u001b[01m\u001b[KcudaHostAlloc\u001b[m\u001b[K’ from incompatible pointer type [\u001b[01;35m\u001b[K-Wincompatible-pointer-types\u001b[m\u001b[K]\n",
            "         if (cudaSuccess == cudaHostAlloc(\u001b[01;35m\u001b[K&\u001b[m\u001b[Knet.input_pinned_cpu, size * sizeof(float), cudaHostRegisterMapped)) net.input_pinned_cpu_flag = 1;\n",
            "                                          \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime.h:96:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[Kinclude/darknet.h:41\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/activations.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/activation_layer.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/parser.c:6\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime_api.h:4707:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kexpected ‘\u001b[01m\u001b[Kvoid **\u001b[m\u001b[K’ but argument is of type ‘\u001b[01m\u001b[Kfloat **\u001b[m\u001b[K’\n",
            " extern __host__ cudaError_t CUDARTAPI \u001b[01;36m\u001b[KcudaHostAlloc\u001b[m\u001b[K(void **pHost, size_t size, unsigned int flags);\n",
            "                                       \u001b[01;36m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/parser.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Ksave_implicit_weights\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/parser.c:1851:9:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Ki\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     int \u001b[01;35m\u001b[Ki\u001b[m\u001b[K;\n",
            "         \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/parser.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kget_classes_multipliers\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/parser.c:438:29:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kargument 1 range [18446744071562067968, 18446744073709551615] exceeds maximum object size 9223372036854775807 [\u001b[01;35m\u001b[K-Walloc-size-larger-than=\u001b[m\u001b[K]\n",
            "         \u001b[01;35m\u001b[Kclasses_multipliers = (float *)calloc(classes_counters, sizeof(float))\u001b[m\u001b[K;\n",
            "         \u001b[01;35m\u001b[K~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K./src/parser.c:3:0\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/include/stdlib.h:541:14:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin a call to allocation function ‘\u001b[01m\u001b[Kcalloc\u001b[m\u001b[K’ declared here\n",
            " extern void *\u001b[01;36m\u001b[Kcalloc\u001b[m\u001b[K (size_t __nmemb, size_t __size)\n",
            "              \u001b[01;36m\u001b[K^~~~~~\u001b[m\u001b[K\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/option_list.c -o obj/option_list.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/darknet.c -o obj/darknet.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/detection_layer.c -o obj/detection_layer.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/captcha.c -o obj/captcha.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/route_layer.c -o obj/route_layer.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/writing.c -o obj/writing.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/box.c -o obj/box.o\n",
            "\u001b[01m\u001b[K./src/box.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kbox_iou_kind\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/box.c:154:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kenumeration value ‘\u001b[01m\u001b[KMSE\u001b[m\u001b[K’ not handled in switch [\u001b[01;35m\u001b[K-Wswitch\u001b[m\u001b[K]\n",
            "     \u001b[01;35m\u001b[Kswitch\u001b[m\u001b[K(iou_kind) {\n",
            "     \u001b[01;35m\u001b[K^~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/box.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kdiounms_sort\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/box.c:898:27:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kbeta_prob\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "                     float \u001b[01;35m\u001b[Kbeta_prob\u001b[m\u001b[K = pow(dets[j].prob[k], 2) / sum_prob;\n",
            "                           \u001b[01;35m\u001b[K^~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/box.c:897:27:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kalpha_prob\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "                     float \u001b[01;35m\u001b[Kalpha_prob\u001b[m\u001b[K = pow(dets[i].prob[k], 2) / sum_prob;\n",
            "                           \u001b[01;35m\u001b[K^~~~~~~~~~\u001b[m\u001b[K\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/nightmare.c -o obj/nightmare.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/normalization_layer.c -o obj/normalization_layer.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/avgpool_layer.c -o obj/avgpool_layer.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/coco.c -o obj/coco.o\n",
            "\u001b[01m\u001b[K./src/coco.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kvalidate_coco_recall\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/coco.c:248:11:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kbase\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     char *\u001b[01;35m\u001b[Kbase\u001b[m\u001b[K = \"results/comp4_det_test_\";\n",
            "           \u001b[01;35m\u001b[K^~~~\u001b[m\u001b[K\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/dice.c -o obj/dice.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/yolo.c -o obj/yolo.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/detector.c -o obj/detector.o\n",
            "\u001b[01m\u001b[K./src/detector.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Ktrain_detector\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/detector.c:386:72:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Ksuggest parentheses around ‘\u001b[01m\u001b[K&&\u001b[m\u001b[K’ within ‘\u001b[01m\u001b[K||\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wparentheses\u001b[m\u001b[K]\n",
            "             \u001b[01;35m\u001b[K(iteration >= (iter_save + 1000) || iteration % 1000 == 0) && net.max_batches < 10000\u001b[m\u001b[K)\n",
            "             \u001b[01;35m\u001b[K~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/detector.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kprint_cocos\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/detector.c:486:29:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat not a string literal and no format arguments [\u001b[01;35m\u001b[K-Wformat-security\u001b[m\u001b[K]\n",
            "                 fprintf(fp, \u001b[01;35m\u001b[Kbuff\u001b[m\u001b[K);\n",
            "                             \u001b[01;35m\u001b[K^~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/detector.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Keliminate_bdd\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/detector.c:579:21:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kstatement with no effect [\u001b[01;35m\u001b[K-Wunused-value\u001b[m\u001b[K]\n",
            "                     \u001b[01;35m\u001b[Kfor\u001b[m\u001b[K (k; buf[k + n] != '\\0'; k++)\n",
            "                     \u001b[01;35m\u001b[K^~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/detector.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kvalidate_detector\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/detector.c:700:13:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kmkd2\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "         int \u001b[01;35m\u001b[Kmkd2\u001b[m\u001b[K = make_directory(buff2, 0777);\n",
            "             \u001b[01;35m\u001b[K^~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/detector.c:698:13:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kmkd\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "         int \u001b[01;35m\u001b[Kmkd\u001b[m\u001b[K = make_directory(buff, 0777);\n",
            "             \u001b[01;35m\u001b[K^~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/detector.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kvalidate_detector_map\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/detector.c:1332:15:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kclass_recall\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "         float \u001b[01;35m\u001b[Kclass_recall\u001b[m\u001b[K = (float)tp_for_thresh_per_class[i] / ((float)tp_for_thresh_per_class[i] + (float)(truth_classes_count[i] - tp_for_thresh_per_class[i]));\n",
            "               \u001b[01;35m\u001b[K^~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/detector.c:1331:15:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kclass_precision\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "         float \u001b[01;35m\u001b[Kclass_precision\u001b[m\u001b[K = (float)tp_for_thresh_per_class[i] / ((float)tp_for_thresh_per_class[i] + (float)fp_for_thresh_per_class[i]);\n",
            "               \u001b[01;35m\u001b[K^~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/detector.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kdraw_object\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/detector.c:1867:19:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kinv_loss\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "             float \u001b[01;35m\u001b[Kinv_loss\u001b[m\u001b[K = 1.0 / max_val_cmp(0.01, avg_loss);\n",
            "                   \u001b[01;35m\u001b[K^~~~~~~~\u001b[m\u001b[K\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/layer.c -o obj/layer.o\n",
            "\u001b[01m\u001b[K./src/layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kfree_layer_custom\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/layer.c:208:68:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Ksuggest parentheses around ‘\u001b[01m\u001b[K&&\u001b[m\u001b[K’ within ‘\u001b[01m\u001b[K||\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wparentheses\u001b[m\u001b[K]\n",
            "     if (l.delta_gpu && (l.optimized_memory < 1 || \u001b[01;35m\u001b[Kl.keep_delta_gpu && l.optimized_memory < 3\u001b[m\u001b[K)) cuda_free(l.delta_gpu), l.delta_gpu = NULL;\n",
            "                                                   \u001b[01;35m\u001b[K~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/compare.c -o obj/compare.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/classifier.c -o obj/classifier.o\n",
            "\u001b[01m\u001b[K./src/classifier.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Ktrain_classifier\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/classifier.c:146:9:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kcount\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     int \u001b[01;35m\u001b[Kcount\u001b[m\u001b[K = 0;\n",
            "         \u001b[01;35m\u001b[K^~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/classifier.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kpredict_classifier\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/classifier.c:855:13:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Ktime\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     clock_t \u001b[01;35m\u001b[Ktime\u001b[m\u001b[K;\n",
            "             \u001b[01;35m\u001b[K^~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/classifier.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kdemo_classifier\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/classifier.c:1287:49:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Ktval_result\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "         struct timeval tval_before, tval_after, \u001b[01;35m\u001b[Ktval_result\u001b[m\u001b[K;\n",
            "                                                 \u001b[01;35m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/classifier.c:1287:37:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Ktval_after\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "         struct timeval tval_before, \u001b[01;35m\u001b[Ktval_after\u001b[m\u001b[K, tval_result;\n",
            "                                     \u001b[01;35m\u001b[K^~~~~~~~~~\u001b[m\u001b[K\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/local_layer.c -o obj/local_layer.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/swag.c -o obj/swag.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/shortcut_layer.c -o obj/shortcut_layer.o\n",
            "\u001b[01m\u001b[K./src/shortcut_layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kmake_shortcut_layer\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/shortcut_layer.c:55:15:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kscale\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "         float \u001b[01;35m\u001b[Kscale\u001b[m\u001b[K = sqrt(2. / l.nweights);\n",
            "               \u001b[01;35m\u001b[K^~~~~\u001b[m\u001b[K\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/representation_layer.c -o obj/representation_layer.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/activation_layer.c -o obj/activation_layer.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/rnn_layer.c -o obj/rnn_layer.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/gru_layer.c -o obj/gru_layer.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/rnn.c -o obj/rnn.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/rnn_vid.c -o obj/rnn_vid.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/crnn_layer.c -o obj/crnn_layer.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/demo.c -o obj/demo.o\n",
            "\u001b[01m\u001b[K./src/demo.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kdetect_in_thread\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/demo.c:101:15:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kl\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "         layer \u001b[01;35m\u001b[Kl\u001b[m\u001b[K = net.layers[net.n - 1];\n",
            "               \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/tag.c -o obj/tag.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/cifar.c -o obj/cifar.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/go.c -o obj/go.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/batchnorm_layer.c -o obj/batchnorm_layer.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/art.c -o obj/art.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/region_layer.c -o obj/region_layer.o\n",
            "\u001b[01m\u001b[K./src/region_layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kresize_region_layer\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/region_layer.c:59:9:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kold_h\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     int \u001b[01;35m\u001b[Kold_h\u001b[m\u001b[K = l->h;\n",
            "         \u001b[01;35m\u001b[K^~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/region_layer.c:58:9:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kold_w\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     int \u001b[01;35m\u001b[Kold_w\u001b[m\u001b[K = l->w;\n",
            "         \u001b[01;35m\u001b[K^~~~~\u001b[m\u001b[K\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/reorg_layer.c -o obj/reorg_layer.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/reorg_old_layer.c -o obj/reorg_old_layer.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/super.c -o obj/super.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/voxel.c -o obj/voxel.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/tree.c -o obj/tree.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/yolo_layer.c -o obj/yolo_layer.o\n",
            "\u001b[01m\u001b[K./src/yolo_layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kmake_yolo_layer\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/yolo_layer.c:68:38:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kpassing argument 1 of ‘\u001b[01m\u001b[KcudaHostAlloc\u001b[m\u001b[K’ from incompatible pointer type [\u001b[01;35m\u001b[K-Wincompatible-pointer-types\u001b[m\u001b[K]\n",
            "     if (cudaSuccess == cudaHostAlloc(\u001b[01;35m\u001b[K&\u001b[m\u001b[Kl.output, batch*l.outputs*sizeof(float), cudaHostRegisterMapped)) l.output_pinned = 1;\n",
            "                                      \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime.h:96:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[Kinclude/darknet.h:41\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/activations.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/layer.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/yolo_layer.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/yolo_layer.c:1\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime_api.h:4707:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kexpected ‘\u001b[01m\u001b[Kvoid **\u001b[m\u001b[K’ but argument is of type ‘\u001b[01m\u001b[Kfloat **\u001b[m\u001b[K’\n",
            " extern __host__ cudaError_t CUDARTAPI \u001b[01;36m\u001b[KcudaHostAlloc\u001b[m\u001b[K(void **pHost, size_t size, unsigned int flags);\n",
            "                                       \u001b[01;36m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/yolo_layer.c:75:38:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kpassing argument 1 of ‘\u001b[01m\u001b[KcudaHostAlloc\u001b[m\u001b[K’ from incompatible pointer type [\u001b[01;35m\u001b[K-Wincompatible-pointer-types\u001b[m\u001b[K]\n",
            "     if (cudaSuccess == cudaHostAlloc(\u001b[01;35m\u001b[K&\u001b[m\u001b[Kl.delta, batch*l.outputs*sizeof(float), cudaHostRegisterMapped)) l.delta_pinned = 1;\n",
            "                                      \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime.h:96:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[Kinclude/darknet.h:41\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/activations.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/layer.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/yolo_layer.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/yolo_layer.c:1\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime_api.h:4707:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kexpected ‘\u001b[01m\u001b[Kvoid **\u001b[m\u001b[K’ but argument is of type ‘\u001b[01m\u001b[Kfloat **\u001b[m\u001b[K’\n",
            " extern __host__ cudaError_t CUDARTAPI \u001b[01;36m\u001b[KcudaHostAlloc\u001b[m\u001b[K(void **pHost, size_t size, unsigned int flags);\n",
            "                                       \u001b[01;36m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/yolo_layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kresize_yolo_layer\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/yolo_layer.c:106:42:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kpassing argument 1 of ‘\u001b[01m\u001b[KcudaHostAlloc\u001b[m\u001b[K’ from incompatible pointer type [\u001b[01;35m\u001b[K-Wincompatible-pointer-types\u001b[m\u001b[K]\n",
            "         if (cudaSuccess != cudaHostAlloc(\u001b[01;35m\u001b[K&\u001b[m\u001b[Kl->output, l->batch*l->outputs * sizeof(float), cudaHostRegisterMapped)) {\n",
            "                                          \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime.h:96:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[Kinclude/darknet.h:41\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/activations.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/layer.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/yolo_layer.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/yolo_layer.c:1\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime_api.h:4707:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kexpected ‘\u001b[01m\u001b[Kvoid **\u001b[m\u001b[K’ but argument is of type ‘\u001b[01m\u001b[Kfloat **\u001b[m\u001b[K’\n",
            " extern __host__ cudaError_t CUDARTAPI \u001b[01;36m\u001b[KcudaHostAlloc\u001b[m\u001b[K(void **pHost, size_t size, unsigned int flags);\n",
            "                                       \u001b[01;36m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/yolo_layer.c:115:42:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kpassing argument 1 of ‘\u001b[01m\u001b[KcudaHostAlloc\u001b[m\u001b[K’ from incompatible pointer type [\u001b[01;35m\u001b[K-Wincompatible-pointer-types\u001b[m\u001b[K]\n",
            "         if (cudaSuccess != cudaHostAlloc(\u001b[01;35m\u001b[K&\u001b[m\u001b[Kl->delta, l->batch*l->outputs * sizeof(float), cudaHostRegisterMapped)) {\n",
            "                                          \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime.h:96:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[Kinclude/darknet.h:41\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/activations.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/layer.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/yolo_layer.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/yolo_layer.c:1\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime_api.h:4707:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kexpected ‘\u001b[01m\u001b[Kvoid **\u001b[m\u001b[K’ but argument is of type ‘\u001b[01m\u001b[Kfloat **\u001b[m\u001b[K’\n",
            " extern __host__ cudaError_t CUDARTAPI \u001b[01;36m\u001b[KcudaHostAlloc\u001b[m\u001b[K(void **pHost, size_t size, unsigned int flags);\n",
            "                                       \u001b[01;36m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/yolo_layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kprocess_batch\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/yolo_layer.c:426:25:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kvariable ‘\u001b[01m\u001b[Kbest_match_t\u001b[m\u001b[K’ set but not used [\u001b[01;35m\u001b[K-Wunused-but-set-variable\u001b[m\u001b[K]\n",
            "                     int \u001b[01;35m\u001b[Kbest_match_t\u001b[m\u001b[K = 0;\n",
            "                         \u001b[01;35m\u001b[K^~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/yolo_layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kforward_yolo_layer\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/yolo_layer.c:707:11:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kavg_anyobj\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     float \u001b[01;35m\u001b[Kavg_anyobj\u001b[m\u001b[K = 0;\n",
            "           \u001b[01;35m\u001b[K^~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/yolo_layer.c:706:11:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kavg_obj\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     float \u001b[01;35m\u001b[Kavg_obj\u001b[m\u001b[K = 0;\n",
            "           \u001b[01;35m\u001b[K^~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/yolo_layer.c:705:11:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kavg_cat\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     float \u001b[01;35m\u001b[Kavg_cat\u001b[m\u001b[K = 0;\n",
            "           \u001b[01;35m\u001b[K^~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/yolo_layer.c:704:11:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Krecall75\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     float \u001b[01;35m\u001b[Krecall75\u001b[m\u001b[K = 0;\n",
            "           \u001b[01;35m\u001b[K^~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/yolo_layer.c:703:11:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Krecall\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     float \u001b[01;35m\u001b[Krecall\u001b[m\u001b[K = 0;\n",
            "           \u001b[01;35m\u001b[K^~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/yolo_layer.c:702:11:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Ktot_ciou_loss\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     float \u001b[01;35m\u001b[Ktot_ciou_loss\u001b[m\u001b[K = 0;\n",
            "           \u001b[01;35m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/yolo_layer.c:701:11:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Ktot_diou_loss\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     float \u001b[01;35m\u001b[Ktot_diou_loss\u001b[m\u001b[K = 0;\n",
            "           \u001b[01;35m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/yolo_layer.c:698:11:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Ktot_ciou\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     float \u001b[01;35m\u001b[Ktot_ciou\u001b[m\u001b[K = 0;\n",
            "           \u001b[01;35m\u001b[K^~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/yolo_layer.c:697:11:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Ktot_diou\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     float \u001b[01;35m\u001b[Ktot_diou\u001b[m\u001b[K = 0;\n",
            "           \u001b[01;35m\u001b[K^~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/yolo_layer.c:696:11:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Ktot_giou\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     float \u001b[01;35m\u001b[Ktot_giou\u001b[m\u001b[K = 0;\n",
            "           \u001b[01;35m\u001b[K^~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/yolo_layer.c:668:12:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kn\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n",
            "     int b, \u001b[01;35m\u001b[Kn\u001b[m\u001b[K;\n",
            "            \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/gaussian_yolo_layer.c -o obj/gaussian_yolo_layer.o\n",
            "\u001b[01m\u001b[K./src/gaussian_yolo_layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kmake_gaussian_yolo_layer\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/gaussian_yolo_layer.c:72:38:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kpassing argument 1 of ‘\u001b[01m\u001b[KcudaHostAlloc\u001b[m\u001b[K’ from incompatible pointer type [\u001b[01;35m\u001b[K-Wincompatible-pointer-types\u001b[m\u001b[K]\n",
            "     if (cudaSuccess == cudaHostAlloc(\u001b[01;35m\u001b[K&\u001b[m\u001b[Kl.output, batch*l.outputs * sizeof(float), cudaHostRegisterMapped)) l.output_pinned = 1;\n",
            "                                      \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime.h:96:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[Kinclude/darknet.h:41\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/gaussian_yolo_layer.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/gaussian_yolo_layer.c:7\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime_api.h:4707:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kexpected ‘\u001b[01m\u001b[Kvoid **\u001b[m\u001b[K’ but argument is of type ‘\u001b[01m\u001b[Kfloat **\u001b[m\u001b[K’\n",
            " extern __host__ cudaError_t CUDARTAPI \u001b[01;36m\u001b[KcudaHostAlloc\u001b[m\u001b[K(void **pHost, size_t size, unsigned int flags);\n",
            "                                       \u001b[01;36m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/gaussian_yolo_layer.c:79:38:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kpassing argument 1 of ‘\u001b[01m\u001b[KcudaHostAlloc\u001b[m\u001b[K’ from incompatible pointer type [\u001b[01;35m\u001b[K-Wincompatible-pointer-types\u001b[m\u001b[K]\n",
            "     if (cudaSuccess == cudaHostAlloc(\u001b[01;35m\u001b[K&\u001b[m\u001b[Kl.delta, batch*l.outputs * sizeof(float), cudaHostRegisterMapped)) l.delta_pinned = 1;\n",
            "                                      \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime.h:96:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[Kinclude/darknet.h:41\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/gaussian_yolo_layer.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/gaussian_yolo_layer.c:7\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime_api.h:4707:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kexpected ‘\u001b[01m\u001b[Kvoid **\u001b[m\u001b[K’ but argument is of type ‘\u001b[01m\u001b[Kfloat **\u001b[m\u001b[K’\n",
            " extern __host__ cudaError_t CUDARTAPI \u001b[01;36m\u001b[KcudaHostAlloc\u001b[m\u001b[K(void **pHost, size_t size, unsigned int flags);\n",
            "                                       \u001b[01;36m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/gaussian_yolo_layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kresize_gaussian_yolo_layer\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/gaussian_yolo_layer.c:111:42:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kpassing argument 1 of ‘\u001b[01m\u001b[KcudaHostAlloc\u001b[m\u001b[K’ from incompatible pointer type [\u001b[01;35m\u001b[K-Wincompatible-pointer-types\u001b[m\u001b[K]\n",
            "         if (cudaSuccess != cudaHostAlloc(\u001b[01;35m\u001b[K&\u001b[m\u001b[Kl->output, l->batch*l->outputs * sizeof(float), cudaHostRegisterMapped)) {\n",
            "                                          \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime.h:96:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[Kinclude/darknet.h:41\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/gaussian_yolo_layer.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/gaussian_yolo_layer.c:7\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime_api.h:4707:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kexpected ‘\u001b[01m\u001b[Kvoid **\u001b[m\u001b[K’ but argument is of type ‘\u001b[01m\u001b[Kfloat **\u001b[m\u001b[K’\n",
            " extern __host__ cudaError_t CUDARTAPI \u001b[01;36m\u001b[KcudaHostAlloc\u001b[m\u001b[K(void **pHost, size_t size, unsigned int flags);\n",
            "                                       \u001b[01;36m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K./src/gaussian_yolo_layer.c:120:42:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kpassing argument 1 of ‘\u001b[01m\u001b[KcudaHostAlloc\u001b[m\u001b[K’ from incompatible pointer type [\u001b[01;35m\u001b[K-Wincompatible-pointer-types\u001b[m\u001b[K]\n",
            "         if (cudaSuccess != cudaHostAlloc(\u001b[01;35m\u001b[K&\u001b[m\u001b[Kl->delta, l->batch*l->outputs * sizeof(float), cudaHostRegisterMapped)) {\n",
            "                                          \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime.h:96:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[Kinclude/darknet.h:41\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/gaussian_yolo_layer.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K./src/gaussian_yolo_layer.c:7\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime_api.h:4707:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kexpected ‘\u001b[01m\u001b[Kvoid **\u001b[m\u001b[K’ but argument is of type ‘\u001b[01m\u001b[Kfloat **\u001b[m\u001b[K’\n",
            " extern __host__ cudaError_t CUDARTAPI \u001b[01;36m\u001b[KcudaHostAlloc\u001b[m\u001b[K(void **pHost, size_t size, unsigned int flags);\n",
            "                                       \u001b[01;36m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/upsample_layer.c -o obj/upsample_layer.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/lstm_layer.c -o obj/lstm_layer.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/conv_lstm_layer.c -o obj/conv_lstm_layer.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/scale_channels_layer.c -o obj/scale_channels_layer.o\n",
            "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF -c ./src/sam_layer.c -o obj/sam_layer.o\n",
            "nvcc -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -gencode arch=compute_61,code=[sm_61,compute_61] -gencode arch=compute_70,code=[sm_70,compute_70] -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF --compiler-options \"-Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF\" -c ./src/convolutional_kernels.cu -o obj/convolutional_kernels.o\n",
            "nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).\n",
            "nvcc -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -gencode arch=compute_61,code=[sm_61,compute_61] -gencode arch=compute_70,code=[sm_70,compute_70] -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF --compiler-options \"-Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF\" -c ./src/activation_kernels.cu -o obj/activation_kernels.o\n",
            "nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).\n",
            "./src/activation_kernels.cu(263): warning: variable \"MISH_THRESHOLD\" was declared but never referenced\n",
            "\n",
            "./src/activation_kernels.cu(263): warning: variable \"MISH_THRESHOLD\" was declared but never referenced\n",
            "\n",
            "./src/activation_kernels.cu(263): warning: variable \"MISH_THRESHOLD\" was declared but never referenced\n",
            "\n",
            "./src/activation_kernels.cu(263): warning: variable \"MISH_THRESHOLD\" was declared but never referenced\n",
            "\n",
            "./src/activation_kernels.cu(263): warning: variable \"MISH_THRESHOLD\" was declared but never referenced\n",
            "\n",
            "nvcc -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -gencode arch=compute_61,code=[sm_61,compute_61] -gencode arch=compute_70,code=[sm_70,compute_70] -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF --compiler-options \"-Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF\" -c ./src/im2col_kernels.cu -o obj/im2col_kernels.o\n",
            "nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).\n",
            "nvcc -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -gencode arch=compute_61,code=[sm_61,compute_61] -gencode arch=compute_70,code=[sm_70,compute_70] -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF --compiler-options \"-Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF\" -c ./src/col2im_kernels.cu -o obj/col2im_kernels.o\n",
            "nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).\n",
            "nvcc -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -gencode arch=compute_61,code=[sm_61,compute_61] -gencode arch=compute_70,code=[sm_70,compute_70] -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF --compiler-options \"-Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF\" -c ./src/blas_kernels.cu -o obj/blas_kernels.o\n",
            "nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).\n",
            "./src/blas_kernels.cu(1086): warning: variable \"out_index\" was declared but never referenced\n",
            "\n",
            "./src/blas_kernels.cu(1130): warning: variable \"step\" was set but never used\n",
            "\n",
            "./src/blas_kernels.cu(1736): warning: variable \"stage_id\" was declared but never referenced\n",
            "\n",
            "./src/blas_kernels.cu(1086): warning: variable \"out_index\" was declared but never referenced\n",
            "\n",
            "./src/blas_kernels.cu(1130): warning: variable \"step\" was set but never used\n",
            "\n",
            "./src/blas_kernels.cu(1736): warning: variable \"stage_id\" was declared but never referenced\n",
            "\n",
            "./src/blas_kernels.cu(1086): warning: variable \"out_index\" was declared but never referenced\n",
            "\n",
            "./src/blas_kernels.cu(1130): warning: variable \"step\" was set but never used\n",
            "\n",
            "./src/blas_kernels.cu(1736): warning: variable \"stage_id\" was declared but never referenced\n",
            "\n",
            "./src/blas_kernels.cu(1086): warning: variable \"out_index\" was declared but never referenced\n",
            "\n",
            "./src/blas_kernels.cu(1130): warning: variable \"step\" was set but never used\n",
            "\n",
            "./src/blas_kernels.cu(1736): warning: variable \"stage_id\" was declared but never referenced\n",
            "\n",
            "./src/blas_kernels.cu(1086): warning: variable \"out_index\" was declared but never referenced\n",
            "\n",
            "./src/blas_kernels.cu(1130): warning: variable \"step\" was set but never used\n",
            "\n",
            "./src/blas_kernels.cu(1736): warning: variable \"stage_id\" was declared but never referenced\n",
            "\n",
            "\u001b[01m\u001b[K./src/blas_kernels.cu:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kvoid backward_shortcut_multilayer_gpu(int, int, int, int*, float**, float*, float*, float*, float*, int, float*, float**, WEIGHTS_NORMALIZATION_T)\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/blas_kernels.cu:1130:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kvariable ‘\u001b[01m\u001b[Kstep\u001b[m\u001b[K’ set but not used [\u001b[01;35m\u001b[K-Wunused-but-set-variable\u001b[m\u001b[K]\n",
            "     \u001b[01;35m\u001b[Kint \u001b[m\u001b[Kstep = 0;\n",
            "     \u001b[01;35m\u001b[K^~~~\u001b[m\u001b[K\n",
            "nvcc -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -gencode arch=compute_61,code=[sm_61,compute_61] -gencode arch=compute_70,code=[sm_70,compute_70] -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF --compiler-options \"-Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF\" -c ./src/crop_layer_kernels.cu -o obj/crop_layer_kernels.o\n",
            "nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).\n",
            "nvcc -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -gencode arch=compute_61,code=[sm_61,compute_61] -gencode arch=compute_70,code=[sm_70,compute_70] -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF --compiler-options \"-Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF\" -c ./src/dropout_layer_kernels.cu -o obj/dropout_layer_kernels.o\n",
            "nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).\n",
            "nvcc -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -gencode arch=compute_61,code=[sm_61,compute_61] -gencode arch=compute_70,code=[sm_70,compute_70] -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF --compiler-options \"-Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF\" -c ./src/maxpool_layer_kernels.cu -o obj/maxpool_layer_kernels.o\n",
            "nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).\n",
            "nvcc -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -gencode arch=compute_61,code=[sm_61,compute_61] -gencode arch=compute_70,code=[sm_70,compute_70] -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF --compiler-options \"-Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF\" -c ./src/network_kernels.cu -o obj/network_kernels.o\n",
            "nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).\n",
            "./src/network_kernels.cu(364): warning: variable \"l\" was declared but never referenced\n",
            "\n",
            "./src/network_kernels.cu(364): warning: variable \"l\" was declared but never referenced\n",
            "\n",
            "./src/network_kernels.cu(364): warning: variable \"l\" was declared but never referenced\n",
            "\n",
            "./src/network_kernels.cu(364): warning: variable \"l\" was declared but never referenced\n",
            "\n",
            "./src/network_kernels.cu(364): warning: variable \"l\" was declared but never referenced\n",
            "\n",
            "\u001b[01m\u001b[K./src/network_kernels.cu:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kfloat train_network_datum_gpu(network, float*, float*)\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K./src/network_kernels.cu:364:7:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kvariable ‘\u001b[01m\u001b[Kl\u001b[m\u001b[K’ set but not used [\u001b[01;35m\u001b[K-Wunused-but-set-variable\u001b[m\u001b[K]\n",
            "       \u001b[01;35m\u001b[K \u001b[m\u001b[K layer l = net.layers[net.n - 1];\n",
            "       \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "nvcc -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -gencode arch=compute_61,code=[sm_61,compute_61] -gencode arch=compute_70,code=[sm_70,compute_70] -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF --compiler-options \"-Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF\" -c ./src/avgpool_layer_kernels.cu -o obj/avgpool_layer_kernels.o\n",
            "nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).\n",
            "g++ -std=c++11 -std=c++11 -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -DCUDNN_HALF -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -DCUDNN_HALF obj/image_opencv.o obj/http_stream.o obj/gemm.o obj/utils.o obj/dark_cuda.o obj/convolutional_layer.o obj/list.o obj/image.o obj/activations.o obj/im2col.o obj/col2im.o obj/blas.o obj/crop_layer.o obj/dropout_layer.o obj/maxpool_layer.o obj/softmax_layer.o obj/data.o obj/matrix.o obj/network.o obj/connected_layer.o obj/cost_layer.o obj/parser.o obj/option_list.o obj/darknet.o obj/detection_layer.o obj/captcha.o obj/route_layer.o obj/writing.o obj/box.o obj/nightmare.o obj/normalization_layer.o obj/avgpool_layer.o obj/coco.o obj/dice.o obj/yolo.o obj/detector.o obj/layer.o obj/compare.o obj/classifier.o obj/local_layer.o obj/swag.o obj/shortcut_layer.o obj/representation_layer.o obj/activation_layer.o obj/rnn_layer.o obj/gru_layer.o obj/rnn.o obj/rnn_vid.o obj/crnn_layer.o obj/demo.o obj/tag.o obj/cifar.o obj/go.o obj/batchnorm_layer.o obj/art.o obj/region_layer.o obj/reorg_layer.o obj/reorg_old_layer.o obj/super.o obj/voxel.o obj/tree.o obj/yolo_layer.o obj/gaussian_yolo_layer.o obj/upsample_layer.o obj/lstm_layer.o obj/conv_lstm_layer.o obj/scale_channels_layer.o obj/sam_layer.o obj/convolutional_kernels.o obj/activation_kernels.o obj/im2col_kernels.o obj/col2im_kernels.o obj/blas_kernels.o obj/crop_layer_kernels.o obj/dropout_layer_kernels.o obj/maxpool_layer_kernels.o obj/network_kernels.o obj/avgpool_layer_kernels.o -o darknet -lm -pthread `pkg-config --libs opencv4 2> /dev/null || pkg-config --libs opencv` -L/usr/local/cuda/lib64 -lcuda -lcudart -lcublas -lcurand -L/usr/local/cudnn/lib64 -lcudnn -lstdc++\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ycSM_fYPrLSl"
      },
      "source": [
        "#Helper functions\n",
        "def imShow(path):\n",
        "  import cv2\n",
        "  import matplotlib.pyplot as plt\n",
        "  %matplotlib inline\n",
        "\n",
        "  image = cv2.imread(path)\n",
        "  height, width = image.shape[:2]\n",
        "  resized_image = cv2.resize(image,(3*width, 3*height), interpolation = cv2.INTER_CUBIC)\n",
        "\n",
        "  fig = plt.gcf()\n",
        "  fig.set_size_inches(18, 10)\n",
        "  plt.axis(\"off\")\n",
        "  plt.imshow(cv2.cvtColor(resized_image, cv2.COLOR_BGR2RGB))\n",
        "  plt.show()\n",
        "\n",
        "# use this to upload files\n",
        "def upload():\n",
        "  from google.colab import files\n",
        "  uploaded = files.upload()\n",
        "  for name, data in uploaded.items():\n",
        "    with open(name, 'wb') as f:\n",
        "      f.write(data)\n",
        "      print ('saved file', name)\n",
        "\n",
        "# use this to download a file\n",
        "def download(path):\n",
        "  from google.colab import files\n",
        "  files.download(path)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KcpRrmObrRZT",
        "outputId": "ef3581b6-9dfd-4464-a9e5-5e20bd15ffc2"
      },
      "source": [
        "#Mount your drive\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "a1HPnxf8riAU",
        "outputId": "8cf668ba-2fe9-4953-c958-0e91e3a657d5"
      },
      "source": [
        "#Check we can access files\n",
        "!ls /content/drive/MyDrive/Yolov4"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "backup\tcmbImages  data  textFiles  yolov4Custom.cfg\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "f8FzQDxLrn3J"
      },
      "source": [
        "#Upload the .cfg file\n",
        "!cp /content/drive/MyDrive/Yolov4/yolov4Custom.cfg ./cfg"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MuXl8UiNr3L9"
      },
      "source": [
        "#Upload obj.names and obj.data\n",
        "!cp /content/drive/MyDrive/Yolov4/data/obj.names ./data\n",
        "!cp /content/drive/MyDrive/Yolov4/data/obj.data  ./data"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SalvcXBhr-GT"
      },
      "source": [
        "#Upload all the images and corresponding text files. First create a folder obj./data\n",
        "!cp /content/drive/MyDrive/Yolov4/cmbImages/*.jpg ./data/obj\n",
        "!cp /content/drive/MyDrive/Yolov4/textFiles/*.txt ./data/obj"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mtkjGYIltBFA"
      },
      "source": [
        "#Also, uplaod train and test files to cloud\n",
        "!cp /content/drive/MyDrive/Yolov4/data/train.txt ./data\n",
        "!cp /content/drive/MyDrive/Yolov4/data/test.txt ./data"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6_Se9lZUtU46",
        "outputId": "3b70dd00-5ac9-4887-b87d-7e3f82f22543"
      },
      "source": [
        "#Download pretrained weights\n",
        "!wget https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v3_optimal/yolov4.conv.137"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2021-06-03 18:53:26--  https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v3_optimal/yolov4.conv.137\n",
            "Resolving github.com (github.com)... 192.30.255.112\n",
            "Connecting to github.com (github.com)|192.30.255.112|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://github-releases.githubusercontent.com/75388965/48bfe500-889d-11ea-819e-c4d182fcf0db?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20210603%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20210603T185326Z&X-Amz-Expires=300&X-Amz-Signature=b2f17b48cd4e8f0f8c0b3531f552072b2a52cba3f43e2022b20116db1af5579c&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=75388965&response-content-disposition=attachment%3B%20filename%3Dyolov4.conv.137&response-content-type=application%2Foctet-stream [following]\n",
            "--2021-06-03 18:53:26--  https://github-releases.githubusercontent.com/75388965/48bfe500-889d-11ea-819e-c4d182fcf0db?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20210603%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20210603T185326Z&X-Amz-Expires=300&X-Amz-Signature=b2f17b48cd4e8f0f8c0b3531f552072b2a52cba3f43e2022b20116db1af5579c&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=75388965&response-content-disposition=attachment%3B%20filename%3Dyolov4.conv.137&response-content-type=application%2Foctet-stream\n",
            "Resolving github-releases.githubusercontent.com (github-releases.githubusercontent.com)... 185.199.109.154, 185.199.108.154, 185.199.110.154, ...\n",
            "Connecting to github-releases.githubusercontent.com (github-releases.githubusercontent.com)|185.199.109.154|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 170038676 (162M) [application/octet-stream]\n",
            "Saving to: ‘yolov4.conv.137’\n",
            "\n",
            "yolov4.conv.137     100%[===================>] 162.16M  87.3MB/s    in 1.9s    \n",
            "\n",
            "2021-06-03 18:53:28 (87.3 MB/s) - ‘yolov4.conv.137’ saved [170038676/170038676]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "id": "EtaNUZgStbmS",
        "outputId": "37b026d6-0b06-4391-fb7b-b84bfc261637"
      },
      "source": [
        "\"\"\"\n",
        "#To avoid getting kicked off from colab, paste this in your console\n",
        "function ClickConnect(){\n",
        "console.log(\"Working\");\n",
        "document\n",
        "  .querySelector('#top-toolbar > colab-connect-button')\n",
        "  .shadowRoot.querySelector('#connect')\n",
        "  .click()\n",
        "}\n",
        "setInterval(ClickConnect,60000)\n",
        "\"\"\""
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'\\n#To avoid getting kicked off from colab, paste this in your console\\nfunction ClickConnect(){\\nconsole.log(\"Working\"); \\ndocument\\n  .querySelector(\\'#top-toolbar > colab-connect-button\\')\\n  .shadowRoot.querySelector(\\'#connect\\')\\n  .click() \\n}\\nsetInterval(ClickConnect,60000)\\n'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "q7Gle_6nt6I7",
        "outputId": "3d11e665-413c-4a3e-e21d-3efb67780d02"
      },
      "source": [
        "#Model can be trained now\n",
        "!./darknet detector train data/obj.data cfg/yolov4Custom.cfg yolov4.conv.137 -dont_show -map"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " CUDA-version: 11000 (11020), cuDNN: 7.6.5, CUDNN_HALF=1, GPU count: 1  \n",
            " CUDNN_HALF=1 \n",
            " OpenCV version: 3.2.0\n",
            " Prepare additional network for mAP calculation...\n",
            " 0 : compute_capability = 750, cudnn_half = 1, GPU: Tesla T4 \n",
            "net.optimized_memory = 0 \n",
            "mini_batch = 1, batch = 8, time_steps = 1, train = 0 \n",
            "   layer   filters  size/strd(dil)      input                output\n",
            "   0 Create CUDA-stream - 0 \n",
            " Create cudnn-handle 0 \n",
            "conv     32       3 x 3/ 1    448 x 448 x   3 ->  448 x 448 x  32 0.347 BF\n",
            "   1 max                2x 2/ 2    448 x 448 x  32 ->  224 x 224 x  32 0.006 BF\n",
            "   2 conv     64       3 x 3/ 1    224 x 224 x  32 ->  224 x 224 x  64 1.850 BF\n",
            "   3 max                2x 2/ 2    224 x 224 x  64 ->  112 x 112 x  64 0.003 BF\n",
            "   4 conv    128       3 x 3/ 1    112 x 112 x  64 ->  112 x 112 x 128 1.850 BF\n",
            "   5 conv     64       1 x 1/ 1    112 x 112 x 128 ->  112 x 112 x  64 0.206 BF\n",
            "   6 conv    128       3 x 3/ 1    112 x 112 x  64 ->  112 x 112 x 128 1.850 BF\n",
            "   7 max                2x 2/ 2    112 x 112 x 128 ->   56 x  56 x 128 0.002 BF\n",
            "   8 conv    256       3 x 3/ 1     56 x  56 x 128 ->   56 x  56 x 256 1.850 BF\n",
            "   9 conv    128       1 x 1/ 1     56 x  56 x 256 ->   56 x  56 x 128 0.206 BF\n",
            "  10 conv    256       3 x 3/ 1     56 x  56 x 128 ->   56 x  56 x 256 1.850 BF\n",
            "  11 max                2x 2/ 2     56 x  56 x 256 ->   28 x  28 x 256 0.001 BF\n",
            "  12 conv    512       3 x 3/ 1     28 x  28 x 256 ->   28 x  28 x 512 1.850 BF\n",
            "  13 conv    256       1 x 1/ 1     28 x  28 x 512 ->   28 x  28 x 256 0.206 BF\n",
            "  14 conv    512       3 x 3/ 1     28 x  28 x 256 ->   28 x  28 x 512 1.850 BF\n",
            "  15 conv    256       1 x 1/ 1     28 x  28 x 512 ->   28 x  28 x 256 0.206 BF\n",
            "  16 conv    512       3 x 3/ 1     28 x  28 x 256 ->   28 x  28 x 512 1.850 BF\n",
            "  17 max                2x 2/ 2     28 x  28 x 512 ->   14 x  14 x 512 0.000 BF\n",
            "  18 conv   1024       3 x 3/ 1     14 x  14 x 512 ->   14 x  14 x1024 1.850 BF\n",
            "  19 conv    512       1 x 1/ 1     14 x  14 x1024 ->   14 x  14 x 512 0.206 BF\n",
            "  20 conv   1024       3 x 3/ 1     14 x  14 x 512 ->   14 x  14 x1024 1.850 BF\n",
            "  21 conv    512       1 x 1/ 1     14 x  14 x1024 ->   14 x  14 x 512 0.206 BF\n",
            "  22 conv   1024       3 x 3/ 1     14 x  14 x 512 ->   14 x  14 x1024 1.850 BF\n",
            "  23 conv   1024       3 x 3/ 1     14 x  14 x1024 ->   14 x  14 x1024 3.699 BF\n",
            "  24 conv   1024       3 x 3/ 1     14 x  14 x1024 ->   14 x  14 x1024 3.699 BF\n",
            "  25 route  16 \t\t                           ->   28 x  28 x 512 \n",
            "  26 conv     64       1 x 1/ 1     28 x  28 x 512 ->   28 x  28 x  64 0.051 BF\n",
            "  27 \n",
            " reorg_old \n",
            "reorg_old              / 2    28 x  28 x  64   ->    14 x  14 x 256\n",
            "  28 route  27 24 \t                           ->   14 x  14 x1280 \n",
            "  29 conv   1024       3 x 3/ 1     14 x  14 x1280 ->   14 x  14 x1024 4.624 BF\n",
            "  30 conv     30       1 x 1/ 1     14 x  14 x1024 ->   14 x  14 x  30 0.012 BF\n",
            "  31 detection\n",
            "mask_scale: Using default '1.000000'\n",
            "Total BFLOPS 34.025 \n",
            "avg_outputs = 704399 \n",
            " Allocate additional workspace_size = 131.08 MB \n",
            "yolov4Custom\n",
            " 0 : compute_capability = 750, cudnn_half = 1, GPU: Tesla T4 \n",
            "net.optimized_memory = 0 \n",
            "mini_batch = 2, batch = 16, time_steps = 1, train = 1 \n",
            "   layer   filters  size/strd(dil)      input                output\n",
            "   0 conv     32       3 x 3/ 1    448 x 448 x   3 ->  448 x 448 x  32 0.347 BF\n",
            "   1 max                2x 2/ 2    448 x 448 x  32 ->  224 x 224 x  32 0.006 BF\n",
            "   2 conv     64       3 x 3/ 1    224 x 224 x  32 ->  224 x 224 x  64 1.850 BF\n",
            "   3 max                2x 2/ 2    224 x 224 x  64 ->  112 x 112 x  64 0.003 BF\n",
            "   4 conv    128       3 x 3/ 1    112 x 112 x  64 ->  112 x 112 x 128 1.850 BF\n",
            "   5 conv     64       1 x 1/ 1    112 x 112 x 128 ->  112 x 112 x  64 0.206 BF\n",
            "   6 conv    128       3 x 3/ 1    112 x 112 x  64 ->  112 x 112 x 128 1.850 BF\n",
            "   7 max                2x 2/ 2    112 x 112 x 128 ->   56 x  56 x 128 0.002 BF\n",
            "   8 conv    256       3 x 3/ 1     56 x  56 x 128 ->   56 x  56 x 256 1.850 BF\n",
            "   9 conv    128       1 x 1/ 1     56 x  56 x 256 ->   56 x  56 x 128 0.206 BF\n",
            "  10 conv    256       3 x 3/ 1     56 x  56 x 128 ->   56 x  56 x 256 1.850 BF\n",
            "  11 max                2x 2/ 2     56 x  56 x 256 ->   28 x  28 x 256 0.001 BF\n",
            "  12 conv    512       3 x 3/ 1     28 x  28 x 256 ->   28 x  28 x 512 1.850 BF\n",
            "  13 conv    256       1 x 1/ 1     28 x  28 x 512 ->   28 x  28 x 256 0.206 BF\n",
            "  14 conv    512       3 x 3/ 1     28 x  28 x 256 ->   28 x  28 x 512 1.850 BF\n",
            "  15 conv    256       1 x 1/ 1     28 x  28 x 512 ->   28 x  28 x 256 0.206 BF\n",
            "  16 conv    512       3 x 3/ 1     28 x  28 x 256 ->   28 x  28 x 512 1.850 BF\n",
            "  17 max                2x 2/ 2     28 x  28 x 512 ->   14 x  14 x 512 0.000 BF\n",
            "  18 conv   1024       3 x 3/ 1     14 x  14 x 512 ->   14 x  14 x1024 1.850 BF\n",
            "  19 conv    512       1 x 1/ 1     14 x  14 x1024 ->   14 x  14 x 512 0.206 BF\n",
            "  20 conv   1024       3 x 3/ 1     14 x  14 x 512 ->   14 x  14 x1024 1.850 BF\n",
            "  21 conv    512       1 x 1/ 1     14 x  14 x1024 ->   14 x  14 x 512 0.206 BF\n",
            "  22 conv   1024       3 x 3/ 1     14 x  14 x 512 ->   14 x  14 x1024 1.850 BF\n",
            "  23 conv   1024       3 x 3/ 1     14 x  14 x1024 ->   14 x  14 x1024 3.699 BF\n",
            "  24 conv   1024       3 x 3/ 1     14 x  14 x1024 ->   14 x  14 x1024 3.699 BF\n",
            "  25 route  16 \t\t                           ->   28 x  28 x 512 \n",
            "  26 conv     64       1 x 1/ 1     28 x  28 x 512 ->   28 x  28 x  64 0.051 BF\n",
            "  27 \n",
            " reorg_old \n",
            "reorg_old              / 2    28 x  28 x  64   ->    14 x  14 x 256\n",
            "  28 route  27 24 \t                           ->   14 x  14 x1280 \n",
            "  29 conv   1024       3 x 3/ 1     14 x  14 x1280 ->   14 x  14 x1024 4.624 BF\n",
            "  30 conv     30       1 x 1/ 1     14 x  14 x1024 ->   14 x  14 x  30 0.012 BF\n",
            "  31 detection\n",
            "mask_scale: Using default '1.000000'\n",
            "Total BFLOPS 34.025 \n",
            "avg_outputs = 704399 \n",
            " Allocate additional workspace_size = 131.08 MB \n",
            "Loading weights from yolov4.conv.137...\n",
            " seen 64, trained: 0 K-images (0 Kilo-batches_64) \n",
            "Done! Loaded 29 layers from weights-file \n",
            "Learning Rate: 0.0005, Momentum: 0.9, Decay: 0.0005\n",
            " Detection layer: 31 - type = 27 \n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 672 x 672 \n",
            " Create 6 permanent cpu-threads \n",
            "Cannot load image data/obj/026-0029.jpg\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/004-0047.jpg\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/027-0023.jpg\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/058-0029.jpg\n",
            "Cannot load image data/obj/013-0021.jpg\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/003-0034.jpg\n",
            "\n",
            "Cannot load image Cannot load image  Error in load_data_detection() - OpenCV \n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/060-0038.jpg\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "data/obj/023-0049.jpg\n",
            "Cannot load image \n",
            "data/obj/043-0029.jpg Error in load_data_detection() - OpenCV \n",
            "\n",
            "Cannot load image data/obj/020-0037.jpg\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/055-0034.jpg\n",
