executable_papers/Image_Captioning_Reproducible_Paper.ipynb

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      "source": [
        "<a href=\"https://colab.research.google.com/github/LuizPitaAlmeida/image_caption_generator/blob/master/executable_papers/Image_Captioning_Reproducible_Paper.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
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    {
      "cell_type": "markdown",
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      "source": [
        "# Image captioning using Convolutional Neural Networks and moderns Natural Language models\n",
        "\n",
        "Luiz Eduardo Pita Mercês Almeida - l229078@g.unicamp.br\n",
        "\n",
        "Executable form of the paper [Image captioning using Convolutional Neural Networks and moderns Natural Language models](https://github.com/LuizPitaAlmeida/image_caption_generator/blob/master/Image_Captioning.pdf).\n",
        "\n",
        "- To simple run, go to Runtime Menu and click Run All or simple press Control+F9.\n",
        "- To edit, please, create a copy to your drive.\n",
        "\n",
        "![show_and_tell_model](https://github.com/LuizPitaAlmeida/image_caption_generator/blob/master/figures/show_and_tell_img_introduction.png?raw=true)\n",
        "\n",
        "<font size=\"2\"> <center> *Vinyals et al - Show and Tell: A Neural Image Caption Generator (2015) [1].*  </center> </font>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7NSooNgCZpWY",
        "colab_type": "text"
      },
      "source": [
        "## Abstract\n",
        "\n",
        "---\n",
        "On the last decade, deep learning techniques archived many state of art results in computer research areas such as Computer Vision. Nowadays, we are experimenting a revolution in Natural Language Processing field. One task that join Computer Vision and NLP is the image captioning task. This task , using a deep learning approach, consists of extract deep representations of images using a Convolutional Neural Network model, associated them with a embedding representation of caption words in a language generator model. This paper purposes an algorithm based on a encoder-decoder architecture to predict new captions for an image. This model uses a ResNet101 CNN to extract features from image, a BERT model to generate word embedding, and a LSTM layer as text generator. Also, we included a Soft Attention mechanism to calculate the relationship between each predicted word and a portion of the respective image. To measure our results we used the BLEU metric, a common metric used for the chosen dataset, Coco Captions dataset. This paper source code can be find in GitHub.\n",
        "\n",
        "Repository GitHub: https://github.com/LuizPitaAlmeida/image_caption_generator\n"
      ]
    },
    {
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      "metadata": {
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          "height": 34
        },
        "outputId": "2dfa1449-d7dc-4915-aefa-541a0a8c7aa5"
      },
      "source": [
        "!git clone --quiet https://github.com/LuizPitaAlmeida/image_caption_generator\n",
        "!cd image_caption_generator && git pull"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Already up to date.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
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        "colab_type": "text"
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      "source": [
        "## Introduction\n",
        "---\n",
        "With the emergence of deep learning, specially the advent of Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN), the image captioning area, like many other subjects of Computer Vision, achieved new state of art results. The image captioning is an automatic way to describe an image, generating a caption for the scene. It can help in many applications, such as image retrieval. The image captioning incorporate many areas of Computer Vision, such as object detection, object recognition, scene understanding, object properties and their interactions. All of these are necessary to make a machine understand an image, but it also necessary to make a machine learn how to generate a sentence[2].\n",
        "\n",
        "Another research area that got an upgrade with the advances on deep learning is the Natural Language Processing (NLP). This area gotten better results with the use of neural models, followed by the use of RNN, such as LSTM (Long Short Term Memory) and GRU (Gated Recurrent Unit). Nowadays, the state of arts results are focus on the use of attention mechanisms, mainly with the advent of Transform models[3]. Pre-trained Transform models like BERT (Bidirectional Encoder Representations from Transformers)[4] and T5[5] are the most modern state of art methods in NLP.\n",
        "\n",
        "In general, image caption models follow a encoder-decoder architecture, where the encoder is an image feature extractor, mostly a CNN. This image encoder can be associated to a language model encoder to generate a jointly embedded representation of words and images. This association forms the multi-modal language models. On the other hand, the decoder is a text generator model, mainly using LSTM language models, that translate the embedding from encoders into a sentence. This approach is mainly trained using a supervised method. Others approaches include the usage of reinforcement learning, unsupervised learning, attention mechanisms, semantic concepts, additional code blocks that check the quality of the text generated, generative adversarial networks, and others [2].\n",
