yolov8_training.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "torch.cuda.empty_cache()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "HOME = os.getcwd()\n",
    "print(HOME)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "ANNOTATIONS_DIRECTORY_PATH = f\"{HOME}/dataset/train_whole/labels\"\n",
    "IMAGES_DIRECTORY_PATH = f\"{HOME}/dataset/train_whole/images\"\n",
    "DATA_YAML_PATH = f\"{HOME}/dataset/data.yaml\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %cd {HOME}\n",
    "\n",
    "# from autodistill_yolov8 import YOLOv8\n",
    "\n",
    "# target_model = YOLOv8(\"yolov8n.pt\")\n",
    "# target_model.train(DATA_YAML_PATH, epochs=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !ls {HOME}/runs/detect/train2/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/dataset/data.yaml'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# DATA_YAML_PATH = f\"{HOME}/dataset/dataset.yaml\"\n",
    "DATA_YAML_PATH"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "New https://pypi.org/project/ultralytics/8.0.134 available 😃 Update with 'pip install -U ultralytics'\n",
      "Ultralytics YOLOv8.0.81 🚀 Python-3.10.6 torch-2.0.1+cu117 CUDA:0 (NVIDIA GeForce GTX 1660 Ti, 5934MiB)\n",
      "\u001b[34m\u001b[1myolo/engine/trainer: \u001b[0mtask=detect, mode=train, model=yolov8s.pt, data=/home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/dataset/data.yaml, epochs=100, patience=50, batch=8, imgsz=640, save=True, save_period=-1, cache=False, device=None, workers=8, project=None, name=None, exist_ok=False, pretrained=False, optimizer=SGD, verbose=True, seed=0, deterministic=True, single_cls=False, image_weights=False, rect=False, cos_lr=False, close_mosaic=0, resume=False, amp=False, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, split=val, save_json=False, save_hybrid=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, show=False, save_txt=False, save_conf=False, save_crop=False, show_labels=True, show_conf=True, vid_stride=1, line_thickness=3, visualize=False, augment=False, agnostic_nms=False, classes=None, retina_masks=False, boxes=True, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=None, workspace=4, nms=False, lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=7.5, cls=0.5, dfl=1.5, pose=12.0, kobj=1.0, label_smoothing=0.0, nbs=64, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0, cfg=None, v5loader=False, tracker=botsort.yaml, save_dir=runs/detect/train17\n",
      "Overriding model.yaml nc=80 with nc=1\n",
      "\n",
      "                   from  n    params  module                                       arguments                     \n",
      "  0                  -1  1       928  ultralytics.nn.modules.Conv                  [3, 32, 3, 2]                 \n",
      "  1                  -1  1     18560  ultralytics.nn.modules.Conv                  [32, 64, 3, 2]                \n",
      "  2                  -1  1     29056  ultralytics.nn.modules.C2f                   [64, 64, 1, True]             \n",
      "  3                  -1  1     73984  ultralytics.nn.modules.Conv                  [64, 128, 3, 2]               \n",
      "  4                  -1  2    197632  ultralytics.nn.modules.C2f                   [128, 128, 2, True]           \n",
      "  5                  -1  1    295424  ultralytics.nn.modules.Conv                  [128, 256, 3, 2]              \n",
      "  6                  -1  2    788480  ultralytics.nn.modules.C2f                   [256, 256, 2, True]           \n",
      "  7                  -1  1   1180672  ultralytics.nn.modules.Conv                  [256, 512, 3, 2]              \n",
      "  8                  -1  1   1838080  ultralytics.nn.modules.C2f                   [512, 512, 1, True]           \n",
      "  9                  -1  1    656896  ultralytics.nn.modules.SPPF                  [512, 512, 5]                 \n",
      " 10                  -1  1         0  torch.nn.modules.upsampling.Upsample         [None, 2, 'nearest']          \n",
      " 11             [-1, 6]  1         0  ultralytics.nn.modules.Concat                [1]                           \n",
      " 12                  -1  1    591360  ultralytics.nn.modules.C2f                   [768, 256, 1]                 \n",
      " 13                  -1  1         0  torch.nn.modules.upsampling.Upsample         [None, 2, 'nearest']          \n",
      " 14             [-1, 4]  1         0  ultralytics.nn.modules.Concat                [1]                           \n",
      " 15                  -1  1    148224  ultralytics.nn.modules.C2f                   [384, 128, 1]                 \n",
      " 16                  -1  1    147712  ultralytics.nn.modules.Conv                  [128, 128, 3, 2]              \n",
      " 17            [-1, 12]  1         0  ultralytics.nn.modules.Concat                [1]                           \n",
      " 18                  -1  1    493056  ultralytics.nn.modules.C2f                   [384, 256, 1]                 \n",
      " 19                  -1  1    590336  ultralytics.nn.modules.Conv                  [256, 256, 3, 2]              \n",
      " 20             [-1, 9]  1         0  ultralytics.nn.modules.Concat                [1]                           \n",
      " 21                  -1  1   1969152  ultralytics.nn.modules.C2f                   [768, 512, 1]                 \n",
      " 22        [15, 18, 21]  1   2116435  ultralytics.nn.modules.Detect                [1, [128, 256, 512]]          \n",
      "Model summary: 225 layers, 11135987 parameters, 11135971 gradients, 28.6 GFLOPs\n",
      "\n",
      "Transferred 349/355 items from pretrained weights\n",
      "\u001b[34m\u001b[1mTensorBoard: \u001b[0mStart with 'tensorboard --logdir runs/detect/train17', view at http://localhost:6006/\n",
      "\u001b[34m\u001b[1moptimizer:\u001b[0m SGD(lr=0.01) with parameter groups 57 weight(decay=0.0), 64 weight(decay=0.0005), 63 bias\n",