            " Error in load_data_detection() - OpenCV \n",
            "data/obj/035-0027.jpg\n",
            "Cannot load image data/obj/051-0042.jpg\n",
            "\n",
            "Cannot load image  Error in load_data_detection() - OpenCV \n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "\n",
            "data/obj/038-0038.jpg\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/041-0055.jpg\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/043-0049.jpg\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/035-0019.jpg\n",
            "\n",
            "Cannot load image  Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/030-0038.jpg\n",
            "\n",
            "data/obj/032-0049.jpg Error in load_data_detection() - OpenCV \n",
            "\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/005-0040.jpg\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/048-0051.jpg\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/060-0038.jpg\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/010-0036.jpg\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/029-0043.jpg\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/008-0060.jpg\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/004-0048.jpg\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/006-0005.jpg\n",
            "\n",
            "Cannot load image  Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/033-0037.jpg\n",
            "\n",
            "data/obj/008-0058.jpg Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/059-0022.jpg\n",
            "\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/013-0030.jpg\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/035-0019.jpg\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000042 seconds\n",
            "Cannot load image data/obj/014-0038.jpg\n",
            "\n",
            "Cannot load image Cannot load image Cannot load image Cannot load image Cannot load image  Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/028-0027.jpg\n",
            "\n",
            "data/obj/019-0032.jpgdata/obj/045-0050.jpgdata/obj/034-0029.jpgdata/obj/054-0039.jpgdata/obj/038-0036.jpg Error in load_data_detection() - OpenCV \n",
            "\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/027-0023.jpg\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image \n",
            " Error in load_data_detection() - OpenCV \n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "data/obj/043-0041.jpg\n",
            "\n",
            "Cannot load image Cannot load image Cannot load image Cannot load image  Error in load_data_detection() - OpenCV \n",
            "data/obj/034-0029.jpg\n",
            "\n",
            "data/obj/045-0050.jpgdata/obj/020-0043.jpgdata/obj/041-0055.jpg Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/030-0038.jpg\n",
            "\n",
            "\n",
            "\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image \n",
            " Error in load_data_detection() - OpenCV \n",
            "data/obj/008-0058.jpg\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n",
            "Cannot load image data/obj/011-0034.jpg\n",
            "\n",
            " Error in load_data_detection() - OpenCV \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pb-9WKZLuJ-K"
      },
      "source": [
        "#To check a chart of model performance use\n",
        "imShow('chart.png')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pjhF_zhTuVcW",
        "outputId": "702b352a-35ed-43fb-b708-3c0330caff21"
      },
      "source": [
        "#If training halts use the following to resume\n",
        "!./darknet detector train data/obj.data cfg/yolov4Custom.cfg /content/drive/MyDrive/Yolov4/backup/yolov4Custom_last.weights -dont_show"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            " 416 x 416 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.023308 seconds\n",
            "Region Avg IOU: 0.092516, Class: 1.000000, Obj: 0.025623, No Obj: 0.002292, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.176465, Class: 1.000000, Obj: 0.018813, No Obj: 0.002393, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.262994, Class: 1.000000, Obj: 0.016560, No Obj: 0.002245, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.185130, Class: 1.000000, Obj: 0.005964, No Obj: 0.002285, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.278111, Class: 1.000000, Obj: 0.016909, No Obj: 0.002216, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.072284, Class: 1.000000, Obj: 0.020685, No Obj: 0.002372, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.102493, Class: 1.000000, Obj: 0.028620, No Obj: 0.002255, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.298139, Class: 1.000000, Obj: 0.014635, No Obj: 0.002230, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39631: 0.015142, 0.047410 avg loss, 0.000005 rate, 0.525000 seconds, 634096 images, 0.103047 hours left\n",
            "Loaded: 0.000036 seconds\n",
            "Region Avg IOU: 0.179783, Class: 1.000000, Obj: 0.003876, No Obj: 0.002315, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.132832, Class: 1.000000, Obj: 0.009113, No Obj: 0.002262, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.200246, Class: 1.000000, Obj: 0.023633, No Obj: 0.002267, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.113015, Class: 1.000000, Obj: 0.030101, No Obj: 0.002351, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.011868, Class: 1.000000, Obj: 0.029301, No Obj: 0.002213, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.273759, Class: 1.000000, Obj: 0.019079, No Obj: 0.002281, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.395133, Class: 1.000000, Obj: 0.021930, No Obj: 0.002297, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.433687, Class: 1.000000, Obj: 0.020516, No Obj: 0.002387, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39632: 0.013411, 0.044010 avg loss, 0.000005 rate, 0.587644 seconds, 634112 images, 0.102579 hours left\n",
            "Loaded: 0.000053 seconds\n",
            "Region Avg IOU: 0.337887, Class: 1.000000, Obj: 0.011807, No Obj: 0.002283, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.510573, Class: 1.000000, Obj: 0.007954, No Obj: 0.002297, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.112666, Class: 1.000000, Obj: 0.019380, No Obj: 0.002365, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.257041, Class: 1.000000, Obj: 0.018084, No Obj: 0.002284, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.101881, Class: 1.000000, Obj: 0.023486, No Obj: 0.002294, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.425162, Class: 1.000000, Obj: 0.009549, No Obj: 0.002333, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.213282, Class: 1.000000, Obj: 0.024061, No Obj: 0.002279, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.373954, Class: 1.000000, Obj: 0.015710, No Obj: 0.002365, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39633: 0.015094, 0.041119 avg loss, 0.000005 rate, 0.582262 seconds, 634128 images, 0.102154 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.077349, Class: 1.000000, Obj: 0.012461, No Obj: 0.002355, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.045028, Class: 1.000000, Obj: 0.012915, No Obj: 0.002264, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.084754, Class: 1.000000, Obj: 0.013126, No Obj: 0.002335, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.034412, Class: 1.000000, Obj: 0.007807, No Obj: 0.002333, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.416429, Class: 1.000000, Obj: 0.009649, No Obj: 0.002335, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.315691, Class: 1.000000, Obj: 0.021833, No Obj: 0.002314, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.235511, Class: 1.000000, Obj: 0.005047, No Obj: 0.002341, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.179413, Class: 1.000000, Obj: 0.029214, No Obj: 0.002298, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39634: 0.029047, 0.039911 avg loss, 0.000005 rate, 0.585249 seconds, 634144 images, 0.101726 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.250830, Class: 1.000000, Obj: 0.013273, No Obj: 0.002349, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.111283, Class: 1.000000, Obj: 0.020024, No Obj: 0.002386, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.498515, Class: 1.000000, Obj: 0.013331, No Obj: 0.002258, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.237598, Class: 1.000000, Obj: 0.023002, No Obj: 0.002298, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.477920, Class: 1.000000, Obj: 0.024178, No Obj: 0.002249, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.171501, Class: 1.000000, Obj: 0.022645, No Obj: 0.002267, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.077053, Class: 1.000000, Obj: 0.020269, No Obj: 0.002291, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.111920, Class: 1.000000, Obj: 0.023340, No Obj: 0.002259, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39635: 0.014530, 0.037373 avg loss, 0.000005 rate, 0.586024 seconds, 634160 images, 0.101303 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.153661, Class: 1.000000, Obj: 0.013812, No Obj: 0.002332, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.237770, Class: 1.000000, Obj: 0.016684, No Obj: 0.002236, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.328276, Class: 1.000000, Obj: 0.026597, No Obj: 0.002282, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.129743, Class: 1.000000, Obj: 0.018773, No Obj: 0.002415, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.058268, Class: 1.000000, Obj: 0.011636, No Obj: 0.002190, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.142089, Class: 1.000000, Obj: 0.015489, No Obj: 0.002251, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.272807, Class: 1.000000, Obj: 0.018821, No Obj: 0.002253, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.203817, Class: 1.000000, Obj: 0.024281, No Obj: 0.002267, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39636: 0.024777, 0.036114 avg loss, 0.000005 rate, 0.586532 seconds, 634176 images, 0.100885 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.110263, Class: 1.000000, Obj: 0.011641, No Obj: 0.002254, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.198879, Class: 1.000000, Obj: 0.009976, No Obj: 0.002244, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.123468, Class: 1.000000, Obj: 0.010440, No Obj: 0.002217, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.072375, Class: 1.000000, Obj: 0.010190, No Obj: 0.002242, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.289785, Class: 1.000000, Obj: 0.016345, No Obj: 0.002273, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.335903, Class: 1.000000, Obj: 0.010756, No Obj: 0.002295, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.168637, Class: 1.000000, Obj: 0.009071, No Obj: 0.002227, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.043691, Class: 1.000000, Obj: 0.012729, No Obj: 0.002280, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39637: 0.032883, 0.035791 avg loss, 0.000005 rate, 0.582679 seconds, 634192 images, 0.100469 hours left\n",
            "Loaded: 0.000046 seconds\n",
            "Region Avg IOU: 0.411011, Class: 1.000000, Obj: 0.006668, No Obj: 0.002312, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.240300, Class: 1.000000, Obj: 0.005986, No Obj: 0.002240, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.011952, Class: 1.000000, Obj: 0.023091, No Obj: 0.002330, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.336430, Class: 1.000000, Obj: 0.035467, No Obj: 0.002372, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.202423, Class: 1.000000, Obj: 0.020682, No Obj: 0.002183, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.130347, Class: 1.000000, Obj: 0.018410, No Obj: 0.002272, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.228949, Class: 1.000000, Obj: 0.016520, No Obj: 0.002289, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.700720, Class: 1.000000, Obj: 0.016799, No Obj: 0.002320, Avg Recall: 1.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39638: 0.041199, 0.036331 avg loss, 0.000005 rate, 0.583010 seconds, 634208 images, 0.100052 hours left\n",
            "Loaded: 0.000060 seconds\n",
            "Region Avg IOU: 0.153857, Class: 1.000000, Obj: 0.014824, No Obj: 0.002336, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.038483, Class: 1.000000, Obj: 0.007747, No Obj: 0.002310, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.241090, Class: 1.000000, Obj: 0.019290, No Obj: 0.002373, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.292543, Class: 1.000000, Obj: 0.018153, No Obj: 0.002346, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.167941, Class: 1.000000, Obj: 0.014103, No Obj: 0.002342, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.017195, Class: 1.000000, Obj: 0.025738, No Obj: 0.002202, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.255197, Class: 1.000000, Obj: 0.021239, No Obj: 0.002309, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.155565, Class: 1.000000, Obj: 0.012118, No Obj: 0.002390, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39639: 0.182537, 0.050952 avg loss, 0.000005 rate, 0.589237 seconds, 634224 images, 0.099638 hours left\n",
            "Loaded: 0.000050 seconds\n",
            "Region Avg IOU: 0.165223, Class: 1.000000, Obj: 0.022077, No Obj: 0.002207, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.085733, Class: 1.000000, Obj: 0.015988, No Obj: 0.002276, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.067694, Class: 1.000000, Obj: 0.014717, No Obj: 0.002210, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.082494, Class: 1.000000, Obj: 0.025320, No Obj: 0.002351, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.226005, Class: 1.000000, Obj: 0.011707, No Obj: 0.002366, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.174439, Class: 1.000000, Obj: 0.010561, No Obj: 0.002264, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.061528, Class: 1.000000, Obj: 0.024316, No Obj: 0.002276, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.076145, Class: 1.000000, Obj: 0.031535, No Obj: 0.002366, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39640: 0.019094, 0.047766 avg loss, 0.000005 rate, 0.584962 seconds, 634240 images, 0.099232 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 608 x 608 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000067 seconds\n",
            "Region Avg IOU: 0.400215, Class: 1.000000, Obj: 0.015632, No Obj: 0.002257, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.471492, Class: 1.000000, Obj: 0.014237, No Obj: 0.002261, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.123854, Class: 1.000000, Obj: 0.014164, No Obj: 0.002333, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.187022, Class: 1.000000, Obj: 0.023354, No Obj: 0.002323, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.473131, Class: 1.000000, Obj: 0.011526, No Obj: 0.002257, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.293003, Class: 1.000000, Obj: 0.012415, No Obj: 0.002276, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.335891, Class: 1.000000, Obj: 0.011551, No Obj: 0.002305, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.448002, Class: 1.000000, Obj: 0.023984, No Obj: 0.002295, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39641: 0.025638, 0.045553 avg loss, 0.000005 rate, 1.077636 seconds, 634256 images, 0.098825 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.476624, Class: 1.000000, Obj: 0.011431, No Obj: 0.002251, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.284244, Class: 1.000000, Obj: 0.009838, No Obj: 0.002256, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.304744, Class: 1.000000, Obj: 0.024402, No Obj: 0.002265, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.380091, Class: 1.000000, Obj: 0.016346, No Obj: 0.002325, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.192305, Class: 1.000000, Obj: 0.014149, No Obj: 0.002286, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.473367, Class: 1.000000, Obj: 0.028077, No Obj: 0.002317, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.193440, Class: 1.000000, Obj: 0.015806, No Obj: 0.002322, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.399561, Class: 1.000000, Obj: 0.007975, No Obj: 0.002379, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39642: 0.023135, 0.043312 avg loss, 0.000005 rate, 1.179730 seconds, 634272 images, 0.098911 hours left\n",
            "Loaded: 0.000049 seconds\n",
            "Region Avg IOU: 0.252320, Class: 1.000000, Obj: 0.011452, No Obj: 0.002336, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.214549, Class: 1.000000, Obj: 0.016413, No Obj: 0.002350, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.266383, Class: 1.000000, Obj: 0.020572, No Obj: 0.002351, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.651976, Class: 1.000000, Obj: 0.025172, No Obj: 0.002360, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.360579, Class: 1.000000, Obj: 0.026031, No Obj: 0.002392, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.180976, Class: 1.000000, Obj: 0.030025, No Obj: 0.002301, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.392154, Class: 1.000000, Obj: 0.015013, No Obj: 0.002315, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.274391, Class: 1.000000, Obj: 0.034823, No Obj: 0.002348, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39643: 0.040062, 0.042987 avg loss, 0.000005 rate, 1.173634 seconds, 634288 images, 0.099095 hours left\n",
            "Loaded: 0.000043 seconds\n",
            "Region Avg IOU: 0.240631, Class: 1.000000, Obj: 0.009072, No Obj: 0.002252, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.284263, Class: 1.000000, Obj: 0.018471, No Obj: 0.002337, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.246583, Class: 1.000000, Obj: 0.026218, No Obj: 0.002417, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.205791, Class: 1.000000, Obj: 0.012753, No Obj: 0.002215, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.296622, Class: 1.000000, Obj: 0.028113, No Obj: 0.002371, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.152453, Class: 1.000000, Obj: 0.028735, No Obj: 0.002308, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.162154, Class: 1.000000, Obj: 0.016133, No Obj: 0.002286, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.272971, Class: 1.000000, Obj: 0.033920, No Obj: 0.002456, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39644: 0.033111, 0.041999 avg loss, 0.000005 rate, 1.179253 seconds, 634304 images, 0.099268 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.382568, Class: 1.000000, Obj: 0.010969, No Obj: 0.002246, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.174070, Class: 1.000000, Obj: 0.015841, No Obj: 0.002364, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.382825, Class: 1.000000, Obj: 0.012232, No Obj: 0.002384, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.337905, Class: 1.000000, Obj: 0.017521, No Obj: 0.002259, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.348209, Class: 1.000000, Obj: 0.010117, No Obj: 0.002331, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.565608, Class: 1.000000, Obj: 0.019447, No Obj: 0.002273, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.148662, Class: 1.000000, Obj: 0.014719, No Obj: 0.002289, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.469529, Class: 1.000000, Obj: 0.028184, No Obj: 0.002436, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39645: 0.020026, 0.039802 avg loss, 0.000005 rate, 1.175359 seconds, 634320 images, 0.099442 hours left\n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.278627, Class: 1.000000, Obj: 0.010171, No Obj: 0.002313, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.182980, Class: 1.000000, Obj: 0.015271, No Obj: 0.002244, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.168509, Class: 1.000000, Obj: 0.007618, No Obj: 0.002319, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.348828, Class: 1.000000, Obj: 0.022290, No Obj: 0.002307, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.362358, Class: 1.000000, Obj: 0.016091, No Obj: 0.002336, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.221089, Class: 1.000000, Obj: 0.013869, No Obj: 0.002314, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.331846, Class: 1.000000, Obj: 0.018063, No Obj: 0.002225, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.878525, Class: 1.000000, Obj: 0.009499, No Obj: 0.002236, Avg Recall: 1.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39646: 0.019622, 0.037784 avg loss, 0.000005 rate, 1.184368 seconds, 634336 images, 0.099607 hours left\n",
            "Loaded: 0.000053 seconds\n",
            "Region Avg IOU: 0.113870, Class: 1.000000, Obj: 0.016935, No Obj: 0.002367, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.530990, Class: 1.000000, Obj: 0.017255, No Obj: 0.002246, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.308133, Class: 1.000000, Obj: 0.011300, No Obj: 0.002334, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.186569, Class: 1.000000, Obj: 0.017589, No Obj: 0.002310, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.524010, Class: 1.000000, Obj: 0.028723, No Obj: 0.002331, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.435634, Class: 1.000000, Obj: 0.008951, No Obj: 0.002303, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.246927, Class: 1.000000, Obj: 0.032692, No Obj: 0.002353, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.364430, Class: 1.000000, Obj: 0.024323, No Obj: 0.002307, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39647: 0.034578, 0.037463 avg loss, 0.000005 rate, 1.172033 seconds, 634352 images, 0.099775 hours left\n",
            "Loaded: 0.000055 seconds\n",
            "Region Avg IOU: 0.371335, Class: 1.000000, Obj: 0.026627, No Obj: 0.002329, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.396194, Class: 1.000000, Obj: 0.035796, No Obj: 0.002394, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.406328, Class: 1.000000, Obj: 0.028746, No Obj: 0.002341, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.360964, Class: 1.000000, Obj: 0.007487, No Obj: 0.002197, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.264210, Class: 1.000000, Obj: 0.020785, No Obj: 0.002265, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.202814, Class: 1.000000, Obj: 0.016838, No Obj: 0.002360, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.259054, Class: 1.000000, Obj: 0.016032, No Obj: 0.002258, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.436693, Class: 1.000000, Obj: 0.016343, No Obj: 0.002313, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39648: 0.025213, 0.036238 avg loss, 0.000005 rate, 1.181311 seconds, 634368 images, 0.099927 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.203206, Class: 1.000000, Obj: 0.020528, No Obj: 0.002338, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.191731, Class: 1.000000, Obj: 0.030550, No Obj: 0.002297, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.355834, Class: 1.000000, Obj: 0.019214, No Obj: 0.002284, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.324969, Class: 1.000000, Obj: 0.022154, No Obj: 0.002314, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.279741, Class: 1.000000, Obj: 0.009760, No Obj: 0.002277, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.244887, Class: 1.000000, Obj: 0.014879, No Obj: 0.002348, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.500197, Class: 1.000000, Obj: 0.014950, No Obj: 0.002263, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.312121, Class: 1.000000, Obj: 0.014896, No Obj: 0.002354, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39649: 0.062011, 0.038815 avg loss, 0.000005 rate, 1.170536 seconds, 634384 images, 0.100083 hours left\n",
            "Loaded: 0.000053 seconds\n",
            "Region Avg IOU: 0.401174, Class: 1.000000, Obj: 0.013808, No Obj: 0.002270, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.261692, Class: 1.000000, Obj: 0.018103, No Obj: 0.002308, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.341920, Class: 1.000000, Obj: 0.022653, No Obj: 0.002348, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.362331, Class: 1.000000, Obj: 0.030868, No Obj: 0.002322, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.171049, Class: 1.000000, Obj: 0.008481, No Obj: 0.002330, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.330011, Class: 1.000000, Obj: 0.029894, No Obj: 0.002387, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.289084, Class: 1.000000, Obj: 0.016455, No Obj: 0.002303, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.440529, Class: 1.000000, Obj: 0.009074, No Obj: 0.002301, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39650: 0.029588, 0.037893 avg loss, 0.000005 rate, 1.180506 seconds, 634400 images, 0.100223 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 416 x 416 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000054 seconds\n",
            "Region Avg IOU: 0.089932, Class: 1.000000, Obj: 0.015680, No Obj: 0.002252, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.115522, Class: 1.000000, Obj: 0.010585, No Obj: 0.002310, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.083751, Class: 1.000000, Obj: 0.017351, No Obj: 0.002339, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.010671, No Obj: 0.002248, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.145379, Class: 1.000000, Obj: 0.023144, No Obj: 0.002303, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.236717, Class: 1.000000, Obj: 0.014199, No Obj: 0.002275, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.253482, Class: 1.000000, Obj: 0.006739, No Obj: 0.002323, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.087648, Class: 1.000000, Obj: 0.015040, No Obj: 0.002193, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39651: 0.332960, 0.067399 avg loss, 0.000005 rate, 0.529119 seconds, 634416 images, 0.100369 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.489354, Class: 1.000000, Obj: 0.028824, No Obj: 0.002281, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.429156, Class: 1.000000, Obj: 0.012335, No Obj: 0.002360, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.378306, Class: 1.000000, Obj: 0.007948, No Obj: 0.002379, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.106000, Class: 1.000000, Obj: 0.018750, No Obj: 0.002334, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.272012, Class: 1.000000, Obj: 0.009889, No Obj: 0.002335, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.057580, Class: 1.000000, Obj: 0.020842, No Obj: 0.002325, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.107977, Class: 1.000000, Obj: 0.018762, No Obj: 0.002306, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.202380, Class: 1.000000, Obj: 0.012111, No Obj: 0.002310, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39652: 0.225835, 0.083243 avg loss, 0.000005 rate, 0.589221 seconds, 634432 images, 0.099878 hours left\n",
            "Loaded: 0.000043 seconds\n",
            "Region Avg IOU: 0.284114, Class: 1.000000, Obj: 0.019809, No Obj: 0.002247, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.033898, Class: 1.000000, Obj: 0.010263, No Obj: 0.002274, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.048262, Class: 1.000000, Obj: 0.007611, No Obj: 0.002374, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.181790, Class: 1.000000, Obj: 0.013272, No Obj: 0.002293, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.270729, Class: 1.000000, Obj: 0.016208, No Obj: 0.002296, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.098330, Class: 1.000000, Obj: 0.020152, No Obj: 0.002357, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.204822, Class: 1.000000, Obj: 0.022801, No Obj: 0.002301, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.050170, Class: 1.000000, Obj: 0.017270, No Obj: 0.002372, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39653: 0.052553, 0.080174 avg loss, 0.000005 rate, 0.582559 seconds, 634448 images, 0.099449 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.164721, Class: 1.000000, Obj: 0.002523, No Obj: 0.002320, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.102711, Class: 1.000000, Obj: 0.012919, No Obj: 0.002315, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.389359, Class: 1.000000, Obj: 0.030498, No Obj: 0.002389, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.067942, Class: 1.000000, Obj: 0.012112, No Obj: 0.002251, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.171369, Class: 1.000000, Obj: 0.008852, No Obj: 0.002354, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.149569, Class: 1.000000, Obj: 0.009584, No Obj: 0.002303, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.302079, Class: 1.000000, Obj: 0.011026, No Obj: 0.002238, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.245679, Class: 1.000000, Obj: 0.013960, No Obj: 0.002250, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39654: 0.023624, 0.074519 avg loss, 0.000005 rate, 0.586488 seconds, 634464 images, 0.099016 hours left\n",
            "Loaded: 0.000032 seconds\n",
            "Region Avg IOU: 0.128061, Class: 1.000000, Obj: 0.017190, No Obj: 0.002338, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.210970, Class: 1.000000, Obj: 0.027126, No Obj: 0.002350, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.027285, Class: 1.000000, Obj: 0.018676, No Obj: 0.002313, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.386911, Class: 1.000000, Obj: 0.015932, No Obj: 0.002223, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.154285, Class: 1.000000, Obj: 0.009768, No Obj: 0.002300, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.233490, Class: 1.000000, Obj: 0.010124, No Obj: 0.002365, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.354999, Class: 1.000000, Obj: 0.039008, No Obj: 0.002442, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.130560, Class: 1.000000, Obj: 0.011393, No Obj: 0.002360, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39655: 0.031062, 0.070173 avg loss, 0.000005 rate, 0.580174 seconds, 634480 images, 0.098590 hours left\n",
            "Loaded: 0.000049 seconds\n",
            "Region Avg IOU: 0.034227, Class: 1.000000, Obj: 0.024469, No Obj: 0.002244, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.053965, Class: 1.000000, Obj: 0.016396, No Obj: 0.002261, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.256429, Class: 1.000000, Obj: 0.016556, No Obj: 0.002340, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.039439, Class: 1.000000, Obj: 0.033606, No Obj: 0.002343, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.665639, Class: 1.000000, Obj: 0.018033, No Obj: 0.002266, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.053064, Class: 1.000000, Obj: 0.016097, No Obj: 0.002339, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.069893, Class: 1.000000, Obj: 0.008231, No Obj: 0.002249, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.108602, Class: 1.000000, Obj: 0.018685, No Obj: 0.002224, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39656: 0.037929, 0.066949 avg loss, 0.000005 rate, 0.583375 seconds, 634496 images, 0.098160 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.263966, Class: 1.000000, Obj: 0.013991, No Obj: 0.002225, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.115887, Class: 1.000000, Obj: 0.018911, No Obj: 0.002260, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.172251, Class: 1.000000, Obj: 0.015890, No Obj: 0.002259, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.164709, Class: 1.000000, Obj: 0.020132, No Obj: 0.002265, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.183049, Class: 1.000000, Obj: 0.018514, No Obj: 0.002262, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.213385, Class: 1.000000, Obj: 0.011095, No Obj: 0.002302, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.024742, Class: 1.000000, Obj: 0.019655, No Obj: 0.002258, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.186692, Class: 1.000000, Obj: 0.018718, No Obj: 0.002350, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39657: 0.016539, 0.061908 avg loss, 0.000005 rate, 0.585658 seconds, 634512 images, 0.097736 hours left\n",
            "Loaded: 0.000043 seconds\n",
            "Region Avg IOU: 0.324588, Class: 1.000000, Obj: 0.008086, No Obj: 0.002365, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.118453, Class: 1.000000, Obj: 0.015838, No Obj: 0.002292, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.063632, Class: 1.000000, Obj: 0.019953, No Obj: 0.002308, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.304101, Class: 1.000000, Obj: 0.020229, No Obj: 0.002218, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.308327, Class: 1.000000, Obj: 0.010072, No Obj: 0.002313, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.302339, Class: 1.000000, Obj: 0.012107, No Obj: 0.002329, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.266615, Class: 1.000000, Obj: 0.012844, No Obj: 0.002281, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.037842, Class: 1.000000, Obj: 0.026461, No Obj: 0.002297, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39658: 0.013790, 0.057096 avg loss, 0.000005 rate, 0.583291 seconds, 634528 images, 0.097316 hours left\n",
            "Loaded: 0.000049 seconds\n",
            "Region Avg IOU: 0.269865, Class: 1.000000, Obj: 0.021181, No Obj: 0.002241, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.065461, Class: 1.000000, Obj: 0.014234, No Obj: 0.002215, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.034731, Class: 1.000000, Obj: 0.014140, No Obj: 0.002397, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.245059, Class: 1.000000, Obj: 0.004317, No Obj: 0.002272, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.159961, Class: 1.000000, Obj: 0.024059, No Obj: 0.002332, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.170807, Class: 1.000000, Obj: 0.006683, No Obj: 0.002276, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.184060, Class: 1.000000, Obj: 0.016575, No Obj: 0.002382, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.279765, Class: 1.000000, Obj: 0.014141, No Obj: 0.002351, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39659: 0.022776, 0.053664 avg loss, 0.000005 rate, 0.585453 seconds, 634544 images, 0.096897 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.082494, Class: 1.000000, Obj: 0.019332, No Obj: 0.002287, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.130055, Class: 1.000000, Obj: 0.028438, No Obj: 0.002338, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.002320, Avg Recall: -nan,  count: 0\n",
            "Region Avg IOU: 0.335056, Class: 1.000000, Obj: 0.025058, No Obj: 0.002329, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.411990, Class: 1.000000, Obj: 0.023807, No Obj: 0.002301, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.252747, Class: 1.000000, Obj: 0.012874, No Obj: 0.002348, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.072892, Class: 1.000000, Obj: 0.016328, No Obj: 0.002246, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.247475, Class: 1.000000, Obj: 0.012140, No Obj: 0.002254, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39660: 0.015628, 0.049860 avg loss, 0.000005 rate, 0.581722 seconds, 634560 images, 0.096483 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 416 x 416 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000532 seconds\n",
            "Region Avg IOU: 0.200452, Class: 1.000000, Obj: 0.033165, No Obj: 0.002245, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.459707, Class: 1.000000, Obj: 0.027827, No Obj: 0.002349, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.134719, Class: 1.000000, Obj: 0.017735, No Obj: 0.002335, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.256059, Class: 1.000000, Obj: 0.019485, No Obj: 0.002263, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.345424, Class: 1.000000, Obj: 0.010990, No Obj: 0.002324, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.128915, Class: 1.000000, Obj: 0.019737, No Obj: 0.002325, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.148701, Class: 1.000000, Obj: 0.015672, No Obj: 0.002303, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.032191, Class: 1.000000, Obj: 0.023502, No Obj: 0.002268, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39661: 0.049571, 0.049831 avg loss, 0.000005 rate, 0.538498 seconds, 634576 images, 0.096068 hours left\n",
            "Loaded: 0.000057 seconds\n",
            "Region Avg IOU: 0.209344, Class: 1.000000, Obj: 0.010688, No Obj: 0.002316, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.086380, Class: 1.000000, Obj: 0.004596, No Obj: 0.002374, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.259465, Class: 1.000000, Obj: 0.024654, No Obj: 0.002365, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.132504, Class: 1.000000, Obj: 0.014488, No Obj: 0.002284, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.131373, Class: 1.000000, Obj: 0.019510, No Obj: 0.002258, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.072826, Class: 1.000000, Obj: 0.016286, No Obj: 0.002365, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.125594, Class: 1.000000, Obj: 0.015963, No Obj: 0.002268, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.425190, Class: 1.000000, Obj: 0.014293, No Obj: 0.002259, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39662: 0.039949, 0.048843 avg loss, 0.000005 rate, 0.585127 seconds, 634592 images, 0.095614 hours left\n",
            "Loaded: 0.000056 seconds\n",
            "Region Avg IOU: 0.411058, Class: 1.000000, Obj: 0.010928, No Obj: 0.002368, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.062991, Class: 1.000000, Obj: 0.029562, No Obj: 0.002372, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.157195, Class: 1.000000, Obj: 0.008505, No Obj: 0.002240, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.172819, Class: 1.000000, Obj: 0.037173, No Obj: 0.002395, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.108427, Class: 1.000000, Obj: 0.006386, No Obj: 0.002306, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.108212, Class: 1.000000, Obj: 0.011292, No Obj: 0.002219, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.139688, Class: 1.000000, Obj: 0.019262, No Obj: 0.002346, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.276574, Class: 1.000000, Obj: 0.014419, No Obj: 0.002207, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39663: 0.019958, 0.045955 avg loss, 0.000005 rate, 0.582330 seconds, 634608 images, 0.095208 hours left\n",
            "Loaded: 0.000043 seconds\n",
            "Region Avg IOU: 0.048815, Class: 1.000000, Obj: 0.016255, No Obj: 0.002315, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.107170, Class: 1.000000, Obj: 0.005763, No Obj: 0.002217, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.048411, Class: 1.000000, Obj: 0.020631, No Obj: 0.002336, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.038729, Class: 1.000000, Obj: 0.014572, No Obj: 0.002263, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.058275, Class: 1.000000, Obj: 0.018343, No Obj: 0.002319, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.203781, Class: 1.000000, Obj: 0.014228, No Obj: 0.002342, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.075377, Class: 1.000000, Obj: 0.028587, No Obj: 0.002342, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.444055, Class: 1.000000, Obj: 0.018194, No Obj: 0.002278, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39664: 0.086749, 0.050034 avg loss, 0.000005 rate, 0.585537 seconds, 634624 images, 0.094801 hours left\n",
            "Loaded: 0.000050 seconds\n",
            "Region Avg IOU: 0.057613, Class: 1.000000, Obj: 0.025153, No Obj: 0.002281, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.278302, Class: 1.000000, Obj: 0.019171, No Obj: 0.002320, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.241576, Class: 1.000000, Obj: 0.027907, No Obj: 0.002420, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.178911, Class: 1.000000, Obj: 0.006345, No Obj: 0.002275, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.025033, Class: 1.000000, Obj: 0.026299, No Obj: 0.002315, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.082990, Class: 1.000000, Obj: 0.024111, No Obj: 0.002354, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.521242, Class: 1.000000, Obj: 0.011283, No Obj: 0.002256, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.053467, Class: 1.000000, Obj: 0.018703, No Obj: 0.002348, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39665: 0.027529, 0.047784 avg loss, 0.000005 rate, 0.589588 seconds, 634640 images, 0.094399 hours left\n",
            "Loaded: 0.000038 seconds\n",
            "Region Avg IOU: 0.071334, Class: 1.000000, Obj: 0.022313, No Obj: 0.002308, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.006921, Class: 1.000000, Obj: 0.016662, No Obj: 0.002248, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.381965, Class: 1.000000, Obj: 0.014537, No Obj: 0.002344, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.023174, No Obj: 0.002276, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.258726, Class: 1.000000, Obj: 0.028735, No Obj: 0.002326, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.125333, Class: 1.000000, Obj: 0.025527, No Obj: 0.002427, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.186385, Class: 1.000000, Obj: 0.010482, No Obj: 0.002352, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.202656, Class: 1.000000, Obj: 0.007975, No Obj: 0.002373, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39666: 0.204578, 0.063463 avg loss, 0.000005 rate, 0.580172 seconds, 634656 images, 0.094004 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.099388, Class: 1.000000, Obj: 0.007107, No Obj: 0.002351, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.147051, Class: 1.000000, Obj: 0.006770, No Obj: 0.002316, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.325433, Class: 1.000000, Obj: 0.017630, No Obj: 0.002254, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.178940, Class: 1.000000, Obj: 0.042538, No Obj: 0.002419, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.012816, Class: 1.000000, Obj: 0.017021, No Obj: 0.002314, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.186414, Class: 1.000000, Obj: 0.013318, No Obj: 0.002374, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.375430, Class: 1.000000, Obj: 0.008238, No Obj: 0.002367, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.427331, Class: 1.000000, Obj: 0.034761, No Obj: 0.002375, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39667: 0.022960, 0.059413 avg loss, 0.000005 rate, 0.585424 seconds, 634672 images, 0.093602 hours left\n",
            "Loaded: 0.000051 seconds\n",
            "Region Avg IOU: 0.089888, Class: 1.000000, Obj: 0.013264, No Obj: 0.002225, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.092466, Class: 1.000000, Obj: 0.028102, No Obj: 0.002372, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.531220, Class: 1.000000, Obj: 0.007087, No Obj: 0.002355, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.026276, No Obj: 0.002212, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.031714, Class: 1.000000, Obj: 0.017543, No Obj: 0.002360, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.139416, Class: 1.000000, Obj: 0.020149, No Obj: 0.002272, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.390571, Class: 1.000000, Obj: 0.022315, No Obj: 0.002385, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.498613, Class: 1.000000, Obj: 0.025696, No Obj: 0.002372, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39668: 0.018946, 0.055366 avg loss, 0.000005 rate, 0.583444 seconds, 634688 images, 0.093208 hours left\n",
            "Loaded: 0.000059 seconds\n",
            "Region Avg IOU: 0.146262, Class: 1.000000, Obj: 0.011689, No Obj: 0.002404, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.091118, Class: 1.000000, Obj: 0.024556, No Obj: 0.002322, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.371755, Class: 1.000000, Obj: 0.010447, No Obj: 0.002308, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.361276, Class: 1.000000, Obj: 0.013141, No Obj: 0.002234, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.155827, Class: 1.000000, Obj: 0.024790, No Obj: 0.002249, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.331134, Class: 1.000000, Obj: 0.012224, No Obj: 0.002254, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.133498, Class: 1.000000, Obj: 0.013025, No Obj: 0.002318, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.252642, Class: 1.000000, Obj: 0.026405, No Obj: 0.002327, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39669: 0.024380, 0.052267 avg loss, 0.000005 rate, 0.581098 seconds, 634704 images, 0.092814 hours left\n",
            "Loaded: 0.000051 seconds\n",
            "Region Avg IOU: 0.018575, Class: 1.000000, Obj: 0.014595, No Obj: 0.002277, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.163198, Class: 1.000000, Obj: 0.022750, No Obj: 0.002319, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.269966, Class: 1.000000, Obj: 0.024446, No Obj: 0.002305, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.009435, Class: 1.000000, Obj: 0.015766, No Obj: 0.002271, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.176716, Class: 1.000000, Obj: 0.027999, No Obj: 0.002421, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.177315, Class: 1.000000, Obj: 0.011364, No Obj: 0.002363, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.305083, Class: 1.000000, Obj: 0.018728, No Obj: 0.002224, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.580703, Class: 1.000000, Obj: 0.014059, No Obj: 0.002204, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39670: 0.021170, 0.049158 avg loss, 0.000005 rate, 0.583745 seconds, 634720 images, 0.092420 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 384 x 384 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.007682 seconds\n",
            "Region Avg IOU: 0.395882, Class: 1.000000, Obj: 0.014601, No Obj: 0.002240, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.670014, Class: 1.000000, Obj: 0.010312, No Obj: 0.002278, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.135568, Class: 1.000000, Obj: 0.015672, No Obj: 0.002228, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.102786, Class: 1.000000, Obj: 0.018850, No Obj: 0.002219, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.011393, Class: 1.000000, Obj: 0.014070, No Obj: 0.002211, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.135794, Class: 1.000000, Obj: 0.009845, No Obj: 0.002266, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.136594, Class: 1.000000, Obj: 0.022599, No Obj: 0.002247, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.147906, Class: 1.000000, Obj: 0.015673, No Obj: 0.002213, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39671: 0.027410, 0.046983 avg loss, 0.000005 rate, 0.464989 seconds, 634736 images, 0.092031 hours left\n",
            "Loaded: 0.000051 seconds\n",
            "Region Avg IOU: 0.054996, Class: 1.000000, Obj: 0.003796, No Obj: 0.002276, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.273889, Class: 1.000000, Obj: 0.013231, No Obj: 0.002346, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.157157, Class: 1.000000, Obj: 0.022461, No Obj: 0.002295, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.238386, Class: 1.000000, Obj: 0.011024, No Obj: 0.002288, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.028007, Class: 1.000000, Obj: 0.024550, No Obj: 0.002239, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.066725, Class: 1.000000, Obj: 0.014333, No Obj: 0.002247, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.036631, Class: 1.000000, Obj: 0.010425, No Obj: 0.002192, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.025095, Class: 1.000000, Obj: 0.023856, No Obj: 0.002223, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39672: 0.020767, 0.044361 avg loss, 0.000005 rate, 0.525181 seconds, 634752 images, 0.091543 hours left\n",
            "Loaded: 0.000056 seconds\n",
            "Region Avg IOU: 0.303555, Class: 1.000000, Obj: 0.028476, No Obj: 0.002287, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.087318, Class: 1.000000, Obj: 0.016229, No Obj: 0.002268, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.031703, Class: 1.000000, Obj: 0.016279, No Obj: 0.002262, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.083142, Class: 1.000000, Obj: 0.017188, No Obj: 0.002271, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.235900, Class: 1.000000, Obj: 0.016281, No Obj: 0.002227, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.166594, Class: 1.000000, Obj: 0.020783, No Obj: 0.002233, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.272133, Class: 1.000000, Obj: 0.017876, No Obj: 0.002233, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.171102, Class: 1.000000, Obj: 0.016440, No Obj: 0.002287, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39673: 0.084147, 0.048340 avg loss, 0.000005 rate, 0.517457 seconds, 634768 images, 0.091106 hours left\n",
            "Loaded: 0.000051 seconds\n",
            "Region Avg IOU: 0.124501, Class: 1.000000, Obj: 0.012528, No Obj: 0.002253, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.066367, Class: 1.000000, Obj: 0.018122, No Obj: 0.002239, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.057879, Class: 1.000000, Obj: 0.036139, No Obj: 0.002260, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.227138, Class: 1.000000, Obj: 0.017126, No Obj: 0.002302, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.238773, Class: 1.000000, Obj: 0.014108, No Obj: 0.002256, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.051856, Class: 1.000000, Obj: 0.011911, No Obj: 0.002329, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.148042, Class: 1.000000, Obj: 0.019159, No Obj: 0.002311, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.278311, Class: 1.000000, Obj: 0.006646, No Obj: 0.002229, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39674: 0.019756, 0.045482 avg loss, 0.000005 rate, 0.518177 seconds, 634784 images, 0.090665 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.307460, Class: 1.000000, Obj: 0.007975, No Obj: 0.002243, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.199481, Class: 1.000000, Obj: 0.014409, No Obj: 0.002270, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.096021, Class: 1.000000, Obj: 0.010618, No Obj: 0.002218, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.203252, Class: 1.000000, Obj: 0.023037, No Obj: 0.002155, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.247833, Class: 1.000000, Obj: 0.013348, No Obj: 0.002184, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.243184, Class: 1.000000, Obj: 0.010081, No Obj: 0.002186, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.283446, Class: 1.000000, Obj: 0.013491, No Obj: 0.002306, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.116945, Class: 1.000000, Obj: 0.019444, No Obj: 0.002289, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39675: 0.017779, 0.042711 avg loss, 0.000005 rate, 0.515073 seconds, 634800 images, 0.090228 hours left\n",
            "Loaded: 0.000046 seconds\n",
            "Region Avg IOU: 0.337840, Class: 1.000000, Obj: 0.018342, No Obj: 0.002200, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.165730, Class: 1.000000, Obj: 0.009473, No Obj: 0.002292, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.081004, Class: 1.000000, Obj: 0.017113, No Obj: 0.002212, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.180931, Class: 1.000000, Obj: 0.022151, No Obj: 0.002304, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.139625, Class: 1.000000, Obj: 0.014560, No Obj: 0.002227, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.235073, Class: 1.000000, Obj: 0.013237, No Obj: 0.002196, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.002585, Class: 1.000000, Obj: 0.021412, No Obj: 0.002265, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.021856, No Obj: 0.002290, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39676: 0.016887, 0.040129 avg loss, 0.000005 rate, 0.518856 seconds, 634816 images, 0.089790 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.117406, Class: 1.000000, Obj: 0.010121, No Obj: 0.002192, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.273168, Class: 1.000000, Obj: 0.020262, No Obj: 0.002202, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.124472, Class: 1.000000, Obj: 0.011281, No Obj: 0.002278, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.001721, Class: 1.000000, Obj: 0.014190, No Obj: 0.002275, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.234322, Class: 1.000000, Obj: 0.006620, No Obj: 0.002231, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.014723, No Obj: 0.002248, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.483426, Class: 1.000000, Obj: 0.020960, No Obj: 0.002250, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.005459, Class: 1.000000, Obj: 0.015626, No Obj: 0.002209, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39677: 0.034161, 0.039532 avg loss, 0.000005 rate, 0.519576 seconds, 634832 images, 0.089360 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.441584, Class: 1.000000, Obj: 0.018324, No Obj: 0.002280, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.015645, No Obj: 0.002242, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.109113, Class: 1.000000, Obj: 0.004937, No Obj: 0.002227, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.008098, Class: 1.000000, Obj: 0.012273, No Obj: 0.002234, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.002350, Avg Recall: -nan,  count: 0\n",
            "Region Avg IOU: 0.194378, Class: 1.000000, Obj: 0.016577, No Obj: 0.002230, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.114822, Class: 1.000000, Obj: 0.013117, No Obj: 0.002335, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.435914, Class: 1.000000, Obj: 0.012067, No Obj: 0.002214, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39678: 0.022166, 0.037796 avg loss, 0.000005 rate, 0.521112 seconds, 634848 images, 0.088932 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.087443, Class: 1.000000, Obj: 0.013151, No Obj: 0.002224, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.041146, Class: 1.000000, Obj: 0.020229, No Obj: 0.002208, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.133139, Class: 1.000000, Obj: 0.028906, No Obj: 0.002240, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.255223, Class: 1.000000, Obj: 0.018941, No Obj: 0.002242, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.254880, Class: 1.000000, Obj: 0.019895, No Obj: 0.002241, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.082022, Class: 1.000000, Obj: 0.012907, No Obj: 0.002338, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.319650, Class: 1.000000, Obj: 0.009145, No Obj: 0.002253, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.020041, No Obj: 0.002270, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39679: 0.022617, 0.036278 avg loss, 0.000005 rate, 0.519756 seconds, 634864 images, 0.088509 hours left\n",
            "Loaded: 0.000050 seconds\n",
            "Region Avg IOU: 0.130809, Class: 1.000000, Obj: 0.016792, No Obj: 0.002271, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.560647, Class: 1.000000, Obj: 0.011508, No Obj: 0.002264, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.049053, Class: 1.000000, Obj: 0.015645, No Obj: 0.002250, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.156069, Class: 1.000000, Obj: 0.034400, No Obj: 0.002187, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.194716, Class: 1.000000, Obj: 0.009017, No Obj: 0.002319, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.073359, Class: 1.000000, Obj: 0.010164, No Obj: 0.002243, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.399504, Class: 1.000000, Obj: 0.009267, No Obj: 0.002182, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.137200, Class: 1.000000, Obj: 0.027976, No Obj: 0.002233, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39680: 0.030733, 0.035723 avg loss, 0.000005 rate, 0.515568 seconds, 634880 images, 0.088087 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 576 x 576 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000049 seconds\n",
            "Region Avg IOU: 0.099053, Class: 1.000000, Obj: 0.015951, No Obj: 0.002321, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.058056, Class: 1.000000, Obj: 0.006655, No Obj: 0.002274, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.359034, Class: 1.000000, Obj: 0.032352, No Obj: 0.002446, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.279981, Class: 1.000000, Obj: 0.010449, No Obj: 0.002329, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.150988, Class: 1.000000, Obj: 0.033266, No Obj: 0.002340, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.255290, Class: 1.000000, Obj: 0.009224, No Obj: 0.002346, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.336693, Class: 1.000000, Obj: 0.027606, No Obj: 0.002372, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.389763, Class: 1.000000, Obj: 0.022512, No Obj: 0.002407, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39681: 0.029753, 0.035126 avg loss, 0.000005 rate, 1.014515 seconds, 634896 images, 0.087665 hours left\n",
            "Loaded: 0.000036 seconds\n",
            "Region Avg IOU: 0.211078, Class: 1.000000, Obj: 0.025477, No Obj: 0.002337, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.159553, Class: 1.000000, Obj: 0.011004, No Obj: 0.002280, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.172846, Class: 1.000000, Obj: 0.029322, No Obj: 0.002369, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.002388, Avg Recall: -nan,  count: 0\n",
            "Region Avg IOU: 0.152094, Class: 1.000000, Obj: 0.028663, No Obj: 0.002324, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.227420, Class: 1.000000, Obj: 0.027434, No Obj: 0.002329, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.707740, Class: 1.000000, Obj: 0.041838, No Obj: 0.002297, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.423195, Class: 1.000000, Obj: 0.028501, No Obj: 0.002336, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39682: 0.017660, 0.033379 avg loss, 0.000005 rate, 1.105752 seconds, 634912 images, 0.087687 hours left\n",
            "Loaded: 0.000048 seconds\n",
            "Region Avg IOU: 0.610379, Class: 1.000000, Obj: 0.010137, No Obj: 0.002350, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.176397, Class: 1.000000, Obj: 0.032354, No Obj: 0.002382, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.349135, Class: 1.000000, Obj: 0.017344, No Obj: 0.002329, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.147707, Class: 1.000000, Obj: 0.016013, No Obj: 0.002371, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.536397, Class: 1.000000, Obj: 0.014309, No Obj: 0.002293, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.360941, Class: 1.000000, Obj: 0.027222, No Obj: 0.002370, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.269354, Class: 1.000000, Obj: 0.006743, No Obj: 0.002222, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.419107, Class: 1.000000, Obj: 0.019686, No Obj: 0.002283, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39683: 0.030349, 0.033076 avg loss, 0.000005 rate, 1.096716 seconds, 634928 images, 0.087787 hours left\n",
            "Loaded: 0.000050 seconds\n",
            "Region Avg IOU: 0.105612, Class: 1.000000, Obj: 0.019387, No Obj: 0.002247, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.514748, Class: 1.000000, Obj: 0.015259, No Obj: 0.002371, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.052947, Class: 1.000000, Obj: 0.020559, No Obj: 0.002296, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.176711, Class: 1.000000, Obj: 0.012611, No Obj: 0.002256, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.196497, Class: 1.000000, Obj: 0.014817, No Obj: 0.002341, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.277689, Class: 1.000000, Obj: 0.016895, No Obj: 0.002342, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.238148, Class: 1.000000, Obj: 0.007934, No Obj: 0.002319, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.216635, Class: 1.000000, Obj: 0.004909, No Obj: 0.002227, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39684: 0.035726, 0.033341 avg loss, 0.000005 rate, 1.104968 seconds, 634944 images, 0.087875 hours left\n",
            "Loaded: 0.000059 seconds\n",
            "Region Avg IOU: 0.316057, Class: 1.000000, Obj: 0.008811, No Obj: 0.002303, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.342597, Class: 1.000000, Obj: 0.014596, No Obj: 0.002329, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.153784, Class: 1.000000, Obj: 0.017300, No Obj: 0.002313, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.079970, Class: 1.000000, Obj: 0.036956, No Obj: 0.002358, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.244495, Class: 1.000000, Obj: 0.049961, No Obj: 0.002361, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.279229, Class: 1.000000, Obj: 0.022746, No Obj: 0.002313, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.079266, Class: 1.000000, Obj: 0.015799, No Obj: 0.002298, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.193452, Class: 1.000000, Obj: 0.025806, No Obj: 0.002322, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39685: 0.232674, 0.053275 avg loss, 0.000005 rate, 1.094224 seconds, 634960 images, 0.087966 hours left\n",
            "Loaded: 0.000048 seconds\n",
            "Region Avg IOU: 0.263038, Class: 1.000000, Obj: 0.028732, No Obj: 0.002305, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.384001, Class: 1.000000, Obj: 0.007100, No Obj: 0.002264, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.185446, Class: 1.000000, Obj: 0.016047, No Obj: 0.002289, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.497250, Class: 1.000000, Obj: 0.033123, No Obj: 0.002405, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.720909, Class: 1.000000, Obj: 0.033432, No Obj: 0.002285, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.335552, Class: 1.000000, Obj: 0.012941, No Obj: 0.002357, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.232902, Class: 1.000000, Obj: 0.011932, No Obj: 0.002409, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.394417, Class: 1.000000, Obj: 0.007125, No Obj: 0.002261, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39686: 0.051369, 0.053084 avg loss, 0.000005 rate, 1.104861 seconds, 634976 images, 0.088044 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.202878, Class: 1.000000, Obj: 0.025051, No Obj: 0.002350, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.374892, Class: 1.000000, Obj: 0.013119, No Obj: 0.002275, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.130439, Class: 1.000000, Obj: 0.018631, No Obj: 0.002398, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.392348, Class: 1.000000, Obj: 0.019815, No Obj: 0.002279, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.200352, Class: 1.000000, Obj: 0.019598, No Obj: 0.002331, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.127317, Class: 1.000000, Obj: 0.011168, No Obj: 0.002343, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.668234, Class: 1.000000, Obj: 0.013955, No Obj: 0.002293, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.668987, Class: 1.000000, Obj: 0.015311, No Obj: 0.002286, Avg Recall: 1.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39687: 0.025468, 0.050322 avg loss, 0.000005 rate, 1.092529 seconds, 634992 images, 0.088127 hours left\n",
            "Loaded: 0.000054 seconds\n",
            "Region Avg IOU: 0.242821, Class: 1.000000, Obj: 0.013043, No Obj: 0.002333, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.235901, Class: 1.000000, Obj: 0.034028, No Obj: 0.002347, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.175909, Class: 1.000000, Obj: 0.016915, No Obj: 0.002369, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.213795, Class: 1.000000, Obj: 0.019136, No Obj: 0.002324, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.226191, Class: 1.000000, Obj: 0.020586, No Obj: 0.002285, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.386512, Class: 1.000000, Obj: 0.021828, No Obj: 0.002365, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.303429, Class: 1.000000, Obj: 0.011191, No Obj: 0.002302, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.107468, Class: 1.000000, Obj: 0.008171, No Obj: 0.002290, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39688: 0.037997, 0.049090 avg loss, 0.000005 rate, 1.105150 seconds, 635008 images, 0.088196 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.676183, Class: 1.000000, Obj: 0.019899, No Obj: 0.002435, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.095616, Class: 1.000000, Obj: 0.025061, No Obj: 0.002323, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.598178, Class: 1.000000, Obj: 0.011911, No Obj: 0.002384, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.550320, Class: 1.000000, Obj: 0.017944, No Obj: 0.002333, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.177374, Class: 1.000000, Obj: 0.021725, No Obj: 0.002328, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.233587, Class: 1.000000, Obj: 0.013897, No Obj: 0.002286, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.269662, Class: 1.000000, Obj: 0.015866, No Obj: 0.002333, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.327690, Class: 1.000000, Obj: 0.019669, No Obj: 0.002272, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39689: 0.044166, 0.048597 avg loss, 0.000005 rate, 1.097417 seconds, 635024 images, 0.088272 hours left\n",
            "Loaded: 0.000043 seconds\n",
            "Region Avg IOU: 0.373826, Class: 1.000000, Obj: 0.011036, No Obj: 0.002260, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.365268, Class: 1.000000, Obj: 0.010809, No Obj: 0.002358, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.428147, Class: 1.000000, Obj: 0.017207, No Obj: 0.002370, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.169316, Class: 1.000000, Obj: 0.012993, No Obj: 0.002344, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.345003, Class: 1.000000, Obj: 0.006070, No Obj: 0.002249, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.145278, Class: 1.000000, Obj: 0.018880, No Obj: 0.002401, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.144595, Class: 1.000000, Obj: 0.015042, No Obj: 0.002356, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.131385, Class: 1.000000, Obj: 0.012512, No Obj: 0.002251, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39690: 0.025498, 0.046287 avg loss, 0.000005 rate, 1.112422 seconds, 635040 images, 0.088337 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 352 x 352 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000048 seconds\n",
            "Region Avg IOU: 0.251251, Class: 1.000000, Obj: 0.010069, No Obj: 0.002193, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.093331, Class: 1.000000, Obj: 0.012935, No Obj: 0.002179, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.069867, Class: 1.000000, Obj: 0.013630, No Obj: 0.002224, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.017453, Class: 1.000000, Obj: 0.021069, No Obj: 0.002230, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.058232, Class: 1.000000, Obj: 0.018765, No Obj: 0.002197, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.050166, Class: 1.000000, Obj: 0.011273, No Obj: 0.002188, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.084789, Class: 1.000000, Obj: 0.016518, No Obj: 0.002295, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.063944, Class: 1.000000, Obj: 0.015024, No Obj: 0.002209, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39691: 0.091098, 0.050769 avg loss, 0.000005 rate, 0.435738 seconds, 635056 images, 0.088412 hours left\n",
            "Loaded: 0.000059 seconds\n",
            "Region Avg IOU: 0.189918, Class: 1.000000, Obj: 0.011244, No Obj: 0.002274, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.256380, Class: 1.000000, Obj: 0.008262, No Obj: 0.002240, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.347296, Class: 1.000000, Obj: 0.015440, No Obj: 0.002266, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.039268, Class: 1.000000, Obj: 0.016487, No Obj: 0.002202, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.191637, Class: 1.000000, Obj: 0.007530, No Obj: 0.002314, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.044645, Class: 1.000000, Obj: 0.010286, No Obj: 0.002190, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.196054, Class: 1.000000, Obj: 0.017626, No Obj: 0.002259, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.004100, Class: 1.000000, Obj: 0.008792, No Obj: 0.002135, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39692: 0.027452, 0.048437 avg loss, 0.000005 rate, 0.468544 seconds, 635072 images, 0.087902 hours left\n",
            "Loaded: 0.000053 seconds\n",
            "Region Avg IOU: 0.085185, Class: 1.000000, Obj: 0.009874, No Obj: 0.002281, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.011875, No Obj: 0.002219, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.347964, Class: 1.000000, Obj: 0.018840, No Obj: 0.002202, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.161435, Class: 1.000000, Obj: 0.014495, No Obj: 0.002168, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.437163, Class: 1.000000, Obj: 0.016745, No Obj: 0.002304, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.183297, Class: 1.000000, Obj: 0.009949, No Obj: 0.002256, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.247949, Class: 1.000000, Obj: 0.018925, No Obj: 0.002272, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.248624, Class: 1.000000, Obj: 0.023304, No Obj: 0.002192, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39693: 0.017378, 0.045331 avg loss, 0.000005 rate, 0.473996 seconds, 635088 images, 0.087424 hours left\n",
            "Loaded: 0.000050 seconds\n",
            "Region Avg IOU: 0.138119, Class: 1.000000, Obj: 0.005481, No Obj: 0.002290, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.256618, Class: 1.000000, Obj: 0.024328, No Obj: 0.002255, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.122167, Class: 1.000000, Obj: 0.006088, No Obj: 0.002320, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.053201, Class: 1.000000, Obj: 0.014240, No Obj: 0.002220, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.158931, Class: 1.000000, Obj: 0.015449, No Obj: 0.002296, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.210784, Class: 1.000000, Obj: 0.006173, No Obj: 0.002144, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.049358, Class: 1.000000, Obj: 0.008777, No Obj: 0.002260, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.051785, Class: 1.000000, Obj: 0.013425, No Obj: 0.002215, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39694: 0.026708, 0.043469 avg loss, 0.000005 rate, 0.467844 seconds, 635104 images, 0.086954 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.186174, Class: 1.000000, Obj: 0.015203, No Obj: 0.002300, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.257810, Class: 1.000000, Obj: 0.015685, No Obj: 0.002286, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.439333, Class: 1.000000, Obj: 0.010064, No Obj: 0.002220, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.185364, Class: 1.000000, Obj: 0.009096, No Obj: 0.002333, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.043106, Class: 1.000000, Obj: 0.013154, No Obj: 0.002275, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.085016, Class: 1.000000, Obj: 0.015651, No Obj: 0.002180, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.041518, Class: 1.000000, Obj: 0.016103, No Obj: 0.002294, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.011230, No Obj: 0.002197, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39695: 0.057060, 0.044828 avg loss, 0.000005 rate, 0.469168 seconds, 635120 images, 0.086482 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.257409, Class: 1.000000, Obj: 0.014279, No Obj: 0.002245, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.135378, Class: 1.000000, Obj: 0.006604, No Obj: 0.002251, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.115183, Class: 1.000000, Obj: 0.018103, No Obj: 0.002290, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.223138, Class: 1.000000, Obj: 0.008792, No Obj: 0.002319, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.054421, Class: 1.000000, Obj: 0.007965, No Obj: 0.002149, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.049369, Class: 1.000000, Obj: 0.021870, No Obj: 0.002269, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.311644, Class: 1.000000, Obj: 0.013896, No Obj: 0.002222, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.003819, Class: 1.000000, Obj: 0.012169, No Obj: 0.002210, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39696: 0.049248, 0.045270 avg loss, 0.000005 rate, 0.466617 seconds, 635136 images, 0.086015 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.368599, Class: 1.000000, Obj: 0.011987, No Obj: 0.002256, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.121420, Class: 1.000000, Obj: 0.017400, No Obj: 0.002216, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.153493, Class: 1.000000, Obj: 0.012340, No Obj: 0.002228, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.110426, Class: 1.000000, Obj: 0.008209, No Obj: 0.002213, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.239480, Class: 1.000000, Obj: 0.013021, No Obj: 0.002220, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.328931, Class: 1.000000, Obj: 0.018155, No Obj: 0.002199, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.014063, No Obj: 0.002085, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.330405, Class: 1.000000, Obj: 0.022119, No Obj: 0.002344, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39697: 0.015073, 0.042250 avg loss, 0.000005 rate, 0.468956 seconds, 635152 images, 0.085549 hours left\n",
            "Loaded: 0.000046 seconds\n",
            "Region Avg IOU: 0.216728, Class: 1.000000, Obj: 0.006898, No Obj: 0.002329, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.087130, Class: 1.000000, Obj: 0.019931, No Obj: 0.002181, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.157399, Class: 1.000000, Obj: 0.017173, No Obj: 0.002114, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.026029, No Obj: 0.002178, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.304712, Class: 1.000000, Obj: 0.019774, No Obj: 0.002224, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.120515, Class: 1.000000, Obj: 0.019815, No Obj: 0.002197, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.282949, Class: 1.000000, Obj: 0.014202, No Obj: 0.002301, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.011413, No Obj: 0.002166, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39698: 0.025060, 0.040531 avg loss, 0.000005 rate, 0.464852 seconds, 635168 images, 0.085088 hours left\n",
            "Loaded: 0.000053 seconds\n",
            "Region Avg IOU: 0.010313, Class: 1.000000, Obj: 0.022806, No Obj: 0.002286, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.309576, Class: 1.000000, Obj: 0.020648, No Obj: 0.002189, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.016645, No Obj: 0.002164, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.387119, Class: 1.000000, Obj: 0.013330, No Obj: 0.002186, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.381784, Class: 1.000000, Obj: 0.009923, No Obj: 0.002274, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.443535, Class: 1.000000, Obj: 0.020445, No Obj: 0.002299, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.239383, Class: 1.000000, Obj: 0.009732, No Obj: 0.002260, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000553, Class: 1.000000, Obj: 0.028380, No Obj: 0.002262, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39699: 0.020975, 0.038575 avg loss, 0.000005 rate, 0.465966 seconds, 635184 images, 0.084627 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.377436, Class: 1.000000, Obj: 0.013934, No Obj: 0.002313, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.009737, No Obj: 0.002213, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.088139, Class: 1.000000, Obj: 0.019043, No Obj: 0.002278, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.357817, Class: 1.000000, Obj: 0.021057, No Obj: 0.002232, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.432455, Class: 1.000000, Obj: 0.012512, No Obj: 0.002240, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.058094, Class: 1.000000, Obj: 0.014806, No Obj: 0.002178, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.231658, Class: 1.000000, Obj: 0.016914, No Obj: 0.002321, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.376407, Class: 1.000000, Obj: 0.008201, No Obj: 0.002178, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39700: 0.036555, 0.038373 avg loss, 0.000005 rate, 0.466120 seconds, 635200 images, 0.084170 hours left\n",
            "Saving weights to /content/drive/MyDrive/Yolov4/backup/yolov4Custom_last.weights\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 640 x 640 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000046 seconds\n",
            "Region Avg IOU: 0.377223, Class: 1.000000, Obj: 0.008150, No Obj: 0.002248, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.352930, Class: 1.000000, Obj: 0.033867, No Obj: 0.002301, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.180794, Class: 1.000000, Obj: 0.016828, No Obj: 0.002356, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.327306, Class: 1.000000, Obj: 0.019127, No Obj: 0.002316, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.300913, Class: 1.000000, Obj: 0.014811, No Obj: 0.002282, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.385310, Class: 1.000000, Obj: 0.016899, No Obj: 0.002310, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.389814, Class: 1.000000, Obj: 0.017827, No Obj: 0.002312, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.334489, Class: 1.000000, Obj: 0.008118, No Obj: 0.002246, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39701: 0.019412, 0.036477 avg loss, 0.000005 rate, 1.141550 seconds, 635216 images, 0.083717 hours left\n",
            "Loaded: 0.000057 seconds\n",
            "Region Avg IOU: 0.535243, Class: 1.000000, Obj: 0.027964, No Obj: 0.002354, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.168266, Class: 1.000000, Obj: 0.022172, No Obj: 0.002328, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.270504, Class: 1.000000, Obj: 0.012066, No Obj: 0.002305, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.371538, Class: 1.000000, Obj: 0.017301, No Obj: 0.002330, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.188392, Class: 1.000000, Obj: 0.007036, No Obj: 0.002221, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.210285, Class: 1.000000, Obj: 0.019424, No Obj: 0.002300, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.572516, Class: 1.000000, Obj: 0.013989, No Obj: 0.002252, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.425451, Class: 1.000000, Obj: 0.021417, No Obj: 0.002329, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39702: 0.023151, 0.035145 avg loss, 0.000005 rate, 1.245416 seconds, 635232 images, 0.083828 hours left\n",
            "Loaded: 0.000056 seconds\n",
            "Region Avg IOU: 0.304320, Class: 1.000000, Obj: 0.007390, No Obj: 0.002334, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.287072, Class: 1.000000, Obj: 0.028757, No Obj: 0.002343, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.298455, Class: 1.000000, Obj: 0.018843, No Obj: 0.002438, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.213255, Class: 1.000000, Obj: 0.024571, No Obj: 0.002314, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.343839, Class: 1.000000, Obj: 0.021280, No Obj: 0.002265, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.513696, Class: 1.000000, Obj: 0.015995, No Obj: 0.002192, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.354645, Class: 1.000000, Obj: 0.020200, No Obj: 0.002298, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.282237, Class: 1.000000, Obj: 0.014706, No Obj: 0.002196, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39703: 0.032477, 0.034878 avg loss, 0.000005 rate, 1.243852 seconds, 635248 images, 0.084021 hours left\n",
            "Loaded: 0.000043 seconds\n",
            "Region Avg IOU: 0.250458, Class: 1.000000, Obj: 0.019800, No Obj: 0.002352, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.516911, Class: 1.000000, Obj: 0.032081, No Obj: 0.002308, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.450158, Class: 1.000000, Obj: 0.037308, No Obj: 0.002315, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.317192, Class: 1.000000, Obj: 0.021048, No Obj: 0.002299, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.479856, Class: 1.000000, Obj: 0.011146, No Obj: 0.002274, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.563621, Class: 1.000000, Obj: 0.009368, No Obj: 0.002239, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.255520, Class: 1.000000, Obj: 0.014478, No Obj: 0.002213, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.522412, Class: 1.000000, Obj: 0.019849, No Obj: 0.002365, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39704: 0.024138, 0.033804 avg loss, 0.000005 rate, 1.256975 seconds, 635264 images, 0.084207 hours left\n",
            "Loaded: 0.000056 seconds\n",
            "Region Avg IOU: 0.309003, Class: 1.000000, Obj: 0.013595, No Obj: 0.002287, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.246424, Class: 1.000000, Obj: 0.022352, No Obj: 0.002309, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.302459, Class: 1.000000, Obj: 0.023859, No Obj: 0.002232, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.347132, Class: 1.000000, Obj: 0.009465, No Obj: 0.002278, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.363981, Class: 1.000000, Obj: 0.013516, No Obj: 0.002354, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.256764, Class: 1.000000, Obj: 0.016178, No Obj: 0.002276, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.206732, Class: 1.000000, Obj: 0.008332, No Obj: 0.002313, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.115653, Class: 1.000000, Obj: 0.014499, No Obj: 0.002258, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39705: 0.170843, 0.047508 avg loss, 0.000005 rate, 1.244385 seconds, 635280 images, 0.084398 hours left\n",
            "Loaded: 0.000058 seconds\n",
            "Region Avg IOU: 0.275553, Class: 1.000000, Obj: 0.014106, No Obj: 0.002289, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.598455, Class: 1.000000, Obj: 0.013497, No Obj: 0.002203, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.456265, Class: 1.000000, Obj: 0.022421, No Obj: 0.002372, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.473532, Class: 1.000000, Obj: 0.010885, No Obj: 0.002266, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.490887, Class: 1.000000, Obj: 0.032851, No Obj: 0.002282, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.439487, Class: 1.000000, Obj: 0.028347, No Obj: 0.002324, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.419924, Class: 1.000000, Obj: 0.028176, No Obj: 0.002380, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.198274, Class: 1.000000, Obj: 0.017428, No Obj: 0.002255, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39706: 0.028973, 0.045654 avg loss, 0.000005 rate, 1.251924 seconds, 635296 images, 0.084574 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.339991, Class: 1.000000, Obj: 0.029103, No Obj: 0.002327, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.169680, Class: 1.000000, Obj: 0.013497, No Obj: 0.002291, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.410619, Class: 1.000000, Obj: 0.013463, No Obj: 0.002234, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.444383, Class: 1.000000, Obj: 0.016830, No Obj: 0.002252, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.374434, Class: 1.000000, Obj: 0.017445, No Obj: 0.002307, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.329081, Class: 1.000000, Obj: 0.015351, No Obj: 0.002328, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.405224, Class: 1.000000, Obj: 0.017543, No Obj: 0.002230, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.193443, Class: 1.000000, Obj: 0.032095, No Obj: 0.002376, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39707: 0.035055, 0.044594 avg loss, 0.000005 rate, 1.246007 seconds, 635312 images, 0.084751 hours left\n",
            "Loaded: 0.000052 seconds\n",
            "Region Avg IOU: 0.322550, Class: 1.000000, Obj: 0.008778, No Obj: 0.002279, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.174256, Class: 1.000000, Obj: 0.020262, No Obj: 0.002309, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.502470, Class: 1.000000, Obj: 0.022910, No Obj: 0.002261, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.176649, Class: 1.000000, Obj: 0.029743, No Obj: 0.002387, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.296454, Class: 1.000000, Obj: 0.024311, No Obj: 0.002323, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.561513, Class: 1.000000, Obj: 0.019188, No Obj: 0.002322, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.274785, Class: 1.000000, Obj: 0.017917, No Obj: 0.002403, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.326022, Class: 1.000000, Obj: 0.017546, No Obj: 0.002325, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39708: 0.057030, 0.045838 avg loss, 0.000005 rate, 1.250496 seconds, 635328 images, 0.084918 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.349765, Class: 1.000000, Obj: 0.010732, No Obj: 0.002214, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.316516, Class: 1.000000, Obj: 0.023145, No Obj: 0.002310, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.275275, Class: 1.000000, Obj: 0.023430, No Obj: 0.002342, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.295916, Class: 1.000000, Obj: 0.019353, No Obj: 0.002266, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.328169, Class: 1.000000, Obj: 0.004842, No Obj: 0.002336, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.289302, Class: 1.000000, Obj: 0.010394, No Obj: 0.002256, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.288149, Class: 1.000000, Obj: 0.016778, No Obj: 0.002285, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.484841, Class: 1.000000, Obj: 0.015576, No Obj: 0.002287, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39709: 0.021939, 0.043448 avg loss, 0.000005 rate, 1.245963 seconds, 635344 images, 0.085083 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.173624, Class: 1.000000, Obj: 0.011971, No Obj: 0.002320, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.449357, Class: 1.000000, Obj: 0.020650, No Obj: 0.002282, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.337495, Class: 1.000000, Obj: 0.015565, No Obj: 0.002348, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.562353, Class: 1.000000, Obj: 0.016724, No Obj: 0.002224, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.221220, Class: 1.000000, Obj: 0.014159, No Obj: 0.002239, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.349906, Class: 1.000000, Obj: 0.018628, No Obj: 0.002318, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.256581, Class: 1.000000, Obj: 0.025278, No Obj: 0.002302, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.335964, Class: 1.000000, Obj: 0.014542, No Obj: 0.002419, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39710: 0.017819, 0.040885 avg loss, 0.000005 rate, 1.248059 seconds, 635360 images, 0.085239 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 384 x 384 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.165098, Class: 1.000000, Obj: 0.017230, No Obj: 0.002328, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.235682, Class: 1.000000, Obj: 0.028225, No Obj: 0.002366, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.162759, Class: 1.000000, Obj: 0.003623, No Obj: 0.002259, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.032016, Class: 1.000000, Obj: 0.025045, No Obj: 0.002270, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.210359, Class: 1.000000, Obj: 0.015841, No Obj: 0.002259, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.013314, No Obj: 0.002242, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.063255, Class: 1.000000, Obj: 0.014387, No Obj: 0.002174, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.318998, Class: 1.000000, Obj: 0.006849, No Obj: 0.002290, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39711: 0.025907, 0.039387 avg loss, 0.000005 rate, 0.465184 seconds, 635376 images, 0.085392 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.238095, Class: 1.000000, Obj: 0.031409, No Obj: 0.002372, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.303390, Class: 1.000000, Obj: 0.027151, No Obj: 0.002379, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.060527, Class: 1.000000, Obj: 0.015696, No Obj: 0.002242, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.048492, Class: 1.000000, Obj: 0.024996, No Obj: 0.002257, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.083751, Class: 1.000000, Obj: 0.019915, No Obj: 0.002182, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.520670, Class: 1.000000, Obj: 0.006483, No Obj: 0.002310, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.008309, Class: 1.000000, Obj: 0.015010, No Obj: 0.002331, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.217328, Class: 1.000000, Obj: 0.019821, No Obj: 0.002267, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39712: 0.023030, 0.037752 avg loss, 0.000005 rate, 0.523163 seconds, 635392 images, 0.084912 hours left\n",
            "Loaded: 0.000049 seconds\n",
            "Region Avg IOU: 0.071542, Class: 1.000000, Obj: 0.023238, No Obj: 0.002315, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.238690, Class: 1.000000, Obj: 0.017131, No Obj: 0.002330, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.092645, Class: 1.000000, Obj: 0.012724, No Obj: 0.002301, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.120283, Class: 1.000000, Obj: 0.012011, No Obj: 0.002269, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.128420, Class: 1.000000, Obj: 0.018691, No Obj: 0.002207, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.247874, Class: 1.000000, Obj: 0.011496, No Obj: 0.002211, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.115407, Class: 1.000000, Obj: 0.009825, No Obj: 0.002198, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.146113, Class: 1.000000, Obj: 0.018434, No Obj: 0.002279, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39713: 0.034527, 0.037429 avg loss, 0.000005 rate, 0.516854 seconds, 635408 images, 0.084481 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.044254, Class: 1.000000, Obj: 0.021716, No Obj: 0.002316, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.068233, Class: 1.000000, Obj: 0.015182, No Obj: 0.002252, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.081954, Class: 1.000000, Obj: 0.021595, No Obj: 0.002261, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.063017, Class: 1.000000, Obj: 0.013916, No Obj: 0.002347, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.147076, Class: 1.000000, Obj: 0.015036, No Obj: 0.002230, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.242394, Class: 1.000000, Obj: 0.010472, No Obj: 0.002252, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.295697, Class: 1.000000, Obj: 0.010127, No Obj: 0.002278, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.065677, Class: 1.000000, Obj: 0.009035, No Obj: 0.002291, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39714: 0.033204, 0.037007 avg loss, 0.000005 rate, 0.521582 seconds, 635424 images, 0.084048 hours left\n",
            "Loaded: 0.000049 seconds\n",
            "Region Avg IOU: 0.263760, Class: 1.000000, Obj: 0.015326, No Obj: 0.002250, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.137356, Class: 1.000000, Obj: 0.024348, No Obj: 0.002218, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.009858, No Obj: 0.002199, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.059684, Class: 1.000000, Obj: 0.007777, No Obj: 0.002285, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.087647, Class: 1.000000, Obj: 0.021568, No Obj: 0.002310, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.405764, Class: 1.000000, Obj: 0.022472, No Obj: 0.002250, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.246102, Class: 1.000000, Obj: 0.022755, No Obj: 0.002325, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.293654, Class: 1.000000, Obj: 0.007384, No Obj: 0.002316, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39715: 0.037339, 0.037040 avg loss, 0.000005 rate, 0.516363 seconds, 635440 images, 0.083622 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.093644, Class: 1.000000, Obj: 0.005256, No Obj: 0.002342, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.109456, Class: 1.000000, Obj: 0.029251, No Obj: 0.002296, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.063185, Class: 1.000000, Obj: 0.014826, No Obj: 0.002294, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.006808, Class: 1.000000, Obj: 0.005909, No Obj: 0.002196, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.243564, Class: 1.000000, Obj: 0.019265, No Obj: 0.002194, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.007337, No Obj: 0.002240, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.369951, Class: 1.000000, Obj: 0.014247, No Obj: 0.002325, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.022997, No Obj: 0.002315, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39716: 0.156309, 0.048967 avg loss, 0.000005 rate, 0.520207 seconds, 635456 images, 0.083195 hours left\n",
            "Loaded: 0.000054 seconds\n",
            "Region Avg IOU: 0.200608, Class: 1.000000, Obj: 0.025985, No Obj: 0.002326, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.039353, Class: 1.000000, Obj: 0.024784, No Obj: 0.002322, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.212672, Class: 1.000000, Obj: 0.018980, No Obj: 0.002182, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.381548, Class: 1.000000, Obj: 0.004260, No Obj: 0.002199, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.239375, Class: 1.000000, Obj: 0.016444, No Obj: 0.002247, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.017051, No Obj: 0.002186, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.048287, Class: 1.000000, Obj: 0.021752, No Obj: 0.002255, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.055979, Class: 1.000000, Obj: 0.004364, No Obj: 0.002299, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39717: 0.013844, 0.045454 avg loss, 0.000005 rate, 0.523252 seconds, 635472 images, 0.082773 hours left\n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.051365, Class: 1.000000, Obj: 0.006782, No Obj: 0.002249, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.434084, Class: 1.000000, Obj: 0.010416, No Obj: 0.002332, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.160023, Class: 1.000000, Obj: 0.021285, No Obj: 0.002318, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.106579, Class: 1.000000, Obj: 0.011944, No Obj: 0.002255, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.229394, Class: 1.000000, Obj: 0.019823, No Obj: 0.002212, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.264255, Class: 1.000000, Obj: 0.021491, No Obj: 0.002171, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.087613, Class: 1.000000, Obj: 0.027823, No Obj: 0.002345, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.130654, Class: 1.000000, Obj: 0.018181, No Obj: 0.002278, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39718: 0.024603, 0.043369 avg loss, 0.000005 rate, 0.516221 seconds, 635488 images, 0.082357 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.114473, Class: 1.000000, Obj: 0.022744, No Obj: 0.002263, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.258783, Class: 1.000000, Obj: 0.025639, No Obj: 0.002237, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.037651, Class: 1.000000, Obj: 0.003220, No Obj: 0.002222, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.158166, Class: 1.000000, Obj: 0.022848, No Obj: 0.002345, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.396120, Class: 1.000000, Obj: 0.018564, No Obj: 0.002335, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.394159, Class: 1.000000, Obj: 0.015989, No Obj: 0.002216, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.284402, Class: 1.000000, Obj: 0.009919, No Obj: 0.002388, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.106140, Class: 1.000000, Obj: 0.021450, No Obj: 0.002224, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39719: 0.032114, 0.042244 avg loss, 0.000005 rate, 0.522568 seconds, 635504 images, 0.081938 hours left\n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.158430, Class: 1.000000, Obj: 0.022933, No Obj: 0.002269, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.084044, Class: 1.000000, Obj: 0.008588, No Obj: 0.002249, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.072181, Class: 1.000000, Obj: 0.008351, No Obj: 0.002229, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.202020, Class: 1.000000, Obj: 0.008214, No Obj: 0.002369, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.221711, Class: 1.000000, Obj: 0.006287, No Obj: 0.002312, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.063840, Class: 1.000000, Obj: 0.010659, No Obj: 0.002202, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.135420, Class: 1.000000, Obj: 0.012590, No Obj: 0.002355, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.045914, Class: 1.000000, Obj: 0.007630, No Obj: 0.002317, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39720: 0.020452, 0.040065 avg loss, 0.000005 rate, 0.517604 seconds, 635520 images, 0.081527 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 544 x 544 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.283249, Class: 1.000000, Obj: 0.014426, No Obj: 0.002348, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.331294, Class: 1.000000, Obj: 0.019836, No Obj: 0.002353, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.133778, Class: 1.000000, Obj: 0.014614, No Obj: 0.002255, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.376088, Class: 1.000000, Obj: 0.015613, No Obj: 0.002312, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.083595, Class: 1.000000, Obj: 0.026406, No Obj: 0.002378, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.281466, Class: 1.000000, Obj: 0.017887, No Obj: 0.002394, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.314417, Class: 1.000000, Obj: 0.019208, No Obj: 0.002443, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.127358, Class: 1.000000, Obj: 0.028030, No Obj: 0.002322, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39721: 0.021725, 0.038231 avg loss, 0.000005 rate, 0.950371 seconds, 635536 images, 0.081114 hours left\n",
            "Loaded: 0.000046 seconds\n",
            "Region Avg IOU: 0.302954, Class: 1.000000, Obj: 0.022732, No Obj: 0.002374, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.270262, Class: 1.000000, Obj: 0.009976, No Obj: 0.002260, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.255039, Class: 1.000000, Obj: 0.006539, No Obj: 0.002336, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.159830, Class: 1.000000, Obj: 0.008738, No Obj: 0.002322, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.410385, Class: 1.000000, Obj: 0.017948, No Obj: 0.002368, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.127300, Class: 1.000000, Obj: 0.019897, No Obj: 0.002392, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.235883, Class: 1.000000, Obj: 0.027868, No Obj: 0.002315, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.553742, Class: 1.000000, Obj: 0.012363, No Obj: 0.002378, Avg Recall: 1.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39722: 0.037222, 0.038130 avg loss, 0.000005 rate, 1.038549 seconds, 635552 images, 0.081039 hours left\n",
            "Loaded: 0.000053 seconds\n",
            "Region Avg IOU: 0.338509, Class: 1.000000, Obj: 0.012478, No Obj: 0.002316, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.269625, Class: 1.000000, Obj: 0.036361, No Obj: 0.002348, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.228086, Class: 1.000000, Obj: 0.012543, No Obj: 0.002339, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.285762, Class: 1.000000, Obj: 0.008785, No Obj: 0.002360, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.697452, Class: 1.000000, Obj: 0.041820, No Obj: 0.002354, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.327318, Class: 1.000000, Obj: 0.021618, No Obj: 0.002381, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.611845, Class: 1.000000, Obj: 0.012297, No Obj: 0.002348, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.415551, Class: 1.000000, Obj: 0.037166, No Obj: 0.002333, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39723: 0.016979, 0.036015 avg loss, 0.000005 rate, 1.029593 seconds, 635568 images, 0.081031 hours left\n",
            "Loaded: 0.000060 seconds\n",
            "Region Avg IOU: 0.274673, Class: 1.000000, Obj: 0.028751, No Obj: 0.002374, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.453493, Class: 1.000000, Obj: 0.019434, No Obj: 0.002364, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.327694, Class: 1.000000, Obj: 0.004765, No Obj: 0.002263, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.213295, Class: 1.000000, Obj: 0.003109, No Obj: 0.002293, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.311773, Class: 1.000000, Obj: 0.017655, No Obj: 0.002310, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.244519, Class: 1.000000, Obj: 0.015412, No Obj: 0.002382, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.456987, Class: 1.000000, Obj: 0.017507, No Obj: 0.002365, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.173673, Class: 1.000000, Obj: 0.016471, No Obj: 0.002332, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39724: 0.026756, 0.035089 avg loss, 0.000005 rate, 1.044494 seconds, 635584 images, 0.081013 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.236894, Class: 1.000000, Obj: 0.012556, No Obj: 0.002330, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.271998, Class: 1.000000, Obj: 0.009135, No Obj: 0.002375, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.307214, Class: 1.000000, Obj: 0.017190, No Obj: 0.002253, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.463148, Class: 1.000000, Obj: 0.009595, No Obj: 0.002435, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.400172, Class: 1.000000, Obj: 0.027369, No Obj: 0.002311, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.265780, Class: 1.000000, Obj: 0.010283, No Obj: 0.002270, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.568043, Class: 1.000000, Obj: 0.010547, No Obj: 0.002370, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.227447, Class: 1.000000, Obj: 0.009441, No Obj: 0.002350, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39725: 0.079056, 0.039485 avg loss, 0.000005 rate, 1.014976 seconds, 635600 images, 0.081004 hours left\n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.118920, Class: 1.000000, Obj: 0.027488, No Obj: 0.002370, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.158835, Class: 1.000000, Obj: 0.027767, No Obj: 0.002375, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.538629, Class: 1.000000, Obj: 0.024734, No Obj: 0.002367, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.134322, Class: 1.000000, Obj: 0.014997, No Obj: 0.002303, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.498702, Class: 1.000000, Obj: 0.016841, No Obj: 0.002326, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.297328, Class: 1.000000, Obj: 0.014412, No Obj: 0.002292, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.186120, Class: 1.000000, Obj: 0.021053, No Obj: 0.002371, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.257517, Class: 1.000000, Obj: 0.023569, No Obj: 0.002308, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39726: 0.024614, 0.037998 avg loss, 0.000005 rate, 1.038331 seconds, 635616 images, 0.080969 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.175938, Class: 1.000000, Obj: 0.008899, No Obj: 0.002335, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.379183, Class: 1.000000, Obj: 0.025650, No Obj: 0.002311, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.295597, Class: 1.000000, Obj: 0.026082, No Obj: 0.002338, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.244785, Class: 1.000000, Obj: 0.013034, No Obj: 0.002262, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.185109, Class: 1.000000, Obj: 0.019755, No Obj: 0.002345, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.546230, Class: 1.000000, Obj: 0.024257, No Obj: 0.002258, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.330932, Class: 1.000000, Obj: 0.023356, No Obj: 0.002377, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.144301, Class: 1.000000, Obj: 0.005846, No Obj: 0.002336, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39727: 0.033907, 0.037589 avg loss, 0.000005 rate, 1.024031 seconds, 635632 images, 0.080950 hours left\n",
            "Loaded: 0.000064 seconds\n",
            "Region Avg IOU: 0.120729, Class: 1.000000, Obj: 0.039074, No Obj: 0.002321, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.203874, Class: 1.000000, Obj: 0.011106, No Obj: 0.002292, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.392159, Class: 1.000000, Obj: 0.009232, No Obj: 0.002306, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.185225, Class: 1.000000, Obj: 0.016909, No Obj: 0.002349, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.441352, Class: 1.000000, Obj: 0.022579, No Obj: 0.002315, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.326121, Class: 1.000000, Obj: 0.015056, No Obj: 0.002359, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.347903, Class: 1.000000, Obj: 0.012408, No Obj: 0.002252, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.157133, Class: 1.000000, Obj: 0.022502, No Obj: 0.002370, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39728: 0.024154, 0.036246 avg loss, 0.000005 rate, 1.040164 seconds, 635648 images, 0.080917 hours left\n",
            "Loaded: 0.000056 seconds\n",
            "Region Avg IOU: 0.233823, Class: 1.000000, Obj: 0.017042, No Obj: 0.002273, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.223968, Class: 1.000000, Obj: 0.006468, No Obj: 0.002246, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.379213, Class: 1.000000, Obj: 0.010461, No Obj: 0.002245, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.323198, Class: 1.000000, Obj: 0.017262, No Obj: 0.002312, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.155275, Class: 1.000000, Obj: 0.021329, No Obj: 0.002371, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.215945, Class: 1.000000, Obj: 0.025074, No Obj: 0.002403, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.117317, Class: 1.000000, Obj: 0.020771, No Obj: 0.002358, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.210865, Class: 1.000000, Obj: 0.017953, No Obj: 0.002365, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39729: 0.040313, 0.036652 avg loss, 0.000005 rate, 1.022007 seconds, 635664 images, 0.080894 hours left\n",
            "Loaded: 0.000047 seconds\n",
            "Region Avg IOU: 0.315583, Class: 1.000000, Obj: 0.011622, No Obj: 0.002385, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.147167, Class: 1.000000, Obj: 0.012321, No Obj: 0.002339, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.311843, Class: 1.000000, Obj: 0.015886, No Obj: 0.002283, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.241284, Class: 1.000000, Obj: 0.034868, No Obj: 0.002369, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.208410, Class: 1.000000, Obj: 0.015835, No Obj: 0.002314, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.245183, Class: 1.000000, Obj: 0.028391, No Obj: 0.002393, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.190319, Class: 1.000000, Obj: 0.026943, No Obj: 0.002352, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.272540, Class: 1.000000, Obj: 0.008121, No Obj: 0.002304, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39730: 0.029534, 0.035941 avg loss, 0.000005 rate, 1.036234 seconds, 635680 images, 0.080854 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 480 x 480 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000048 seconds\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.029948, No Obj: 0.002272, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.094284, Class: 1.000000, Obj: 0.037731, No Obj: 0.002378, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.304638, Class: 1.000000, Obj: 0.018686, No Obj: 0.002377, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.284891, Class: 1.000000, Obj: 0.011772, No Obj: 0.002340, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.222224, Class: 1.000000, Obj: 0.014050, No Obj: 0.002299, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.174281, Class: 1.000000, Obj: 0.015794, No Obj: 0.002300, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.204773, Class: 1.000000, Obj: 0.025887, No Obj: 0.002299, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.269175, Class: 1.000000, Obj: 0.019387, No Obj: 0.002257, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39731: 0.022880, 0.034634 avg loss, 0.000005 rate, 0.626287 seconds, 635696 images, 0.080823 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.323867, Class: 1.000000, Obj: 0.027635, No Obj: 0.002368, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.158484, Class: 1.000000, Obj: 0.009858, No Obj: 0.002340, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.197411, Class: 1.000000, Obj: 0.017946, No Obj: 0.002428, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.132989, Class: 1.000000, Obj: 0.009370, No Obj: 0.002390, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.061824, Class: 1.000000, Obj: 0.030962, No Obj: 0.002290, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.218458, Class: 1.000000, Obj: 0.023254, No Obj: 0.002387, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.231192, Class: 1.000000, Obj: 0.018254, No Obj: 0.002370, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.256717, Class: 1.000000, Obj: 0.022247, No Obj: 0.002301, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39732: 0.019840, 0.033155 avg loss, 0.000005 rate, 0.692544 seconds, 635712 images, 0.080482 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.466085, Class: 1.000000, Obj: 0.018697, No Obj: 0.002300, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.254064, Class: 1.000000, Obj: 0.025563, No Obj: 0.002361, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.305848, Class: 1.000000, Obj: 0.030322, No Obj: 0.002373, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.058408, Class: 1.000000, Obj: 0.016553, No Obj: 0.002293, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.092336, Class: 1.000000, Obj: 0.019325, No Obj: 0.002399, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.102760, Class: 1.000000, Obj: 0.022629, No Obj: 0.002266, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.232369, Class: 1.000000, Obj: 0.008886, No Obj: 0.002273, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.503785, Class: 1.000000, Obj: 0.038001, No Obj: 0.002469, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39733: 0.068960, 0.036736 avg loss, 0.000005 rate, 0.681568 seconds, 635728 images, 0.080193 hours left\n",
            "Loaded: 0.000051 seconds\n",
            "Region Avg IOU: 0.109939, Class: 1.000000, Obj: 0.013079, No Obj: 0.002373, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.106820, Class: 1.000000, Obj: 0.023229, No Obj: 0.002316, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.388240, Class: 1.000000, Obj: 0.015279, No Obj: 0.002340, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.339109, Class: 1.000000, Obj: 0.040783, No Obj: 0.002475, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.201652, Class: 1.000000, Obj: 0.009386, No Obj: 0.002374, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.037708, Class: 1.000000, Obj: 0.018199, No Obj: 0.002294, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.404096, Class: 1.000000, Obj: 0.015642, No Obj: 0.002296, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.271435, Class: 1.000000, Obj: 0.041288, No Obj: 0.002433, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39734: 0.025921, 0.035654 avg loss, 0.000005 rate, 0.689577 seconds, 635744 images, 0.079897 hours left\n",
            "Loaded: 0.000054 seconds\n",
            "Region Avg IOU: 0.479533, Class: 1.000000, Obj: 0.015190, No Obj: 0.002289, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.128750, Class: 1.000000, Obj: 0.017610, No Obj: 0.002278, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.319786, Class: 1.000000, Obj: 0.012778, No Obj: 0.002335, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.319793, Class: 1.000000, Obj: 0.014385, No Obj: 0.002363, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.280551, Class: 1.000000, Obj: 0.007889, No Obj: 0.002377, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.386603, Class: 1.000000, Obj: 0.020264, No Obj: 0.002342, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.312665, Class: 1.000000, Obj: 0.011444, No Obj: 0.002326, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.307131, Class: 1.000000, Obj: 0.019234, No Obj: 0.002260, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39735: 0.111487, 0.043237 avg loss, 0.000005 rate, 0.683298 seconds, 635760 images, 0.079607 hours left\n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.312269, Class: 1.000000, Obj: 0.012999, No Obj: 0.002386, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.188681, Class: 1.000000, Obj: 0.015293, No Obj: 0.002410, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.295339, Class: 1.000000, Obj: 0.033183, No Obj: 0.002434, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.115876, Class: 1.000000, Obj: 0.022945, No Obj: 0.002304, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.142036, Class: 1.000000, Obj: 0.024074, No Obj: 0.002273, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.020298, Class: 1.000000, Obj: 0.024719, No Obj: 0.002317, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.130565, Class: 1.000000, Obj: 0.021186, No Obj: 0.002320, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.043072, Class: 1.000000, Obj: 0.020340, No Obj: 0.002352, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39736: 0.038938, 0.042807 avg loss, 0.000005 rate, 0.692645 seconds, 635776 images, 0.079314 hours left\n",