      "\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/dataset/train_whole/labels.cache... 68 images, 0 backgrounds, 0 corrupt: 100%|██████████| 68/68 [00:00<?, ?it/s]\n",
      "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))\n",
      "\u001b[34m\u001b[1mval: \u001b[0mScanning /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/dataset/valid/labels.cache... 10 images, 0 backgrounds, 0 corrupt: 100%|██████████| 10/10 [00:00<?, ?it/s]\n",
      "Plotting labels to runs/detect/train17/labels.jpg... \n",
      "/home/darth/MLAI-projects/yolo_conveyor/envyolo/lib/python3.10/site-packages/seaborn/axisgrid.py:118: UserWarning: The figure layout has changed to tight\n",
      "  self._figure.tight_layout(*args, **kwargs)\n",
      "Image sizes 640 train, 640 val\n",
      "Using 4 dataloader workers\n",
      "Logging results to \u001b[1mruns/detect/train17\u001b[0m\n",
      "Starting training for 100 epochs...\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      1/100      3.92G     0.6046        1.7     0.8656        175        640: 100%|██████████| 9/9 [00:07<00:00,  1.24it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.56it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      2/100      3.89G     0.4317     0.5191     0.8313        131        640: 100%|██████████| 9/9 [00:02<00:00,  3.26it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.86it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      3/100      3.82G      0.471     0.4437     0.8216        225        640: 100%|██████████| 9/9 [00:02<00:00,  3.26it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  4.03it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      4/100      3.83G     0.5348     0.4444     0.8205        255        640: 100%|██████████| 9/9 [00:02<00:00,  3.30it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  4.02it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      5/100      3.88G     0.5577     0.4643     0.8187        202        640: 100%|██████████| 9/9 [00:02<00:00,  3.29it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.79it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      6/100      3.97G      0.547     0.4932     0.8192        341        640: 100%|██████████| 9/9 [00:02<00:00,  3.31it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.87it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      7/100         4G     0.6723      0.491      0.829        250        640: 100%|██████████| 9/9 [00:02<00:00,  3.24it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.83it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      8/100      3.92G      0.745     0.4848     0.8326        236        640: 100%|██████████| 9/9 [00:02<00:00,  3.32it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  4.00it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "      9/100       3.9G     0.7546     0.4614      0.841        180        640: 100%|██████████| 9/9 [00:02<00:00,  3.27it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.91it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     10/100       3.9G     0.8195     0.5143     0.8405        298        640: 100%|██████████| 9/9 [00:02<00:00,  3.29it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.95it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     11/100      3.94G     0.7982     0.5435     0.8394        257        640: 100%|██████████| 9/9 [00:02<00:00,  3.29it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.85it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     12/100      3.83G     0.7221     0.7537     0.8356        200        640: 100%|██████████| 9/9 [00:02<00:00,  3.21it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.96it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     13/100       3.9G     0.6461     0.6045     0.8213        244        640: 100%|██████████| 9/9 [00:02<00:00,  3.43it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.84it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     14/100      3.92G     0.6973     0.6358     0.8277        208        640: 100%|██████████| 9/9 [00:02<00:00,  3.21it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.93it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     15/100      3.87G     0.8132     0.5011     0.8391        323        640: 100%|██████████| 9/9 [00:02<00:00,  3.22it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.71it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     16/100      3.96G     0.7603      0.574     0.8399        342        640: 100%|██████████| 9/9 [00:02<00:00,  3.32it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.86it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     17/100       3.9G     0.6544     0.5731     0.8311        301        640: 100%|██████████| 9/9 [00:02<00:00,  3.09it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.56it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     18/100      3.93G     0.6695     0.5126     0.8366        247        640: 100%|██████████| 9/9 [00:02<00:00,  3.30it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.95it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     19/100      3.98G     0.7286      0.494     0.8432        265        640: 100%|██████████| 9/9 [00:02<00:00,  3.25it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  4.01it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     20/100      3.84G     0.6817     0.4486     0.8313        401        640: 100%|██████████| 9/9 [00:02<00:00,  3.20it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.94it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     21/100      3.92G     0.7272     0.4908      0.843        202        640: 100%|██████████| 9/9 [00:02<00:00,  3.30it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.57it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     22/100      4.01G     