            "Loaded: 0.000052 seconds\n",
            "Region Avg IOU: 0.415717, Class: 1.000000, Obj: 0.028218, No Obj: 0.002298, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.211360, Class: 1.000000, Obj: 0.013207, No Obj: 0.002352, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.152658, Class: 1.000000, Obj: 0.014671, No Obj: 0.002406, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.553379, Class: 1.000000, Obj: 0.014022, No Obj: 0.002345, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.256950, Class: 1.000000, Obj: 0.015807, No Obj: 0.002297, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.147969, Class: 1.000000, Obj: 0.018473, No Obj: 0.002306, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.062263, Class: 1.000000, Obj: 0.029556, No Obj: 0.002333, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.319482, Class: 1.000000, Obj: 0.012849, No Obj: 0.002326, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39737: 0.032452, 0.041772 avg loss, 0.000005 rate, 0.681434 seconds, 635792 images, 0.079029 hours left\n",
            "Loaded: 0.000038 seconds\n",
            "Region Avg IOU: 0.379265, Class: 1.000000, Obj: 0.012412, No Obj: 0.002283, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.404945, Class: 1.000000, Obj: 0.016683, No Obj: 0.002343, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.080014, Class: 1.000000, Obj: 0.015032, No Obj: 0.002297, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.184734, Class: 1.000000, Obj: 0.020528, No Obj: 0.002368, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.084519, Class: 1.000000, Obj: 0.005830, No Obj: 0.002296, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.398713, Class: 1.000000, Obj: 0.015436, No Obj: 0.002330, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.216808, Class: 1.000000, Obj: 0.015602, No Obj: 0.002262, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.210523, Class: 1.000000, Obj: 0.011802, No Obj: 0.002350, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39738: 0.018865, 0.039481 avg loss, 0.000005 rate, 0.688940 seconds, 635808 images, 0.078737 hours left\n",
            "Loaded: 0.000055 seconds\n",
            "Region Avg IOU: 0.158583, Class: 1.000000, Obj: 0.023684, No Obj: 0.002333, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.304016, Class: 1.000000, Obj: 0.031610, No Obj: 0.002265, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.273006, Class: 1.000000, Obj: 0.018481, No Obj: 0.002279, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.658730, Class: 1.000000, Obj: 0.027560, No Obj: 0.002357, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.085482, Class: 1.000000, Obj: 0.029391, No Obj: 0.002280, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.066079, Class: 1.000000, Obj: 0.023849, No Obj: 0.002266, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.307879, Class: 1.000000, Obj: 0.011829, No Obj: 0.002253, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.171234, Class: 1.000000, Obj: 0.019236, No Obj: 0.002303, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39739: 0.036569, 0.039190 avg loss, 0.000005 rate, 0.686089 seconds, 635824 images, 0.078451 hours left\n",
            "Loaded: 0.000051 seconds\n",
            "Region Avg IOU: 0.203758, Class: 1.000000, Obj: 0.014805, No Obj: 0.002252, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.124005, Class: 1.000000, Obj: 0.026093, No Obj: 0.002331, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.256426, Class: 1.000000, Obj: 0.008834, No Obj: 0.002368, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.271765, Class: 1.000000, Obj: 0.028039, No Obj: 0.002402, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.350582, Class: 1.000000, Obj: 0.017149, No Obj: 0.002427, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.204916, Class: 1.000000, Obj: 0.012303, No Obj: 0.002379, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.470210, Class: 1.000000, Obj: 0.019859, No Obj: 0.002302, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.182498, Class: 1.000000, Obj: 0.010169, No Obj: 0.002332, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39740: 0.084259, 0.043697 avg loss, 0.000005 rate, 0.698036 seconds, 635840 images, 0.078164 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 544 x 544 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000050 seconds\n",
            "Region Avg IOU: 0.545307, Class: 1.000000, Obj: 0.024048, No Obj: 0.002305, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.272993, Class: 1.000000, Obj: 0.032117, No Obj: 0.002324, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.498432, Class: 1.000000, Obj: 0.024611, No Obj: 0.002310, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.494026, Class: 1.000000, Obj: 0.012686, No Obj: 0.002301, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.137727, Class: 1.000000, Obj: 0.017565, No Obj: 0.002308, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.126897, Class: 1.000000, Obj: 0.016094, No Obj: 0.002293, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.128894, Class: 1.000000, Obj: 0.032424, No Obj: 0.002325, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.279002, Class: 1.000000, Obj: 0.016393, No Obj: 0.002253, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39741: 0.027422, 0.042069 avg loss, 0.000005 rate, 0.947768 seconds, 635856 images, 0.077886 hours left\n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.182794, Class: 1.000000, Obj: 0.006245, No Obj: 0.002303, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.162258, Class: 1.000000, Obj: 0.026067, No Obj: 0.002334, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.393267, Class: 1.000000, Obj: 0.017326, No Obj: 0.002312, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.185368, Class: 1.000000, Obj: 0.008165, No Obj: 0.002228, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.069325, Class: 1.000000, Obj: 0.010370, No Obj: 0.002331, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.470079, Class: 1.000000, Obj: 0.023338, No Obj: 0.002294, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.234914, Class: 1.000000, Obj: 0.015892, No Obj: 0.002372, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.213480, Class: 1.000000, Obj: 0.030187, No Obj: 0.002503, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39742: 0.273349, 0.065197 avg loss, 0.000005 rate, 1.036986 seconds, 635872 images, 0.077789 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.248787, Class: 1.000000, Obj: 0.034734, No Obj: 0.002330, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.308252, Class: 1.000000, Obj: 0.019464, No Obj: 0.002296, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.299329, Class: 1.000000, Obj: 0.017034, No Obj: 0.002346, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.242797, Class: 1.000000, Obj: 0.025112, No Obj: 0.002327, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.479441, Class: 1.000000, Obj: 0.020081, No Obj: 0.002303, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.367075, Class: 1.000000, Obj: 0.010802, No Obj: 0.002339, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.225409, Class: 1.000000, Obj: 0.029755, No Obj: 0.002391, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.268961, Class: 1.000000, Obj: 0.021104, No Obj: 0.002298, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39743: 0.016247, 0.060302 avg loss, 0.000005 rate, 1.031704 seconds, 635888 images, 0.077755 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.469772, Class: 1.000000, Obj: 0.024546, No Obj: 0.002369, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.348465, Class: 1.000000, Obj: 0.012344, No Obj: 0.002336, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.360083, Class: 1.000000, Obj: 0.016658, No Obj: 0.002345, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.351887, Class: 1.000000, Obj: 0.016201, No Obj: 0.002403, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.381424, Class: 1.000000, Obj: 0.008167, No Obj: 0.002350, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.639596, Class: 1.000000, Obj: 0.011434, No Obj: 0.002368, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.294836, Class: 1.000000, Obj: 0.030630, No Obj: 0.002438, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.184798, Class: 1.000000, Obj: 0.014477, No Obj: 0.002327, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39744: 0.016821, 0.055954 avg loss, 0.000005 rate, 1.037053 seconds, 635904 images, 0.077714 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.110815, Class: 1.000000, Obj: 0.024812, No Obj: 0.002361, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.402262, Class: 1.000000, Obj: 0.033976, No Obj: 0.002353, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.522847, Class: 1.000000, Obj: 0.021133, No Obj: 0.002267, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.384879, Class: 1.000000, Obj: 0.008064, No Obj: 0.002296, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.408777, Class: 1.000000, Obj: 0.025882, No Obj: 0.002370, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.282444, Class: 1.000000, Obj: 0.017607, No Obj: 0.002346, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.396223, Class: 1.000000, Obj: 0.011837, No Obj: 0.002369, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.373347, Class: 1.000000, Obj: 0.006829, No Obj: 0.002241, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39745: 0.045645, 0.054923 avg loss, 0.000005 rate, 1.028914 seconds, 635920 images, 0.077674 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.371069, Class: 1.000000, Obj: 0.020120, No Obj: 0.002342, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.324838, Class: 1.000000, Obj: 0.013460, No Obj: 0.002255, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.155514, Class: 1.000000, Obj: 0.012883, No Obj: 0.002349, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.505222, Class: 1.000000, Obj: 0.048203, No Obj: 0.002463, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.291658, Class: 1.000000, Obj: 0.018690, No Obj: 0.002349, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.131180, Class: 1.000000, Obj: 0.012766, No Obj: 0.002359, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.383723, Class: 1.000000, Obj: 0.018054, No Obj: 0.002319, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.235795, Class: 1.000000, Obj: 0.014978, No Obj: 0.002325, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39746: 0.033861, 0.052817 avg loss, 0.000005 rate, 1.039321 seconds, 635936 images, 0.077626 hours left\n",
            "Loaded: 0.000054 seconds\n",
            "Region Avg IOU: 0.158641, Class: 1.000000, Obj: 0.024488, No Obj: 0.002361, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.464691, Class: 1.000000, Obj: 0.017121, No Obj: 0.002285, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.281537, Class: 1.000000, Obj: 0.017848, No Obj: 0.002362, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.076130, Class: 1.000000, Obj: 0.027026, No Obj: 0.002353, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.268393, Class: 1.000000, Obj: 0.012306, No Obj: 0.002285, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.429733, Class: 1.000000, Obj: 0.015488, No Obj: 0.002318, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.274927, Class: 1.000000, Obj: 0.011819, No Obj: 0.002278, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.292356, Class: 1.000000, Obj: 0.025570, No Obj: 0.002320, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39747: 0.030597, 0.050595 avg loss, 0.000005 rate, 1.028342 seconds, 635952 images, 0.077583 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.377864, Class: 1.000000, Obj: 0.023019, No Obj: 0.002379, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.165277, Class: 1.000000, Obj: 0.015242, No Obj: 0.002351, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.402431, Class: 1.000000, Obj: 0.009516, No Obj: 0.002290, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.559851, Class: 1.000000, Obj: 0.008289, No Obj: 0.002302, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.374631, Class: 1.000000, Obj: 0.017507, No Obj: 0.002361, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.260930, Class: 1.000000, Obj: 0.032895, No Obj: 0.002370, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.544872, Class: 1.000000, Obj: 0.025635, No Obj: 0.002308, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.515123, Class: 1.000000, Obj: 0.012974, No Obj: 0.002393, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39748: 0.027629, 0.048298 avg loss, 0.000005 rate, 1.044261 seconds, 635968 images, 0.077530 hours left\n",
            "Loaded: 0.000054 seconds\n",
            "Region Avg IOU: 0.354100, Class: 1.000000, Obj: 0.018834, No Obj: 0.002344, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.234953, Class: 1.000000, Obj: 0.009765, No Obj: 0.002362, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.243075, Class: 1.000000, Obj: 0.033249, No Obj: 0.002325, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.489499, Class: 1.000000, Obj: 0.011332, No Obj: 0.002296, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.474983, Class: 1.000000, Obj: 0.013166, No Obj: 0.002217, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.371873, Class: 1.000000, Obj: 0.021657, No Obj: 0.002409, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.176578, Class: 1.000000, Obj: 0.011904, No Obj: 0.002384, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.138160, Class: 1.000000, Obj: 0.017355, No Obj: 0.002368, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39749: 0.025141, 0.045983 avg loss, 0.000005 rate, 1.023816 seconds, 635984 images, 0.077486 hours left\n",
            "Loaded: 0.000037 seconds\n",
            "Region Avg IOU: 0.278292, Class: 1.000000, Obj: 0.023788, No Obj: 0.002403, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.163354, Class: 1.000000, Obj: 0.009360, No Obj: 0.002277, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.504158, Class: 1.000000, Obj: 0.043597, No Obj: 0.002358, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.412574, Class: 1.000000, Obj: 0.025971, No Obj: 0.002332, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.310893, Class: 1.000000, Obj: 0.015394, No Obj: 0.002367, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.201475, Class: 1.000000, Obj: 0.010972, No Obj: 0.002301, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.534113, Class: 1.000000, Obj: 0.025077, No Obj: 0.002380, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.125562, Class: 1.000000, Obj: 0.015060, No Obj: 0.002330, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39750: 0.019705, 0.043355 avg loss, 0.000005 rate, 1.040567 seconds, 636000 images, 0.077425 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 384 x 384 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000054 seconds\n",
            "Region Avg IOU: 0.424873, Class: 1.000000, Obj: 0.006241, No Obj: 0.002238, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.029867, Class: 1.000000, Obj: 0.009545, No Obj: 0.002221, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.140138, Class: 1.000000, Obj: 0.011441, No Obj: 0.002282, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.046022, Class: 1.000000, Obj: 0.013367, No Obj: 0.002150, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.313987, Class: 1.000000, Obj: 0.017525, No Obj: 0.002240, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.425472, Class: 1.000000, Obj: 0.013854, No Obj: 0.002281, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.361808, Class: 1.000000, Obj: 0.020970, No Obj: 0.002236, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.062446, Class: 1.000000, Obj: 0.005026, No Obj: 0.002225, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39751: 0.018571, 0.040876 avg loss, 0.000005 rate, 0.465672 seconds, 636016 images, 0.077373 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.272382, Class: 1.000000, Obj: 0.013782, No Obj: 0.002345, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.359002, Class: 1.000000, Obj: 0.011686, No Obj: 0.002276, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.152850, Class: 1.000000, Obj: 0.020219, No Obj: 0.002250, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.087415, Class: 1.000000, Obj: 0.016128, No Obj: 0.002275, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.673601, Class: 1.000000, Obj: 0.006697, No Obj: 0.002237, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.641580, Class: 1.000000, Obj: 0.015592, No Obj: 0.002338, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.128763, Class: 1.000000, Obj: 0.013500, No Obj: 0.002232, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.010482, No Obj: 0.002278, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39752: 0.085044, 0.045293 avg loss, 0.000005 rate, 0.521778 seconds, 636032 images, 0.076922 hours left\n",
            "Loaded: 0.000052 seconds\n",
            "Region Avg IOU: 0.149141, Class: 1.000000, Obj: 0.013988, No Obj: 0.002196, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.020846, Class: 1.000000, Obj: 0.019640, No Obj: 0.002254, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.055163, Class: 1.000000, Obj: 0.023622, No Obj: 0.002382, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.205694, Class: 1.000000, Obj: 0.005454, No Obj: 0.002290, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.298822, Class: 1.000000, Obj: 0.009450, No Obj: 0.002288, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.052751, Class: 1.000000, Obj: 0.022103, No Obj: 0.002267, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.044693, Class: 1.000000, Obj: 0.014128, No Obj: 0.002226, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.028409, Class: 1.000000, Obj: 0.012833, No Obj: 0.002208, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39753: 0.019213, 0.042685 avg loss, 0.000005 rate, 0.518877 seconds, 636048 images, 0.076512 hours left\n",
            "Loaded: 0.000051 seconds\n",
            "Region Avg IOU: 0.168905, Class: 1.000000, Obj: 0.010901, No Obj: 0.002145, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.081184, Class: 1.000000, Obj: 0.012018, No Obj: 0.002240, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.016618, Class: 1.000000, Obj: 0.008850, No Obj: 0.002305, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.276890, Class: 1.000000, Obj: 0.013927, No Obj: 0.002302, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.102687, Class: 1.000000, Obj: 0.012896, No Obj: 0.002240, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.045687, Class: 1.000000, Obj: 0.029346, No Obj: 0.002227, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.337066, Class: 1.000000, Obj: 0.018220, No Obj: 0.002236, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.013990, Class: 1.000000, Obj: 0.024822, No Obj: 0.002280, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39754: 0.033736, 0.041790 avg loss, 0.000005 rate, 0.516837 seconds, 636064 images, 0.076103 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.055112, Class: 1.000000, Obj: 0.011870, No Obj: 0.002278, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.127708, Class: 1.000000, Obj: 0.014648, No Obj: 0.002231, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.227630, Class: 1.000000, Obj: 0.003213, No Obj: 0.002299, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.351765, Class: 1.000000, Obj: 0.017177, No Obj: 0.002234, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.137991, Class: 1.000000, Obj: 0.005568, No Obj: 0.002308, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.329606, Class: 1.000000, Obj: 0.010908, No Obj: 0.002319, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.036833, Class: 1.000000, Obj: 0.019523, No Obj: 0.002182, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.089859, Class: 1.000000, Obj: 0.019766, No Obj: 0.002246, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39755: 0.037924, 0.041404 avg loss, 0.000005 rate, 0.519662 seconds, 636080 images, 0.075695 hours left\n",
            "Loaded: 0.000061 seconds\n",
            "Region Avg IOU: 0.023028, Class: 1.000000, Obj: 0.019646, No Obj: 0.002285, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.180076, Class: 1.000000, Obj: 0.025341, No Obj: 0.002313, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.332110, Class: 1.000000, Obj: 0.017521, No Obj: 0.002291, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.019939, Class: 1.000000, Obj: 0.022089, No Obj: 0.002189, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.202958, Class: 1.000000, Obj: 0.011019, No Obj: 0.002218, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.052791, Class: 1.000000, Obj: 0.021698, No Obj: 0.002264, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.312887, Class: 1.000000, Obj: 0.026149, No Obj: 0.002196, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.053640, Class: 1.000000, Obj: 0.023509, No Obj: 0.002247, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39756: 0.019682, 0.039231 avg loss, 0.000005 rate, 0.519420 seconds, 636096 images, 0.075292 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.143345, Class: 1.000000, Obj: 0.006853, No Obj: 0.002280, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.224233, Class: 1.000000, Obj: 0.010594, No Obj: 0.002244, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.187934, Class: 1.000000, Obj: 0.026838, No Obj: 0.002431, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.186559, Class: 1.000000, Obj: 0.016199, No Obj: 0.002228, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.175215, Class: 1.000000, Obj: 0.018396, No Obj: 0.002247, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.224360, Class: 1.000000, Obj: 0.019205, No Obj: 0.002312, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.274671, Class: 1.000000, Obj: 0.015621, No Obj: 0.002332, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.456033, Class: 1.000000, Obj: 0.016836, No Obj: 0.002287, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39757: 0.018687, 0.037177 avg loss, 0.000005 rate, 0.522166 seconds, 636112 images, 0.074891 hours left\n",
            "Loaded: 0.000055 seconds\n",
            "Region Avg IOU: 0.266694, Class: 1.000000, Obj: 0.014992, No Obj: 0.002179, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.181955, Class: 1.000000, Obj: 0.017448, No Obj: 0.002340, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.252967, Class: 1.000000, Obj: 0.009823, No Obj: 0.002219, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.042130, Class: 1.000000, Obj: 0.016408, No Obj: 0.002214, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.065404, Class: 1.000000, Obj: 0.005995, No Obj: 0.002303, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.301399, Class: 1.000000, Obj: 0.011577, No Obj: 0.002322, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.152063, Class: 1.000000, Obj: 0.012416, No Obj: 0.002260, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.141724, Class: 1.000000, Obj: 0.020320, No Obj: 0.002239, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39758: 0.070083, 0.040468 avg loss, 0.000005 rate, 0.522970 seconds, 636128 images, 0.074495 hours left\n",
            "Loaded: 0.000043 seconds\n",
            "Region Avg IOU: 0.222595, Class: 1.000000, Obj: 0.018058, No Obj: 0.002235, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.318366, Class: 1.000000, Obj: 0.014236, No Obj: 0.002270, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.098305, Class: 1.000000, Obj: 0.009117, No Obj: 0.002346, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.154287, Class: 1.000000, Obj: 0.014215, No Obj: 0.002252, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.167177, Class: 1.000000, Obj: 0.018976, No Obj: 0.002226, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.088216, Class: 1.000000, Obj: 0.012539, No Obj: 0.002327, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.141514, Class: 1.000000, Obj: 0.021240, No Obj: 0.002308, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.249820, Class: 1.000000, Obj: 0.012590, No Obj: 0.002270, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39759: 0.062396, 0.042660 avg loss, 0.000005 rate, 0.522157 seconds, 636144 images, 0.074101 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.116200, Class: 1.000000, Obj: 0.022814, No Obj: 0.002267, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.162259, Class: 1.000000, Obj: 0.016114, No Obj: 0.002206, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.059888, Class: 1.000000, Obj: 0.025647, No Obj: 0.002211, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.398531, Class: 1.000000, Obj: 0.021713, No Obj: 0.002265, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.010999, Class: 1.000000, Obj: 0.017108, No Obj: 0.002238, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.285528, Class: 1.000000, Obj: 0.016119, No Obj: 0.002246, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.080141, Class: 1.000000, Obj: 0.016025, No Obj: 0.002256, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.150435, Class: 1.000000, Obj: 0.014113, No Obj: 0.002225, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39760: 0.025657, 0.040960 avg loss, 0.000005 rate, 0.520590 seconds, 636160 images, 0.073710 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 352 x 352 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.006808 seconds\n",
            "Region Avg IOU: 0.034727, Class: 1.000000, Obj: 0.015117, No Obj: 0.002194, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.116204, Class: 1.000000, Obj: 0.023597, No Obj: 0.002244, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.014491, No Obj: 0.002163, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.269070, Class: 1.000000, Obj: 0.012889, No Obj: 0.002233, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.126237, Class: 1.000000, Obj: 0.010462, No Obj: 0.002266, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.070556, Class: 1.000000, Obj: 0.019819, No Obj: 0.002205, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.231476, Class: 1.000000, Obj: 0.011079, No Obj: 0.002274, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.071932, Class: 1.000000, Obj: 0.025218, No Obj: 0.002242, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39761: 0.026595, 0.039524 avg loss, 0.000005 rate, 0.442347 seconds, 636176 images, 0.073320 hours left\n",
            "Loaded: 0.000054 seconds\n",
            "Region Avg IOU: 0.257980, Class: 1.000000, Obj: 0.021913, No Obj: 0.002224, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.225921, Class: 1.000000, Obj: 0.015009, No Obj: 0.002224, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.094350, Class: 1.000000, Obj: 0.007471, No Obj: 0.002102, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.017713, Class: 1.000000, Obj: 0.013156, No Obj: 0.002118, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.071426, Class: 1.000000, Obj: 0.017332, No Obj: 0.002140, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.007641, No Obj: 0.002141, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.435405, Class: 1.000000, Obj: 0.018310, No Obj: 0.002273, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.254426, Class: 1.000000, Obj: 0.018644, No Obj: 0.002315, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39762: 0.032013, 0.038772 avg loss, 0.000005 rate, 0.468774 seconds, 636192 images, 0.072885 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.218324, Class: 1.000000, Obj: 0.005490, No Obj: 0.002200, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.162247, Class: 1.000000, Obj: 0.017704, No Obj: 0.002214, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.248914, Class: 1.000000, Obj: 0.006173, No Obj: 0.002207, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.188987, Class: 1.000000, Obj: 0.015195, No Obj: 0.002176, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.015950, Class: 1.000000, Obj: 0.021303, No Obj: 0.002213, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.013547, No Obj: 0.002181, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.121912, Class: 1.000000, Obj: 0.020042, No Obj: 0.002253, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.022521, Class: 1.000000, Obj: 0.013628, No Obj: 0.002301, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39763: 0.020088, 0.036904 avg loss, 0.000005 rate, 0.468601 seconds, 636208 images, 0.072466 hours left\n",
            "Loaded: 0.000060 seconds\n",
            "Region Avg IOU: 0.137701, Class: 1.000000, Obj: 0.017797, No Obj: 0.002217, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.097241, Class: 1.000000, Obj: 0.025442, No Obj: 0.002206, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.030917, Class: 1.000000, Obj: 0.014910, No Obj: 0.002244, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.185306, Class: 1.000000, Obj: 0.010399, No Obj: 0.002195, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.056340, Class: 1.000000, Obj: 0.015727, No Obj: 0.002174, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.012074, Class: 1.000000, Obj: 0.008829, No Obj: 0.002171, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.186788, Class: 1.000000, Obj: 0.012314, No Obj: 0.002148, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.215897, Class: 1.000000, Obj: 0.014233, No Obj: 0.002258, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39764: 0.036196, 0.036833 avg loss, 0.000005 rate, 0.468095 seconds, 636224 images, 0.072050 hours left\n",
            "Loaded: 0.000043 seconds\n",
            "Region Avg IOU: 0.225002, Class: 1.000000, Obj: 0.022609, No Obj: 0.002399, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.093844, Class: 1.000000, Obj: 0.009373, No Obj: 0.002214, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.041961, Class: 1.000000, Obj: 0.007018, No Obj: 0.002139, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.101102, Class: 1.000000, Obj: 0.012430, No Obj: 0.002142, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.090545, Class: 1.000000, Obj: 0.006214, No Obj: 0.002269, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.055095, Class: 1.000000, Obj: 0.013879, No Obj: 0.002204, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.185953, Class: 1.000000, Obj: 0.006546, No Obj: 0.002299, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.061126, Class: 1.000000, Obj: 0.012023, No Obj: 0.002312, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39765: 0.044937, 0.037644 avg loss, 0.000005 rate, 0.470387 seconds, 636240 images, 0.071636 hours left\n",
            "Loaded: 0.000046 seconds\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.017285, No Obj: 0.002235, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.046180, Class: 1.000000, Obj: 0.016475, No Obj: 0.002253, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.429590, Class: 1.000000, Obj: 0.016763, No Obj: 0.002218, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.185993, Class: 1.000000, Obj: 0.014890, No Obj: 0.002199, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.424163, Class: 1.000000, Obj: 0.011761, No Obj: 0.002228, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.021528, Class: 1.000000, Obj: 0.005379, No Obj: 0.002250, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.207553, Class: 1.000000, Obj: 0.009804, No Obj: 0.002202, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.167478, Class: 1.000000, Obj: 0.016189, No Obj: 0.002238, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39766: 0.028785, 0.036758 avg loss, 0.000005 rate, 0.468139 seconds, 636256 images, 0.071227 hours left\n",
            "Loaded: 0.000054 seconds\n",
            "Region Avg IOU: 0.070321, Class: 1.000000, Obj: 0.015713, No Obj: 0.002205, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.025436, Class: 1.000000, Obj: 0.010947, No Obj: 0.002217, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.289012, Class: 1.000000, Obj: 0.017034, No Obj: 0.002353, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.501863, Class: 1.000000, Obj: 0.016408, No Obj: 0.002217, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.068395, Class: 1.000000, Obj: 0.010155, No Obj: 0.002201, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.033671, Class: 1.000000, Obj: 0.016902, No Obj: 0.002152, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.056513, Class: 1.000000, Obj: 0.016028, No Obj: 0.002233, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.090158, Class: 1.000000, Obj: 0.015060, No Obj: 0.002313, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39767: 0.034310, 0.036513 avg loss, 0.000005 rate, 0.479223 seconds, 636272 images, 0.070819 hours left\n",
            "Loaded: 0.000066 seconds\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.021388, No Obj: 0.002225, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.344757, Class: 1.000000, Obj: 0.008170, No Obj: 0.002233, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.161608, Class: 1.000000, Obj: 0.014022, No Obj: 0.002232, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.243021, Class: 1.000000, Obj: 0.010014, No Obj: 0.002359, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.048995, Class: 1.000000, Obj: 0.014922, No Obj: 0.002176, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.043221, Class: 1.000000, Obj: 0.012987, No Obj: 0.002227, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.282485, Class: 1.000000, Obj: 0.009477, No Obj: 0.002179, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.116625, Class: 1.000000, Obj: 0.014044, No Obj: 0.002188, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39768: 0.021459, 0.035007 avg loss, 0.000005 rate, 0.463572 seconds, 636288 images, 0.070421 hours left\n",
            "Loaded: 0.000061 seconds\n",
            "Region Avg IOU: 0.273913, Class: 1.000000, Obj: 0.010675, No Obj: 0.002297, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.150156, Class: 1.000000, Obj: 0.013488, No Obj: 0.002319, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.068954, Class: 1.000000, Obj: 0.009153, No Obj: 0.002154, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.224991, Class: 1.000000, Obj: 0.013589, No Obj: 0.002187, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.706438, Class: 1.000000, Obj: 0.010797, No Obj: 0.002183, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.209900, Class: 1.000000, Obj: 0.014777, No Obj: 0.002189, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.012312, Class: 1.000000, Obj: 0.017296, No Obj: 0.002223, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.018035, No Obj: 0.002147, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39769: 0.029527, 0.034459 avg loss, 0.000005 rate, 0.469271 seconds, 636304 images, 0.070016 hours left\n",
            "Loaded: 0.000055 seconds\n",
            "Region Avg IOU: 0.255005, Class: 1.000000, Obj: 0.014924, No Obj: 0.002206, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.123981, Class: 1.000000, Obj: 0.018159, No Obj: 0.002228, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.111400, Class: 1.000000, Obj: 0.023467, No Obj: 0.002246, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.078300, Class: 1.000000, Obj: 0.009698, No Obj: 0.002219, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.013939, Class: 1.000000, Obj: 0.016906, No Obj: 0.002179, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.103753, Class: 1.000000, Obj: 0.009365, No Obj: 0.002272, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.089932, Class: 1.000000, Obj: 0.007688, No Obj: 0.002196, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.298591, Class: 1.000000, Obj: 0.016596, No Obj: 0.002219, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39770: 0.019638, 0.032977 avg loss, 0.000005 rate, 0.469764 seconds, 636320 images, 0.069617 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 448 x 448 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.130634, Class: 1.000000, Obj: 0.024889, No Obj: 0.002381, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.108498, Class: 1.000000, Obj: 0.025179, No Obj: 0.002316, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.137526, Class: 1.000000, Obj: 0.016563, No Obj: 0.002361, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.081856, Class: 1.000000, Obj: 0.015374, No Obj: 0.002344, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.231753, Class: 1.000000, Obj: 0.008046, No Obj: 0.002333, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.024854, Class: 1.000000, Obj: 0.023041, No Obj: 0.002382, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.088508, Class: 1.000000, Obj: 0.012164, No Obj: 0.002369, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.151858, Class: 1.000000, Obj: 0.026900, No Obj: 0.002323, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39771: 0.019914, 0.031671 avg loss, 0.000005 rate, 0.569794 seconds, 636336 images, 0.069221 hours left\n",
            "Loaded: 0.000047 seconds\n",
            "Region Avg IOU: 0.005302, Class: 1.000000, Obj: 0.017726, No Obj: 0.002291, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.354101, Class: 1.000000, Obj: 0.020610, No Obj: 0.002329, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.283485, Class: 1.000000, Obj: 0.017736, No Obj: 0.002312, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.108352, Class: 1.000000, Obj: 0.023237, No Obj: 0.002351, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.210211, Class: 1.000000, Obj: 0.016584, No Obj: 0.002293, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.288201, Class: 1.000000, Obj: 0.031432, No Obj: 0.002313, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.338241, Class: 1.000000, Obj: 0.013227, No Obj: 0.002246, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.092981, Class: 1.000000, Obj: 0.011231, No Obj: 0.002359, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39772: 0.017416, 0.030245 avg loss, 0.000005 rate, 0.634408 seconds, 636352 images, 0.068891 hours left\n",
            "Loaded: 0.000051 seconds\n",
            "Region Avg IOU: 0.354756, Class: 1.000000, Obj: 0.013449, No Obj: 0.002321, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.326613, Class: 1.000000, Obj: 0.015481, No Obj: 0.002311, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.353855, Class: 1.000000, Obj: 0.012361, No Obj: 0.002301, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.063893, Class: 1.000000, Obj: 0.013008, No Obj: 0.002394, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.219453, Class: 1.000000, Obj: 0.015391, No Obj: 0.002347, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.086578, Class: 1.000000, Obj: 0.029861, No Obj: 0.002388, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.204647, Class: 1.000000, Obj: 0.011337, No Obj: 0.002331, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.494701, Class: 1.000000, Obj: 0.015799, No Obj: 0.002370, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39773: 0.050698, 0.032291 avg loss, 0.000005 rate, 0.630992 seconds, 636368 images, 0.068604 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.192386, Class: 1.000000, Obj: 0.009276, No Obj: 0.002318, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.116270, Class: 1.000000, Obj: 0.020193, No Obj: 0.002378, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.119488, Class: 1.000000, Obj: 0.011289, No Obj: 0.002334, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.118611, Class: 1.000000, Obj: 0.030569, No Obj: 0.002223, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.289106, Class: 1.000000, Obj: 0.020928, No Obj: 0.002366, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.462753, Class: 1.000000, Obj: 0.009975, No Obj: 0.002389, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.160477, Class: 1.000000, Obj: 0.017672, No Obj: 0.002333, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.277997, Class: 1.000000, Obj: 0.011110, No Obj: 0.002357, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39774: 0.045821, 0.033644 avg loss, 0.000005 rate, 0.638355 seconds, 636384 images, 0.068316 hours left\n",
            "Loaded: 0.000031 seconds\n",
            "Region Avg IOU: 0.159918, Class: 1.000000, Obj: 0.019082, No Obj: 0.002265, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.406715, Class: 1.000000, Obj: 0.008063, No Obj: 0.002353, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.132477, Class: 1.000000, Obj: 0.007387, No Obj: 0.002373, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.237915, Class: 1.000000, Obj: 0.008943, No Obj: 0.002300, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.154878, Class: 1.000000, Obj: 0.030979, No Obj: 0.002515, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.432276, Class: 1.000000, Obj: 0.027661, No Obj: 0.002346, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.057546, Class: 1.000000, Obj: 0.028099, No Obj: 0.002367, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.073694, Class: 1.000000, Obj: 0.005385, No Obj: 0.002287, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39775: 0.037599, 0.034039 avg loss, 0.000005 rate, 0.634499 seconds, 636400 images, 0.068033 hours left\n",
            "Loaded: 0.000038 seconds\n",
            "Region Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.002312, Avg Recall: -nan,  count: 0\n",
            "Region Avg IOU: 0.151880, Class: 1.000000, Obj: 0.034346, No Obj: 0.002353, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.256154, Class: 1.000000, Obj: 0.014018, No Obj: 0.002376, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.194086, Class: 1.000000, Obj: 0.016844, No Obj: 0.002343, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.235658, Class: 1.000000, Obj: 0.011196, No Obj: 0.002330, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.236252, Class: 1.000000, Obj: 0.006913, No Obj: 0.002262, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.219555, Class: 1.000000, Obj: 0.007798, No Obj: 0.002279, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.451803, Class: 1.000000, Obj: 0.025466, No Obj: 0.002310, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39776: 0.014142, 0.032049 avg loss, 0.000005 rate, 0.631733 seconds, 636416 images, 0.067750 hours left\n",
            "Loaded: 0.000047 seconds\n",
            "Region Avg IOU: 0.303310, Class: 1.000000, Obj: 0.022754, No Obj: 0.002383, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.213325, Class: 1.000000, Obj: 0.013935, No Obj: 0.002314, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.142702, Class: 1.000000, Obj: 0.013480, No Obj: 0.002335, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.577645, Class: 1.000000, Obj: 0.025631, No Obj: 0.002320, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.102371, Class: 1.000000, Obj: 0.007622, No Obj: 0.002291, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.576061, Class: 1.000000, Obj: 0.028133, No Obj: 0.002398, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.278067, Class: 1.000000, Obj: 0.015178, No Obj: 0.002310, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.237099, Class: 1.000000, Obj: 0.006864, No Obj: 0.002264, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39777: 0.210931, 0.049938 avg loss, 0.000005 rate, 0.634278 seconds, 636432 images, 0.067465 hours left\n",
            "Loaded: 0.000054 seconds\n",
            "Region Avg IOU: 0.176631, Class: 1.000000, Obj: 0.012755, No Obj: 0.002372, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.255571, Class: 1.000000, Obj: 0.011230, No Obj: 0.002210, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.370437, Class: 1.000000, Obj: 0.017784, No Obj: 0.002317, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.343819, Class: 1.000000, Obj: 0.018496, No Obj: 0.002373, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.202764, Class: 1.000000, Obj: 0.022551, No Obj: 0.002413, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.269296, Class: 1.000000, Obj: 0.030312, No Obj: 0.002325, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.255439, Class: 1.000000, Obj: 0.021095, No Obj: 0.002315, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.132466, Class: 1.000000, Obj: 0.016338, No Obj: 0.002341, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39778: 0.021092, 0.047053 avg loss, 0.000005 rate, 0.645419 seconds, 636448 images, 0.067183 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.117701, Class: 1.000000, Obj: 0.013702, No Obj: 0.002371, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.089406, Class: 1.000000, Obj: 0.014295, No Obj: 0.002350, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.136190, Class: 1.000000, Obj: 0.014280, No Obj: 0.002303, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.115744, Class: 1.000000, Obj: 0.008171, No Obj: 0.002321, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.304215, Class: 1.000000, Obj: 0.027201, No Obj: 0.002332, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.165660, Class: 1.000000, Obj: 0.013497, No Obj: 0.002423, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.571650, Class: 1.000000, Obj: 0.013673, No Obj: 0.002382, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.372937, Class: 1.000000, Obj: 0.020052, No Obj: 0.002381, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39779: 0.061741, 0.048522 avg loss, 0.000005 rate, 0.634081 seconds, 636464 images, 0.066910 hours left\n",
            "Loaded: 0.000057 seconds\n",
            "Region Avg IOU: 0.136406, Class: 1.000000, Obj: 0.013917, No Obj: 0.002316, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.268555, Class: 1.000000, Obj: 0.008402, No Obj: 0.002355, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.085907, Class: 1.000000, Obj: 0.011202, No Obj: 0.002348, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.066048, Class: 1.000000, Obj: 0.013435, No Obj: 0.002325, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.258476, Class: 1.000000, Obj: 0.005023, No Obj: 0.002331, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.241110, Class: 1.000000, Obj: 0.017611, No Obj: 0.002311, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.070718, Class: 1.000000, Obj: 0.008470, No Obj: 0.002304, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.375188, Class: 1.000000, Obj: 0.015630, No Obj: 0.002268, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39780: 0.031566, 0.046826 avg loss, 0.000005 rate, 0.631810 seconds, 636480 images, 0.066630 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 416 x 416 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000051 seconds\n",
            "Region Avg IOU: 0.320893, Class: 1.000000, Obj: 0.013107, No Obj: 0.002296, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.140048, Class: 1.000000, Obj: 0.015880, No Obj: 0.002269, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.295790, Class: 1.000000, Obj: 0.009576, No Obj: 0.002146, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.071729, Class: 1.000000, Obj: 0.005691, No Obj: 0.002301, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.080870, Class: 1.000000, Obj: 0.026438, No Obj: 0.002267, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.033453, Class: 1.000000, Obj: 0.011423, No Obj: 0.002324, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.186191, Class: 1.000000, Obj: 0.018028, No Obj: 0.002298, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.092555, Class: 1.000000, Obj: 0.025779, No Obj: 0.002278, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39781: 0.125308, 0.054674 avg loss, 0.000005 rate, 0.529572 seconds, 636496 images, 0.066350 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.323391, Class: 1.000000, Obj: 0.019062, No Obj: 0.002230, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.267469, Class: 1.000000, Obj: 0.014891, No Obj: 0.002232, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.096093, Class: 1.000000, Obj: 0.014480, No Obj: 0.002212, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.170982, Class: 1.000000, Obj: 0.014702, No Obj: 0.002342, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.205844, Class: 1.000000, Obj: 0.015017, No Obj: 0.002357, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.096678, Class: 1.000000, Obj: 0.018451, No Obj: 0.002218, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.181882, Class: 1.000000, Obj: 0.012298, No Obj: 0.002347, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.469340, Class: 1.000000, Obj: 0.015108, No Obj: 0.002277, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39782: 0.018269, 0.051034 avg loss, 0.000005 rate, 0.588715 seconds, 636512 images, 0.066008 hours left\n",
            "Loaded: 0.000034 seconds\n",
            "Region Avg IOU: 0.224979, Class: 1.000000, Obj: 0.025288, No Obj: 0.002252, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.378036, Class: 1.000000, Obj: 0.008186, No Obj: 0.002263, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.171192, Class: 1.000000, Obj: 0.018506, No Obj: 0.002192, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.281308, Class: 1.000000, Obj: 0.012664, No Obj: 0.002340, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.008330, Class: 1.000000, Obj: 0.010964, No Obj: 0.002337, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.044162, Class: 1.000000, Obj: 0.009771, No Obj: 0.002258, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.177880, Class: 1.000000, Obj: 0.018835, No Obj: 0.002273, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.333857, Class: 1.000000, Obj: 0.020581, No Obj: 0.002373, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39783: 0.185350, 0.064465 avg loss, 0.000005 rate, 0.583852 seconds, 636528 images, 0.065705 hours left\n",
            "Loaded: 0.000043 seconds\n",
            "Region Avg IOU: 0.169802, Class: 1.000000, Obj: 0.020352, No Obj: 0.002315, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.078141, Class: 1.000000, Obj: 0.015461, No Obj: 0.002350, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.266543, Class: 1.000000, Obj: 0.035608, No Obj: 0.002274, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.024820, Class: 1.000000, Obj: 0.012985, No Obj: 0.002240, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.240441, Class: 1.000000, Obj: 0.003349, No Obj: 0.002302, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.292233, Class: 1.000000, Obj: 0.027808, No Obj: 0.002297, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.087357, Class: 1.000000, Obj: 0.017482, No Obj: 0.002216, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.030329, Class: 1.000000, Obj: 0.021175, No Obj: 0.002335, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39784: 0.018584, 0.059877 avg loss, 0.000005 rate, 0.586223 seconds, 636544 images, 0.065400 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.239654, Class: 1.000000, Obj: 0.011668, No Obj: 0.002285, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.140351, Class: 1.000000, Obj: 0.018097, No Obj: 0.002423, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.133169, Class: 1.000000, Obj: 0.023425, No Obj: 0.002361, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.290563, Class: 1.000000, Obj: 0.017230, No Obj: 0.002316, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.183765, Class: 1.000000, Obj: 0.019621, No Obj: 0.002353, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.019007, Class: 1.000000, Obj: 0.023872, No Obj: 0.002266, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.157252, Class: 1.000000, Obj: 0.021978, No Obj: 0.002311, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.104141, Class: 1.000000, Obj: 0.014158, No Obj: 0.002256, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39785: 0.017085, 0.055598 avg loss, 0.000005 rate, 0.586018 seconds, 636560 images, 0.065098 hours left\n",
            "Loaded: 0.000051 seconds\n",
            "Region Avg IOU: 0.160804, Class: 1.000000, Obj: 0.021376, No Obj: 0.002403, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.102225, Class: 1.000000, Obj: 0.008522, No Obj: 0.002221, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.238417, Class: 1.000000, Obj: 0.004827, No Obj: 0.002309, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.174022, Class: 1.000000, Obj: 0.009539, No Obj: 0.002360, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.066525, Class: 1.000000, Obj: 0.017698, No Obj: 0.002265, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.061664, Class: 1.000000, Obj: 0.012115, No Obj: 0.002249, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.149396, Class: 1.000000, Obj: 0.021984, No Obj: 0.002309, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.049020, Class: 1.000000, Obj: 0.022414, No Obj: 0.002288, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39786: 0.026967, 0.052735 avg loss, 0.000005 rate, 0.582524 seconds, 636576 images, 0.064797 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.147265, Class: 1.000000, Obj: 0.026774, No Obj: 0.002281, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.225421, Class: 1.000000, Obj: 0.007050, No Obj: 0.002315, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.060097, Class: 1.000000, Obj: 0.017358, No Obj: 0.002259, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.116816, Class: 1.000000, Obj: 0.020580, No Obj: 0.002339, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.075461, Class: 1.000000, Obj: 0.018259, No Obj: 0.002362, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.055277, Class: 1.000000, Obj: 0.015591, No Obj: 0.002255, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.257431, Class: 1.000000, Obj: 0.021377, No Obj: 0.002359, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.333794, Class: 1.000000, Obj: 0.004900, No Obj: 0.002258, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39787: 0.028709, 0.050332 avg loss, 0.000005 rate, 0.591788 seconds, 636592 images, 0.064495 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.428180, Class: 1.000000, Obj: 0.012432, No Obj: 0.002402, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.128914, Class: 1.000000, Obj: 0.014463, No Obj: 0.002292, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.290902, Class: 1.000000, Obj: 0.028183, No Obj: 0.002253, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.167548, Class: 1.000000, Obj: 0.011720, No Obj: 0.002314, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.229672, Class: 1.000000, Obj: 0.010925, No Obj: 0.002344, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.283109, Class: 1.000000, Obj: 0.010316, No Obj: 0.002345, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.196059, Class: 1.000000, Obj: 0.015222, No Obj: 0.002272, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.213696, Class: 1.000000, Obj: 0.025449, No Obj: 0.002374, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39788: 0.023293, 0.047628 avg loss, 0.000005 rate, 0.583437 seconds, 636608 images, 0.064200 hours left\n",
            "Loaded: 0.000055 seconds\n",