0.6872     0.4803     0.8345        202        640: 100%|██████████| 9/9 [00:02<00:00,  3.20it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.94it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     23/100      3.93G     0.6475     0.4368     0.8279        238        640: 100%|██████████| 9/9 [00:02<00:00,  3.21it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.81it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     24/100      3.91G     0.6747     0.4892     0.8313        219        640: 100%|██████████| 9/9 [00:02<00:00,  3.29it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.75it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     25/100      3.87G     0.5736     0.6013     0.8279        200        640: 100%|██████████| 9/9 [00:02<00:00,  3.18it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.83it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     26/100      3.91G     0.5099     0.4479     0.8156        311        640: 100%|██████████| 9/9 [00:02<00:00,  3.26it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.70it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     27/100      3.99G      0.606     0.5312     0.8324        247        640: 100%|██████████| 9/9 [00:02<00:00,  3.14it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.81it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     28/100      3.97G      0.516     0.4379     0.8251        200        640: 100%|██████████| 9/9 [00:02<00:00,  3.26it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.89it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     29/100      3.86G     0.6251     0.4562     0.8327        210        640: 100%|██████████| 9/9 [00:02<00:00,  3.29it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.93it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     30/100       3.9G     0.4915     0.4242     0.8255        196        640: 100%|██████████| 9/9 [00:02<00:00,  3.22it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.74it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     31/100      3.81G     0.5603     0.4387     0.8266        348        640: 100%|██████████| 9/9 [00:02<00:00,  3.28it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.93it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     32/100      3.93G     0.5251     0.4174      0.824        210        640: 100%|██████████| 9/9 [00:02<00:00,  3.22it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.97it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     33/100       3.9G     0.5053     0.4085     0.8256        123        640: 100%|██████████| 9/9 [00:02<00:00,  3.30it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.90it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     34/100      3.86G     0.5202      0.382     0.8249        310        640: 100%|██████████| 9/9 [00:02<00:00,  3.31it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.96it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     35/100      3.93G     0.5639     0.3563     0.8194        180        640: 100%|██████████| 9/9 [00:02<00:00,  3.17it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.69it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     36/100      3.87G     0.5211     0.3584     0.8254        278        640: 100%|██████████| 9/9 [00:02<00:00,  3.25it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.91it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     37/100      3.93G      0.527     0.3507      0.812        416        640: 100%|██████████| 9/9 [00:02<00:00,  3.27it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.77it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     38/100      3.98G     0.5196     0.3476     0.8143        259        640: 100%|██████████| 9/9 [00:02<00:00,  3.16it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.33it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     39/100      3.98G     0.5016     0.3453     0.8142        135        640: 100%|██████████| 9/9 [00:02<00:00,  3.22it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.82it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     40/100      3.89G      0.495     0.3314     0.8097        284        640: 100%|██████████| 9/9 [00:02<00:00,  3.27it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.90it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     41/100         4G     0.5265     0.3416     0.8025        211        640: 100%|██████████| 9/9 [00:02<00:00,  3.24it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.89it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     42/100      3.85G      0.461      0.318     0.7976        226        640: 100%|██████████| 9/9 [00:02<00:00,  3.32it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.71it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     43/100      3.88G     0.4471     0.3378     0.8052        318        640: 100%|██████████| 9/9 [00:02<00:00,  3.21it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.82it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     44/100      3.91G     0.4948     0.3352     0.8053        212        640: 100%|██████████| 9/9 [00:02<00:00,  3.23it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.91it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     45/100      3.91G     0.4622     0.3319     0.8136        204        640: 100%|██████████| 9/9 [00:02<00:00,  3.29it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  4.00it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     46/100      3.91G     0.4403     0.3267     0.8035        310        640: 100%|██████████| 9/9 [00:02<00:00,  3.32it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.83it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     47/100      3.89G      0.488      0.334     0.8062        322        640: 100%|██████████| 9/9 [00:02<00:00,  