            "Region Avg IOU: 0.023793, Class: 1.000000, Obj: 0.015470, No Obj: 0.002201, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.058898, Class: 1.000000, Obj: 0.018866, No Obj: 0.002280, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.041176, Class: 1.000000, Obj: 0.019000, No Obj: 0.002258, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.002872, Class: 1.000000, Obj: 0.015341, No Obj: 0.002200, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.180611, Class: 1.000000, Obj: 0.012365, No Obj: 0.002259, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.251030, Class: 1.000000, Obj: 0.008832, No Obj: 0.002316, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.163690, Class: 1.000000, Obj: 0.013314, No Obj: 0.002251, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.148179, Class: 1.000000, Obj: 0.016988, No Obj: 0.002282, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39789: 0.016848, 0.044550 avg loss, 0.000005 rate, 0.585928 seconds, 636624 images, 0.063902 hours left\n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.237028, Class: 1.000000, Obj: 0.010150, No Obj: 0.002318, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.100623, Class: 1.000000, Obj: 0.008807, No Obj: 0.002266, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.168066, Class: 1.000000, Obj: 0.010093, No Obj: 0.002315, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.338598, Class: 1.000000, Obj: 0.012712, No Obj: 0.002374, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.013075, No Obj: 0.002231, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.319748, Class: 1.000000, Obj: 0.009420, No Obj: 0.002339, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.091812, Class: 1.000000, Obj: 0.017262, No Obj: 0.002251, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.067408, Class: 1.000000, Obj: 0.008250, No Obj: 0.002319, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39790: 0.108616, 0.050957 avg loss, 0.000005 rate, 0.584138 seconds, 636640 images, 0.063606 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 448 x 448 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.141430, Class: 1.000000, Obj: 0.013299, No Obj: 0.002324, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.310356, Class: 1.000000, Obj: 0.026505, No Obj: 0.002335, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.074461, Class: 1.000000, Obj: 0.007137, No Obj: 0.002308, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.119246, Class: 1.000000, Obj: 0.023576, No Obj: 0.002326, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.006079, Class: 1.000000, Obj: 0.023058, No Obj: 0.002308, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.226862, Class: 1.000000, Obj: 0.009461, No Obj: 0.002438, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.147279, Class: 1.000000, Obj: 0.013986, No Obj: 0.002302, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.262354, Class: 1.000000, Obj: 0.021343, No Obj: 0.002268, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39791: 0.046546, 0.050516 avg loss, 0.000005 rate, 0.577031 seconds, 636656 images, 0.063311 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.164126, Class: 1.000000, Obj: 0.007439, No Obj: 0.002265, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.170660, Class: 1.000000, Obj: 0.025545, No Obj: 0.002302, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.129032, Class: 1.000000, Obj: 0.017244, No Obj: 0.002246, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.346969, Class: 1.000000, Obj: 0.022933, No Obj: 0.002326, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.402663, Class: 1.000000, Obj: 0.015943, No Obj: 0.002304, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.222362, Class: 1.000000, Obj: 0.023076, No Obj: 0.002305, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.077917, Class: 1.000000, Obj: 0.031285, No Obj: 0.002335, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.040815, Class: 1.000000, Obj: 0.017858, No Obj: 0.002308, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39792: 0.017362, 0.047201 avg loss, 0.000005 rate, 0.632155 seconds, 636672 images, 0.063013 hours left\n",
            "Loaded: 0.000051 seconds\n",
            "Region Avg IOU: 0.301778, Class: 1.000000, Obj: 0.049525, No Obj: 0.002428, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.546600, Class: 1.000000, Obj: 0.016556, No Obj: 0.002240, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.067834, Class: 1.000000, Obj: 0.006847, No Obj: 0.002345, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.117022, Class: 1.000000, Obj: 0.010184, No Obj: 0.002313, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.149021, Class: 1.000000, Obj: 0.030523, No Obj: 0.002424, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.171282, Class: 1.000000, Obj: 0.020320, No Obj: 0.002328, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.016570, No Obj: 0.002272, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.089235, Class: 1.000000, Obj: 0.036719, No Obj: 0.002361, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39793: 0.017802, 0.044261 avg loss, 0.000005 rate, 0.632816 seconds, 636688 images, 0.062748 hours left\n",
            "Loaded: 0.000052 seconds\n",
            "Region Avg IOU: 0.167009, Class: 1.000000, Obj: 0.007334, No Obj: 0.002285, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.029791, Class: 1.000000, Obj: 0.012208, No Obj: 0.002183, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.207517, Class: 1.000000, Obj: 0.021968, No Obj: 0.002302, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.410819, Class: 1.000000, Obj: 0.064034, No Obj: 0.002392, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.246326, Class: 1.000000, Obj: 0.024210, No Obj: 0.002346, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.252234, Class: 1.000000, Obj: 0.015106, No Obj: 0.002296, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.329380, Class: 1.000000, Obj: 0.014868, No Obj: 0.002335, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.187746, Class: 1.000000, Obj: 0.008850, No Obj: 0.002360, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39794: 0.016299, 0.041465 avg loss, 0.000005 rate, 0.633095 seconds, 636704 images, 0.062484 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.050299, Class: 1.000000, Obj: 0.019569, No Obj: 0.002264, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.010713, Class: 1.000000, Obj: 0.027560, No Obj: 0.002311, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.108360, Class: 1.000000, Obj: 0.033038, No Obj: 0.002314, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.219251, Class: 1.000000, Obj: 0.004178, No Obj: 0.002374, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.036373, Class: 1.000000, Obj: 0.016569, No Obj: 0.002277, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.213229, Class: 1.000000, Obj: 0.016656, No Obj: 0.002316, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.105435, Class: 1.000000, Obj: 0.023303, No Obj: 0.002337, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.039647, Class: 1.000000, Obj: 0.012279, No Obj: 0.002386, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39795: 0.013752, 0.038693 avg loss, 0.000005 rate, 0.628961 seconds, 636720 images, 0.062222 hours left\n",
            "Loaded: 0.000039 seconds\n",
            "Region Avg IOU: 0.097669, Class: 1.000000, Obj: 0.021486, No Obj: 0.002337, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.287644, Class: 1.000000, Obj: 0.018841, No Obj: 0.002358, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.067089, Class: 1.000000, Obj: 0.007369, No Obj: 0.002304, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.316440, Class: 1.000000, Obj: 0.039580, No Obj: 0.002364, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.403108, Class: 1.000000, Obj: 0.019657, No Obj: 0.002332, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.388903, Class: 1.000000, Obj: 0.017421, No Obj: 0.002346, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.316792, Class: 1.000000, Obj: 0.008149, No Obj: 0.002320, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.174630, Class: 1.000000, Obj: 0.012704, No Obj: 0.002294, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39796: 0.018702, 0.036694 avg loss, 0.000005 rate, 0.634580 seconds, 636736 images, 0.061958 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.174370, Class: 1.000000, Obj: 0.005719, No Obj: 0.002299, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000243, Class: 1.000000, Obj: 0.030761, No Obj: 0.002320, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.420617, Class: 1.000000, Obj: 0.015716, No Obj: 0.002314, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.276706, Class: 1.000000, Obj: 0.011847, No Obj: 0.002378, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.222169, Class: 1.000000, Obj: 0.018095, No Obj: 0.002332, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.158994, Class: 1.000000, Obj: 0.009180, No Obj: 0.002403, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.119636, Class: 1.000000, Obj: 0.016417, No Obj: 0.002353, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.570533, Class: 1.000000, Obj: 0.017498, No Obj: 0.002277, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39797: 0.025168, 0.035542 avg loss, 0.000005 rate, 0.632945 seconds, 636752 images, 0.061698 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.225717, Class: 1.000000, Obj: 0.021120, No Obj: 0.002338, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.199746, Class: 1.000000, Obj: 0.011046, No Obj: 0.002357, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.104455, Class: 1.000000, Obj: 0.013797, No Obj: 0.002279, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.606501, Class: 1.000000, Obj: 0.011859, No Obj: 0.002365, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.335720, Class: 1.000000, Obj: 0.019101, No Obj: 0.002368, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.151403, Class: 1.000000, Obj: 0.009288, No Obj: 0.002342, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.271499, Class: 1.000000, Obj: 0.004036, No Obj: 0.002381, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.404632, Class: 1.000000, Obj: 0.029739, No Obj: 0.002275, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39798: 0.014613, 0.033449 avg loss, 0.000005 rate, 0.633742 seconds, 636768 images, 0.061438 hours left\n",
            "Loaded: 0.000056 seconds\n",
            "Region Avg IOU: 0.055686, Class: 1.000000, Obj: 0.016607, No Obj: 0.002311, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.119876, Class: 1.000000, Obj: 0.024630, No Obj: 0.002337, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.072321, Class: 1.000000, Obj: 0.012170, No Obj: 0.002359, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.826388, Class: 1.000000, Obj: 0.007592, No Obj: 0.002310, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.136830, Class: 1.000000, Obj: 0.008227, No Obj: 0.002317, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.292026, Class: 1.000000, Obj: 0.040239, No Obj: 0.002415, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.206902, Class: 1.000000, Obj: 0.018634, No Obj: 0.002310, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.106548, Class: 1.000000, Obj: 0.013708, No Obj: 0.002301, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39799: 0.027976, 0.032901 avg loss, 0.000005 rate, 0.631765 seconds, 636784 images, 0.061179 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.216353, Class: 1.000000, Obj: 0.009562, No Obj: 0.002313, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.405130, Class: 1.000000, Obj: 0.011098, No Obj: 0.002327, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.135482, Class: 1.000000, Obj: 0.018619, No Obj: 0.002271, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.132193, Class: 1.000000, Obj: 0.010085, No Obj: 0.002272, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.379847, Class: 1.000000, Obj: 0.012580, No Obj: 0.002340, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.327451, Class: 1.000000, Obj: 0.028052, No Obj: 0.002382, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.197271, Class: 1.000000, Obj: 0.011375, No Obj: 0.002428, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.201688, Class: 1.000000, Obj: 0.022322, No Obj: 0.002326, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39800: 0.018160, 0.031427 avg loss, 0.000005 rate, 0.630712 seconds, 636800 images, 0.060920 hours left\n",
            "Saving weights to /content/drive/MyDrive/Yolov4/backup/yolov4Custom_last.weights\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 608 x 608 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.447438, Class: 1.000000, Obj: 0.012444, No Obj: 0.002273, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.487366, Class: 1.000000, Obj: 0.018870, No Obj: 0.002281, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.248216, Class: 1.000000, Obj: 0.015267, No Obj: 0.002305, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.209284, Class: 1.000000, Obj: 0.024798, No Obj: 0.002363, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.670862, Class: 1.000000, Obj: 0.013339, No Obj: 0.002273, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.233343, Class: 1.000000, Obj: 0.014825, No Obj: 0.002248, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.292343, Class: 1.000000, Obj: 0.017389, No Obj: 0.002322, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.287562, Class: 1.000000, Obj: 0.014705, No Obj: 0.002358, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39801: 0.022469, 0.030531 avg loss, 0.000005 rate, 1.088961 seconds, 636816 images, 0.060661 hours left\n",
            "Loaded: 0.000057 seconds\n",
            "Region Avg IOU: 0.352457, Class: 1.000000, Obj: 0.012514, No Obj: 0.002301, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.343010, Class: 1.000000, Obj: 0.027199, No Obj: 0.002333, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.134133, Class: 1.000000, Obj: 0.006899, No Obj: 0.002260, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.325280, Class: 1.000000, Obj: 0.011009, No Obj: 0.002331, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.267401, Class: 1.000000, Obj: 0.022386, No Obj: 0.002368, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.078301, Class: 1.000000, Obj: 0.025019, No Obj: 0.002337, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.434516, Class: 1.000000, Obj: 0.006296, No Obj: 0.002331, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.317776, Class: 1.000000, Obj: 0.024569, No Obj: 0.002372, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39802: 0.035343, 0.031013 avg loss, 0.000005 rate, 1.182447 seconds, 636832 images, 0.060657 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.351824, Class: 1.000000, Obj: 0.024959, No Obj: 0.002320, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.370335, Class: 1.000000, Obj: 0.010337, No Obj: 0.002337, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.501539, Class: 1.000000, Obj: 0.005292, No Obj: 0.002268, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.423595, Class: 1.000000, Obj: 0.024190, No Obj: 0.002276, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.279540, Class: 1.000000, Obj: 0.011327, No Obj: 0.002317, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.186004, Class: 1.000000, Obj: 0.008691, No Obj: 0.002274, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.187886, Class: 1.000000, Obj: 0.026868, No Obj: 0.002387, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.285040, Class: 1.000000, Obj: 0.023939, No Obj: 0.002347, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39803: 0.026046, 0.030516 avg loss, 0.000005 rate, 1.169723 seconds, 636848 images, 0.060701 hours left\n",
            "Loaded: 0.000054 seconds\n",
            "Region Avg IOU: 0.494269, Class: 1.000000, Obj: 0.020310, No Obj: 0.002365, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.309957, Class: 1.000000, Obj: 0.013100, No Obj: 0.002282, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.439874, Class: 1.000000, Obj: 0.019260, No Obj: 0.002327, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.242494, Class: 1.000000, Obj: 0.021397, No Obj: 0.002331, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.430568, Class: 1.000000, Obj: 0.039841, No Obj: 0.002336, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.154446, Class: 1.000000, Obj: 0.012477, No Obj: 0.002317, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.262017, Class: 1.000000, Obj: 0.015422, No Obj: 0.002325, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.348708, Class: 1.000000, Obj: 0.030835, No Obj: 0.002337, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39804: 0.096549, 0.037119 avg loss, 0.000005 rate, 1.181044 seconds, 636864 images, 0.060734 hours left\n",
            "Loaded: 0.000046 seconds\n",
            "Region Avg IOU: 0.132563, Class: 1.000000, Obj: 0.021177, No Obj: 0.002326, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.391370, Class: 1.000000, Obj: 0.013698, No Obj: 0.002292, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.220568, Class: 1.000000, Obj: 0.018501, No Obj: 0.002361, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.384440, Class: 1.000000, Obj: 0.003574, No Obj: 0.002215, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.202421, Class: 1.000000, Obj: 0.024226, No Obj: 0.002337, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.293744, Class: 1.000000, Obj: 0.007546, No Obj: 0.002314, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.191578, Class: 1.000000, Obj: 0.018536, No Obj: 0.002289, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.488400, Class: 1.000000, Obj: 0.008627, No Obj: 0.002278, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39805: 0.060893, 0.039497 avg loss, 0.000005 rate, 1.170391 seconds, 636880 images, 0.060769 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.274608, Class: 1.000000, Obj: 0.011629, No Obj: 0.002334, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.240353, Class: 1.000000, Obj: 0.009021, No Obj: 0.002272, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.310299, Class: 1.000000, Obj: 0.030240, No Obj: 0.002331, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.223388, Class: 1.000000, Obj: 0.020626, No Obj: 0.002330, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.333056, Class: 1.000000, Obj: 0.020600, No Obj: 0.002270, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.096353, Class: 1.000000, Obj: 0.013956, No Obj: 0.002226, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.103205, Class: 1.000000, Obj: 0.032993, No Obj: 0.002321, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.411402, Class: 1.000000, Obj: 0.013750, No Obj: 0.002199, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39806: 0.024518, 0.037999 avg loss, 0.000005 rate, 1.179797 seconds, 636896 images, 0.060796 hours left\n",
            "Loaded: 0.000051 seconds\n",
            "Region Avg IOU: 0.373059, Class: 1.000000, Obj: 0.012947, No Obj: 0.002326, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.297676, Class: 1.000000, Obj: 0.016500, No Obj: 0.002306, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.374983, Class: 1.000000, Obj: 0.005587, No Obj: 0.002304, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.275781, Class: 1.000000, Obj: 0.019588, No Obj: 0.002356, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.227372, Class: 1.000000, Obj: 0.021879, No Obj: 0.002318, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.447051, Class: 1.000000, Obj: 0.036148, No Obj: 0.002361, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.458582, Class: 1.000000, Obj: 0.014598, No Obj: 0.002308, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.317142, Class: 1.000000, Obj: 0.026948, No Obj: 0.002338, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39807: 0.021022, 0.036301 avg loss, 0.000005 rate, 1.179661 seconds, 636912 images, 0.060824 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.381623, Class: 1.000000, Obj: 0.017990, No Obj: 0.002357, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.307085, Class: 1.000000, Obj: 0.006364, No Obj: 0.002285, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.196886, Class: 1.000000, Obj: 0.011700, No Obj: 0.002235, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.336896, Class: 1.000000, Obj: 0.017027, No Obj: 0.002358, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.266612, Class: 1.000000, Obj: 0.009188, No Obj: 0.002321, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.159595, Class: 1.000000, Obj: 0.021323, No Obj: 0.002265, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.444448, Class: 1.000000, Obj: 0.020383, No Obj: 0.002433, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.263385, Class: 1.000000, Obj: 0.017931, No Obj: 0.002351, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39808: 0.045597, 0.037231 avg loss, 0.000005 rate, 1.182856 seconds, 636928 images, 0.060848 hours left\n",
            "Loaded: 0.000055 seconds\n",
            "Region Avg IOU: 0.496973, Class: 1.000000, Obj: 0.026702, No Obj: 0.002308, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.414864, Class: 1.000000, Obj: 0.017087, No Obj: 0.002321, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.566177, Class: 1.000000, Obj: 0.013165, No Obj: 0.002280, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.465065, Class: 1.000000, Obj: 0.008491, No Obj: 0.002171, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.425983, Class: 1.000000, Obj: 0.021238, No Obj: 0.002250, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.235967, Class: 1.000000, Obj: 0.017496, No Obj: 0.002263, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.253684, Class: 1.000000, Obj: 0.009171, No Obj: 0.002347, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.391012, Class: 1.000000, Obj: 0.023928, No Obj: 0.002254, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39809: 0.028018, 0.036309 avg loss, 0.000005 rate, 1.171522 seconds, 636944 images, 0.060870 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.383633, Class: 1.000000, Obj: 0.021189, No Obj: 0.002328, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.159041, Class: 1.000000, Obj: 0.015711, No Obj: 0.002327, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.397241, Class: 1.000000, Obj: 0.019886, No Obj: 0.002258, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.430121, Class: 1.000000, Obj: 0.021866, No Obj: 0.002277, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.286158, Class: 1.000000, Obj: 0.012190, No Obj: 0.002215, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.217317, Class: 1.000000, Obj: 0.032050, No Obj: 0.002373, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.117947, Class: 1.000000, Obj: 0.013397, No Obj: 0.002319, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.316807, Class: 1.000000, Obj: 0.005935, No Obj: 0.002279, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39810: 0.038777, 0.036556 avg loss, 0.000005 rate, 1.182009 seconds, 636960 images, 0.060883 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 352 x 352 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.120065, Class: 1.000000, Obj: 0.008947, No Obj: 0.002196, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.281878, Class: 1.000000, Obj: 0.020670, No Obj: 0.002317, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.242461, Class: 1.000000, Obj: 0.021141, No Obj: 0.002295, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.185021, Class: 1.000000, Obj: 0.017552, No Obj: 0.002130, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.009033, No Obj: 0.002197, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.135074, Class: 1.000000, Obj: 0.009799, No Obj: 0.002217, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.153217, Class: 1.000000, Obj: 0.018522, No Obj: 0.002211, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.094523, Class: 1.000000, Obj: 0.018901, No Obj: 0.002315, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39811: 0.027748, 0.035675 avg loss, 0.000005 rate, 0.418570 seconds, 636976 images, 0.060898 hours left\n",
            "Loaded: 0.000050 seconds\n",
            "Region Avg IOU: 0.283395, Class: 1.000000, Obj: 0.008761, No Obj: 0.002289, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.598357, Class: 1.000000, Obj: 0.009321, No Obj: 0.002230, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.030781, Class: 1.000000, Obj: 0.010163, No Obj: 0.002264, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.173910, Class: 1.000000, Obj: 0.010255, No Obj: 0.002171, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.252555, Class: 1.000000, Obj: 0.010461, No Obj: 0.002275, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.077123, Class: 1.000000, Obj: 0.018950, No Obj: 0.002159, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.347583, Class: 1.000000, Obj: 0.005361, No Obj: 0.002267, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.164651, Class: 1.000000, Obj: 0.008489, No Obj: 0.002359, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39812: 0.035082, 0.035616 avg loss, 0.000005 rate, 0.464890 seconds, 636992 images, 0.060509 hours left\n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.065881, Class: 1.000000, Obj: 0.006978, No Obj: 0.002195, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.094719, Class: 1.000000, Obj: 0.010172, No Obj: 0.002175, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.062670, Class: 1.000000, Obj: 0.007212, No Obj: 0.002162, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.103452, Class: 1.000000, Obj: 0.007754, No Obj: 0.002172, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.328101, Class: 1.000000, Obj: 0.008358, No Obj: 0.002176, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.139255, Class: 1.000000, Obj: 0.016316, No Obj: 0.002244, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.106911, Class: 1.000000, Obj: 0.018204, No Obj: 0.002289, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.047643, Class: 1.000000, Obj: 0.009630, No Obj: 0.002145, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39813: 0.123221, 0.044377 avg loss, 0.000005 rate, 0.465980 seconds, 637008 images, 0.060147 hours left\n",
            "Loaded: 0.000055 seconds\n",
            "Region Avg IOU: 0.280115, Class: 1.000000, Obj: 0.008380, No Obj: 0.002176, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.291483, Class: 1.000000, Obj: 0.019310, No Obj: 0.002343, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.099157, Class: 1.000000, Obj: 0.018641, No Obj: 0.002174, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.340274, Class: 1.000000, Obj: 0.027774, No Obj: 0.002240, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.331894, Class: 1.000000, Obj: 0.020271, No Obj: 0.002206, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.233723, Class: 1.000000, Obj: 0.018994, No Obj: 0.002348, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.205932, Class: 1.000000, Obj: 0.018431, No Obj: 0.002162, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.349893, Class: 1.000000, Obj: 0.017900, No Obj: 0.002178, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39814: 0.026421, 0.042581 avg loss, 0.000005 rate, 0.468524 seconds, 637024 images, 0.059787 hours left\n",
            "Loaded: 0.000057 seconds\n",
            "Region Avg IOU: 0.008874, Class: 1.000000, Obj: 0.009609, No Obj: 0.002227, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.245572, Class: 1.000000, Obj: 0.020393, No Obj: 0.002280, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.545084, Class: 1.000000, Obj: 0.006995, No Obj: 0.002243, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.091691, Class: 1.000000, Obj: 0.021022, No Obj: 0.002235, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.009687, Class: 1.000000, Obj: 0.009969, No Obj: 0.002250, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.084993, Class: 1.000000, Obj: 0.010310, No Obj: 0.002275, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.331884, Class: 1.000000, Obj: 0.012650, No Obj: 0.002164, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.016024, Class: 1.000000, Obj: 0.013887, No Obj: 0.002188, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39815: 0.026072, 0.040930 avg loss, 0.000005 rate, 0.465602 seconds, 637040 images, 0.059431 hours left\n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.158872, Class: 1.000000, Obj: 0.010036, No Obj: 0.002184, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.079946, Class: 1.000000, Obj: 0.012681, No Obj: 0.002249, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.068746, Class: 1.000000, Obj: 0.012502, No Obj: 0.002235, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.449157, Class: 1.000000, Obj: 0.014485, No Obj: 0.002273, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.172825, Class: 1.000000, Obj: 0.010563, No Obj: 0.002179, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.201387, Class: 1.000000, Obj: 0.019620, No Obj: 0.002173, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.139566, Class: 1.000000, Obj: 0.016770, No Obj: 0.002250, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.638276, Class: 1.000000, Obj: 0.019789, No Obj: 0.002307, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39816: 0.022626, 0.039100 avg loss, 0.000005 rate, 0.465131 seconds, 637056 images, 0.059076 hours left\n",
            "Loaded: 0.000050 seconds\n",
            "Region Avg IOU: 0.044369, Class: 1.000000, Obj: 0.009241, No Obj: 0.002129, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.003992, Class: 1.000000, Obj: 0.014576, No Obj: 0.002180, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.619856, Class: 1.000000, Obj: 0.007756, No Obj: 0.002203, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.054805, Class: 1.000000, Obj: 0.028145, No Obj: 0.002258, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.326015, Class: 1.000000, Obj: 0.007135, No Obj: 0.002387, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.057682, Class: 1.000000, Obj: 0.005164, No Obj: 0.002200, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.281292, Class: 1.000000, Obj: 0.015592, No Obj: 0.002208, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.318292, Class: 1.000000, Obj: 0.014061, No Obj: 0.002215, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39817: 0.021711, 0.037361 avg loss, 0.000005 rate, 0.480342 seconds, 637072 images, 0.058723 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.041029, Class: 1.000000, Obj: 0.019508, No Obj: 0.002194, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.015485, Class: 1.000000, Obj: 0.023669, No Obj: 0.002208, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.151136, Class: 1.000000, Obj: 0.012367, No Obj: 0.002118, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.147701, Class: 1.000000, Obj: 0.008553, No Obj: 0.002246, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.135614, Class: 1.000000, Obj: 0.017551, No Obj: 0.002194, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.107036, Class: 1.000000, Obj: 0.013004, No Obj: 0.002163, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.258837, Class: 1.000000, Obj: 0.019017, No Obj: 0.002227, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.344920, Class: 1.000000, Obj: 0.023608, No Obj: 0.002208, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39818: 0.032324, 0.036857 avg loss, 0.000005 rate, 0.469829 seconds, 637088 images, 0.058380 hours left\n",
            "Loaded: 0.000051 seconds\n",
            "Region Avg IOU: 0.172019, Class: 1.000000, Obj: 0.022224, No Obj: 0.002303, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.164774, Class: 1.000000, Obj: 0.012631, No Obj: 0.002195, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.114583, Class: 1.000000, Obj: 0.007668, No Obj: 0.002255, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.199020, Class: 1.000000, Obj: 0.013258, No Obj: 0.002220, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.004214, Class: 1.000000, Obj: 0.009763, No Obj: 0.002169, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.026268, Class: 1.000000, Obj: 0.022486, No Obj: 0.002162, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.212561, Class: 1.000000, Obj: 0.012678, No Obj: 0.002203, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.102270, Class: 1.000000, Obj: 0.024255, No Obj: 0.002221, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39819: 0.023374, 0.035509 avg loss, 0.000005 rate, 0.469041 seconds, 637104 images, 0.058034 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.379805, Class: 1.000000, Obj: 0.023479, No Obj: 0.002245, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.012779, No Obj: 0.002215, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.025849, Class: 1.000000, Obj: 0.016956, No Obj: 0.002214, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.076862, Class: 1.000000, Obj: 0.017041, No Obj: 0.002245, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.030878, Class: 1.000000, Obj: 0.017503, No Obj: 0.002245, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.049020, Class: 1.000000, Obj: 0.009424, No Obj: 0.002170, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.139224, Class: 1.000000, Obj: 0.007545, No Obj: 0.002217, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.017964, No Obj: 0.002187, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39820: 0.039972, 0.035955 avg loss, 0.000005 rate, 0.466124 seconds, 637120 images, 0.057690 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 672 x 672 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.346621, Class: 1.000000, Obj: 0.007399, No Obj: 0.002257, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.336664, Class: 1.000000, Obj: 0.027771, No Obj: 0.002308, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.255044, Class: 1.000000, Obj: 0.021174, No Obj: 0.002355, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.415604, Class: 1.000000, Obj: 0.014325, No Obj: 0.002252, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.334590, Class: 1.000000, Obj: 0.019180, No Obj: 0.002279, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.565230, Class: 1.000000, Obj: 0.022610, No Obj: 0.002401, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.661466, Class: 1.000000, Obj: 0.010277, No Obj: 0.002292, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.256086, Class: 1.000000, Obj: 0.008495, No Obj: 0.002241, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39821: 0.034248, 0.035784 avg loss, 0.000005 rate, 1.242794 seconds, 637136 images, 0.057346 hours left\n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.303087, Class: 1.000000, Obj: 0.013213, No Obj: 0.002240, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.387154, Class: 1.000000, Obj: 0.012014, No Obj: 0.002228, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.119162, Class: 1.000000, Obj: 0.049748, No Obj: 0.002278, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.268824, Class: 1.000000, Obj: 0.016463, No Obj: 0.002280, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.236919, Class: 1.000000, Obj: 0.012228, No Obj: 0.002324, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.199931, Class: 1.000000, Obj: 0.015654, No Obj: 0.002305, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.238709, Class: 1.000000, Obj: 0.022766, No Obj: 0.002346, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.389050, Class: 1.000000, Obj: 0.013151, No Obj: 0.002312, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39822: 0.045767, 0.036783 avg loss, 0.000005 rate, 1.356700 seconds, 637152 images, 0.057390 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.232715, Class: 1.000000, Obj: 0.008514, No Obj: 0.002284, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.518104, Class: 1.000000, Obj: 0.014683, No Obj: 0.002346, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.406170, Class: 1.000000, Obj: 0.040578, No Obj: 0.002333, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.486829, Class: 1.000000, Obj: 0.016621, No Obj: 0.002337, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.243742, Class: 1.000000, Obj: 0.018972, No Obj: 0.002302, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.314490, Class: 1.000000, Obj: 0.041607, No Obj: 0.002327, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.338973, Class: 1.000000, Obj: 0.011917, No Obj: 0.002281, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.137929, Class: 1.000000, Obj: 0.015597, No Obj: 0.002274, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39823: 0.077791, 0.040884 avg loss, 0.000005 rate, 1.358551 seconds, 637168 images, 0.057487 hours left\n",
            "Loaded: 0.000047 seconds\n",
            "Region Avg IOU: 0.478873, Class: 1.000000, Obj: 0.025501, No Obj: 0.002284, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.396189, Class: 1.000000, Obj: 0.007315, No Obj: 0.002248, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.228246, Class: 1.000000, Obj: 0.009361, No Obj: 0.002227, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.251450, Class: 1.000000, Obj: 0.024334, No Obj: 0.002276, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.601565, Class: 1.000000, Obj: 0.006839, No Obj: 0.002210, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.333054, Class: 1.000000, Obj: 0.022121, No Obj: 0.002292, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.223600, Class: 1.000000, Obj: 0.013620, No Obj: 0.002276, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.143211, Class: 1.000000, Obj: 0.014370, No Obj: 0.002348, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39824: 0.044024, 0.041198 avg loss, 0.000005 rate, 1.359511 seconds, 637184 images, 0.057580 hours left\n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.324953, Class: 1.000000, Obj: 0.030359, No Obj: 0.002280, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.642927, Class: 1.000000, Obj: 0.014992, No Obj: 0.002238, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.266940, Class: 1.000000, Obj: 0.009481, No Obj: 0.002258, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.377370, Class: 1.000000, Obj: 0.005606, No Obj: 0.002247, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.178642, Class: 1.000000, Obj: 0.006936, No Obj: 0.002270, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.129316, Class: 1.000000, Obj: 0.032814, No Obj: 0.002240, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.327750, Class: 1.000000, Obj: 0.012940, No Obj: 0.002202, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.389458, Class: 1.000000, Obj: 0.021508, No Obj: 0.002290, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39825: 0.022574, 0.039335 avg loss, 0.000005 rate, 1.360009 seconds, 637200 images, 0.057669 hours left\n",
            "Loaded: 0.000051 seconds\n",
            "Region Avg IOU: 0.289292, Class: 1.000000, Obj: 0.014884, No Obj: 0.002261, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.323313, Class: 1.000000, Obj: 0.010929, No Obj: 0.002269, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.216092, Class: 1.000000, Obj: 0.021770, No Obj: 0.002352, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.390554, Class: 1.000000, Obj: 0.017329, No Obj: 0.002313, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.070136, Class: 1.000000, Obj: 0.024860, No Obj: 0.002320, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.495308, Class: 1.000000, Obj: 0.026209, No Obj: 0.002249, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.278279, Class: 1.000000, Obj: 0.009460, No Obj: 0.002280, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.281940, Class: 1.000000, Obj: 0.015720, No Obj: 0.002309, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39826: 0.034595, 0.038861 avg loss, 0.000005 rate, 1.358782 seconds, 637216 images, 0.057754 hours left\n",
            "Loaded: 0.000060 seconds\n",
            "Region Avg IOU: 0.202964, Class: 1.000000, Obj: 0.012123, No Obj: 0.002317, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.282822, Class: 1.000000, Obj: 0.030061, No Obj: 0.002290, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.293538, Class: 1.000000, Obj: 0.006645, No Obj: 0.002277, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.218451, Class: 1.000000, Obj: 0.019506, No Obj: 0.002215, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.138835, Class: 1.000000, Obj: 0.027345, No Obj: 0.002316, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.334606, Class: 1.000000, Obj: 0.026786, No Obj: 0.002335, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.467626, Class: 1.000000, Obj: 0.019452, No Obj: 0.002243, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.564801, Class: 1.000000, Obj: 0.018431, No Obj: 0.002247, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39827: 0.035589, 0.038534 avg loss, 0.000005 rate, 1.350592 seconds, 637232 images, 0.057833 hours left\n",
            "Loaded: 0.000053 seconds\n",
            "Region Avg IOU: 0.431924, Class: 1.000000, Obj: 0.010981, No Obj: 0.002291, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.550433, Class: 1.000000, Obj: 0.020698, No Obj: 0.002312, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.269841, Class: 1.000000, Obj: 0.012246, No Obj: 0.002337, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.322142, Class: 1.000000, Obj: 0.025877, No Obj: 0.002278, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.300984, Class: 1.000000, Obj: 0.019904, No Obj: 0.002239, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.248242, Class: 1.000000, Obj: 0.021024, No Obj: 0.002249, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.290796, Class: 1.000000, Obj: 0.034473, No Obj: 0.002348, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.343778, Class: 1.000000, Obj: 0.018935, No Obj: 0.002205, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39828: 0.022256, 0.036906 avg loss, 0.000005 rate, 1.355351 seconds, 637248 images, 0.057904 hours left\n",
            "Loaded: 0.000050 seconds\n",
            "Region Avg IOU: 0.363866, Class: 1.000000, Obj: 0.025672, No Obj: 0.002326, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.316570, Class: 1.000000, Obj: 0.019202, No Obj: 0.002177, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.376216, Class: 1.000000, Obj: 0.020361, No Obj: 0.002276, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.372801, Class: 1.000000, Obj: 0.035526, No Obj: 0.002352, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.392201, Class: 1.000000, Obj: 0.027433, No Obj: 0.002308, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.341017, Class: 1.000000, Obj: 0.017382, No Obj: 0.002310, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.266934, Class: 1.000000, Obj: 0.012919, No Obj: 0.002333, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.175063, Class: 1.000000, Obj: 0.017010, No Obj: 0.002324, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39829: 0.047414, 0.037957 avg loss, 0.000005 rate, 1.359059 seconds, 637264 images, 0.057972 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.076009, Class: 1.000000, Obj: 0.015372, No Obj: 0.002227, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.335130, Class: 1.000000, Obj: 0.023724, No Obj: 0.002325, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.335971, Class: 1.000000, Obj: 0.017777, No Obj: 0.002311, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.234338, Class: 1.000000, Obj: 0.019160, No Obj: 0.002345, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.262263, Class: 1.000000, Obj: 0.020630, No Obj: 0.002298, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.386098, Class: 1.000000, Obj: 0.007683, No Obj: 0.002253, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.344841, Class: 1.000000, Obj: 0.010477, No Obj: 0.002228, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.229971, Class: 1.000000, Obj: 0.021324, No Obj: 0.002237, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39830: 0.109275, 0.045089 avg loss, 0.000005 rate, 1.356902 seconds, 637280 images, 0.058038 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 576 x 576 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000049 seconds\n",
            "Region Avg IOU: 0.312096, Class: 1.000000, Obj: 0.024146, No Obj: 0.002358, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.311199, Class: 1.000000, Obj: 0.026327, No Obj: 0.002330, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.339370, Class: 1.000000, Obj: 0.025431, No Obj: 0.002353, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.474987, Class: 1.000000, Obj: 0.023414, No Obj: 0.002336, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.676919, Class: 1.000000, Obj: 0.024105, No Obj: 0.002323, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.261523, Class: 1.000000, Obj: 0.030882, No Obj: 0.002365, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.142303, Class: 1.000000, Obj: 0.026073, No Obj: 0.002323, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.136663, Class: 1.000000, Obj: 0.037649, No Obj: 0.002286, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39831: 0.026316, 0.043212 avg loss, 0.000005 rate, 1.019067 seconds, 637296 images, 0.058099 hours left\n",
            "Loaded: 0.000056 seconds\n",
            "Region Avg IOU: 0.789763, Class: 1.000000, Obj: 0.017115, No Obj: 0.002301, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.236089, Class: 1.000000, Obj: 0.032372, No Obj: 0.002295, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.402303, Class: 1.000000, Obj: 0.016551, No Obj: 0.002288, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.384753, Class: 1.000000, Obj: 0.006385, No Obj: 0.002269, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.410082, Class: 1.000000, Obj: 0.014403, No Obj: 0.002245, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.473484, Class: 1.000000, Obj: 0.021685, No Obj: 0.002237, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.008968, No Obj: 0.002249, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.180135, Class: 1.000000, Obj: 0.015296, No Obj: 0.002316, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39832: 0.344107, 0.073301 avg loss, 0.000005 rate, 1.103759 seconds, 637312 images, 0.057996 hours left\n",
            "Loaded: 0.000057 seconds\n",
            "Region Avg IOU: 0.902294, Class: 1.000000, Obj: 0.031524, No Obj: 0.002282, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.101308, Class: 1.000000, Obj: 0.019910, No Obj: 0.002370, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.171326, Class: 1.000000, Obj: 0.021236, No Obj: 0.002322, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.185098, Class: 1.000000, Obj: 0.028563, No Obj: 0.002349, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.093188, Class: 1.000000, Obj: 0.030201, No Obj: 0.002328, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.115732, Class: 1.000000, Obj: 0.010194, No Obj: 0.002298, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.314755, Class: 1.000000, Obj: 0.017521, No Obj: 0.002295, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.324642, Class: 1.000000, Obj: 0.027521, No Obj: 0.002332, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39833: 0.032619, 0.069233 avg loss, 0.000005 rate, 1.104122 seconds, 637328 images, 0.057931 hours left\n",
            "Loaded: 0.000053 seconds\n",
            "Region Avg IOU: 0.222151, Class: 1.000000, Obj: 0.029854, No Obj: 0.002389, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.338155, Class: 1.000000, Obj: 0.007304, No Obj: 0.002239, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.272534, Class: 1.000000, Obj: 0.015215, No Obj: 0.002274, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.295143, Class: 1.000000, Obj: 0.022521, No Obj: 0.002276, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.295658, Class: 1.000000, Obj: 0.019867, No Obj: 0.002398, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.341232, Class: 1.000000, Obj: 0.010015, No Obj: 0.002353, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.338675, Class: 1.000000, Obj: 0.015640, No Obj: 0.002336, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.243601, Class: 1.000000, Obj: 0.009948, No Obj: 0.002345, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39834: 0.036936, 0.066003 avg loss, 0.000005 rate, 1.104660 seconds, 637344 images, 0.057864 hours left\n",
            "Loaded: 0.000070 seconds\n",
            "Region Avg IOU: 0.058825, Class: 1.000000, Obj: 0.008578, No Obj: 0.002307, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.284629, Class: 1.000000, Obj: 0.017628, No Obj: 0.002316, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.464453, Class: 1.000000, Obj: 0.013166, No Obj: 0.002339, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.118477, Class: 1.000000, Obj: 0.021576, No Obj: 0.002305, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.470609, Class: 1.000000, Obj: 0.016552, No Obj: 0.002366, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.249526, Class: 1.000000, Obj: 0.015383, No Obj: 0.002276, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.181171, Class: 1.000000, Obj: 0.011004, No Obj: 0.002343, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.595060, Class: 1.000000, Obj: 0.034449, No Obj: 0.002373, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39835: 0.016576, 0.061060 avg loss, 0.000005 rate, 1.100459 seconds, 637360 images, 0.057795 hours left\n",
            "Loaded: 0.000061 seconds\n",
            "Region Avg IOU: 0.235987, Class: 1.000000, Obj: 0.026978, No Obj: 0.002416, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.464158, Class: 1.000000, Obj: 0.009439, No Obj: 0.002246, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.152633, Class: 1.000000, Obj: 0.015610, No Obj: 0.002383, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.538442, Class: 1.000000, Obj: 0.007478, No Obj: 0.002283, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.381192, Class: 1.000000, Obj: 0.016125, No Obj: 0.002306, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.213035, Class: 1.000000, Obj: 0.019109, No Obj: 0.002338, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.193957, Class: 1.000000, Obj: 0.027797, No Obj: 0.002354, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.341721, Class: 1.000000, Obj: 0.019642, No Obj: 0.002313, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39836: 0.025002, 0.057455 avg loss, 0.000005 rate, 1.106758 seconds, 637376 images, 0.057721 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.113177, Class: 1.000000, Obj: 0.015629, No Obj: 0.002320, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.406242, Class: 1.000000, Obj: 0.003490, No Obj: 0.002194, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.502179, Class: 1.000000, Obj: 0.018051, No Obj: 0.002321, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.213034, Class: 1.000000, Obj: 0.010289, No Obj: 0.002223, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.407163, Class: 1.000000, Obj: 0.021948, No Obj: 0.002307, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.353746, Class: 1.000000, Obj: 0.015428, No Obj: 0.002341, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.476802, Class: 1.000000, Obj: 0.013821, No Obj: 0.002304, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.238777, Class: 1.000000, Obj: 0.010091, No Obj: 0.002304, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39837: 0.139034, 0.065613 avg loss, 0.000005 rate, 1.104579 seconds, 637392 images, 0.057648 hours left\n",
            "Loaded: 0.000055 seconds\n",
            "Region Avg IOU: 0.430854, Class: 1.000000, Obj: 0.013102, No Obj: 0.002305, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.334546, Class: 1.000000, Obj: 0.025603, No Obj: 0.002311, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.293728, Class: 1.000000, Obj: 0.014029, No Obj: 0.002299, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.119488, Class: 1.000000, Obj: 0.028795, No Obj: 0.002358, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.248037, Class: 1.000000, Obj: 0.016333, No Obj: 0.002260, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.190368, Class: 1.000000, Obj: 0.016550, No Obj: 0.002282, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.229918, Class: 1.000000, Obj: 0.036793, No Obj: 0.002370, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.452092, Class: 1.000000, Obj: 0.022535, No Obj: 0.002377, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39838: 0.019191, 0.060970 avg loss, 0.000005 rate, 1.105036 seconds, 637408 images, 0.057572 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.305769, Class: 1.000000, Obj: 0.010822, No Obj: 0.002249, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.253255, Class: 1.000000, Obj: 0.018128, No Obj: 0.002317, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.116991, Class: 1.000000, Obj: 0.011363, No Obj: 0.002252, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.224229, Class: 1.000000, Obj: 0.026805, No Obj: 0.002231, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.197450, Class: 1.000000, Obj: 0.020645, No Obj: 0.002463, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.152025, Class: 1.000000, Obj: 0.017938, No Obj: 0.002420, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.430340, Class: 1.000000, Obj: 0.014449, No Obj: 0.002301, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.263206, Class: 1.000000, Obj: 0.017126, No Obj: 0.002260, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39839: 0.023068, 0.057180 avg loss, 0.000005 rate, 1.104605 seconds, 637424 images, 0.057494 hours left\n",
            "Loaded: 0.000043 seconds\n",
            "Region Avg IOU: 0.421616, Class: 1.000000, Obj: 0.019162, No Obj: 0.002295, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.157753, Class: 1.000000, Obj: 0.027693, No Obj: 0.002342, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.336807, Class: 1.000000, Obj: 0.011383, No Obj: 0.002239, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.223041, Class: 1.000000, Obj: 0.016508, No Obj: 0.002425, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.066516, Class: 1.000000, Obj: 0.010090, No Obj: 0.002373, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.309005, Class: 1.000000, Obj: 0.012757, No Obj: 0.002222, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.244560, Class: 1.000000, Obj: 0.022471, No Obj: 0.002312, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.193431, Class: 1.000000, Obj: 0.017116, No Obj: 0.002350, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39840: 0.038256, 0.055288 avg loss, 0.000005 rate, 1.105057 seconds, 637440 images, 0.057413 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 352 x 352 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.020038, Class: 1.000000, Obj: 0.009062, No Obj: 0.002189, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.278449, Class: 1.000000, Obj: 0.016363, No Obj: 0.002296, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.025326, Class: 1.000000, Obj: 0.019882, No Obj: 0.002267, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.113794, Class: 1.000000, Obj: 0.009577, No Obj: 0.002182, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.224067, Class: 1.000000, Obj: 0.019502, No Obj: 0.002208, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.203035, Class: 1.000000, Obj: 0.007218, No Obj: 0.002277, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.270484, Class: 1.000000, Obj: 0.016330, No Obj: 0.002183, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.036876, Class: 1.000000, Obj: 0.010286, No Obj: 0.002261, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39841: 0.025307, 0.052290 avg loss, 0.000005 rate, 0.417108 seconds, 637456 images, 0.057330 hours left\n",
            "Loaded: 0.000059 seconds\n",
            "Region Avg IOU: 0.152615, Class: 1.000000, Obj: 0.014008, No Obj: 0.002249, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.147783, Class: 1.000000, Obj: 0.008743, No Obj: 0.002273, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.069352, Class: 1.000000, Obj: 0.011730, No Obj: 0.002192, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.005189, Class: 1.000000, Obj: 0.015934, No Obj: 0.002164, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.283121, Class: 1.000000, Obj: 0.008415, No Obj: 0.002236, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.121502, Class: 1.000000, Obj: 0.006667, No Obj: 0.002241, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.509117, Class: 1.000000, Obj: 0.007824, No Obj: 0.002218, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.537464, Class: 1.000000, Obj: 0.012711, No Obj: 0.002189, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39842: 0.213390, 0.068400 avg loss, 0.000005 rate, 0.471266 seconds, 637472 images, 0.056941 hours left\n",
            "Loaded: 0.000094 seconds\n",
            "Region Avg IOU: 0.228693, Class: 1.000000, Obj: 0.008974, No Obj: 0.002165, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.129965, Class: 1.000000, Obj: 0.014082, No Obj: 0.002262, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.218745, Class: 1.000000, Obj: 0.015854, No Obj: 0.002150, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.044812, Class: 1.000000, Obj: 0.019180, No Obj: 0.002198, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.148431, Class: 1.000000, Obj: 0.009147, No Obj: 0.002246, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.192054, Class: 1.000000, Obj: 0.006932, No Obj: 0.002282, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.219652, Class: 1.000000, Obj: 0.011543, No Obj: 0.002310, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.059701, Class: 1.000000, Obj: 0.012633, No Obj: 0.002145, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39843: 0.053311, 0.066891 avg loss, 0.000005 rate, 0.468899 seconds, 637488 images, 0.056578 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.067772, Class: 1.000000, Obj: 0.015818, No Obj: 0.002195, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.027639, Class: 1.000000, Obj: 0.020574, No Obj: 0.002198, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.008783, Class: 1.000000, Obj: 0.012275, No Obj: 0.002232, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.242972, Class: 1.000000, Obj: 0.020207, No Obj: 0.002208, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.199051, Class: 1.000000, Obj: 0.019880, No Obj: 0.002152, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.025778, Class: 1.000000, Obj: 0.018586, No Obj: 0.002152, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.376408, Class: 1.000000, Obj: 0.012701, No Obj: 0.002336, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.085600, Class: 1.000000, Obj: 0.016294, No Obj: 0.002166, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39844: 0.025728, 0.062775 avg loss, 0.000005 rate, 0.467914 seconds, 637504 images, 0.056217 hours left\n",