3.26it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.84it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     48/100      3.98G     0.4291     0.3138     0.8051        195        640: 100%|██████████| 9/9 [00:02<00:00,  3.30it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.75it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     49/100      4.01G      0.471     0.3401     0.8089        172        640: 100%|██████████| 9/9 [00:02<00:00,  3.16it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.78it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     50/100      3.85G     0.4198     0.3243     0.8017        158        640: 100%|██████████| 9/9 [00:02<00:00,  3.23it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.80it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     51/100      3.87G     0.4488     0.3228     0.8091        143        640: 100%|██████████| 9/9 [00:02<00:00,  3.19it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.80it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     52/100      3.83G     0.3907      0.302     0.8078        271        640: 100%|██████████| 9/9 [00:02<00:00,  3.16it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.61it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     53/100         4G     0.4719     0.3292      0.811        244        640: 100%|██████████| 9/9 [00:02<00:00,  3.09it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.40it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     54/100      4.01G     0.4034     0.2964     0.8031        217        640: 100%|██████████| 9/9 [00:02<00:00,  3.21it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.66it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     55/100      3.93G      0.407     0.3047     0.8067        129        640: 100%|██████████| 9/9 [00:02<00:00,  3.24it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.66it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     56/100      3.97G      0.381     0.3038     0.8049        250        640: 100%|██████████| 9/9 [00:02<00:00,  3.17it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.23it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     57/100      3.89G     0.3701     0.2941     0.8009        295        640: 100%|██████████| 9/9 [00:02<00:00,  3.24it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.97it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     58/100      3.89G     0.4188     0.2923     0.8057        303        640: 100%|██████████| 9/9 [00:02<00:00,  3.29it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.93it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     59/100      3.92G     0.3678     0.2769     0.7999        298        640: 100%|██████████| 9/9 [00:02<00:00,  3.20it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.89it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     60/100      3.92G     0.4378     0.2994     0.8017        296        640: 100%|██████████| 9/9 [00:02<00:00,  3.27it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.79it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     61/100         4G     0.3479      0.276     0.7974        226        640: 100%|██████████| 9/9 [00:02<00:00,  3.24it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.75it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     62/100      3.94G     0.4073     0.3101      0.801        330        640: 100%|██████████| 9/9 [00:02<00:00,  3.21it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.84it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     63/100      3.87G     0.3629     0.2863     0.7956        147        640: 100%|██████████| 9/9 [00:02<00:00,  3.24it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.91it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     64/100      3.99G     0.3836      0.292     0.7936        284        640: 100%|██████████| 9/9 [00:02<00:00,  3.18it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.88it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     65/100      3.87G     0.3779     0.2853     0.8008        294        640: 100%|██████████| 9/9 [00:02<00:00,  3.24it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.81it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     66/100      3.86G     0.3309     0.2624     0.7976        152        640: 100%|██████████| 9/9 [00:02<00:00,  3.29it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.93it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     67/100      3.92G      0.343     0.2787     0.7965        284        640: 100%|██████████| 9/9 [00:02<00:00,  3.29it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.94it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     68/100      3.91G     0.3566     0.2803     0.7968        281        640: 100%|██████████| 9/9 [00:02<00:00,  3.28it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.85it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     69/100      3.86G     0.3208     0.2648     0.7899        214        640: 100%|██████████| 9/9 [00:02<00:00,  3.21it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.86it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     70/100      3.86G     0.3583     0.2709     0.7988        281        640: 100%|██████████| 9/9 [00:02<00:00,  3.19it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.91it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     71/100      3.92G     0.3296     0.2703     0.7972        128        640: 100%|██████████| 9/9 [00:02<00:00,  3.29it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.55it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     72/100      3.82G     0.3153     0.2631     0.7978        275        640: 100%|██████████| 9/9 [00:02<00:00,  3.29it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.84it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     73/100      3.98G     0.3311      0.267      