            "Loaded: 0.000053 seconds\n",
            "Region Avg IOU: 0.309960, Class: 1.000000, Obj: 0.016433, No Obj: 0.002142, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.225734, Class: 1.000000, Obj: 0.022371, No Obj: 0.002257, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.394698, Class: 1.000000, Obj: 0.023400, No Obj: 0.002237, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.166510, Class: 1.000000, Obj: 0.008453, No Obj: 0.002284, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.481135, Class: 1.000000, Obj: 0.018783, No Obj: 0.002234, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.331691, Class: 1.000000, Obj: 0.020908, No Obj: 0.002172, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.362728, Class: 1.000000, Obj: 0.013508, No Obj: 0.002228, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.038114, Class: 1.000000, Obj: 0.016848, No Obj: 0.002241, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39845: 0.016393, 0.058136 avg loss, 0.000005 rate, 0.469155 seconds, 637520 images, 0.055857 hours left\n",
            "Loaded: 0.000052 seconds\n",
            "Region Avg IOU: 0.273213, Class: 1.000000, Obj: 0.009913, No Obj: 0.002299, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.038144, Class: 1.000000, Obj: 0.012416, No Obj: 0.002228, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.008188, No Obj: 0.002161, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.508882, Class: 1.000000, Obj: 0.023114, No Obj: 0.002243, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.201559, Class: 1.000000, Obj: 0.012258, No Obj: 0.002317, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.306400, Class: 1.000000, Obj: 0.009883, No Obj: 0.002270, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.085935, Class: 1.000000, Obj: 0.019618, No Obj: 0.002264, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.207398, Class: 1.000000, Obj: 0.016988, No Obj: 0.002314, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39846: 0.020231, 0.054346 avg loss, 0.000005 rate, 0.466139 seconds, 637536 images, 0.055501 hours left\n",
            "Loaded: 0.000051 seconds\n",
            "Region Avg IOU: 0.001235, Class: 1.000000, Obj: 0.014928, No Obj: 0.002216, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.108188, Class: 1.000000, Obj: 0.016005, No Obj: 0.002272, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.011436, No Obj: 0.002189, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.334268, Class: 1.000000, Obj: 0.007437, No Obj: 0.002221, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.287965, Class: 1.000000, Obj: 0.013833, No Obj: 0.002207, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.272145, Class: 1.000000, Obj: 0.016788, No Obj: 0.002240, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.069881, Class: 1.000000, Obj: 0.014320, No Obj: 0.002185, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.153827, Class: 1.000000, Obj: 0.007414, No Obj: 0.002320, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39847: 0.019493, 0.050861 avg loss, 0.000005 rate, 0.465503 seconds, 637552 images, 0.055145 hours left\n",
            "Loaded: 0.000047 seconds\n",
            "Region Avg IOU: 0.107924, Class: 1.000000, Obj: 0.021158, No Obj: 0.002250, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.087265, Class: 1.000000, Obj: 0.022418, No Obj: 0.002239, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.093370, Class: 1.000000, Obj: 0.010677, No Obj: 0.002199, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.113888, Class: 1.000000, Obj: 0.005630, No Obj: 0.002293, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.168938, Class: 1.000000, Obj: 0.015142, No Obj: 0.002195, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.278696, Class: 1.000000, Obj: 0.009909, No Obj: 0.002334, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.102401, Class: 1.000000, Obj: 0.005568, No Obj: 0.002182, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.196587, Class: 1.000000, Obj: 0.011882, No Obj: 0.002225, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39848: 0.035919, 0.049367 avg loss, 0.000005 rate, 0.468026 seconds, 637568 images, 0.054792 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.023150, Class: 1.000000, Obj: 0.019697, No Obj: 0.002173, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.164940, Class: 1.000000, Obj: 0.016806, No Obj: 0.002251, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.207159, Class: 1.000000, Obj: 0.007975, No Obj: 0.002197, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.223226, Class: 1.000000, Obj: 0.017158, No Obj: 0.002252, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.481375, Class: 1.000000, Obj: 0.016768, No Obj: 0.002181, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.202744, Class: 1.000000, Obj: 0.024140, No Obj: 0.002252, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.350844, Class: 1.000000, Obj: 0.015299, No Obj: 0.002202, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.380282, Class: 1.000000, Obj: 0.015513, No Obj: 0.002277, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39849: 0.024006, 0.046830 avg loss, 0.000005 rate, 0.464109 seconds, 637584 images, 0.054441 hours left\n",
            "Loaded: 0.000052 seconds\n",
            "Region Avg IOU: 0.085308, Class: 1.000000, Obj: 0.008585, No Obj: 0.002213, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.078014, Class: 1.000000, Obj: 0.018085, No Obj: 0.002102, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.089021, Class: 1.000000, Obj: 0.014424, No Obj: 0.002197, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.090251, Class: 1.000000, Obj: 0.020755, No Obj: 0.002221, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.331154, Class: 1.000000, Obj: 0.014994, No Obj: 0.002180, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.104680, Class: 1.000000, Obj: 0.025154, No Obj: 0.002183, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.018262, No Obj: 0.002239, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.233930, Class: 1.000000, Obj: 0.016221, No Obj: 0.002193, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39850: 0.021844, 0.044332 avg loss, 0.000005 rate, 0.469328 seconds, 637600 images, 0.054092 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 384 x 384 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000050 seconds\n",
            "Region Avg IOU: 0.070899, Class: 1.000000, Obj: 0.007101, No Obj: 0.002229, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.134157, Class: 1.000000, Obj: 0.012116, No Obj: 0.002226, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.047556, Class: 1.000000, Obj: 0.015694, No Obj: 0.002189, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.228649, Class: 1.000000, Obj: 0.021066, No Obj: 0.002277, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.015287, Class: 1.000000, Obj: 0.009091, No Obj: 0.002277, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.308446, Class: 1.000000, Obj: 0.014536, No Obj: 0.002229, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.234735, Class: 1.000000, Obj: 0.005949, No Obj: 0.002271, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.014890, No Obj: 0.002250, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39851: 0.064435, 0.046342 avg loss, 0.000005 rate, 0.465469 seconds, 637616 images, 0.053746 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.212851, Class: 1.000000, Obj: 0.029778, No Obj: 0.002437, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.740864, Class: 1.000000, Obj: 0.018878, No Obj: 0.002299, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.040415, Class: 1.000000, Obj: 0.015838, No Obj: 0.002202, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.596368, Class: 1.000000, Obj: 0.013869, No Obj: 0.002276, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.068100, Class: 1.000000, Obj: 0.008568, No Obj: 0.002205, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.185934, Class: 1.000000, Obj: 0.017798, No Obj: 0.002288, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.007495, Class: 1.000000, Obj: 0.017144, No Obj: 0.002227, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.165687, Class: 1.000000, Obj: 0.015592, No Obj: 0.002237, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39852: 0.018407, 0.043549 avg loss, 0.000005 rate, 0.525480 seconds, 637632 images, 0.053402 hours left\n",
            "Loaded: 0.000054 seconds\n",
            "Region Avg IOU: 0.049873, Class: 1.000000, Obj: 0.008409, No Obj: 0.002329, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.082276, Class: 1.000000, Obj: 0.011279, No Obj: 0.002321, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.160689, Class: 1.000000, Obj: 0.015259, No Obj: 0.002269, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.156757, Class: 1.000000, Obj: 0.015461, No Obj: 0.002193, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.079116, Class: 1.000000, Obj: 0.015008, No Obj: 0.002249, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.026838, Class: 1.000000, Obj: 0.015392, No Obj: 0.002195, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.113483, Class: 1.000000, Obj: 0.022204, No Obj: 0.002182, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.180287, Class: 1.000000, Obj: 0.020821, No Obj: 0.002267, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39853: 0.395214, 0.078715 avg loss, 0.000005 rate, 0.519840 seconds, 637648 images, 0.053084 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.334661, Class: 1.000000, Obj: 0.017633, No Obj: 0.002298, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.260080, Class: 1.000000, Obj: 0.019128, No Obj: 0.002260, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.185966, Class: 1.000000, Obj: 0.021748, No Obj: 0.002317, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.178160, Class: 1.000000, Obj: 0.020275, No Obj: 0.002242, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.202989, Class: 1.000000, Obj: 0.016302, No Obj: 0.002216, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.041550, Class: 1.000000, Obj: 0.017070, No Obj: 0.002222, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.055405, Class: 1.000000, Obj: 0.015943, No Obj: 0.002278, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.274529, Class: 1.000000, Obj: 0.007662, No Obj: 0.002333, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39854: 0.018187, 0.072662 avg loss, 0.000005 rate, 0.518361 seconds, 637664 images, 0.052765 hours left\n",
            "Loaded: 0.000051 seconds\n",
            "Region Avg IOU: 0.006765, Class: 1.000000, Obj: 0.013408, No Obj: 0.002269, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.075580, Class: 1.000000, Obj: 0.026149, No Obj: 0.002193, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.132688, Class: 1.000000, Obj: 0.006728, No Obj: 0.002286, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.232195, Class: 1.000000, Obj: 0.012896, No Obj: 0.002277, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.410132, Class: 1.000000, Obj: 0.007504, No Obj: 0.002405, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.305806, Class: 1.000000, Obj: 0.010286, No Obj: 0.002358, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.400651, Class: 1.000000, Obj: 0.006685, No Obj: 0.002333, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.592797, Class: 1.000000, Obj: 0.011980, No Obj: 0.002303, Avg Recall: 1.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39855: 0.055920, 0.070988 avg loss, 0.000005 rate, 0.521647 seconds, 637680 images, 0.052448 hours left\n",
            "Loaded: 0.000054 seconds\n",
            "Region Avg IOU: 0.150975, Class: 1.000000, Obj: 0.022373, No Obj: 0.002226, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.272254, Class: 1.000000, Obj: 0.009289, No Obj: 0.002308, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.002331, Avg Recall: -nan,  count: 0\n",
            "Region Avg IOU: 0.046373, Class: 1.000000, Obj: 0.004302, No Obj: 0.002172, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.147473, Class: 1.000000, Obj: 0.015779, No Obj: 0.002277, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.500048, Class: 1.000000, Obj: 0.016580, No Obj: 0.002336, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.017856, Class: 1.000000, Obj: 0.006956, No Obj: 0.002241, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.058120, Class: 1.000000, Obj: 0.023355, No Obj: 0.002176, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39856: 0.028070, 0.066696 avg loss, 0.000005 rate, 0.518907 seconds, 637696 images, 0.052133 hours left\n",
            "Loaded: 0.000055 seconds\n",
            "Region Avg IOU: 0.214063, Class: 1.000000, Obj: 0.012592, No Obj: 0.002401, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.106398, Class: 1.000000, Obj: 0.009588, No Obj: 0.002250, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.117819, Class: 1.000000, Obj: 0.004673, No Obj: 0.002328, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.175625, Class: 1.000000, Obj: 0.022171, No Obj: 0.002339, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.097720, Class: 1.000000, Obj: 0.025327, No Obj: 0.002378, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.275575, Class: 1.000000, Obj: 0.017253, No Obj: 0.002245, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.013017, Class: 1.000000, Obj: 0.021679, No Obj: 0.002238, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.072575, Class: 1.000000, Obj: 0.020116, No Obj: 0.002338, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39857: 0.044081, 0.064435 avg loss, 0.000005 rate, 0.520851 seconds, 637712 images, 0.051820 hours left\n",
            "Loaded: 0.000051 seconds\n",
            "Region Avg IOU: 0.055215, Class: 1.000000, Obj: 0.015513, No Obj: 0.002190, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.363356, Class: 1.000000, Obj: 0.022403, No Obj: 0.002248, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.143096, Class: 1.000000, Obj: 0.016571, No Obj: 0.002272, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.090455, Class: 1.000000, Obj: 0.017237, No Obj: 0.002278, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.386479, Class: 1.000000, Obj: 0.020776, No Obj: 0.002248, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.233486, Class: 1.000000, Obj: 0.013964, No Obj: 0.002197, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.285724, Class: 1.000000, Obj: 0.008171, No Obj: 0.002252, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.005928, Class: 1.000000, Obj: 0.019446, No Obj: 0.002262, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39858: 0.021867, 0.060178 avg loss, 0.000005 rate, 0.520162 seconds, 637728 images, 0.051508 hours left\n",
            "Loaded: 0.000043 seconds\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.007533, No Obj: 0.002257, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.014694, No Obj: 0.002243, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.146667, Class: 1.000000, Obj: 0.002809, No Obj: 0.002215, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.077843, Class: 1.000000, Obj: 0.007051, No Obj: 0.002199, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.104506, Class: 1.000000, Obj: 0.020863, No Obj: 0.002312, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.032529, Class: 1.000000, Obj: 0.017830, No Obj: 0.002201, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.272055, Class: 1.000000, Obj: 0.017870, No Obj: 0.002325, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.237363, Class: 1.000000, Obj: 0.018788, No Obj: 0.002219, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39859: 0.036312, 0.057791 avg loss, 0.000005 rate, 0.518971 seconds, 637744 images, 0.051198 hours left\n",
            "Loaded: 0.000058 seconds\n",
            "Region Avg IOU: 0.086565, Class: 1.000000, Obj: 0.002774, No Obj: 0.002302, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.021515, Class: 1.000000, Obj: 0.010539, No Obj: 0.002247, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.370641, Class: 1.000000, Obj: 0.011728, No Obj: 0.002317, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.091456, Class: 1.000000, Obj: 0.014495, No Obj: 0.002299, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.056982, Class: 1.000000, Obj: 0.014037, No Obj: 0.002322, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.036015, Class: 1.000000, Obj: 0.012662, No Obj: 0.002215, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.315538, Class: 1.000000, Obj: 0.021084, No Obj: 0.002267, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.363602, Class: 1.000000, Obj: 0.010947, No Obj: 0.002200, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39860: 0.017250, 0.053737 avg loss, 0.000005 rate, 0.527462 seconds, 637760 images, 0.050890 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 608 x 608 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.615883, Class: 1.000000, Obj: 0.023036, No Obj: 0.002368, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.231351, Class: 1.000000, Obj: 0.016628, No Obj: 0.002302, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.150730, Class: 1.000000, Obj: 0.019709, No Obj: 0.002356, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.410360, Class: 1.000000, Obj: 0.005050, No Obj: 0.002301, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.269973, Class: 1.000000, Obj: 0.016550, No Obj: 0.002262, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.171474, Class: 1.000000, Obj: 0.032830, No Obj: 0.002331, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.281916, Class: 1.000000, Obj: 0.014503, No Obj: 0.002307, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.235843, Class: 1.000000, Obj: 0.015250, No Obj: 0.002285, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39861: 0.017894, 0.050153 avg loss, 0.000005 rate, 1.081390 seconds, 637776 images, 0.050586 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.380832, Class: 1.000000, Obj: 0.024747, No Obj: 0.002346, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.189590, Class: 1.000000, Obj: 0.021822, No Obj: 0.002312, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.316765, Class: 1.000000, Obj: 0.016122, No Obj: 0.002342, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.532926, Class: 1.000000, Obj: 0.015017, No Obj: 0.002264, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.190853, Class: 1.000000, Obj: 0.019187, No Obj: 0.002294, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.190775, Class: 1.000000, Obj: 0.016502, No Obj: 0.002273, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.248625, Class: 1.000000, Obj: 0.011501, No Obj: 0.002310, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.363394, Class: 1.000000, Obj: 0.005852, No Obj: 0.002264, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39862: 0.034025, 0.048540 avg loss, 0.000005 rate, 1.182063 seconds, 637792 images, 0.050498 hours left\n",
            "Loaded: 0.000051 seconds\n",
            "Region Avg IOU: 0.139733, Class: 1.000000, Obj: 0.027752, No Obj: 0.002314, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.595014, Class: 1.000000, Obj: 0.016871, No Obj: 0.002259, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.294536, Class: 1.000000, Obj: 0.009448, No Obj: 0.002281, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.248088, Class: 1.000000, Obj: 0.030824, No Obj: 0.002406, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.149877, Class: 1.000000, Obj: 0.015438, No Obj: 0.002286, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.333914, Class: 1.000000, Obj: 0.012941, No Obj: 0.002324, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.179893, Class: 1.000000, Obj: 0.013252, No Obj: 0.002251, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.549716, Class: 1.000000, Obj: 0.009278, No Obj: 0.002295, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39863: 0.018874, 0.045574 avg loss, 0.000005 rate, 1.171649 seconds, 637808 images, 0.050446 hours left\n",
            "Loaded: 0.000048 seconds\n",
            "Region Avg IOU: 0.330230, Class: 1.000000, Obj: 0.011909, No Obj: 0.002306, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.491141, Class: 1.000000, Obj: 0.017369, No Obj: 0.002280, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.462326, Class: 1.000000, Obj: 0.014193, No Obj: 0.002339, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.216803, Class: 1.000000, Obj: 0.015739, No Obj: 0.002272, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.350344, Class: 1.000000, Obj: 0.016104, No Obj: 0.002348, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.214808, Class: 1.000000, Obj: 0.014690, No Obj: 0.002320, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.336850, Class: 1.000000, Obj: 0.037651, No Obj: 0.002389, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.457514, Class: 1.000000, Obj: 0.026076, No Obj: 0.002368, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39864: 0.025029, 0.043519 avg loss, 0.000005 rate, 1.186202 seconds, 637824 images, 0.050387 hours left\n",
            "Loaded: 0.000061 seconds\n",
            "Region Avg IOU: 0.378216, Class: 1.000000, Obj: 0.018638, No Obj: 0.002341, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.423169, Class: 1.000000, Obj: 0.015113, No Obj: 0.002301, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.395410, Class: 1.000000, Obj: 0.026621, No Obj: 0.002273, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.231271, Class: 1.000000, Obj: 0.024141, No Obj: 0.002295, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.379137, Class: 1.000000, Obj: 0.020095, No Obj: 0.002249, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.291980, Class: 1.000000, Obj: 0.018545, No Obj: 0.002394, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.411070, Class: 1.000000, Obj: 0.021957, No Obj: 0.002400, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.537034, Class: 1.000000, Obj: 0.012300, No Obj: 0.002332, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39865: 0.021639, 0.041331 avg loss, 0.000005 rate, 1.177417 seconds, 637840 images, 0.050332 hours left\n",
            "Loaded: 0.000065 seconds\n",
            "Region Avg IOU: 0.268116, Class: 1.000000, Obj: 0.006941, No Obj: 0.002387, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.298483, Class: 1.000000, Obj: 0.019968, No Obj: 0.002332, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.327423, Class: 1.000000, Obj: 0.009362, No Obj: 0.002211, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.223203, Class: 1.000000, Obj: 0.014243, No Obj: 0.002363, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.235089, Class: 1.000000, Obj: 0.004877, No Obj: 0.002300, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.242875, Class: 1.000000, Obj: 0.009499, No Obj: 0.002301, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.244007, Class: 1.000000, Obj: 0.016113, No Obj: 0.002335, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.368326, Class: 1.000000, Obj: 0.013169, No Obj: 0.002317, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39866: 0.048106, 0.042009 avg loss, 0.000005 rate, 1.180833 seconds, 637856 images, 0.050270 hours left\n",
            "Loaded: 0.000048 seconds\n",
            "Region Avg IOU: 0.484322, Class: 1.000000, Obj: 0.016434, No Obj: 0.002297, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.408246, Class: 1.000000, Obj: 0.020140, No Obj: 0.002303, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.418473, Class: 1.000000, Obj: 0.010047, No Obj: 0.002329, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.347188, Class: 1.000000, Obj: 0.021686, No Obj: 0.002303, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.480962, Class: 1.000000, Obj: 0.025669, No Obj: 0.002330, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.216569, Class: 1.000000, Obj: 0.017628, No Obj: 0.002345, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.469605, Class: 1.000000, Obj: 0.006762, No Obj: 0.002260, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.157241, Class: 1.000000, Obj: 0.018916, No Obj: 0.002299, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39867: 0.024979, 0.040306 avg loss, 0.000005 rate, 1.176955 seconds, 637872 images, 0.050207 hours left\n",
            "Loaded: 0.000043 seconds\n",
            "Region Avg IOU: 0.251271, Class: 1.000000, Obj: 0.035862, No Obj: 0.002338, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.390670, Class: 1.000000, Obj: 0.017491, No Obj: 0.002330, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.211330, Class: 1.000000, Obj: 0.042413, No Obj: 0.002301, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.214373, Class: 1.000000, Obj: 0.017689, No Obj: 0.002414, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.433893, Class: 1.000000, Obj: 0.006130, No Obj: 0.002211, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.242359, Class: 1.000000, Obj: 0.021589, No Obj: 0.002363, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.235261, Class: 1.000000, Obj: 0.007475, No Obj: 0.002262, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.368883, Class: 1.000000, Obj: 0.019443, No Obj: 0.002323, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39868: 0.219168, 0.058192 avg loss, 0.000005 rate, 1.186603 seconds, 637888 images, 0.050139 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.261982, Class: 1.000000, Obj: 0.007687, No Obj: 0.002327, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.248270, Class: 1.000000, Obj: 0.023045, No Obj: 0.002295, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.233298, Class: 1.000000, Obj: 0.020984, No Obj: 0.002350, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.245882, Class: 1.000000, Obj: 0.015802, No Obj: 0.002391, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.246686, Class: 1.000000, Obj: 0.015042, No Obj: 0.002314, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.532954, Class: 1.000000, Obj: 0.007234, No Obj: 0.002230, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.345775, Class: 1.000000, Obj: 0.023113, No Obj: 0.002322, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.427775, Class: 1.000000, Obj: 0.021311, No Obj: 0.002359, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39869: 0.031973, 0.055570 avg loss, 0.000005 rate, 1.170697 seconds, 637904 images, 0.050073 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.513421, Class: 1.000000, Obj: 0.014143, No Obj: 0.002336, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.666669, Class: 1.000000, Obj: 0.011728, No Obj: 0.002232, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.159288, Class: 1.000000, Obj: 0.007946, No Obj: 0.002317, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.644749, Class: 1.000000, Obj: 0.026082, No Obj: 0.002317, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.126018, Class: 1.000000, Obj: 0.021802, No Obj: 0.002330, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.145889, Class: 1.000000, Obj: 0.008602, No Obj: 0.002251, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.502852, Class: 1.000000, Obj: 0.015054, No Obj: 0.002337, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.305747, Class: 1.000000, Obj: 0.016035, No Obj: 0.002340, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39870: 0.025529, 0.052566 avg loss, 0.000005 rate, 1.185651 seconds, 637920 images, 0.049998 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 608 x 608 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.139141, Class: 1.000000, Obj: 0.014241, No Obj: 0.002323, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.278706, Class: 1.000000, Obj: 0.014555, No Obj: 0.002322, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.132626, Class: 1.000000, Obj: 0.026277, No Obj: 0.002211, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.466913, Class: 1.000000, Obj: 0.012602, No Obj: 0.002328, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.361805, Class: 1.000000, Obj: 0.009016, No Obj: 0.002291, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.182647, Class: 1.000000, Obj: 0.021952, No Obj: 0.002307, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.307166, Class: 1.000000, Obj: 0.017508, No Obj: 0.002291, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.474652, Class: 1.000000, Obj: 0.030430, No Obj: 0.002373, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39871: 0.024921, 0.049801 avg loss, 0.000005 rate, 1.081672 seconds, 637936 images, 0.049927 hours left\n",
            "Loaded: 0.000046 seconds\n",
            "Region Avg IOU: 0.259309, Class: 1.000000, Obj: 0.011421, No Obj: 0.002245, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.521458, Class: 1.000000, Obj: 0.023582, No Obj: 0.002356, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.483990, Class: 1.000000, Obj: 0.018174, No Obj: 0.002259, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.392020, Class: 1.000000, Obj: 0.014025, No Obj: 0.002335, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.181482, Class: 1.000000, Obj: 0.031220, No Obj: 0.002353, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.270214, Class: 1.000000, Obj: 0.012882, No Obj: 0.002373, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.359195, Class: 1.000000, Obj: 0.026336, No Obj: 0.002282, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.355687, Class: 1.000000, Obj: 0.013769, No Obj: 0.002279, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39872: 0.045869, 0.049408 avg loss, 0.000005 rate, 1.179609 seconds, 637952 images, 0.049815 hours left\n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.449562, Class: 1.000000, Obj: 0.009526, No Obj: 0.002350, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.371480, Class: 1.000000, Obj: 0.013024, No Obj: 0.002315, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.121885, Class: 1.000000, Obj: 0.028981, No Obj: 0.002296, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.266768, Class: 1.000000, Obj: 0.016863, No Obj: 0.002285, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.198463, Class: 1.000000, Obj: 0.021951, No Obj: 0.002357, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.381923, Class: 1.000000, Obj: 0.010036, No Obj: 0.002311, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.576221, Class: 1.000000, Obj: 0.016248, No Obj: 0.002301, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.473474, Class: 1.000000, Obj: 0.023702, No Obj: 0.002340, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39873: 0.027248, 0.047192 avg loss, 0.000005 rate, 1.177083 seconds, 637968 images, 0.049736 hours left\n",
            "Loaded: 0.000039 seconds\n",
            "Region Avg IOU: 0.168674, Class: 1.000000, Obj: 0.026912, No Obj: 0.002261, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.361523, Class: 1.000000, Obj: 0.027802, No Obj: 0.002284, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.200957, Class: 1.000000, Obj: 0.025294, No Obj: 0.002348, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.118237, Class: 1.000000, Obj: 0.041515, No Obj: 0.002437, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.183143, Class: 1.000000, Obj: 0.031901, No Obj: 0.002313, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.452452, Class: 1.000000, Obj: 0.014245, No Obj: 0.002310, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.504750, Class: 1.000000, Obj: 0.014699, No Obj: 0.002244, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.205251, Class: 1.000000, Obj: 0.029645, No Obj: 0.002377, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39874: 0.050321, 0.047505 avg loss, 0.000005 rate, 1.185290 seconds, 637984 images, 0.049654 hours left\n",
            "Loaded: 0.000057 seconds\n",
            "Region Avg IOU: 0.179182, Class: 1.000000, Obj: 0.021487, No Obj: 0.002332, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.305129, Class: 1.000000, Obj: 0.021941, No Obj: 0.002334, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.303740, Class: 1.000000, Obj: 0.020470, No Obj: 0.002319, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.166478, Class: 1.000000, Obj: 0.012150, No Obj: 0.002322, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.383757, Class: 1.000000, Obj: 0.009847, No Obj: 0.002264, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.175241, Class: 1.000000, Obj: 0.015637, No Obj: 0.002336, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.359602, Class: 1.000000, Obj: 0.006658, No Obj: 0.002229, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.398609, Class: 1.000000, Obj: 0.024184, No Obj: 0.002306, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39875: 0.028658, 0.045620 avg loss, 0.000005 rate, 1.174371 seconds, 638000 images, 0.049573 hours left\n",
            "Loaded: 0.000055 seconds\n",
            "Region Avg IOU: 0.459486, Class: 1.000000, Obj: 0.015263, No Obj: 0.002246, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.238629, Class: 1.000000, Obj: 0.013913, No Obj: 0.002267, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.305531, Class: 1.000000, Obj: 0.025543, No Obj: 0.002311, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.395618, Class: 1.000000, Obj: 0.024063, No Obj: 0.002321, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.300474, Class: 1.000000, Obj: 0.008991, No Obj: 0.002352, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.231801, Class: 1.000000, Obj: 0.007175, No Obj: 0.002286, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.433808, Class: 1.000000, Obj: 0.020143, No Obj: 0.002307, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.435560, Class: 1.000000, Obj: 0.010545, No Obj: 0.002194, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39876: 0.049099, 0.045968 avg loss, 0.000005 rate, 1.183480 seconds, 638016 images, 0.049485 hours left\n",
            "Loaded: 0.000048 seconds\n",
            "Region Avg IOU: 0.522078, Class: 1.000000, Obj: 0.012669, No Obj: 0.002331, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.362495, Class: 1.000000, Obj: 0.004856, No Obj: 0.002204, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.210847, Class: 1.000000, Obj: 0.026636, No Obj: 0.002320, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.287520, Class: 1.000000, Obj: 0.021589, No Obj: 0.002302, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.438722, Class: 1.000000, Obj: 0.007421, No Obj: 0.002276, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.468112, Class: 1.000000, Obj: 0.021304, No Obj: 0.002291, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.194795, Class: 1.000000, Obj: 0.023662, No Obj: 0.002305, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.331222, Class: 1.000000, Obj: 0.013117, No Obj: 0.002285, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39877: 0.034649, 0.044836 avg loss, 0.000005 rate, 1.176832 seconds, 638032 images, 0.049397 hours left\n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.393129, Class: 1.000000, Obj: 0.010420, No Obj: 0.002156, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.142194, Class: 1.000000, Obj: 0.006041, No Obj: 0.002303, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.212136, Class: 1.000000, Obj: 0.039043, No Obj: 0.002286, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.441131, Class: 1.000000, Obj: 0.021537, No Obj: 0.002430, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.264011, Class: 1.000000, Obj: 0.016258, No Obj: 0.002337, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.386450, Class: 1.000000, Obj: 0.011433, No Obj: 0.002347, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.437618, Class: 1.000000, Obj: 0.030583, No Obj: 0.002368, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.377110, Class: 1.000000, Obj: 0.023566, No Obj: 0.002305, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39878: 0.075879, 0.047940 avg loss, 0.000005 rate, 1.178559 seconds, 638048 images, 0.049306 hours left\n",
            "Loaded: 0.000053 seconds\n",
            "Region Avg IOU: 0.239886, Class: 1.000000, Obj: 0.011851, No Obj: 0.002370, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.180754, Class: 1.000000, Obj: 0.038767, No Obj: 0.002255, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.119015, Class: 1.000000, Obj: 0.044203, No Obj: 0.002349, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.519777, Class: 1.000000, Obj: 0.016361, No Obj: 0.002303, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.264319, Class: 1.000000, Obj: 0.006960, No Obj: 0.002339, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.213694, Class: 1.000000, Obj: 0.019053, No Obj: 0.002463, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.411337, Class: 1.000000, Obj: 0.022953, No Obj: 0.002276, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.117078, Class: 1.000000, Obj: 0.022424, No Obj: 0.002404, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39879: 0.033278, 0.046474 avg loss, 0.000005 rate, 1.178262 seconds, 638064 images, 0.049212 hours left\n",
            "Loaded: 0.000059 seconds\n",
            "Region Avg IOU: 0.298028, Class: 1.000000, Obj: 0.011990, No Obj: 0.002292, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.278816, Class: 1.000000, Obj: 0.016410, No Obj: 0.002399, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.183826, Class: 1.000000, Obj: 0.023658, No Obj: 0.002344, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.390138, Class: 1.000000, Obj: 0.044013, No Obj: 0.002360, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.284423, Class: 1.000000, Obj: 0.032852, No Obj: 0.002294, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.548110, Class: 1.000000, Obj: 0.016794, No Obj: 0.002310, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.130855, Class: 1.000000, Obj: 0.018277, No Obj: 0.002356, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.441264, Class: 1.000000, Obj: 0.011125, No Obj: 0.002259, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39880: 0.026523, 0.044479 avg loss, 0.000005 rate, 1.186575 seconds, 638080 images, 0.049116 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 384 x 384 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000056 seconds\n",
            "Region Avg IOU: 0.283321, Class: 1.000000, Obj: 0.017553, No Obj: 0.002301, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.079368, Class: 1.000000, Obj: 0.013311, No Obj: 0.002307, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.136354, Class: 1.000000, Obj: 0.015296, No Obj: 0.002214, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.346273, Class: 1.000000, Obj: 0.018345, No Obj: 0.002310, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.208541, Class: 1.000000, Obj: 0.021373, No Obj: 0.002275, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.183210, Class: 1.000000, Obj: 0.017627, No Obj: 0.002126, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.247373, Class: 1.000000, Obj: 0.009250, No Obj: 0.002328, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.013205, Class: 1.000000, Obj: 0.014404, No Obj: 0.002266, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39881: 0.015155, 0.041547 avg loss, 0.000005 rate, 0.464426 seconds, 638096 images, 0.049020 hours left\n",
            "Loaded: 0.000054 seconds\n",
            "Region Avg IOU: 0.037986, Class: 1.000000, Obj: 0.021463, No Obj: 0.002279, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.133672, Class: 1.000000, Obj: 0.027482, No Obj: 0.002323, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.001160, Class: 1.000000, Obj: 0.007058, No Obj: 0.002296, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.172931, Class: 1.000000, Obj: 0.018129, No Obj: 0.002183, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.211576, Class: 1.000000, Obj: 0.015618, No Obj: 0.002275, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.017895, No Obj: 0.002256, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.170772, Class: 1.000000, Obj: 0.017444, No Obj: 0.002282, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.259542, Class: 1.000000, Obj: 0.013215, No Obj: 0.002259, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39882: 0.032356, 0.040628 avg loss, 0.000005 rate, 0.527416 seconds, 638112 images, 0.048684 hours left\n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.082630, Class: 1.000000, Obj: 0.014468, No Obj: 0.002300, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.001704, Class: 1.000000, Obj: 0.017074, No Obj: 0.002203, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.284081, Class: 1.000000, Obj: 0.012429, No Obj: 0.002224, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.003876, Class: 1.000000, Obj: 0.017623, No Obj: 0.002204, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.089400, Class: 1.000000, Obj: 0.012861, No Obj: 0.002180, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.055754, Class: 1.000000, Obj: 0.015864, No Obj: 0.002219, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.123624, Class: 1.000000, Obj: 0.011728, No Obj: 0.002259, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.128506, Class: 1.000000, Obj: 0.009006, No Obj: 0.002291, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39883: 0.020211, 0.038586 avg loss, 0.000005 rate, 0.518040 seconds, 638128 images, 0.048370 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.250660, Class: 1.000000, Obj: 0.010164, No Obj: 0.002302, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.142080, Class: 1.000000, Obj: 0.017120, No Obj: 0.002263, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.240922, Class: 1.000000, Obj: 0.015901, No Obj: 0.002274, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.097428, Class: 1.000000, Obj: 0.013828, No Obj: 0.002246, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.152311, Class: 1.000000, Obj: 0.013066, No Obj: 0.002182, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.141347, Class: 1.000000, Obj: 0.019562, No Obj: 0.002178, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.040274, Class: 1.000000, Obj: 0.019719, No Obj: 0.002173, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.078939, Class: 1.000000, Obj: 0.019588, No Obj: 0.002194, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39884: 0.018335, 0.036561 avg loss, 0.000005 rate, 0.526109 seconds, 638144 images, 0.048054 hours left\n",
            "Loaded: 0.000055 seconds\n",
            "Region Avg IOU: 0.129981, Class: 1.000000, Obj: 0.011466, No Obj: 0.002231, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.266090, Class: 1.000000, Obj: 0.013651, No Obj: 0.002257, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.245301, Class: 1.000000, Obj: 0.021106, No Obj: 0.002196, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.029688, Class: 1.000000, Obj: 0.012518, No Obj: 0.002245, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.169596, Class: 1.000000, Obj: 0.012663, No Obj: 0.002410, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.241165, Class: 1.000000, Obj: 0.020717, No Obj: 0.002314, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.011521, Class: 1.000000, Obj: 0.009493, No Obj: 0.002163, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.001591, Class: 1.000000, Obj: 0.011655, No Obj: 0.002302, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39885: 0.025802, 0.035485 avg loss, 0.000005 rate, 0.522378 seconds, 638160 images, 0.047743 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.387840, Class: 1.000000, Obj: 0.019561, No Obj: 0.002272, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.094256, Class: 1.000000, Obj: 0.010929, No Obj: 0.002295, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.090631, Class: 1.000000, Obj: 0.014623, No Obj: 0.002260, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.107605, Class: 1.000000, Obj: 0.013592, No Obj: 0.002319, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.098171, Class: 1.000000, Obj: 0.018351, No Obj: 0.002205, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.350630, Class: 1.000000, Obj: 0.010165, No Obj: 0.002217, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.168384, Class: 1.000000, Obj: 0.011406, No Obj: 0.002229, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.005722, Class: 1.000000, Obj: 0.022680, No Obj: 0.002330, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39886: 0.190372, 0.050974 avg loss, 0.000005 rate, 0.520652 seconds, 638176 images, 0.047433 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.016503, No Obj: 0.002214, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.137769, Class: 1.000000, Obj: 0.014856, No Obj: 0.002237, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.176835, Class: 1.000000, Obj: 0.024577, No Obj: 0.002269, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.313609, Class: 1.000000, Obj: 0.022792, No Obj: 0.002286, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.084651, Class: 1.000000, Obj: 0.013728, No Obj: 0.002262, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.080275, Class: 1.000000, Obj: 0.010888, No Obj: 0.002241, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.056156, Class: 1.000000, Obj: 0.012811, No Obj: 0.002262, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.228987, Class: 1.000000, Obj: 0.017292, No Obj: 0.002212, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39887: 0.025751, 0.048451 avg loss, 0.000005 rate, 0.525947 seconds, 638192 images, 0.047123 hours left\n",
            "Loaded: 0.000052 seconds\n",
            "Region Avg IOU: 0.257355, Class: 1.000000, Obj: 0.014428, No Obj: 0.002231, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.114208, Class: 1.000000, Obj: 0.008536, No Obj: 0.002233, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.086712, Class: 1.000000, Obj: 0.003682, No Obj: 0.002181, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.054764, Class: 1.000000, Obj: 0.017568, No Obj: 0.002292, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.094942, Class: 1.000000, Obj: 0.009814, No Obj: 0.002233, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.083263, Class: 1.000000, Obj: 0.013052, No Obj: 0.002208, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.029781, Class: 1.000000, Obj: 0.019600, No Obj: 0.002233, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.219755, Class: 1.000000, Obj: 0.015896, No Obj: 0.002324, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39888: 0.034351, 0.047041 avg loss, 0.000005 rate, 0.523010 seconds, 638208 images, 0.046817 hours left\n",
            "Loaded: 0.000047 seconds\n",
            "Region Avg IOU: 0.247412, Class: 1.000000, Obj: 0.025399, No Obj: 0.002334, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.614447, Class: 1.000000, Obj: 0.011163, No Obj: 0.002288, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.094411, Class: 1.000000, Obj: 0.019371, No Obj: 0.002196, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.101099, Class: 1.000000, Obj: 0.017713, No Obj: 0.002270, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.271200, Class: 1.000000, Obj: 0.013112, No Obj: 0.002263, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.240272, Class: 1.000000, Obj: 0.013263, No Obj: 0.002253, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.023850, Class: 1.000000, Obj: 0.021046, No Obj: 0.002206, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.093537, Class: 1.000000, Obj: 0.027872, No Obj: 0.002324, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39889: 0.021307, 0.044468 avg loss, 0.000005 rate, 0.515975 seconds, 638224 images, 0.046512 hours left\n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.000000, Class: 1.000000, Obj: 0.011402, No Obj: 0.002226, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.005567, Class: 1.000000, Obj: 0.011504, No Obj: 0.002242, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.315676, Class: 1.000000, Obj: 0.019170, No Obj: 0.002269, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.351360, Class: 1.000000, Obj: 0.013725, No Obj: 0.002320, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.375515, Class: 1.000000, Obj: 0.020097, No Obj: 0.002242, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.111671, Class: 1.000000, Obj: 0.011411, No Obj: 0.002291, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.105314, Class: 1.000000, Obj: 0.006283, No Obj: 0.002211, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.138077, Class: 1.000000, Obj: 0.016500, No Obj: 0.002149, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39890: 0.180755, 0.058097 avg loss, 0.000005 rate, 0.524123 seconds, 638240 images, 0.046206 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 576 x 576 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.173292, Class: 1.000000, Obj: 0.011667, No Obj: 0.002317, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.201286, Class: 1.000000, Obj: 0.024836, No Obj: 0.002366, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.294464, Class: 1.000000, Obj: 0.012926, No Obj: 0.002320, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.395622, Class: 1.000000, Obj: 0.020664, No Obj: 0.002342, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.148709, Class: 1.000000, Obj: 0.016116, No Obj: 0.002351, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.463446, Class: 1.000000, Obj: 0.011632, No Obj: 0.002315, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.264455, Class: 1.000000, Obj: 0.006159, No Obj: 0.002308, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.051921, Class: 1.000000, Obj: 0.009555, No Obj: 0.002325, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39891: 0.069865, 0.059273 avg loss, 0.000005 rate, 1.018205 seconds, 638256 images, 0.045904 hours left\n",
            "Loaded: 0.000054 seconds\n",
            "Region Avg IOU: 0.173061, Class: 1.000000, Obj: 0.010764, No Obj: 0.002305, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.149703, Class: 1.000000, Obj: 0.009508, No Obj: 0.002288, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.378491, Class: 1.000000, Obj: 0.020562, No Obj: 0.002316, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.441792, Class: 1.000000, Obj: 0.020559, No Obj: 0.002309, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.113439, Class: 1.000000, Obj: 0.013012, No Obj: 0.002349, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.169222, Class: 1.000000, Obj: 0.014152, No Obj: 0.002304, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.438715, Class: 1.000000, Obj: 0.034175, No Obj: 0.002300, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.224978, Class: 1.000000, Obj: 0.007151, No Obj: 0.002308, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39892: 0.578417, 0.111188 avg loss, 0.000005 rate, 1.103421 seconds, 638272 images, 0.045753 hours left\n",
            "Loaded: 0.000055 seconds\n",
            "Region Avg IOU: 0.127162, Class: 1.000000, Obj: 0.033420, No Obj: 0.002313, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.133897, Class: 1.000000, Obj: 0.012573, No Obj: 0.002320, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.453706, Class: 1.000000, Obj: 0.020058, No Obj: 0.002376, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.427277, Class: 1.000000, Obj: 0.039582, No Obj: 0.002411, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.386133, Class: 1.000000, Obj: 0.018405, No Obj: 0.002409, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.238818, Class: 1.000000, Obj: 0.015223, No Obj: 0.002323, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.474564, Class: 1.000000, Obj: 0.019567, No Obj: 0.002352, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.306792, Class: 1.000000, Obj: 0.018477, No Obj: 0.002355, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39893: 0.019596, 0.102029 avg loss, 0.000005 rate, 1.095721 seconds, 638288 images, 0.045627 hours left\n",
            "Loaded: 0.000069 seconds\n",
            "Region Avg IOU: 0.295377, Class: 1.000000, Obj: 0.010651, No Obj: 0.002289, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.107648, Class: 1.000000, Obj: 0.014550, No Obj: 0.002265, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.227224, Class: 1.000000, Obj: 0.010760, No Obj: 0.002327, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.359130, Class: 1.000000, Obj: 0.014537, No Obj: 0.002313, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.622085, Class: 1.000000, Obj: 0.008156, No Obj: 0.002237, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.235316, Class: 1.000000, Obj: 0.020181, No Obj: 0.002359, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.299155, Class: 1.000000, Obj: 0.019767, No Obj: 0.002356, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.193280, Class: 1.000000, Obj: 0.007135, No Obj: 0.002310, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39894: 0.018038, 0.093630 avg loss, 0.000005 rate, 1.106795 seconds, 638304 images, 0.045496 hours left\n",
            "Loaded: 0.000055 seconds\n",
            "Region Avg IOU: 0.239242, Class: 1.000000, Obj: 0.025334, No Obj: 0.002306, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.159890, Class: 1.000000, Obj: 0.014993, No Obj: 0.002239, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.505910, Class: 1.000000, Obj: 0.019483, No Obj: 0.002340, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.399238, Class: 1.000000, Obj: 0.032148, No Obj: 0.002367, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.236428, Class: 1.000000, Obj: 0.019133, No Obj: 0.002382, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.268746, Class: 1.000000, Obj: 0.023117, No Obj: 0.002364, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.291307, Class: 1.000000, Obj: 0.020313, No Obj: 0.002330, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.366970, Class: 1.000000, Obj: 0.020458, No Obj: 0.002254, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39895: 0.060291, 0.090296 avg loss, 0.000005 rate, 1.094105 seconds, 638320 images, 0.045367 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.267236, Class: 1.000000, Obj: 0.012953, No Obj: 0.002352, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.688565, Class: 1.000000, Obj: 0.008641, No Obj: 0.002362, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.306210, Class: 1.000000, Obj: 0.021555, No Obj: 0.002307, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.314684, Class: 1.000000, Obj: 0.010827, No Obj: 0.002208, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.476938, Class: 1.000000, Obj: 0.016997, No Obj: 0.002355, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.137563, Class: 1.000000, Obj: 0.014678, No Obj: 0.002328, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.221119, Class: 1.000000, Obj: 0.018626, No Obj: 0.002294, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.207098, Class: 1.000000, Obj: 0.010330, No Obj: 0.002299, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39896: 0.029813, 0.084247 avg loss, 0.000005 rate, 1.108941 seconds, 638336 images, 0.045233 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.231086, Class: 1.000000, Obj: 0.022399, No Obj: 0.002311, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.203850, Class: 1.000000, Obj: 0.011230, No Obj: 0.002317, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.419283, Class: 1.000000, Obj: 0.010335, No Obj: 0.002270, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.230367, Class: 1.000000, Obj: 0.017332, No Obj: 0.002311, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.441912, Class: 1.000000, Obj: 0.011622, No Obj: 0.002273, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.511433, Class: 1.000000, Obj: 0.019482, No Obj: 0.002264, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.097911, Class: 1.000000, Obj: 0.019070, No Obj: 0.002346, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.343823, Class: 1.000000, Obj: 0.021336, No Obj: 0.002309, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39897: 0.021859, 0.078009 avg loss, 0.000005 rate, 1.089081 seconds, 638352 images, 0.045101 hours left\n",
            "Loaded: 0.000037 seconds\n",
            "Region Avg IOU: 0.379538, Class: 1.000000, Obj: 0.007796, No Obj: 0.002354, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.340668, Class: 1.000000, Obj: 0.021999, No Obj: 0.002403, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.444729, Class: 1.000000, Obj: 0.014597, No Obj: 0.002357, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.184021, Class: 1.000000, Obj: 0.004230, No Obj: 0.002284, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.199253, Class: 1.000000, Obj: 0.035961, No Obj: 0.002516, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.227309, Class: 1.000000, Obj: 0.022203, No Obj: 0.002365, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.244345, Class: 1.000000, Obj: 0.017352, No Obj: 0.002343, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.510819, Class: 1.000000, Obj: 0.021238, No Obj: 0.002332, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39898: 0.336835, 0.103891 avg loss, 0.000005 rate, 1.106582 seconds, 638368 images, 0.044961 hours left\n",
            "Loaded: 0.000039 seconds\n",
            "Region Avg IOU: 0.460067, Class: 1.000000, Obj: 0.009687, No Obj: 0.002209, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.148346, Class: 1.000000, Obj: 0.009826, No Obj: 0.002363, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.316126, Class: 1.000000, Obj: 0.016979, No Obj: 0.002331, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.389975, Class: 1.000000, Obj: 0.017237, No Obj: 0.002318, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.661833, Class: 1.000000, Obj: 0.018075, No Obj: 0.002312, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.121965, Class: 1.000000, Obj: 0.015452, No Obj: 0.002271, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.592928, Class: 1.000000, Obj: 0.020556, No Obj: 0.002265, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.282782, Class: 1.000000, Obj: 0.007839, No Obj: 0.002360, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39899: 0.040973, 0.097599 avg loss, 0.000005 rate, 1.093507 seconds, 638384 images, 0.044825 hours left\n",
            "Loaded: 0.000043 seconds\n",
            "Region Avg IOU: 0.326377, Class: 1.000000, Obj: 0.015535, No Obj: 0.002295, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.346977, Class: 1.000000, Obj: 0.006090, No Obj: 0.002322, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.452839, Class: 1.000000, Obj: 0.020434, No Obj: 0.002281, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.200211, Class: 1.000000, Obj: 0.020276, No Obj: 0.002266, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.175319, Class: 1.000000, Obj: 0.036526, No Obj: 0.002297, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.554745, Class: 1.000000, Obj: 0.010981, No Obj: 0.002393, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.177053, Class: 1.000000, Obj: 0.023590, No Obj: 0.002266, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.345576, Class: 1.000000, Obj: 0.025309, No Obj: 0.002287, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39900: 0.032131, 0.091053 avg loss, 0.000005 rate, 1.104158 seconds, 638400 images, 0.044684 hours left\n",
            "Saving weights to /content/drive/MyDrive/Yolov4/backup/yolov4Custom_last.weights\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 512 x 512 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.033565 seconds\n",
            "Region Avg IOU: 0.274008, Class: 1.000000, Obj: 0.016767, No Obj: 0.002400, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.306896, Class: 1.000000, Obj: 0.010165, No Obj: 0.002350, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.434930, Class: 1.000000, Obj: 0.033076, No Obj: 0.002350, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.125878, Class: 1.000000, Obj: 0.015059, No Obj: 0.002349, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.425316, Class: 1.000000, Obj: 0.020042, No Obj: 0.002312, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.258760, Class: 1.000000, Obj: 0.022172, No Obj: 0.002411, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.144552, Class: 1.000000, Obj: 0.015988, No Obj: 0.002383, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.264245, Class: 1.000000, Obj: 0.016888, No Obj: 0.002304, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39901: 0.012556, 0.083203 avg loss, 0.000005 rate, 0.669747 seconds, 638416 images, 0.044544 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.320446, Class: 1.000000, Obj: 0.019172, No Obj: 0.002372, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.127072, Class: 1.000000, Obj: 0.022399, No Obj: 0.002302, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.288064, Class: 1.000000, Obj: 0.030770, No Obj: 0.002347, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.102569, Class: 1.000000, Obj: 0.028072, No Obj: 0.002331, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.197713, Class: 1.000000, Obj: 0.025943, No Obj: 0.002356, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.385957, Class: 1.000000, Obj: 0.006159, No Obj: 0.002306, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.446744, Class: 1.000000, Obj: 0.031917, No Obj: 0.002392, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.227080, Class: 1.000000, Obj: 0.010613, No Obj: 0.002264, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39902: 0.063576, 0.081240 avg loss, 0.000005 rate, 0.749574 seconds, 638432 images, 0.044292 hours left\n",
            "Loaded: 0.000050 seconds\n",
            "Region Avg IOU: 0.264202, Class: 1.000000, Obj: 0.020172, No Obj: 0.002349, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.330137, Class: 1.000000, Obj: 0.024945, No Obj: 0.002398, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.137450, Class: 1.000000, Obj: 0.027805, No Obj: 0.002319, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.177692, Class: 1.000000, Obj: 0.031543, No Obj: 0.002396, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.200141, Class: 1.000000, Obj: 0.017664, No Obj: 0.002342, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.578004, Class: 1.000000, Obj: 0.032516, No Obj: 0.002337, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.351357, Class: 1.000000, Obj: 0.018731, No Obj: 0.002416, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.527769, Class: 1.000000, Obj: 0.006884, No Obj: 0.002292, Avg Recall: 1.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39903: 0.030408, 0.076157 avg loss, 0.000005 rate, 0.726932 seconds, 638448 images, 0.044053 hours left\n",
            "Loaded: 0.000053 seconds\n",
            "Region Avg IOU: 0.389382, Class: 1.000000, Obj: 0.036911, No Obj: 0.002520, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.522533, Class: 1.000000, Obj: 0.019420, No Obj: 0.002375, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.048808, Class: 1.000000, Obj: 0.045705, No Obj: 0.002428, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.269703, Class: 1.000000, Obj: 0.026562, No Obj: 0.002344, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.313395, Class: 1.000000, Obj: 0.005037, No Obj: 0.002347, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.312816, Class: 1.000000, Obj: 0.014822, No Obj: 0.002253, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.195970, Class: 1.000000, Obj: 0.012917, No Obj: 0.002341, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.486491, Class: 1.000000, Obj: 0.024920, No Obj: 0.002348, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39904: 0.030964, 0.071638 avg loss, 0.000005 rate, 0.741914 seconds, 638464 images, 0.043808 hours left\n",
            "Loaded: 0.000063 seconds\n",
            "Region Avg IOU: 0.395250, Class: 1.000000, Obj: 0.014214, No Obj: 0.002338, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.322577, Class: 1.000000, Obj: 0.015159, No Obj: 0.002363, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.236965, Class: 1.000000, Obj: 0.014349, No Obj: 0.002340, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.363132, Class: 1.000000, Obj: 0.023486, No Obj: 0.002341, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.296208, Class: 1.000000, Obj: 0.010717, No Obj: 0.002244, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.014329, Class: 1.000000, Obj: 0.029342, No Obj: 0.002360, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.077620, Class: 1.000000, Obj: 0.013039, No Obj: 0.002350, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.314803, Class: 1.000000, Obj: 0.025521, No Obj: 0.002335, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39905: 0.045085, 0.068982 avg loss, 0.000005 rate, 0.730235 seconds, 638480 images, 0.043568 hours left\n",
            "Loaded: 0.000057 seconds\n",
            "Region Avg IOU: 0.226178, Class: 1.000000, Obj: 0.014485, No Obj: 0.002344, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.125695, Class: 1.000000, Obj: 0.022444, No Obj: 0.002382, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.394624, Class: 1.000000, Obj: 0.023429, No Obj: 0.002392, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.084660, Class: 1.000000, Obj: 0.029672, No Obj: 0.002397, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.421109, Class: 1.000000, Obj: 0.038878, No Obj: 0.002342, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.113594, Class: 1.000000, Obj: 0.009812, No Obj: 0.002396, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.312984, Class: 1.000000, Obj: 0.021907, No Obj: 0.002375, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.205899, Class: 1.000000, Obj: 0.014830, No Obj: 0.002361, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39906: 0.031366, 0.065221 avg loss, 0.000005 rate, 0.746831 seconds, 638496 images, 0.043325 hours left\n",
            "Loaded: 0.000055 seconds\n",
            "Region Avg IOU: 0.179851, Class: 1.000000, Obj: 0.011382, No Obj: 0.002325, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.081463, Class: 1.000000, Obj: 0.025001, No Obj: 0.002365, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.348179, Class: 1.000000, Obj: 0.029082, No Obj: 0.002336, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.163823, Class: 1.000000, Obj: 0.010799, No Obj: 0.002317, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.139376, Class: 1.000000, Obj: 0.029522, No Obj: 0.002385, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.112554, Class: 1.000000, Obj: 0.029953, No Obj: 0.002298, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.292892, Class: 1.000000, Obj: 0.024862, No Obj: 0.002357, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.063219, Class: 1.000000, Obj: 0.012196, No Obj: 0.002315, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39907: 0.016609, 0.060359 avg loss, 0.000005 rate, 0.740103 seconds, 638512 images, 0.043087 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.083096, Class: 1.000000, Obj: 0.011576, No Obj: 0.002365, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.330807, Class: 1.000000, Obj: 0.008798, No Obj: 0.002347, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.339937, Class: 1.000000, Obj: 0.019054, No Obj: 0.002356, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.071892, Class: 1.000000, Obj: 0.022978, No Obj: 0.002326, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.198872, Class: 1.000000, Obj: 0.016852, No Obj: 0.002370, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.135373, Class: 1.000000, Obj: 0.023801, No Obj: 0.002302, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.074783, Class: 1.000000, Obj: 0.021813, No Obj: 0.002293, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.122912, Class: 1.000000, Obj: 0.013857, No Obj: 0.002277, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39908: 0.066127, 0.060936 avg loss, 0.000005 rate, 0.741824 seconds, 638528 images, 0.042847 hours left\n",
            "Loaded: 0.000055 seconds\n",
            "Region Avg IOU: 0.093656, Class: 1.000000, Obj: 0.025715, No Obj: 0.002369, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.035643, Class: 1.000000, Obj: 0.025478, No Obj: 0.002309, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.216526, Class: 1.000000, Obj: 0.013477, No Obj: 0.002256, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.219469, Class: 1.000000, Obj: 0.005746, No Obj: 0.002322, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.382657, Class: 1.000000, Obj: 0.015059, No Obj: 0.002300, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.511443, Class: 1.000000, Obj: 0.023825, No Obj: 0.002257, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.154979, Class: 1.000000, Obj: 0.012685, No Obj: 0.002309, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.280700, Class: 1.000000, Obj: 0.011768, No Obj: 0.002350, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39909: 0.021510, 0.056994 avg loss, 0.000005 rate, 0.730975 seconds, 638544 images, 0.042608 hours left\n",
            "Loaded: 0.000050 seconds\n",
            "Region Avg IOU: 0.262510, Class: 1.000000, Obj: 0.012347, No Obj: 0.002371, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.300758, Class: 1.000000, Obj: 0.020279, No Obj: 0.002319, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.225265, Class: 1.000000, Obj: 0.013582, No Obj: 0.002257, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.291333, Class: 1.000000, Obj: 0.022963, No Obj: 0.002344, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.188957, Class: 1.000000, Obj: 0.016003, No Obj: 0.002253, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.179288, Class: 1.000000, Obj: 0.020407, No Obj: 0.002338, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.283602, Class: 1.000000, Obj: 0.011984, No Obj: 0.002316, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.349966, Class: 1.000000, Obj: 0.010303, No Obj: 0.002346, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39910: 0.016869, 0.052981 avg loss, 0.000005 rate, 0.740912 seconds, 638560 images, 0.042367 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 672 x 672 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000057 seconds\n",
            "Region Avg IOU: 0.376248, Class: 1.000000, Obj: 0.018980, No Obj: 0.002265, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.285514, Class: 1.000000, Obj: 0.010855, No Obj: 0.002205, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.331182, Class: 1.000000, Obj: 0.021722, No Obj: 0.002356, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.450738, Class: 1.000000, Obj: 0.025385, No Obj: 0.002301, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.307161, Class: 1.000000, Obj: 0.007054, No Obj: 0.002289, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.446576, Class: 1.000000, Obj: 0.019273, No Obj: 0.002278, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.307004, Class: 1.000000, Obj: 0.040546, No Obj: 0.002345, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.513415, Class: 1.000000, Obj: 0.015722, No Obj: 0.002325, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39911: 0.021147, 0.049798 avg loss, 0.000005 rate, 1.238547 seconds, 638576 images, 0.042128 hours left\n",
            "Loaded: 0.000039 seconds\n",
            "Region Avg IOU: 0.026994, Class: 1.000000, Obj: 0.017097, No Obj: 0.002239, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.243738, Class: 1.000000, Obj: 0.018533, No Obj: 0.002342, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.258651, Class: 1.000000, Obj: 0.010359, No Obj: 0.002203, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.494452, Class: 1.000000, Obj: 0.031861, No Obj: 0.002280, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.433197, Class: 1.000000, Obj: 0.013961, No Obj: 0.002244, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.220244, Class: 1.000000, Obj: 0.013725, No Obj: 0.002317, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.319276, Class: 1.000000, Obj: 0.018680, No Obj: 0.002300, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.249667, Class: 1.000000, Obj: 0.020087, No Obj: 0.002317, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39912: 0.024350, 0.047253 avg loss, 0.000005 rate, 1.365750 seconds, 638592 images, 0.042013 hours left\n",
            "Loaded: 0.000050 seconds\n",
            "Region Avg IOU: 0.539514, Class: 1.000000, Obj: 0.016616, No Obj: 0.002231, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.324507, Class: 1.000000, Obj: 0.020206, No Obj: 0.002278, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.518107, Class: 1.000000, Obj: 0.007641, No Obj: 0.002241, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.309068, Class: 1.000000, Obj: 0.015560, No Obj: 0.002350, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.519429, Class: 1.000000, Obj: 0.016093, No Obj: 0.002263, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.272545, Class: 1.000000, Obj: 0.013515, No Obj: 0.002338, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.494984, Class: 1.000000, Obj: 0.023450, No Obj: 0.002290, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.244590, Class: 1.000000, Obj: 0.036208, No Obj: 0.002421, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39913: 0.034475, 0.045975 avg loss, 0.000005 rate, 1.358928 seconds, 638608 images, 0.041927 hours left\n",
            "Loaded: 0.000048 seconds\n",
            "Region Avg IOU: 0.315402, Class: 1.000000, Obj: 0.021628, No Obj: 0.002376, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.287061, Class: 1.000000, Obj: 0.012207, No Obj: 0.002296, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.372539, Class: 1.000000, Obj: 0.016838, No Obj: 0.002282, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.482514, Class: 1.000000, Obj: 0.008062, No Obj: 0.002232, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.271703, Class: 1.000000, Obj: 0.017049, No Obj: 0.002232, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.278599, Class: 1.000000, Obj: 0.030064, No Obj: 0.002367, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.514653, Class: 1.000000, Obj: 0.021690, No Obj: 0.002339, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.282289, Class: 1.000000, Obj: 0.019738, No Obj: 0.002266, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39914: 0.029995, 0.044377 avg loss, 0.000005 rate, 1.365563 seconds, 638624 images, 0.041836 hours left\n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.401252, Class: 1.000000, Obj: 0.021502, No Obj: 0.002309, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.460880, Class: 1.000000, Obj: 0.021124, No Obj: 0.002433, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.461601, Class: 1.000000, Obj: 0.015993, No Obj: 0.002236, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.361951, Class: 1.000000, Obj: 0.030633, No Obj: 0.002417, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.434140, Class: 1.000000, Obj: 0.017845, No Obj: 0.002315, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.375765, Class: 1.000000, Obj: 0.011976, No Obj: 0.002302, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.334093, Class: 1.000000, Obj: 0.023105, No Obj: 0.002264, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.390673, Class: 1.000000, Obj: 0.011447, No Obj: 0.002287, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39915: 0.038326, 0.043772 avg loss, 0.000005 rate, 1.356847 seconds, 638640 images, 0.041744 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.300578, Class: 1.000000, Obj: 0.010930, No Obj: 0.002270, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.468538, Class: 1.000000, Obj: 0.008150, No Obj: 0.002330, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.249066, Class: 1.000000, Obj: 0.010582, No Obj: 0.002244, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.355714, Class: 1.000000, Obj: 0.012433, No Obj: 0.002295, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.569510, Class: 1.000000, Obj: 0.015415, No Obj: 0.002294, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.468338, Class: 1.000000, Obj: 0.018271, No Obj: 0.002269, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.208419, Class: 1.000000, Obj: 0.011528, No Obj: 0.002314, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.365456, Class: 1.000000, Obj: 0.013692, No Obj: 0.002202, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39916: 0.043147, 0.043710 avg loss, 0.000005 rate, 1.359210 seconds, 638656 images, 0.041647 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.361237, Class: 1.000000, Obj: 0.006831, No Obj: 0.002113, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.366159, Class: 1.000000, Obj: 0.016516, No Obj: 0.002294, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.261984, Class: 1.000000, Obj: 0.007940, No Obj: 0.002277, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.315188, Class: 1.000000, Obj: 0.010383, No Obj: 0.002178, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.407917, Class: 1.000000, Obj: 0.018899, No Obj: 0.002229, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.079378, Class: 1.000000, Obj: 0.016700, No Obj: 0.002354, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.427451, Class: 1.000000, Obj: 0.018700, No Obj: 0.002279, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.398670, Class: 1.000000, Obj: 0.015293, No Obj: 0.002262, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39917: 0.144650, 0.053804 avg loss, 0.000005 rate, 1.367479 seconds, 638672 images, 0.041548 hours left\n",
            "Loaded: 0.000061 seconds\n",
            "Region Avg IOU: 0.509043, Class: 1.000000, Obj: 0.024694, No Obj: 0.002281, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.272272, Class: 1.000000, Obj: 0.013494, No Obj: 0.002232, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.423886, Class: 1.000000, Obj: 0.040948, No Obj: 0.002374, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.373372, Class: 1.000000, Obj: 0.006137, No Obj: 0.002255, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.293421, Class: 1.000000, Obj: 0.029034, No Obj: 0.002265, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.524399, Class: 1.000000, Obj: 0.007903, No Obj: 0.002179, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.511798, Class: 1.000000, Obj: 0.013100, No Obj: 0.002233, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.249641, Class: 1.000000, Obj: 0.015083, No Obj: 0.002284, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39918: 0.030663, 0.051490 avg loss, 0.000005 rate, 1.360739 seconds, 638688 images, 0.041448 hours left\n",
            "Loaded: 0.000064 seconds\n",
            "Region Avg IOU: 0.316502, Class: 1.000000, Obj: 0.007772, No Obj: 0.002317, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.214770, Class: 1.000000, Obj: 0.011573, No Obj: 0.002291, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.411057, Class: 1.000000, Obj: 0.015977, No Obj: 0.002190, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.382541, Class: 1.000000, Obj: 0.036339, No Obj: 0.002325, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.311601, Class: 1.000000, Obj: 0.027426, No Obj: 0.002393, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.319165, Class: 1.000000, Obj: 0.009108, No Obj: 0.002223, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.676666, Class: 1.000000, Obj: 0.020994, No Obj: 0.002326, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.410266, Class: 1.000000, Obj: 0.017353, No Obj: 0.002316, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39919: 0.064700, 0.052811 avg loss, 0.000005 rate, 1.361068 seconds, 638704 images, 0.041343 hours left\n",
            "Loaded: 0.000055 seconds\n",
            "Region Avg IOU: 0.220195, Class: 1.000000, Obj: 0.019156, No Obj: 0.002271, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.331393, Class: 1.000000, Obj: 0.027016, No Obj: 0.002279, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.286902, Class: 1.000000, Obj: 0.008144, No Obj: 0.002292, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.420814, Class: 1.000000, Obj: 0.015293, No Obj: 0.002287, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.355122, Class: 1.000000, Obj: 0.021758, No Obj: 0.002247, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.184970, Class: 1.000000, Obj: 0.010612, No Obj: 0.002335, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.473731, Class: 1.000000, Obj: 0.037949, No Obj: 0.002346, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.194605, Class: 1.000000, Obj: 0.011065, No Obj: 0.002290, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39920: 0.136675, 0.061197 avg loss, 0.000005 rate, 1.357334 seconds, 638720 images, 0.041236 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 672 x 672 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000039 seconds\n",
            "Region Avg IOU: 0.464767, Class: 1.000000, Obj: 0.025946, No Obj: 0.002257, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.330564, Class: 1.000000, Obj: 0.005588, No Obj: 0.002133, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.633521, Class: 1.000000, Obj: 0.021914, No Obj: 0.002306, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.473502, Class: 1.000000, Obj: 0.017100, No Obj: 0.002298, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.339106, Class: 1.000000, Obj: 0.015846, No Obj: 0.002266, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.320813, Class: 1.000000, Obj: 0.012109, No Obj: 0.002283, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.269303, Class: 1.000000, Obj: 0.011273, No Obj: 0.002253, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.303536, Class: 1.000000, Obj: 0.017556, No Obj: 0.002300, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39921: 0.065305, 0.061608 avg loss, 0.000005 rate, 1.261217 seconds, 638736 images, 0.041125 hours left\n",
            "Loaded: 0.000054 seconds\n",
            "Region Avg IOU: 0.280979, Class: 1.000000, Obj: 0.006227, No Obj: 0.002234, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.379895, Class: 1.000000, Obj: 0.006333, No Obj: 0.002282, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.504904, Class: 1.000000, Obj: 0.010679, No Obj: 0.002265, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.475706, Class: 1.000000, Obj: 0.016934, No Obj: 0.002221, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.262300, Class: 1.000000, Obj: 0.024333, No Obj: 0.002321, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.384899, Class: 1.000000, Obj: 0.023095, No Obj: 0.002279, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.506153, Class: 1.000000, Obj: 0.010323, No Obj: 0.002330, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.412816, Class: 1.000000, Obj: 0.017313, No Obj: 0.002238, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39922: 0.073009, 0.062748 avg loss, 0.000005 rate, 1.359922 seconds, 638752 images, 0.040991 hours left\n",
            "Loaded: 0.000048 seconds\n",
            "Region Avg IOU: 0.341014, Class: 1.000000, Obj: 0.021516, No Obj: 0.002231, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.598400, Class: 1.000000, Obj: 0.014836, No Obj: 0.002276, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.300633, Class: 1.000000, Obj: 0.012875, No Obj: 0.002303, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.182800, Class: 1.000000, Obj: 0.022939, No Obj: 0.002304, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.310928, Class: 1.000000, Obj: 0.012777, No Obj: 0.002297, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.327090, Class: 1.000000, Obj: 0.007251, No Obj: 0.002260, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.381193, Class: 1.000000, Obj: 0.013525, No Obj: 0.002200, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.397916, Class: 1.000000, Obj: 0.012617, No Obj: 0.002277, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39923: 0.046464, 0.061120 avg loss, 0.000005 rate, 1.358657 seconds, 638768 images, 0.040875 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.546805, Class: 1.000000, Obj: 0.017295, No Obj: 0.002254, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.159400, Class: 1.000000, Obj: 0.015299, No Obj: 0.002339, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.356382, Class: 1.000000, Obj: 0.008593, No Obj: 0.002375, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.423922, Class: 1.000000, Obj: 0.015369, No Obj: 0.002272, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.511169, Class: 1.000000, Obj: 0.025635, No Obj: 0.002423, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.369462, Class: 1.000000, Obj: 0.006279, No Obj: 0.002267, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.159622, Class: 1.000000, Obj: 0.025789, No Obj: 0.002317, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.434215, Class: 1.000000, Obj: 0.018855, No Obj: 0.002256, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39924: 0.044949, 0.059503 avg loss, 0.000005 rate, 1.356861 seconds, 638784 images, 0.040757 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.618335, Class: 1.000000, Obj: 0.011624, No Obj: 0.002314, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.349336, Class: 1.000000, Obj: 0.018555, No Obj: 0.002291, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.207882, Class: 1.000000, Obj: 0.028545, No Obj: 0.002376, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.348844, Class: 1.000000, Obj: 0.024569, No Obj: 0.002330, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.533014, Class: 1.000000, Obj: 0.012119, No Obj: 0.002274, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.402699, Class: 1.000000, Obj: 0.011341, No Obj: 0.002231, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.208161, Class: 1.000000, Obj: 0.018512, No Obj: 0.002317, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.502256, Class: 1.000000, Obj: 0.013803, No Obj: 0.002314, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39925: 0.044126, 0.057965 avg loss, 0.000005 rate, 1.359652 seconds, 638800 images, 0.040636 hours left\n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.495748, Class: 1.000000, Obj: 0.015584, No Obj: 0.002296, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.516072, Class: 1.000000, Obj: 0.031649, No Obj: 0.002319, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.188072, Class: 1.000000, Obj: 0.007414, No Obj: 0.002221, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.296627, Class: 1.000000, Obj: 0.025701, No Obj: 0.002277, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.224337, Class: 1.000000, Obj: 0.026489, No Obj: 0.002311, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.447190, Class: 1.000000, Obj: 0.037294, No Obj: 0.002370, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.196233, Class: 1.000000, Obj: 0.013177, No Obj: 0.002224, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.431189, Class: 1.000000, Obj: 0.017179, No Obj: 0.002366, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39926: 0.034210, 0.055589 avg loss, 0.000005 rate, 1.358705 seconds, 638816 images, 0.040513 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.366186, Class: 1.000000, Obj: 0.017992, No Obj: 0.002211, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.277494, Class: 1.000000, Obj: 0.019013, No Obj: 0.002351, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.391772, Class: 1.000000, Obj: 0.016724, No Obj: 0.002255, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.415997, Class: 1.000000, Obj: 0.007559, No Obj: 0.002222, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.480714, Class: 1.000000, Obj: 0.015891, No Obj: 0.002157, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.213731, Class: 1.000000, Obj: 0.019809, No Obj: 0.002201, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.640958, Class: 1.000000, Obj: 0.014239, No Obj: 0.002353, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.375520, Class: 1.000000, Obj: 0.007142, No Obj: 0.002244, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39927: 0.044443, 0.054475 avg loss, 0.000005 rate, 1.356626 seconds, 638832 images, 0.040387 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.235144, Class: 1.000000, Obj: 0.013832, No Obj: 0.002190, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.323375, Class: 1.000000, Obj: 0.008080, No Obj: 0.002247, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.226054, Class: 1.000000, Obj: 0.034526, No Obj: 0.002295, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.273391, Class: 1.000000, Obj: 0.013601, No Obj: 0.002320, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.356265, Class: 1.000000, Obj: 0.026547, No Obj: 0.002348, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.482596, Class: 1.000000, Obj: 0.023330, No Obj: 0.002289, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.297037, Class: 1.000000, Obj: 0.005793, No Obj: 0.002169, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.327677, Class: 1.000000, Obj: 0.014881, No Obj: 0.002246, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39928: 0.156116, 0.064639 avg loss, 0.000005 rate, 1.359005 seconds, 638848 images, 0.040258 hours left\n",
            "Loaded: 0.000060 seconds\n",
            "Region Avg IOU: 0.360459, Class: 1.000000, Obj: 0.007178, No Obj: 0.002234, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.438141, Class: 1.000000, Obj: 0.010092, No Obj: 0.002194, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.320694, Class: 1.000000, Obj: 0.018330, No Obj: 0.002270, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.235879, Class: 1.000000, Obj: 0.020744, No Obj: 0.002279, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.284489, Class: 1.000000, Obj: 0.012300, No Obj: 0.002274, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.494108, Class: 1.000000, Obj: 0.009957, No Obj: 0.002215, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.536729, Class: 1.000000, Obj: 0.021251, No Obj: 0.002365, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.266060, Class: 1.000000, Obj: 0.020810, No Obj: 0.002256, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39929: 0.031956, 0.061371 avg loss, 0.000005 rate, 1.357849 seconds, 638864 images, 0.040128 hours left\n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.209589, Class: 1.000000, Obj: 0.023982, No Obj: 0.002367, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.320002, Class: 1.000000, Obj: 0.031716, No Obj: 0.002346, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.207379, Class: 1.000000, Obj: 0.010492, No Obj: 0.002246, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.372539, Class: 1.000000, Obj: 0.008369, No Obj: 0.002175, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.345669, Class: 1.000000, Obj: 0.023635, No Obj: 0.002299, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.136317, Class: 1.000000, Obj: 0.022140, No Obj: 0.002318, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.252467, Class: 1.000000, Obj: 0.012132, No Obj: 0.002303, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.304848, Class: 1.000000, Obj: 0.021021, No Obj: 0.002358, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39930: 0.204425, 0.075676 avg loss, 0.000005 rate, 1.359844 seconds, 638880 images, 0.039994 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 672 x 672 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.309331, Class: 1.000000, Obj: 0.029920, No Obj: 0.002351, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.436109, Class: 1.000000, Obj: 0.006129, No Obj: 0.002218, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.077396, Class: 1.000000, Obj: 0.015008, No Obj: 0.002276, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.346792, Class: 1.000000, Obj: 0.029979, No Obj: 0.002340, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.204926, Class: 1.000000, Obj: 0.005000, No Obj: 0.002259, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.239171, Class: 1.000000, Obj: 0.011272, No Obj: 0.002259, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.186403, Class: 1.000000, Obj: 0.008553, No Obj: 0.002328, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.445762, Class: 1.000000, Obj: 0.016551, No Obj: 0.002223, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39931: 0.268000, 0.094908 avg loss, 0.000005 rate, 1.265416 seconds, 638896 images, 0.039859 hours left\n",
            "Loaded: 0.000046 seconds\n",
            "Region Avg IOU: 0.546841, Class: 1.000000, Obj: 0.004482, No Obj: 0.002223, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.243948, Class: 1.000000, Obj: 0.011819, No Obj: 0.002253, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.261681, Class: 1.000000, Obj: 0.008636, No Obj: 0.002273, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.320219, Class: 1.000000, Obj: 0.015677, No Obj: 0.002206, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.322946, Class: 1.000000, Obj: 0.013933, No Obj: 0.002241, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.653743, Class: 1.000000, Obj: 0.011353, No Obj: 0.002204, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.306668, Class: 1.000000, Obj: 0.014119, No Obj: 0.002279, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.594947, Class: 1.000000, Obj: 0.012253, No Obj: 0.002307, Avg Recall: 1.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39932: 0.055578, 0.090975 avg loss, 0.000005 rate, 1.361347 seconds, 638912 images, 0.039703 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.206042, Class: 1.000000, Obj: 0.020824, No Obj: 0.002298, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.286504, Class: 1.000000, Obj: 0.012068, No Obj: 0.002275, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.441851, Class: 1.000000, Obj: 0.007037, No Obj: 0.002240, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.414888, Class: 1.000000, Obj: 0.010835, No Obj: 0.002274, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.265219, Class: 1.000000, Obj: 0.016855, No Obj: 0.002259, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.478093, Class: 1.000000, Obj: 0.004546, No Obj: 0.002213, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.370992, Class: 1.000000, Obj: 0.022412, No Obj: 0.002262, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.173535, Class: 1.000000, Obj: 0.008004, No Obj: 0.002251, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39933: 0.033189, 0.085197 avg loss, 0.000005 rate, 1.359145 seconds, 638928 images, 0.039563 hours left\n",
            "Loaded: 0.000039 seconds\n",
            "Region Avg IOU: 0.298193, Class: 1.000000, Obj: 0.016058, No Obj: 0.002270, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.442507, Class: 1.000000, Obj: 0.031991, No Obj: 0.002275, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.394634, Class: 1.000000, Obj: 0.016368, No Obj: 0.002305, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.366272, Class: 1.000000, Obj: 0.021817, No Obj: 0.002315, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.404380, Class: 1.000000, Obj: 0.010909, No Obj: 0.002295, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.261016, Class: 1.000000, Obj: 0.024960, No Obj: 0.002388, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.358874, Class: 1.000000, Obj: 0.006050, No Obj: 0.002183, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.260728, Class: 1.000000, Obj: 0.035064, No Obj: 0.002307, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39934: 0.095073, 0.086184 avg loss, 0.000005 rate, 1.357078 seconds, 638944 images, 0.039420 hours left\n",
            "Loaded: 0.000055 seconds\n",
            "Region Avg IOU: 0.415796, Class: 1.000000, Obj: 0.032795, No Obj: 0.002288, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.511632, Class: 1.000000, Obj: 0.014463, No Obj: 0.002280, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.379959, Class: 1.000000, Obj: 0.010977, No Obj: 0.002233, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.369258, Class: 1.000000, Obj: 0.011132, No Obj: 0.002215, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.190423, Class: 1.000000, Obj: 0.008257, No Obj: 0.002243, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.197188, Class: 1.000000, Obj: 0.009768, No Obj: 0.002241, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.350818, Class: 1.000000, Obj: 0.009527, No Obj: 0.002221, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.422811, Class: 1.000000, Obj: 0.022652, No Obj: 0.002283, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39935: 0.042042, 0.081770 avg loss, 0.000005 rate, 1.364302 seconds, 638960 images, 0.039275 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.432347, Class: 1.000000, Obj: 0.025054, No Obj: 0.002295, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.558995, Class: 1.000000, Obj: 0.021635, No Obj: 0.002282, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.191655, Class: 1.000000, Obj: 0.012032, No Obj: 0.002306, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.103557, Class: 1.000000, Obj: 0.017503, No Obj: 0.002232, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.436640, Class: 1.000000, Obj: 0.004621, No Obj: 0.002176, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.295623, Class: 1.000000, Obj: 0.009574, No Obj: 0.002234, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.274041, Class: 1.000000, Obj: 0.029044, No Obj: 0.002271, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.466204, Class: 1.000000, Obj: 0.018799, No Obj: 0.002341, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39936: 0.030348, 0.076628 avg loss, 0.000005 rate, 1.358950 seconds, 638976 images, 0.039128 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.340348, Class: 1.000000, Obj: 0.007061, No Obj: 0.002306, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.458208, Class: 1.000000, Obj: 0.019368, No Obj: 0.002312, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.498096, Class: 1.000000, Obj: 0.019037, No Obj: 0.002268, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.406422, Class: 1.000000, Obj: 0.027964, No Obj: 0.002382, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.668399, Class: 1.000000, Obj: 0.024413, No Obj: 0.002286, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.400565, Class: 1.000000, Obj: 0.004672, No Obj: 0.002184, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.570596, Class: 1.000000, Obj: 0.016204, No Obj: 0.002234, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.319494, Class: 1.000000, Obj: 0.010667, No Obj: 0.002291, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39937: 0.039539, 0.072919 avg loss, 0.000005 rate, 1.360629 seconds, 638992 images, 0.038979 hours left\n",
            "Loaded: 0.000052 seconds\n",
            "Region Avg IOU: 0.443808, Class: 1.000000, Obj: 0.035845, No Obj: 0.002415, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.571673, Class: 1.000000, Obj: 0.032181, No Obj: 0.002387, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.364919, Class: 1.000000, Obj: 0.012849, No Obj: 0.002212, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.242336, Class: 1.000000, Obj: 0.013654, No Obj: 0.002354, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.143572, Class: 1.000000, Obj: 0.014155, No Obj: 0.002318, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.495432, Class: 1.000000, Obj: 0.028058, No Obj: 0.002284, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.234067, Class: 1.000000, Obj: 0.013503, No Obj: 0.002406, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.464476, Class: 1.000000, Obj: 0.041248, No Obj: 0.002328, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39938: 0.039400, 0.069567 avg loss, 0.000005 rate, 1.356836 seconds, 639008 images, 0.038827 hours left\n",
            "Loaded: 0.000053 seconds\n",
            "Region Avg IOU: 0.371507, Class: 1.000000, Obj: 0.012186, No Obj: 0.002321, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.523504, Class: 1.000000, Obj: 0.013191, No Obj: 0.002247, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.385436, Class: 1.000000, Obj: 0.016802, No Obj: 0.002275, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.475310, Class: 1.000000, Obj: 0.012501, No Obj: 0.002335, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.346030, Class: 1.000000, Obj: 0.037233, No Obj: 0.002349, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.333264, Class: 1.000000, Obj: 0.006905, No Obj: 0.002232, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.304012, Class: 1.000000, Obj: 0.017331, No Obj: 0.002362, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.351446, Class: 1.000000, Obj: 0.014956, No Obj: 0.002253, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39939: 0.048268, 0.067437 avg loss, 0.000005 rate, 1.359338 seconds, 639024 images, 0.038672 hours left\n",
            "Loaded: 0.000049 seconds\n",
            "Region Avg IOU: 0.190743, Class: 1.000000, Obj: 0.028661, No Obj: 0.002368, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.503949, Class: 1.000000, Obj: 0.018856, No Obj: 0.002271, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.465587, Class: 1.000000, Obj: 0.027148, No Obj: 0.002256, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.211503, Class: 1.000000, Obj: 0.010842, No Obj: 0.002251, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.361287, Class: 1.000000, Obj: 0.023854, No Obj: 0.002317, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.219123, Class: 1.000000, Obj: 0.007779, No Obj: 0.002245, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.358388, Class: 1.000000, Obj: 0.022296, No Obj: 0.002383, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.550613, Class: 1.000000, Obj: 0.010357, No Obj: 0.002282, Avg Recall: 1.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39940: 0.045762, 0.065270 avg loss, 0.000005 rate, 1.366617 seconds, 639040 images, 0.038516 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 672 x 672 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.158134, Class: 1.000000, Obj: 0.018864, No Obj: 0.002285, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.380564, Class: 1.000000, Obj: 0.048194, No Obj: 0.002332, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.570581, Class: 1.000000, Obj: 0.019933, No Obj: 0.002271, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.420414, Class: 1.000000, Obj: 0.018622, No Obj: 0.002236, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.185776, Class: 1.000000, Obj: 0.026745, No Obj: 0.002285, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.304924, Class: 1.000000, Obj: 0.016705, No Obj: 0.002240, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.300758, Class: 1.000000, Obj: 0.019333, No Obj: 0.002242, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.409094, Class: 1.000000, Obj: 0.017042, No Obj: 0.002276, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39941: 0.061629, 0.064906 avg loss, 0.000005 rate, 1.245775 seconds, 639056 images, 0.038359 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.296332, Class: 1.000000, Obj: 0.008465, No Obj: 0.002215, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.471229, Class: 1.000000, Obj: 0.011528, No Obj: 0.002250, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.237110, Class: 1.000000, Obj: 0.009824, No Obj: 0.002249, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.503752, Class: 1.000000, Obj: 0.008727, No Obj: 0.002224, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.216320, Class: 1.000000, Obj: 0.018111, No Obj: 0.002335, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.328283, Class: 1.000000, Obj: 0.011962, No Obj: 0.002270, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.414845, Class: 1.000000, Obj: 0.011114, No Obj: 0.002262, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.227229, Class: 1.000000, Obj: 0.024170, No Obj: 0.002283, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39942: 0.023091, 0.060724 avg loss, 0.000005 rate, 1.360427 seconds, 639072 images, 0.038179 hours left\n",
            "Loaded: 0.000050 seconds\n",
            "Region Avg IOU: 0.589619, Class: 1.000000, Obj: 0.007390, No Obj: 0.002227, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.310100, Class: 1.000000, Obj: 0.012910, No Obj: 0.002220, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.279147, Class: 1.000000, Obj: 0.019034, No Obj: 0.002324, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.519247, Class: 1.000000, Obj: 0.007180, No Obj: 0.002265, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.353386, Class: 1.000000, Obj: 0.019528, No Obj: 0.002254, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.243041, Class: 1.000000, Obj: 0.020186, No Obj: 0.002281, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.398667, Class: 1.000000, Obj: 0.011104, No Obj: 0.002237, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.313111, Class: 1.000000, Obj: 0.022525, No Obj: 0.002261, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39943: 0.049422, 0.059594 avg loss, 0.000005 rate, 1.360598 seconds, 639088 images, 0.038017 hours left\n",
            "Loaded: 0.000054 seconds\n",
            "Region Avg IOU: 0.333633, Class: 1.000000, Obj: 0.008600, No Obj: 0.002230, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.273779, Class: 1.000000, Obj: 0.026412, No Obj: 0.002369, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.458277, Class: 1.000000, Obj: 0.010688, No Obj: 0.002268, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.626920, Class: 1.000000, Obj: 0.017932, No Obj: 0.002268, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.393714, Class: 1.000000, Obj: 0.014314, No Obj: 0.002304, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.230518, Class: 1.000000, Obj: 0.021042, No Obj: 0.002276, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.183627, Class: 1.000000, Obj: 0.017013, No Obj: 0.002325, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.228684, Class: 1.000000, Obj: 0.041371, No Obj: 0.002307, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39944: 0.067794, 0.060414 avg loss, 0.000005 rate, 1.397065 seconds, 639104 images, 0.037852 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.420805, Class: 1.000000, Obj: 0.011261, No Obj: 0.002240, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.234677, Class: 1.000000, Obj: 0.040673, No Obj: 0.002442, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.223732, Class: 1.000000, Obj: 0.011920, No Obj: 0.002281, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.342629, Class: 1.000000, Obj: 0.018730, No Obj: 0.002264, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.266266, Class: 1.000000, Obj: 0.007904, No Obj: 0.002153, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.432201, Class: 1.000000, Obj: 0.011035, No Obj: 0.002305, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.389681, Class: 1.000000, Obj: 0.016338, No Obj: 0.002338, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.341858, Class: 1.000000, Obj: 0.012824, No Obj: 0.002270, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39945: 0.056280, 0.060001 avg loss, 0.000005 rate, 1.359652 seconds, 639120 images, 0.037691 hours left\n",
            "Loaded: 0.000063 seconds\n",
            "Region Avg IOU: 0.223559, Class: 1.000000, Obj: 0.011703, No Obj: 0.002363, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.347850, Class: 1.000000, Obj: 0.012831, No Obj: 0.002294, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.366852, Class: 1.000000, Obj: 0.009847, No Obj: 0.002303, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.294040, Class: 1.000000, Obj: 0.015289, No Obj: 0.002232, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.071108, Class: 1.000000, Obj: 0.038940, No Obj: 0.002301, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.480422, Class: 1.000000, Obj: 0.008633, No Obj: 0.002204, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.250616, Class: 1.000000, Obj: 0.013596, No Obj: 0.002215, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.318749, Class: 1.000000, Obj: 0.009050, No Obj: 0.002236, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39946: 0.041348, 0.058135 avg loss, 0.000005 rate, 1.361127 seconds, 639136 images, 0.037522 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.375428, Class: 1.000000, Obj: 0.009376, No Obj: 0.002249, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.371443, Class: 1.000000, Obj: 0.012327, No Obj: 0.002203, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.676426, Class: 1.000000, Obj: 0.026922, No Obj: 0.002339, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.645609, Class: 1.000000, Obj: 0.021748, No Obj: 0.002318, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.139283, Class: 1.000000, Obj: 0.016250, No Obj: 0.002218, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.427978, Class: 1.000000, Obj: 0.015677, No Obj: 0.002293, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.323137, Class: 1.000000, Obj: 0.017439, No Obj: 0.002316, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.642728, Class: 1.000000, Obj: 0.020684, No Obj: 0.002279, Avg Recall: 1.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39947: 0.020842, 0.054406 avg loss, 0.000005 rate, 1.361115 seconds, 639152 images, 0.037351 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.493132, Class: 1.000000, Obj: 0.012431, No Obj: 0.002229, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.565944, Class: 1.000000, Obj: 0.007694, No Obj: 0.002244, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.246929, Class: 1.000000, Obj: 0.005535, No Obj: 0.002228, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.359441, Class: 1.000000, Obj: 0.018222, No Obj: 0.002285, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.422119, Class: 1.000000, Obj: 0.019669, No Obj: 0.002285, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.366641, Class: 1.000000, Obj: 0.012009, No Obj: 0.002259, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.634647, Class: 1.000000, Obj: 0.010879, No Obj: 0.002221, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.241150, Class: 1.000000, Obj: 0.019154, No Obj: 0.002256, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39948: 0.076206, 0.056586 avg loss, 0.000005 rate, 1.361205 seconds, 639168 images, 0.037177 hours left\n",
            "Loaded: 0.000043 seconds\n",
            "Region Avg IOU: 0.418310, Class: 1.000000, Obj: 0.010370, No Obj: 0.002249, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.605468, Class: 1.000000, Obj: 0.052774, No Obj: 0.002290, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.323572, Class: 1.000000, Obj: 0.010119, No Obj: 0.002262, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.358558, Class: 1.000000, Obj: 0.017077, No Obj: 0.002308, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.352072, Class: 1.000000, Obj: 0.010693, No Obj: 0.002291, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.461093, Class: 1.000000, Obj: 0.009103, No Obj: 0.002266, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.279996, Class: 1.000000, Obj: 0.015137, No Obj: 0.002255, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.419168, Class: 1.000000, Obj: 0.014277, No Obj: 0.002295, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39949: 0.127174, 0.063645 avg loss, 0.000005 rate, 1.359060 seconds, 639184 images, 0.037002 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.234452, Class: 1.000000, Obj: 0.023681, No Obj: 0.002260, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.383663, Class: 1.000000, Obj: 0.032422, No Obj: 0.002337, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.360870, Class: 1.000000, Obj: 0.030628, No Obj: 0.002348, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.251966, Class: 1.000000, Obj: 0.010081, No Obj: 0.002285, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.504008, Class: 1.000000, Obj: 0.008973, No Obj: 0.002315, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.729555, Class: 1.000000, Obj: 0.010743, No Obj: 0.002299, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.232672, Class: 1.000000, Obj: 0.020670, No Obj: 0.002280, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.214156, Class: 1.000000, Obj: 0.023314, No Obj: 0.002313, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39950: 0.029332, 0.060213 avg loss, 0.000005 rate, 1.369535 seconds, 639200 images, 0.036825 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 672 x 672 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000047 seconds\n",
            "Region Avg IOU: 0.194190, Class: 1.000000, Obj: 0.018604, No Obj: 0.002352, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.243334, Class: 1.000000, Obj: 0.018341, No Obj: 0.002313, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.270676, Class: 1.000000, Obj: 0.014709, No Obj: 0.002278, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.219345, Class: 1.000000, Obj: 0.029663, No Obj: 0.002437, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.423910, Class: 1.000000, Obj: 0.018282, No Obj: 0.002296, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.348751, Class: 1.000000, Obj: 0.004997, No Obj: 0.002311, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.207953, Class: 1.000000, Obj: 0.011634, No Obj: 0.002274, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.314930, Class: 1.000000, Obj: 0.010308, No Obj: 0.002251, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39951: 0.070119, 0.061204 avg loss, 0.000005 rate, 1.237581 seconds, 639216 images, 0.036647 hours left\n",
            "Loaded: 0.000038 seconds\n",
            "Region Avg IOU: 0.485732, Class: 1.000000, Obj: 0.014071, No Obj: 0.002235, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.257208, Class: 1.000000, Obj: 0.020321, No Obj: 0.002441, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.315050, Class: 1.000000, Obj: 0.014781, No Obj: 0.002336, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.229452, Class: 1.000000, Obj: 0.015789, No Obj: 0.002364, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.342445, Class: 1.000000, Obj: 0.016243, No Obj: 0.002222, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.380437, Class: 1.000000, Obj: 0.025136, No Obj: 0.002251, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.669283, Class: 1.000000, Obj: 0.015755, No Obj: 0.002293, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.416999, Class: 1.000000, Obj: 0.017973, No Obj: 0.002309, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39952: 0.030408, 0.058124 avg loss, 0.000005 rate, 1.356728 seconds, 639232 images, 0.036449 hours left\n",