0.795        261        640: 100%|██████████| 9/9 [00:02<00:00,  3.24it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.78it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     74/100      3.86G     0.2905     0.2532     0.7952        185        640: 100%|██████████| 9/9 [00:02<00:00,  3.25it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.75it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     75/100      3.99G     0.3294     0.2669     0.7933        137        640: 100%|██████████| 9/9 [00:02<00:00,  3.24it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.56it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     76/100      3.89G     0.2836     0.2475     0.7956        193        640: 100%|██████████| 9/9 [00:02<00:00,  3.25it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.71it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     77/100      3.95G     0.3076      0.255      0.793        248        640: 100%|██████████| 9/9 [00:02<00:00,  3.23it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.78it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     78/100      3.87G     0.2736     0.2419     0.7958        180        640: 100%|██████████| 9/9 [00:02<00:00,  3.34it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.76it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     79/100      3.91G      0.299     0.2474     0.7956        151        640: 100%|██████████| 9/9 [00:02<00:00,  3.18it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.80it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     80/100      3.92G     0.2728     0.2365     0.7975        147        640: 100%|██████████| 9/9 [00:02<00:00,  3.27it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.61it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     81/100      3.93G     0.3046     0.2474     0.7887        348        640: 100%|██████████| 9/9 [00:02<00:00,  3.25it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.72it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     82/100      3.94G     0.2712     0.2342     0.7921        230        640: 100%|██████████| 9/9 [00:02<00:00,  3.28it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.37it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     83/100      3.97G     0.2671     0.2323     0.7921        225        640: 100%|██████████| 9/9 [00:02<00:00,  3.22it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.71it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     84/100      3.99G     0.2933     0.2406     0.7913        247        640: 100%|██████████| 9/9 [00:02<00:00,  3.26it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.70it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     85/100      3.87G     0.2866     0.2377      0.787        362        640: 100%|██████████| 9/9 [00:02<00:00,  3.26it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.84it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     86/100      3.93G     0.2607     0.2288     0.7875        235        640: 100%|██████████| 9/9 [00:02<00:00,  3.27it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.71it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     87/100      4.03G     0.2571     0.2265     0.7889        251        640: 100%|██████████| 9/9 [00:02<00:00,  3.29it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.90it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     88/100      3.93G     0.2595      0.227     0.7879        119        640: 100%|██████████| 9/9 [00:02<00:00,  3.20it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.86it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     89/100      3.87G     0.2625     0.2262     0.7898        348        640: 100%|██████████| 9/9 [00:02<00:00,  3.15it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.92it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     90/100      3.85G     0.2498     0.2212     0.7914        116        640: 100%|██████████| 9/9 [00:02<00:00,  3.28it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.73it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     91/100      3.85G      0.275      0.223     0.7881        268        640: 100%|██████████| 9/9 [00:02<00:00,  3.29it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.73it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     92/100      3.92G     0.2441     0.2127     0.7886        134        640: 100%|██████████| 9/9 [00:02<00:00,  3.32it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.88it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     93/100      3.96G     0.2528     0.2158     0.7891        184        640: 100%|██████████| 9/9 [00:02<00:00,  3.27it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.69it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     94/100      3.98G     0.2374     0.2078     0.7889        204        640: 100%|██████████| 9/9 [00:02<00:00,  3.27it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.97it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     95/100      3.91G     0.2357     0.2104     0.7837        327        640: 100%|██████████| 9/9 [00:02<00:00,  3.28it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.73it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     96/100      3.97G     0.2212     0.2039     0.7839        170        640: 100%|██████████| 9/9 [00:02<00:00,  3.42it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.73it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     97/100      3.82G      0.215     0.2014     0.7912        173        640: 100%|██████████| 9/9 [00:02<00:00,  3.33it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.89it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     98/100      3.99G     0.2249     0.2042     0.7862        173        640: 100%|██████████| 9/9 [00:02<00:00,  3.25it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.42it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "     99/100      4.02G     0.2346     0.2057     0.7854        300        640: 100%|██████████| 9/9 [00:02<00:00,  3.11it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.23it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