            "Loaded: 0.000053 seconds\n",
            "Region Avg IOU: 0.264475, Class: 1.000000, Obj: 0.022152, No Obj: 0.002342, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.294667, Class: 1.000000, Obj: 0.008866, No Obj: 0.002310, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.422564, Class: 1.000000, Obj: 0.012410, No Obj: 0.002223, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.175326, Class: 1.000000, Obj: 0.011255, No Obj: 0.002339, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.343280, Class: 1.000000, Obj: 0.014507, No Obj: 0.002262, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.182206, Class: 1.000000, Obj: 0.014734, No Obj: 0.002265, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.155761, Class: 1.000000, Obj: 0.022334, No Obj: 0.002286, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.496681, Class: 1.000000, Obj: 0.026036, No Obj: 0.002319, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39953: 0.024142, 0.054726 avg loss, 0.000005 rate, 1.358366 seconds, 639248 images, 0.036265 hours left\n",
            "Loaded: 0.000058 seconds\n",
            "Region Avg IOU: 0.461569, Class: 1.000000, Obj: 0.019949, No Obj: 0.002346, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.504802, Class: 1.000000, Obj: 0.012431, No Obj: 0.002284, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.249454, Class: 1.000000, Obj: 0.017626, No Obj: 0.002274, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.104609, Class: 1.000000, Obj: 0.034218, No Obj: 0.002362, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.338920, Class: 1.000000, Obj: 0.006427, No Obj: 0.002314, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.405148, Class: 1.000000, Obj: 0.018771, No Obj: 0.002226, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.207064, Class: 1.000000, Obj: 0.014099, No Obj: 0.002308, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.234091, Class: 1.000000, Obj: 0.016229, No Obj: 0.002398, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39954: 0.022378, 0.051491 avg loss, 0.000005 rate, 1.361067 seconds, 639264 images, 0.036080 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.176742, Class: 1.000000, Obj: 0.026689, No Obj: 0.002341, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.653122, Class: 1.000000, Obj: 0.006560, No Obj: 0.002323, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.338888, Class: 1.000000, Obj: 0.014305, No Obj: 0.002297, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.365388, Class: 1.000000, Obj: 0.022400, No Obj: 0.002298, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.168550, Class: 1.000000, Obj: 0.033013, No Obj: 0.002326, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.269986, Class: 1.000000, Obj: 0.007984, No Obj: 0.002312, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.195063, Class: 1.000000, Obj: 0.017512, No Obj: 0.002294, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.245983, Class: 1.000000, Obj: 0.006142, No Obj: 0.002187, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39955: 0.087746, 0.055117 avg loss, 0.000005 rate, 1.362991 seconds, 639280 images, 0.035893 hours left\n",
            "Loaded: 0.000055 seconds\n",
            "Region Avg IOU: 0.271638, Class: 1.000000, Obj: 0.019236, No Obj: 0.002296, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.161939, Class: 1.000000, Obj: 0.018206, No Obj: 0.002260, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.160608, Class: 1.000000, Obj: 0.019778, No Obj: 0.002317, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.333529, Class: 1.000000, Obj: 0.021203, No Obj: 0.002230, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.716972, Class: 1.000000, Obj: 0.024001, No Obj: 0.002262, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.360395, Class: 1.000000, Obj: 0.019000, No Obj: 0.002328, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.313618, Class: 1.000000, Obj: 0.009798, No Obj: 0.002256, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.338155, Class: 1.000000, Obj: 0.015853, No Obj: 0.002281, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39956: 0.096118, 0.059217 avg loss, 0.000005 rate, 1.360213 seconds, 639296 images, 0.035704 hours left\n",
            "Loaded: 0.000056 seconds\n",
            "Region Avg IOU: 0.227720, Class: 1.000000, Obj: 0.013675, No Obj: 0.002323, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.207494, Class: 1.000000, Obj: 0.017394, No Obj: 0.002284, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.483720, Class: 1.000000, Obj: 0.012631, No Obj: 0.002284, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.264707, Class: 1.000000, Obj: 0.016130, No Obj: 0.002333, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.461772, Class: 1.000000, Obj: 0.005260, No Obj: 0.002243, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.283933, Class: 1.000000, Obj: 0.027442, No Obj: 0.002384, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.292866, Class: 1.000000, Obj: 0.008217, No Obj: 0.002211, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.345614, Class: 1.000000, Obj: 0.016488, No Obj: 0.002356, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39957: 0.041579, 0.057453 avg loss, 0.000005 rate, 1.362248 seconds, 639312 images, 0.035514 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.359894, Class: 1.000000, Obj: 0.009493, No Obj: 0.002361, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.195946, Class: 1.000000, Obj: 0.021692, No Obj: 0.002309, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.329982, Class: 1.000000, Obj: 0.017983, No Obj: 0.002258, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.355132, Class: 1.000000, Obj: 0.017882, No Obj: 0.002244, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.222984, Class: 1.000000, Obj: 0.011030, No Obj: 0.002258, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.333234, Class: 1.000000, Obj: 0.008762, No Obj: 0.002293, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.254413, Class: 1.000000, Obj: 0.015843, No Obj: 0.002281, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.311493, Class: 1.000000, Obj: 0.014462, No Obj: 0.002260, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39958: 0.031007, 0.054808 avg loss, 0.000005 rate, 1.358169 seconds, 639328 images, 0.035321 hours left\n",
            "Loaded: 0.000066 seconds\n",
            "Region Avg IOU: 0.340282, Class: 1.000000, Obj: 0.010433, No Obj: 0.002193, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.273329, Class: 1.000000, Obj: 0.021055, No Obj: 0.002303, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.432691, Class: 1.000000, Obj: 0.005783, No Obj: 0.002289, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.517437, Class: 1.000000, Obj: 0.013887, No Obj: 0.002279, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.437129, Class: 1.000000, Obj: 0.017973, No Obj: 0.002279, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.227063, Class: 1.000000, Obj: 0.031593, No Obj: 0.002252, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.188153, Class: 1.000000, Obj: 0.012387, No Obj: 0.002283, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.285703, Class: 1.000000, Obj: 0.007825, No Obj: 0.002232, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39959: 0.069179, 0.056246 avg loss, 0.000005 rate, 1.360831 seconds, 639344 images, 0.035126 hours left\n",
            "Loaded: 0.000058 seconds\n",
            "Region Avg IOU: 0.489546, Class: 1.000000, Obj: 0.025005, No Obj: 0.002281, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.338278, Class: 1.000000, Obj: 0.019300, No Obj: 0.002330, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.328224, Class: 1.000000, Obj: 0.007624, No Obj: 0.002273, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.218049, Class: 1.000000, Obj: 0.019984, No Obj: 0.002290, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.308165, Class: 1.000000, Obj: 0.013760, No Obj: 0.002232, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.271105, Class: 1.000000, Obj: 0.011869, No Obj: 0.002315, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.075821, Class: 1.000000, Obj: 0.013525, No Obj: 0.002190, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.234884, Class: 1.000000, Obj: 0.011022, No Obj: 0.002220, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39960: 0.320720, 0.082693 avg loss, 0.000005 rate, 1.365252 seconds, 639360 images, 0.034930 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 672 x 672 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.435669, Class: 1.000000, Obj: 0.013674, No Obj: 0.002300, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.243005, Class: 1.000000, Obj: 0.018152, No Obj: 0.002255, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.341555, Class: 1.000000, Obj: 0.008594, No Obj: 0.002169, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.195688, Class: 1.000000, Obj: 0.014626, No Obj: 0.002383, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.559277, Class: 1.000000, Obj: 0.010725, No Obj: 0.002317, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.490149, Class: 1.000000, Obj: 0.009934, No Obj: 0.002278, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.256271, Class: 1.000000, Obj: 0.013408, No Obj: 0.002384, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.347872, Class: 1.000000, Obj: 0.009421, No Obj: 0.002204, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39961: 0.065102, 0.080934 avg loss, 0.000005 rate, 1.268787 seconds, 639376 images, 0.034733 hours left\n",
            "Loaded: 0.000062 seconds\n",
            "Region Avg IOU: 0.221243, Class: 1.000000, Obj: 0.018254, No Obj: 0.002272, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.344241, Class: 1.000000, Obj: 0.028851, No Obj: 0.002310, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.356172, Class: 1.000000, Obj: 0.018334, No Obj: 0.002338, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.239492, Class: 1.000000, Obj: 0.073439, No Obj: 0.002427, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.301353, Class: 1.000000, Obj: 0.012914, No Obj: 0.002231, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.355993, Class: 1.000000, Obj: 0.007167, No Obj: 0.002252, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.529445, Class: 1.000000, Obj: 0.016836, No Obj: 0.002250, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.377261, Class: 1.000000, Obj: 0.004923, No Obj: 0.002237, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39962: 0.035840, 0.076424 avg loss, 0.000005 rate, 1.354384 seconds, 639392 images, 0.034523 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.485305, Class: 1.000000, Obj: 0.019837, No Obj: 0.002349, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.674163, Class: 1.000000, Obj: 0.008144, No Obj: 0.002246, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.295803, Class: 1.000000, Obj: 0.024077, No Obj: 0.002349, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.303166, Class: 1.000000, Obj: 0.013020, No Obj: 0.002290, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.379453, Class: 1.000000, Obj: 0.014519, No Obj: 0.002193, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.275033, Class: 1.000000, Obj: 0.015618, No Obj: 0.002326, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.236189, Class: 1.000000, Obj: 0.015243, No Obj: 0.002268, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.190487, Class: 1.000000, Obj: 0.022944, No Obj: 0.002342, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39963: 0.031469, 0.071929 avg loss, 0.000005 rate, 1.355947 seconds, 639408 images, 0.034320 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.270775, Class: 1.000000, Obj: 0.017988, No Obj: 0.002212, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.300274, Class: 1.000000, Obj: 0.018183, No Obj: 0.002344, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.136920, Class: 1.000000, Obj: 0.027028, No Obj: 0.002276, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.527175, Class: 1.000000, Obj: 0.016034, No Obj: 0.002314, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.213863, Class: 1.000000, Obj: 0.005641, No Obj: 0.002217, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.113720, Class: 1.000000, Obj: 0.007501, No Obj: 0.002287, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.337300, Class: 1.000000, Obj: 0.015660, No Obj: 0.002275, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.311983, Class: 1.000000, Obj: 0.018109, No Obj: 0.002287, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39964: 0.555881, 0.120324 avg loss, 0.000005 rate, 1.356693 seconds, 639424 images, 0.034117 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.383115, Class: 1.000000, Obj: 0.021533, No Obj: 0.002284, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.262148, Class: 1.000000, Obj: 0.019090, No Obj: 0.002293, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.347261, Class: 1.000000, Obj: 0.014281, No Obj: 0.002190, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.423688, Class: 1.000000, Obj: 0.012212, No Obj: 0.002254, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.390720, Class: 1.000000, Obj: 0.020322, No Obj: 0.002361, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.454791, Class: 1.000000, Obj: 0.012060, No Obj: 0.002320, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.141311, Class: 1.000000, Obj: 0.017645, No Obj: 0.002320, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.586986, Class: 1.000000, Obj: 0.012772, No Obj: 0.002213, Avg Recall: 1.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39965: 0.046251, 0.112917 avg loss, 0.000005 rate, 1.358482 seconds, 639440 images, 0.033911 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.247326, Class: 1.000000, Obj: 0.025951, No Obj: 0.002312, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.540108, Class: 1.000000, Obj: 0.019397, No Obj: 0.002285, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.480636, Class: 1.000000, Obj: 0.023077, No Obj: 0.002264, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.436563, Class: 1.000000, Obj: 0.026003, No Obj: 0.002330, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.591966, Class: 1.000000, Obj: 0.014345, No Obj: 0.002238, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.378270, Class: 1.000000, Obj: 0.018747, No Obj: 0.002322, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.228253, Class: 1.000000, Obj: 0.008287, No Obj: 0.002225, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.286495, Class: 1.000000, Obj: 0.014107, No Obj: 0.002342, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39966: 0.029286, 0.104554 avg loss, 0.000005 rate, 1.354741 seconds, 639456 images, 0.033704 hours left\n",
            "Loaded: 0.000063 seconds\n",
            "Region Avg IOU: 0.311485, Class: 1.000000, Obj: 0.008561, No Obj: 0.002251, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.264415, Class: 1.000000, Obj: 0.017799, No Obj: 0.002324, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.482208, Class: 1.000000, Obj: 0.013410, No Obj: 0.002342, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.379520, Class: 1.000000, Obj: 0.014882, No Obj: 0.002312, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.438925, Class: 1.000000, Obj: 0.024907, No Obj: 0.002267, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.434303, Class: 1.000000, Obj: 0.011054, No Obj: 0.002263, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.226989, Class: 1.000000, Obj: 0.016947, No Obj: 0.002227, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.207835, Class: 1.000000, Obj: 0.009935, No Obj: 0.002220, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39967: 0.072508, 0.101349 avg loss, 0.000005 rate, 1.359895 seconds, 639472 images, 0.033495 hours left\n",
            "Loaded: 0.000062 seconds\n",
            "Region Avg IOU: 0.294920, Class: 1.000000, Obj: 0.016244, No Obj: 0.002222, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.275899, Class: 1.000000, Obj: 0.022714, No Obj: 0.002233, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.159471, Class: 1.000000, Obj: 0.020732, No Obj: 0.002216, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.237389, Class: 1.000000, Obj: 0.015900, No Obj: 0.002260, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.308853, Class: 1.000000, Obj: 0.016897, No Obj: 0.002232, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.269483, Class: 1.000000, Obj: 0.011024, No Obj: 0.002225, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.491629, Class: 1.000000, Obj: 0.018115, No Obj: 0.002249, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.158672, Class: 1.000000, Obj: 0.016247, No Obj: 0.002326, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39968: 0.062889, 0.097503 avg loss, 0.000005 rate, 1.357031 seconds, 639488 images, 0.033285 hours left\n",
            "Loaded: 0.000035 seconds\n",
            "Region Avg IOU: 0.666216, Class: 1.000000, Obj: 0.012228, No Obj: 0.002315, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.311132, Class: 1.000000, Obj: 0.020600, No Obj: 0.002221, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.542177, Class: 1.000000, Obj: 0.019262, No Obj: 0.002219, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.555344, Class: 1.000000, Obj: 0.034437, No Obj: 0.002451, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.551055, Class: 1.000000, Obj: 0.025510, No Obj: 0.002293, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.364650, Class: 1.000000, Obj: 0.024383, No Obj: 0.002349, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.574658, Class: 1.000000, Obj: 0.013198, No Obj: 0.002206, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.342829, Class: 1.000000, Obj: 0.008235, No Obj: 0.002342, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39969: 0.024768, 0.090230 avg loss, 0.000005 rate, 1.358326 seconds, 639504 images, 0.033073 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.320685, Class: 1.000000, Obj: 0.025838, No Obj: 0.002326, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.358402, Class: 1.000000, Obj: 0.018682, No Obj: 0.002311, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.307554, Class: 1.000000, Obj: 0.013880, No Obj: 0.002374, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.353691, Class: 1.000000, Obj: 0.019932, No Obj: 0.002359, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.142553, Class: 1.000000, Obj: 0.012590, No Obj: 0.002225, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.383062, Class: 1.000000, Obj: 0.006669, No Obj: 0.002262, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.329455, Class: 1.000000, Obj: 0.026360, No Obj: 0.002322, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.313180, Class: 1.000000, Obj: 0.019218, No Obj: 0.002251, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39970: 0.056294, 0.086836 avg loss, 0.000005 rate, 1.359207 seconds, 639520 images, 0.032859 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 672 x 672 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.458484, Class: 1.000000, Obj: 0.006118, No Obj: 0.002240, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.502640, Class: 1.000000, Obj: 0.020743, No Obj: 0.002308, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.205103, Class: 1.000000, Obj: 0.012734, No Obj: 0.002303, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.392152, Class: 1.000000, Obj: 0.027111, No Obj: 0.002291, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.233576, Class: 1.000000, Obj: 0.013428, No Obj: 0.002238, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.326217, Class: 1.000000, Obj: 0.018958, No Obj: 0.002262, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.314084, Class: 1.000000, Obj: 0.019847, No Obj: 0.002235, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.587440, Class: 1.000000, Obj: 0.006816, No Obj: 0.002191, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39971: 0.031030, 0.081256 avg loss, 0.000005 rate, 1.244787 seconds, 639536 images, 0.032643 hours left\n",
            "Loaded: 0.000048 seconds\n",
            "Region Avg IOU: 0.594651, Class: 1.000000, Obj: 0.012655, No Obj: 0.002311, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.321923, Class: 1.000000, Obj: 0.005271, No Obj: 0.002227, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.188937, Class: 1.000000, Obj: 0.008042, No Obj: 0.002319, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.691416, Class: 1.000000, Obj: 0.020260, No Obj: 0.002335, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.281181, Class: 1.000000, Obj: 0.024962, No Obj: 0.002286, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.502964, Class: 1.000000, Obj: 0.015869, No Obj: 0.002306, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.343354, Class: 1.000000, Obj: 0.029115, No Obj: 0.002278, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.176714, Class: 1.000000, Obj: 0.013279, No Obj: 0.002334, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39972: 0.040615, 0.077192 avg loss, 0.000005 rate, 1.360349 seconds, 639552 images, 0.032417 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.511087, Class: 1.000000, Obj: 0.013060, No Obj: 0.002245, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.186530, Class: 1.000000, Obj: 0.021859, No Obj: 0.002290, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.503815, Class: 1.000000, Obj: 0.025078, No Obj: 0.002284, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.444891, Class: 1.000000, Obj: 0.018914, No Obj: 0.002311, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.210540, Class: 1.000000, Obj: 0.017731, No Obj: 0.002181, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.288875, Class: 1.000000, Obj: 0.026453, No Obj: 0.002295, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.178531, Class: 1.000000, Obj: 0.010227, No Obj: 0.002306, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.241440, Class: 1.000000, Obj: 0.024170, No Obj: 0.002324, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39973: 0.028334, 0.072306 avg loss, 0.000005 rate, 1.356656 seconds, 639568 images, 0.032199 hours left\n",
            "Loaded: 0.000056 seconds\n",
            "Region Avg IOU: 0.646127, Class: 1.000000, Obj: 0.016873, No Obj: 0.002243, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.511680, Class: 1.000000, Obj: 0.010022, No Obj: 0.002331, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.584785, Class: 1.000000, Obj: 0.021802, No Obj: 0.002304, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.424663, Class: 1.000000, Obj: 0.014493, No Obj: 0.002271, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.201249, Class: 1.000000, Obj: 0.023525, No Obj: 0.002310, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.348980, Class: 1.000000, Obj: 0.017421, No Obj: 0.002252, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.386968, Class: 1.000000, Obj: 0.008807, No Obj: 0.002219, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.657652, Class: 1.000000, Obj: 0.010765, No Obj: 0.002280, Avg Recall: 1.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39974: 0.021914, 0.067267 avg loss, 0.000005 rate, 1.358399 seconds, 639584 images, 0.031979 hours left\n",
            "Loaded: 0.000046 seconds\n",
            "Region Avg IOU: 0.476829, Class: 1.000000, Obj: 0.009583, No Obj: 0.002223, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.272605, Class: 1.000000, Obj: 0.033289, No Obj: 0.002414, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.176744, Class: 1.000000, Obj: 0.006276, No Obj: 0.002262, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.161679, Class: 1.000000, Obj: 0.035178, No Obj: 0.002316, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.408839, Class: 1.000000, Obj: 0.019361, No Obj: 0.002352, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.286343, Class: 1.000000, Obj: 0.020012, No Obj: 0.002232, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.495759, Class: 1.000000, Obj: 0.010433, No Obj: 0.002258, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.359600, Class: 1.000000, Obj: 0.018952, No Obj: 0.002278, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39975: 0.128362, 0.073376 avg loss, 0.000005 rate, 1.361813 seconds, 639600 images, 0.031757 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.366931, Class: 1.000000, Obj: 0.026677, No Obj: 0.002352, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.332812, Class: 1.000000, Obj: 0.031389, No Obj: 0.002244, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.371949, Class: 1.000000, Obj: 0.024271, No Obj: 0.002274, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.194652, Class: 1.000000, Obj: 0.020428, No Obj: 0.002272, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.333261, Class: 1.000000, Obj: 0.017016, No Obj: 0.002261, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.416929, Class: 1.000000, Obj: 0.014976, No Obj: 0.002202, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.315151, Class: 1.000000, Obj: 0.027856, No Obj: 0.002356, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.170971, Class: 1.000000, Obj: 0.015906, No Obj: 0.002214, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39976: 0.032007, 0.069239 avg loss, 0.000005 rate, 1.357943 seconds, 639616 images, 0.031534 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.096469, Class: 1.000000, Obj: 0.006687, No Obj: 0.002263, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.551979, Class: 1.000000, Obj: 0.029435, No Obj: 0.002342, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.595695, Class: 1.000000, Obj: 0.015821, No Obj: 0.002343, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.338297, Class: 1.000000, Obj: 0.015235, No Obj: 0.002220, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.260224, Class: 1.000000, Obj: 0.014350, No Obj: 0.002278, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.298916, Class: 1.000000, Obj: 0.027777, No Obj: 0.002266, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.186057, Class: 1.000000, Obj: 0.015664, No Obj: 0.002258, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.564215, Class: 1.000000, Obj: 0.010382, No Obj: 0.002249, Avg Recall: 1.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39977: 0.020014, 0.064317 avg loss, 0.000005 rate, 1.359774 seconds, 639632 images, 0.031309 hours left\n",
            "Loaded: 0.000039 seconds\n",
            "Region Avg IOU: 0.248505, Class: 1.000000, Obj: 0.009893, No Obj: 0.002293, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.340172, Class: 1.000000, Obj: 0.010223, No Obj: 0.002220, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.304288, Class: 1.000000, Obj: 0.015175, No Obj: 0.002322, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.227856, Class: 1.000000, Obj: 0.020012, No Obj: 0.002308, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.326523, Class: 1.000000, Obj: 0.017546, No Obj: 0.002259, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.350175, Class: 1.000000, Obj: 0.012879, No Obj: 0.002288, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.409357, Class: 1.000000, Obj: 0.009556, No Obj: 0.002330, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.313174, Class: 1.000000, Obj: 0.017614, No Obj: 0.002246, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39978: 0.035544, 0.061439 avg loss, 0.000005 rate, 1.357769 seconds, 639648 images, 0.031083 hours left\n",
            "Loaded: 0.000054 seconds\n",
            "Region Avg IOU: 0.144840, Class: 1.000000, Obj: 0.026615, No Obj: 0.002310, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.378804, Class: 1.000000, Obj: 0.013191, No Obj: 0.002252, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.276792, Class: 1.000000, Obj: 0.031108, No Obj: 0.002301, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.446325, Class: 1.000000, Obj: 0.018604, No Obj: 0.002386, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.287619, Class: 1.000000, Obj: 0.012099, No Obj: 0.002269, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.633933, Class: 1.000000, Obj: 0.012608, No Obj: 0.002340, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.580715, Class: 1.000000, Obj: 0.028847, No Obj: 0.002352, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.433290, Class: 1.000000, Obj: 0.022916, No Obj: 0.002285, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39979: 0.031912, 0.058487 avg loss, 0.000005 rate, 1.353165 seconds, 639664 images, 0.030855 hours left\n",
            "Loaded: 0.000046 seconds\n",
            "Region Avg IOU: 0.420955, Class: 1.000000, Obj: 0.021195, No Obj: 0.002270, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.435805, Class: 1.000000, Obj: 0.007208, No Obj: 0.002291, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.313994, Class: 1.000000, Obj: 0.008653, No Obj: 0.002243, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.358017, Class: 1.000000, Obj: 0.010503, No Obj: 0.002210, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.285866, Class: 1.000000, Obj: 0.011491, No Obj: 0.002208, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.401572, Class: 1.000000, Obj: 0.021945, No Obj: 0.002301, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.375016, Class: 1.000000, Obj: 0.010982, No Obj: 0.002260, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.371011, Class: 1.000000, Obj: 0.026891, No Obj: 0.002378, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39980: 0.033878, 0.056026 avg loss, 0.000005 rate, 1.359133 seconds, 639680 images, 0.030626 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 672 x 672 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.312744, Class: 1.000000, Obj: 0.008421, No Obj: 0.002263, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.280032, Class: 1.000000, Obj: 0.022971, No Obj: 0.002291, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.457509, Class: 1.000000, Obj: 0.029848, No Obj: 0.002391, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.252553, Class: 1.000000, Obj: 0.028879, No Obj: 0.002432, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.283095, Class: 1.000000, Obj: 0.022242, No Obj: 0.002316, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.193730, Class: 1.000000, Obj: 0.035544, No Obj: 0.002358, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.288007, Class: 1.000000, Obj: 0.030756, No Obj: 0.002310, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.426027, Class: 1.000000, Obj: 0.023635, No Obj: 0.002297, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39981: 0.020726, 0.052496 avg loss, 0.000005 rate, 1.240157 seconds, 639696 images, 0.030395 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.470025, Class: 1.000000, Obj: 0.012089, No Obj: 0.002146, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.194279, Class: 1.000000, Obj: 0.012580, No Obj: 0.002342, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.256950, Class: 1.000000, Obj: 0.018794, No Obj: 0.002250, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.399158, Class: 1.000000, Obj: 0.013871, No Obj: 0.002254, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.237204, Class: 1.000000, Obj: 0.009508, No Obj: 0.002259, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.355451, Class: 1.000000, Obj: 0.020870, No Obj: 0.002325, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.284832, Class: 1.000000, Obj: 0.015131, No Obj: 0.002314, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.392501, Class: 1.000000, Obj: 0.031866, No Obj: 0.002253, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39982: 0.031829, 0.050429 avg loss, 0.000005 rate, 1.357649 seconds, 639712 images, 0.030156 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.184125, Class: 1.000000, Obj: 0.028384, No Obj: 0.002287, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.515254, Class: 1.000000, Obj: 0.020310, No Obj: 0.002298, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.433542, Class: 1.000000, Obj: 0.020315, No Obj: 0.002260, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.693991, Class: 1.000000, Obj: 0.005204, No Obj: 0.002203, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.518891, Class: 1.000000, Obj: 0.013980, No Obj: 0.002297, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.375339, Class: 1.000000, Obj: 0.028747, No Obj: 0.002295, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.220970, Class: 1.000000, Obj: 0.025272, No Obj: 0.002274, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.195372, Class: 1.000000, Obj: 0.013473, No Obj: 0.002367, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39983: 0.020200, 0.047406 avg loss, 0.000005 rate, 1.356926 seconds, 639728 images, 0.029923 hours left\n",
            "Loaded: 0.000044 seconds\n",
            "Region Avg IOU: 0.321810, Class: 1.000000, Obj: 0.032585, No Obj: 0.002284, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.346581, Class: 1.000000, Obj: 0.027289, No Obj: 0.002307, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.307756, Class: 1.000000, Obj: 0.010589, No Obj: 0.002281, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.191392, Class: 1.000000, Obj: 0.012889, No Obj: 0.002313, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.362902, Class: 1.000000, Obj: 0.008491, No Obj: 0.002296, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.402326, Class: 1.000000, Obj: 0.025593, No Obj: 0.002314, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.249310, Class: 1.000000, Obj: 0.017521, No Obj: 0.002284, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.475141, Class: 1.000000, Obj: 0.023739, No Obj: 0.002269, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39984: 0.033908, 0.046056 avg loss, 0.000005 rate, 1.354208 seconds, 639744 images, 0.029687 hours left\n",
            "Loaded: 0.000040 seconds\n",
            "Region Avg IOU: 0.529887, Class: 1.000000, Obj: 0.012047, No Obj: 0.002286, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.347580, Class: 1.000000, Obj: 0.009178, No Obj: 0.002308, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.272696, Class: 1.000000, Obj: 0.019481, No Obj: 0.002291, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.649896, Class: 1.000000, Obj: 0.013014, No Obj: 0.002233, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.271586, Class: 1.000000, Obj: 0.012435, No Obj: 0.002293, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.183630, Class: 1.000000, Obj: 0.016193, No Obj: 0.002184, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.172523, Class: 1.000000, Obj: 0.012929, No Obj: 0.002276, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.479031, Class: 1.000000, Obj: 0.014782, No Obj: 0.002369, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39985: 0.036143, 0.045065 avg loss, 0.000005 rate, 1.356041 seconds, 639760 images, 0.029451 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.304262, Class: 1.000000, Obj: 0.013631, No Obj: 0.002309, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.229419, Class: 1.000000, Obj: 0.015806, No Obj: 0.002193, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.178082, Class: 1.000000, Obj: 0.023278, No Obj: 0.002349, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.275130, Class: 1.000000, Obj: 0.021605, No Obj: 0.002322, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.469200, Class: 1.000000, Obj: 0.020833, No Obj: 0.002316, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.361237, Class: 1.000000, Obj: 0.014920, No Obj: 0.002278, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.720892, Class: 1.000000, Obj: 0.012486, No Obj: 0.002297, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.357344, Class: 1.000000, Obj: 0.009918, No Obj: 0.002250, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39986: 0.021541, 0.042713 avg loss, 0.000005 rate, 1.352825 seconds, 639776 images, 0.029213 hours left\n",
            "Loaded: 0.000059 seconds\n",
            "Region Avg IOU: 0.203515, Class: 1.000000, Obj: 0.009397, No Obj: 0.002265, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.379160, Class: 1.000000, Obj: 0.023395, No Obj: 0.002257, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.369435, Class: 1.000000, Obj: 0.017422, No Obj: 0.002268, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.466636, Class: 1.000000, Obj: 0.027468, No Obj: 0.002277, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.196563, Class: 1.000000, Obj: 0.005586, No Obj: 0.002266, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.290501, Class: 1.000000, Obj: 0.013133, No Obj: 0.002289, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.339182, Class: 1.000000, Obj: 0.037293, No Obj: 0.002372, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.338236, Class: 1.000000, Obj: 0.013879, No Obj: 0.002264, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39987: 0.027815, 0.041223 avg loss, 0.000005 rate, 1.356973 seconds, 639792 images, 0.028973 hours left\n",
            "Loaded: 0.000054 seconds\n",
            "Region Avg IOU: 0.357676, Class: 1.000000, Obj: 0.020797, No Obj: 0.002302, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.454783, Class: 1.000000, Obj: 0.006869, No Obj: 0.002217, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.266649, Class: 1.000000, Obj: 0.014087, No Obj: 0.002336, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.242585, Class: 1.000000, Obj: 0.020058, No Obj: 0.002230, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.152893, Class: 1.000000, Obj: 0.032928, No Obj: 0.002370, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.191559, Class: 1.000000, Obj: 0.015108, No Obj: 0.002244, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.362692, Class: 1.000000, Obj: 0.016214, No Obj: 0.002330, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.517559, Class: 1.000000, Obj: 0.010160, No Obj: 0.002345, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39988: 0.040178, 0.041118 avg loss, 0.000005 rate, 1.357394 seconds, 639808 images, 0.028733 hours left\n",
            "Loaded: 0.000041 seconds\n",
            "Region Avg IOU: 0.227306, Class: 1.000000, Obj: 0.015501, No Obj: 0.002271, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.604144, Class: 1.000000, Obj: 0.012283, No Obj: 0.002198, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.662651, Class: 1.000000, Obj: 0.021044, No Obj: 0.002350, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.553938, Class: 1.000000, Obj: 0.007120, No Obj: 0.002256, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.326075, Class: 1.000000, Obj: 0.035346, No Obj: 0.002336, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.324411, Class: 1.000000, Obj: 0.019640, No Obj: 0.002332, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.541888, Class: 1.000000, Obj: 0.032435, No Obj: 0.002299, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.404685, Class: 1.000000, Obj: 0.014647, No Obj: 0.002257, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39989: 0.023816, 0.039388 avg loss, 0.000005 rate, 1.354812 seconds, 639824 images, 0.028490 hours left\n",
            "Loaded: 0.000048 seconds\n",
            "Region Avg IOU: 0.189479, Class: 1.000000, Obj: 0.023768, No Obj: 0.002246, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.447817, Class: 1.000000, Obj: 0.007590, No Obj: 0.002289, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.285154, Class: 1.000000, Obj: 0.022485, No Obj: 0.002326, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.199231, Class: 1.000000, Obj: 0.012222, No Obj: 0.002239, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.332414, Class: 1.000000, Obj: 0.007868, No Obj: 0.002255, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.468506, Class: 1.000000, Obj: 0.014440, No Obj: 0.002220, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.303150, Class: 1.000000, Obj: 0.021215, No Obj: 0.002308, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.673702, Class: 1.000000, Obj: 0.033969, No Obj: 0.002296, Avg Recall: 1.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39990: 0.020419, 0.037491 avg loss, 0.000005 rate, 1.356850 seconds, 639840 images, 0.028247 hours left\n",
            "Resizing, random_coef = 1.40 \n",
            "\n",
            " 672 x 672 \n",
            " try to allocate additional workspace_size = 131.08 MB \n",
            " CUDA allocate done! \n",
            "Loaded: 0.000034 seconds\n",
            "Region Avg IOU: 0.237570, Class: 1.000000, Obj: 0.019771, No Obj: 0.002292, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.342760, Class: 1.000000, Obj: 0.010327, No Obj: 0.002239, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.134172, Class: 1.000000, Obj: 0.029942, No Obj: 0.002334, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.299133, Class: 1.000000, Obj: 0.017774, No Obj: 0.002276, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.348891, Class: 1.000000, Obj: 0.019580, No Obj: 0.002380, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.480258, Class: 1.000000, Obj: 0.005207, No Obj: 0.002246, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.073522, Class: 1.000000, Obj: 0.007035, No Obj: 0.002252, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.172832, Class: 1.000000, Obj: 0.011254, No Obj: 0.002260, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39991: 0.491750, 0.082917 avg loss, 0.000005 rate, 1.246814 seconds, 639856 images, 0.028002 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.319974, Class: 1.000000, Obj: 0.013567, No Obj: 0.002267, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.361554, Class: 1.000000, Obj: 0.011975, No Obj: 0.002222, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.557530, Class: 1.000000, Obj: 0.019464, No Obj: 0.002341, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.596029, Class: 1.000000, Obj: 0.011655, No Obj: 0.002357, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.394472, Class: 1.000000, Obj: 0.010681, No Obj: 0.002300, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.446698, Class: 1.000000, Obj: 0.014500, No Obj: 0.002241, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.268949, Class: 1.000000, Obj: 0.018117, No Obj: 0.002274, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.348514, Class: 1.000000, Obj: 0.006999, No Obj: 0.002267, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39992: 0.064481, 0.081073 avg loss, 0.000005 rate, 1.354540 seconds, 639872 images, 0.027753 hours left\n",
            "Loaded: 0.000043 seconds\n",
            "Region Avg IOU: 0.244954, Class: 1.000000, Obj: 0.017670, No Obj: 0.002306, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.310101, Class: 1.000000, Obj: 0.010562, No Obj: 0.002197, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.382474, Class: 1.000000, Obj: 0.021754, No Obj: 0.002238, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.275985, Class: 1.000000, Obj: 0.018634, No Obj: 0.002375, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.416037, Class: 1.000000, Obj: 0.023996, No Obj: 0.002305, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.480120, Class: 1.000000, Obj: 0.016410, No Obj: 0.002233, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.339307, Class: 1.000000, Obj: 0.011674, No Obj: 0.002255, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.002146, Avg Recall: -nan,  count: 0\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39993: 0.045181, 0.077484 avg loss, 0.000005 rate, 1.351181 seconds, 639888 images, 0.027506 hours left\n",
            "Loaded: 0.000042 seconds\n",
            "Region Avg IOU: 0.356586, Class: 1.000000, Obj: 0.012976, No Obj: 0.002224, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.499217, Class: 1.000000, Obj: 0.016019, No Obj: 0.002246, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.148516, Class: 1.000000, Obj: 0.012500, No Obj: 0.002218, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.242535, Class: 1.000000, Obj: 0.030936, No Obj: 0.002278, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.162490, Class: 1.000000, Obj: 0.010512, No Obj: 0.002315, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.514601, Class: 1.000000, Obj: 0.010093, No Obj: 0.002219, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.260664, Class: 1.000000, Obj: 0.023398, No Obj: 0.002303, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.744576, Class: 1.000000, Obj: 0.030894, No Obj: 0.002314, Avg Recall: 1.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39994: 0.043539, 0.074090 avg loss, 0.000005 rate, 1.351298 seconds, 639904 images, 0.027257 hours left\n",
            "Loaded: 0.000054 seconds\n",
            "Region Avg IOU: 0.585057, Class: 1.000000, Obj: 0.010306, No Obj: 0.002286, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.477728, Class: 1.000000, Obj: 0.012035, No Obj: 0.002220, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.509550, Class: 1.000000, Obj: 0.009504, No Obj: 0.002229, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.152253, Class: 1.000000, Obj: 0.015447, No Obj: 0.002236, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.535945, Class: 1.000000, Obj: 0.042886, No Obj: 0.002411, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.122901, Class: 1.000000, Obj: 0.021968, No Obj: 0.002306, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.278017, Class: 1.000000, Obj: 0.009257, No Obj: 0.002246, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.533034, Class: 1.000000, Obj: 0.009973, No Obj: 0.002217, Avg Recall: 1.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39995: 0.042889, 0.070970 avg loss, 0.000005 rate, 1.356580 seconds, 639920 images, 0.027007 hours left\n",
            "Loaded: 0.000051 seconds\n",
            "Region Avg IOU: 0.394277, Class: 1.000000, Obj: 0.010634, No Obj: 0.002314, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.169743, Class: 1.000000, Obj: 0.007002, No Obj: 0.002197, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.210309, Class: 1.000000, Obj: 0.022399, No Obj: 0.002328, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.332206, Class: 1.000000, Obj: 0.016088, No Obj: 0.002214, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.474785, Class: 1.000000, Obj: 0.003817, No Obj: 0.002228, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.191152, Class: 1.000000, Obj: 0.009204, No Obj: 0.002214, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.418504, Class: 1.000000, Obj: 0.014800, No Obj: 0.002255, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.315492, Class: 1.000000, Obj: 0.035657, No Obj: 0.002331, Avg Recall: 0.000000,  count: 1\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39996: 0.129182, 0.076791 avg loss, 0.000005 rate, 1.358160 seconds, 639936 images, 0.026756 hours left\n",
            "Loaded: 0.000059 seconds\n",
            "Region Avg IOU: 0.378014, Class: 1.000000, Obj: 0.012189, No Obj: 0.002210, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.286751, Class: 1.000000, Obj: 0.011905, No Obj: 0.002276, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.645090, Class: 1.000000, Obj: 0.013910, No Obj: 0.002221, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.322526, Class: 1.000000, Obj: 0.011627, No Obj: 0.002271, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.180277, Class: 1.000000, Obj: 0.017191, No Obj: 0.002224, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.261094, Class: 1.000000, Obj: 0.015737, No Obj: 0.002321, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.366372, Class: 1.000000, Obj: 0.019552, No Obj: 0.002258, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.358212, Class: 1.000000, Obj: 0.021818, No Obj: 0.002310, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39997: 0.054432, 0.074555 avg loss, 0.000005 rate, 1.359712 seconds, 639952 images, 0.026503 hours left\n",
            "Loaded: 0.000045 seconds\n",
            "Region Avg IOU: 0.275866, Class: 1.000000, Obj: 0.015645, No Obj: 0.002279, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.261581, Class: 1.000000, Obj: 0.018682, No Obj: 0.002354, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.311563, Class: 1.000000, Obj: 0.031124, No Obj: 0.002309, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.693539, Class: 1.000000, Obj: 0.030021, No Obj: 0.002293, Avg Recall: 1.000000,  count: 1\n",
            "Region Avg IOU: 0.117405, Class: 1.000000, Obj: 0.012348, No Obj: 0.002318, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.410733, Class: 1.000000, Obj: 0.014648, No Obj: 0.002219, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.296257, Class: 1.000000, Obj: 0.010738, No Obj: 0.002302, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.362068, Class: 1.000000, Obj: 0.010302, No Obj: 0.002295, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39998: 0.182309, 0.085330 avg loss, 0.000005 rate, 1.358697 seconds, 639968 images, 0.026250 hours left\n",
            "Loaded: 0.000043 seconds\n",
            "Region Avg IOU: 0.339342, Class: 1.000000, Obj: 0.007823, No Obj: 0.002261, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.657350, Class: 1.000000, Obj: 0.024064, No Obj: 0.002321, Avg Recall: 1.000000,  count: 2\n",
            "Region Avg IOU: 0.167317, Class: 1.000000, Obj: 0.028984, No Obj: 0.002382, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.305539, Class: 1.000000, Obj: 0.009977, No Obj: 0.002308, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.355604, Class: 1.000000, Obj: 0.019131, No Obj: 0.002261, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.454144, Class: 1.000000, Obj: 0.014241, No Obj: 0.002274, Avg Recall: 0.500000,  count: 2\n",
            "Region Avg IOU: 0.487873, Class: 1.000000, Obj: 0.005174, No Obj: 0.002231, Avg Recall: 0.000000,  count: 1\n",
            "Region Avg IOU: 0.287787, Class: 1.000000, Obj: 0.009429, No Obj: 0.002244, Avg Recall: 0.000000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 39999: 0.020986, 0.078896 avg loss, 0.000005 rate, 1.357441 seconds, 639984 images, 0.025995 hours left\n",
            "Loaded: 0.000057 seconds\n",
            "Region Avg IOU: 0.332566, Class: 1.000000, Obj: 0.014873, No Obj: 0.002344, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.364860, Class: 1.000000, Obj: 0.010216, No Obj: 0.002191, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.294673, Class: 1.000000, Obj: 0.016822, No Obj: 0.002220, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.320148, Class: 1.000000, Obj: 0.016654, No Obj: 0.002323, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.239384, Class: 1.000000, Obj: 0.008182, No Obj: 0.002298, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.274453, Class: 1.000000, Obj: 0.028078, No Obj: 0.002334, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.357215, Class: 1.000000, Obj: 0.018454, No Obj: 0.002281, Avg Recall: 0.000000,  count: 2\n",
            "Region Avg IOU: 0.414975, Class: 1.000000, Obj: 0.012059, No Obj: 0.002238, Avg Recall: 0.500000,  count: 2\n",
            "\n",
            " Tensor Cores are used.\n",
            "\n",
            " 40000: 0.054431, 0.076449 avg loss, 0.000005 rate, 1.243309 seconds, 640000 images, 0.025739 hours left\n",
            "Saving weights to /content/drive/MyDrive/Yolov4/backup/yolov4Custom_40000.weights\n",
            "Saving weights to /content/drive/MyDrive/Yolov4/backup/yolov4Custom_last.weights\n",
            "Saving weights to /content/drive/MyDrive/Yolov4/backup/yolov4Custom_final.weights\n",
            "If you want to train from the beginning, then use flag in the end of training command: -clear \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "B1gdARUbueVR",
        "outputId": "b8fb99b9-bbb7-491d-ee8d-60ca4af441c1"
      },
      "source": [
        "#Custom detections can be run now\n",
        "#Set custom cfg to test mode\n",
        "%cd cfg\n",
        "!sed -i 's/batch=64/batch=1/' yolov4Custom.cfg\n",
        "!sed -i 's/subdivisions=16/subdivisions=1/' yolov4Custom.cfg\n",
        "%cd .."
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/darknet/cfg\n",
            "/content/darknet\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MmRzoLAKmdJg"
      },
      "source": [
        "import cv2\n",
        "image=cv2.imread('/content/drive/MyDrive/Yolov4/test.jpg')\n",
        "height, width = image.shape[:2]\n",
        "#imShow('/content/drive/MyDrive/Yolov4/test.jpg')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "L7YdMzVOvDuE",
        "outputId": "a7e7d17b-5657-49fe-98b3-b337a1aae965"
      },
      "source": [
        "#Run detection\n",
        "!./darknet detector test data/obj.data cfg/yolov4Custom.cfg /content/drive/MyDrive/Yolov4/backup/yolov4Custom_last.weights ./data/obj/*.jpg -thresh 0.3\n",
        "imShow('predictions.jpg')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " CUDA-version: 11000 (11020), cuDNN: 7.6.5, CUDNN_HALF=1, GPU count: 1  \n",
            " CUDNN_HALF=1 \n",
            " OpenCV version: 3.2.0\n",
            " 0 : compute_capability = 750, cudnn_half = 1, GPU: Tesla T4 \n",
            "net.optimized_memory = 0 \n",
            "mini_batch = 1, batch = 8, time_steps = 1, train = 0 \n",
            "   layer   filters  size/strd(dil)      input                output\n",
            "   0 Create CUDA-stream - 0 \n",
            " Create cudnn-handle 0 \n",
            "conv     32       3 x 3/ 1    448 x 448 x   3 ->  448 x 448 x  32 0.347 BF\n",
            "   1 max                2x 2/ 2    448 x 448 x  32 ->  224 x 224 x  32 0.006 BF\n",
            "   2 conv     64       3 x 3/ 1    224 x 224 x  32 ->  224 x 224 x  64 1.850 BF\n",
            "   3 max                2x 2/ 2    224 x 224 x  64 ->  112 x 112 x  64 0.003 BF\n",
            "   4 conv    128       3 x 3/ 1    112 x 112 x  64 ->  112 x 112 x 128 1.850 BF\n",
            "   5 conv     64       1 x 1/ 1    112 x 112 x 128 ->  112 x 112 x  64 0.206 BF\n",
            "   6 conv    128       3 x 3/ 1    112 x 112 x  64 ->  112 x 112 x 128 1.850 BF\n",
            "   7 max                2x 2/ 2    112 x 112 x 128 ->   56 x  56 x 128 0.002 BF\n",
            "   8 conv    256       3 x 3/ 1     56 x  56 x 128 ->   56 x  56 x 256 1.850 BF\n",
            "   9 conv    128       1 x 1/ 1     56 x  56 x 256 ->   56 x  56 x 128 0.206 BF\n",
            "  10 conv    256       3 x 3/ 1     56 x  56 x 128 ->   56 x  56 x 256 1.850 BF\n",
            "  11 max                2x 2/ 2     56 x  56 x 256 ->   28 x  28 x 256 0.001 BF\n",
            "  12 conv    512       3 x 3/ 1     28 x  28 x 256 ->   28 x  28 x 512 1.850 BF\n",
            "  13 conv    256       1 x 1/ 1     28 x  28 x 512 ->   28 x  28 x 256 0.206 BF\n",
            "  14 conv    512       3 x 3/ 1     28 x  28 x 256 ->   28 x  28 x 512 1.850 BF\n",
            "  15 conv    256       1 x 1/ 1     28 x  28 x 512 ->   28 x  28 x 256 0.206 BF\n",
            "  16 conv    512       3 x 3/ 1     28 x  28 x 256 ->   28 x  28 x 512 1.850 BF\n",
            "  17 max                2x 2/ 2     28 x  28 x 512 ->   14 x  14 x 512 0.000 BF\n",
            "  18 conv   1024       3 x 3/ 1     14 x  14 x 512 ->   14 x  14 x1024 1.850 BF\n",
            "  19 conv    512       1 x 1/ 1     14 x  14 x1024 ->   14 x  14 x 512 0.206 BF\n",
            "  20 conv   1024       3 x 3/ 1     14 x  14 x 512 ->   14 x  14 x1024 1.850 BF\n",
            "  21 conv    512       1 x 1/ 1     14 x  14 x1024 ->   14 x  14 x 512 0.206 BF\n",
            "  22 conv   1024       3 x 3/ 1     14 x  14 x 512 ->   14 x  14 x1024 1.850 BF\n",
            "  23 conv   1024       3 x 3/ 1     14 x  14 x1024 ->   14 x  14 x1024 3.699 BF\n",
            "  24 conv   1024       3 x 3/ 1     14 x  14 x1024 ->   14 x  14 x1024 3.699 BF\n",
            "  25 route  16 \t\t                           ->   28 x  28 x 512 \n",
            "  26 conv     64       1 x 1/ 1     28 x  28 x 512 ->   28 x  28 x  64 0.051 BF\n",
            "  27 \n",
            " reorg_old \n",
            "reorg_old              / 2    28 x  28 x  64   ->    14 x  14 x 256\n",
            "  28 route  27 24 \t                           ->   14 x  14 x1280 \n",
            "  29 conv   1024       3 x 3/ 1     14 x  14 x1280 ->   14 x  14 x1024 4.624 BF\n",
            "  30 conv     30       1 x 1/ 1     14 x  14 x1024 ->   14 x  14 x  30 0.012 BF\n",
            "  31 detection\n",
            "mask_scale: Using default '1.000000'\n",
            "Total BFLOPS 34.025 \n",
            "avg_outputs = 704399 \n",
            " Allocate additional workspace_size = 131.08 MB \n",
            "Loading weights from /content/drive/MyDrive/Yolov4/backup/yolov4Custom_last.weights...\n",
            " seen 64, trained: 640 K-images (10 Kilo-batches_64) \n",
            "Done! Loaded 32 layers from weights-file \n",
            " Detection layer: 31 - type = 27 \n",
            "./data/obj/001-0049.jpg: Predicted in 13.099000 milli-seconds.\n",
            "Unable to init server: Could not connect: Connection refused\n",
            "\n",
            "(predictions:10755): Gtk-\u001b[1;33mWARNING\u001b[0m **: \u001b[34m20:56:21.286\u001b[0m: cannot open display: \n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1296x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}