      "    100/100      3.89G     0.2316     0.2042     0.7811        225        640: 100%|██████████| 9/9 [00:02<00:00,  3.18it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.75it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "\n",
      "100 epochs completed in 0.210 hours.\n",
      "Optimizer stripped from runs/detect/train17/weights/last.pt, 22.5MB\n",
      "Optimizer stripped from runs/detect/train17/weights/best.pt, 22.5MB\n",
      "\n",
      "Validating runs/detect/train17/weights/best.pt...\n",
      "Ultralytics YOLOv8.0.81 🚀 Python-3.10.6 torch-2.0.1+cu117 CUDA:0 (NVIDIA GeForce GTX 1660 Ti, 5934MiB)\n",
      "Model summary (fused): 168 layers, 11125971 parameters, 0 gradients, 28.4 GFLOPs\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.54it/s]\n",
      "                   all         10        321          0          0          0          0\n",
      "Speed: 0.2ms preprocess, 26.6ms inference, 0.0ms loss, 0.1ms postprocess per image\n",
      "Results saved to \u001b[1mruns/detect/train17\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "from ultralytics import YOLO\n",
    "\n",
    "# Load a model\n",
    "model = YOLO('yolov8s.pt')  # load a pretrained model (recommended for training)\n",
    "\n",
    "# Train the model with 1 GPUs\n",
    "model.train(data=DATA_YAML_PATH, epochs=100, imgsz=640, batch=8, amp=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ultralytics YOLOv8.0.81 🚀 Python-3.10.6 torch-2.0.1+cu117 CUDA:0 (NVIDIA GeForce GTX 1660 Ti, 5934MiB)\n",
      "Model summary (fused): 168 layers, 11125971 parameters, 0 gradients, 28.4 GFLOPs\n",
      "\n",
      "image 1/1 /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/images/video2-00023.png: 384x640 35 chocolates, 58.6ms\n",
      "Speed: 0.5ms preprocess, 58.6ms inference, 2.7ms postprocess per image at shape (1, 3, 640, 640)\n",
      "Results saved to \u001b[1mruns/detect/predict14\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!yolo predict model=\"runs/detect/train17/weights/best.pt\" source=\"images/video2-00023.png\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ultralytics YOLOv8.0.81 🚀 Python-3.10.6 torch-2.0.1+cu117 CUDA:0 (NVIDIA GeForce GTX 1660 Ti, 5934MiB)\n",
      "Model summary (fused): 168 layers, 11125971 parameters, 0 gradients, 28.4 GFLOPs\n",
      "\n",
      "video 1/1 (1/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 58.1ms\n",
      "video 1/1 (2/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 6.7ms\n",
      "video 1/1 (3/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 7.2ms\n",
      "video 1/1 (4/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 7.7ms\n",
      "video 1/1 (5/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 7.7ms\n",
      "video 1/1 (6/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 8.0ms\n",
      "video 1/1 (7/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 6.7ms\n",
      "video 1/1 (8/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 7.6ms\n",
      "video 1/1 (9/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 7.8ms\n",
      "video 1/1 (10/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 7.8ms\n",
      "video 1/1 (11/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 7.7ms\n",
      "video 1/1 (12/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 32 chocolates, 9.1ms\n",
      "video 1/1 (13/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 32 chocolates, 8.0ms\n",
      "video 1/1 (14/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 32 chocolates, 8.0ms\n",
      "video 1/1 (15/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 7.8ms\n",
      "video 1/1 (16/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 7.9ms\n",
      "video 1/1 (17/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 7.9ms\n",
      "video 1/1 (18/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 8.3ms\n",
      "video 1/1 (19/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 8.3ms\n",
      "video 1/1 (20/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 8.6ms\n",
      "video 1/1 (21/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 32 chocolates, 9.0ms\n",
      "video 1/1 (22/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 32 chocolates, 9.0ms\n",
      "video 1/1 (23/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 32 chocolates, 9.8ms\n",
      "video 1/1 (24/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 8.9ms\n",
      "video 1/1 (25/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 9.0ms\n",
      "video 1/1 (26/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 8.8ms\n",
      "video 1/1 (27/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 7.9ms\n",
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      "video 1/1 (378/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 35 chocolates, 7.9ms\n",
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      "video 1/1 (382/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 35 chocolates, 8.3ms\n",
      "video 1/1 (383/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 35 chocolates, 8.3ms\n",
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      "video 1/1 (394/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 35 chocolates, 8.1ms\n",
      "video 1/1 (395/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 35 chocolates, 7.8ms\n",
      "video 1/1 (396/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 35 chocolates, 8.8ms\n",
      "video 1/1 (397/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 35 chocolates, 8.3ms\n",
      "video 1/1 (398/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 7.9ms\n",
      "video 1/1 (399/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 7.8ms\n",
      "video 1/1 (400/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 8.3ms\n",
      "video 1/1 (401/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 8.4ms\n",
      "video 1/1 (402/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 9.3ms\n",
      "video 1/1 (403/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 9.1ms\n",
      "video 1/1 (404/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 8.5ms\n",
      "video 1/1 (405/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 8.2ms\n",
      "video 1/1 (406/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 7.9ms\n",
      "video 1/1 (407/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 7.9ms\n",
      "video 1/1 (408/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 7.8ms\n",
      "video 1/1 (409/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 32 chocolates, 7.9ms\n",
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      "video 1/1 (411/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 32 chocolates, 7.9ms\n",
      "video 1/1 (412/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 8.1ms\n",
      "video 1/1 (413/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 8.4ms\n",
      "video 1/1 (414/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 8.4ms\n",
      "video 1/1 (415/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 8.9ms\n",
      "video 1/1 (416/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 8.9ms\n",
      "video 1/1 (417/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 9.0ms\n",
      "video 1/1 (418/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 8.0ms\n",
      "video 1/1 (419/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 8.2ms\n",
      "video 1/1 (420/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 8.3ms\n",
      "video 1/1 (421/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 9.2ms\n",
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      "video 1/1 (423/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 7.9ms\n",
      "video 1/1 (424/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 34 chocolates, 7.9ms\n",
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      "video 1/1 (426/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 7.8ms\n",
      "video 1/1 (427/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 7.9ms\n",
      "video 1/1 (428/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 8.4ms\n",
      "video 1/1 (429/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 33 chocolates, 8.4ms\n",
      "video 1/1 (430/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 32 chocolates, 9.3ms\n",
      "video 1/1 (431/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 32 chocolates, 9.2ms\n",
      "video 1/1 (432/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 32 chocolates, 9.1ms\n",
      "video 1/1 (433/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 31 chocolates, 9.0ms\n",
      "video 1/1 (434/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 30 chocolates, 8.3ms\n",
      "video 1/1 (435/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 30 chocolates, 8.2ms\n",
      "video 1/1 (436/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 30 chocolates, 9.0ms\n",
      "video 1/1 (437/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 30 chocolates, 9.4ms\n",
      "video 1/1 (438/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 30 chocolates, 8.2ms\n",
      "video 1/1 (439/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 30 chocolates, 8.4ms\n",
      "video 1/1 (440/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 30 chocolates, 8.3ms\n",
      "video 1/1 (441/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 30 chocolates, 8.7ms\n",
      "video 1/1 (442/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 30 chocolates, 8.9ms\n",
      "video 1/1 (443/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 30 chocolates, 9.1ms\n",
      "video 1/1 (444/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 30 chocolates, 9.4ms\n",
      "video 1/1 (445/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 30 chocolates, 8.7ms\n",
      "video 1/1 (446/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 30 chocolates, 8.4ms\n",
      "video 1/1 (447/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 30 chocolates, 9.4ms\n",
      "video 1/1 (448/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 30 chocolates, 8.4ms\n",
      "video 1/1 (449/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 31 chocolates, 7.9ms\n",
      "video 1/1 (450/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 31 chocolates, 8.3ms\n",
      "video 1/1 (451/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 30 chocolates, 8.3ms\n",
      "video 1/1 (452/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 30 chocolates, 8.4ms\n",
      "video 1/1 (453/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 30 chocolates, 8.9ms\n",
      "video 1/1 (454/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 30 chocolates, 7.8ms\n",
      "video 1/1 (455/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 30 chocolates, 7.9ms\n",
      "video 1/1 (456/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 30 chocolates, 8.1ms\n",
      "video 1/1 (457/457) /home/darth/MLAI-projects/yolo_conveyor/yolo_conveyor_belt/raw_video/conveyor_chocolate.mp4: 384x640 30 chocolates, 8.2ms\n",
      "Speed: 0.4ms preprocess, 8.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)\n",
      "Results saved to \u001b[1mruns/detect/predict17\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!yolo predict model=\"runs/detect/train17/weights/best.pt\" source=\"raw_video/conveyor_chocolate.mp4\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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