        " \n",
        "This paper focus in implement a image caption generator demonstration that follows a encoder-decoder architecture. The encoder is a CNN model only to extract images features, so it is not a multi-modal encoder. The decoder uses a modern NLP pre-trained model, the BERT, to generate word embedding, and a LSTM network to generate captions. \n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "owOEv1fYcGiT",
        "colab_type": "text"
      },
      "source": [
        "## Related works\n",
        "---\n",
        "The first famous paper using Deep Learning in image captioning was the Show and Tell (2015) paper [1]. The authors of this paper proposed an encoder-decoder approach for the task basing in the advances in machine translation algorithms. Instead of use a RNN encoder, they propose to use an CNN to extract deep features from the images. In the time of the paper, CNN approach were hype algorithms for image processing tasks. The final model proposed had a CNN encoder and RNN decoder, as shown in Fig.1.\n",
        "\n",
        "<center> Figure 1 - Show and Tell Model. </center>\n",
        "\n",
        "![show_and_tell_model](https://github.com/LuizPitaAlmeida/image_caption_generator/blob/master/figures/show_and_tell_model.png?raw=true)\n",
        "\n",
        "<font size=\"2\"> <center> *Vinyals et al - Show and Tell: A Neural Image Caption Generator (2015) [1].*  </center> </font>\n",
        "\n",
        "A second paper that based our implementation was the Show, Attend and Tell (2015) paper [6]. This paper was published near the publication of Show and Tell (2015) paper. It uses the same idea of Show and Tell, but change the RNN decoder for a LSTM decoder, and add the concept of Attention Mechanism for images. The main contribution of the paper were the two attention mechanisms proposed. The first one, used in our paper, was the Soft Attention that uses linear layers to determine in a deterministic way what region of the image embedding the decoder needs to look to predict a correlated word. The second one is the Hard Attention, that combines supervised approach with a reinforcement learning approach creating an stochastic attention mechanism for images. Fig.2 and Fig.3 illustrate the proposed model and how the attention mechanism acts on images.\n",
        "\n",
        "<center> Figure 2 - Show, Attend and Tell Model. </center>\n",
        "\n",
        "![show_attend_and_tell_model](https://github.com/LuizPitaAlmeida/image_caption_generator/blob/master/figures/show_attend_tell_model.png?raw=true)\n",
        "<font size=\"2\"> <center> *Xu et al - Show, Attend and Tell: Neural Image Caption Generation with Visual Attention (2015) [6].*  </center> </font>\n",
        "\n",
        "</br>\n",
        "\n",
        "<center> Figure 3 - Show, Attend and Tell Attention Mechanism. </center>\n",
        "\n",
        "![show_attend_and_tell_attention](https://github.com/LuizPitaAlmeida/image_caption_generator/blob/master/figures/show_attend_tell_attention.png?raw=true)\n",
        "\n",
        "<font size=\"2\"> <center> *Xu et al - Show, Attend and Tell: Neural Image Caption Generation with Visual Attention (2015)  [6].*  </center> </font>\n",
        "\n",
        "Also, we proposed to add BERT transformer model to Show, Attend and Tell implementation. BERT is recent paper published by Google AI team in 2019 that, in the last year, got state-of-art results in a wide range of NLP tasks. It is designed using only attention mechanism, i.e., a Transformer module [3], and considering a bidirectional context.\n",
        "\n",
        "Transformers models are multi-head attention models formed by an attention encoder and an attention decoder. An attention encoder layer for NLP tasks does linear combinations of the input tokens embedding predicting a probability for each one of those combinations. The BERT is a Transformer encoder that does a bidirectional context combination trying to use both past and future context to predict a word [4].\n",
        "\n",
        "Bert was trained to be a language model that understand better the language context and flow. Researches notice that BERT could be distribute as a pre-trained model such as pre-trained CNNs, so common in Computer Vision area. In our approach we used BERT only to generate embedding for the LSTM language model.\n",
        "\n",
        "The modern approaches for image captioning consists of create a single model that can handle with image and text features as a multi-modal feature extractor to predict text outputs. In some case the input are only images. These novel approaches are named as Visual-Linguistics representation models. Most of them combines transformers architectures with CNN for feature extraction, classification task and object detection [7, 8, 9, 10, 11].\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_W_QSpKzhrYm",
        "colab_type": "text"
      },
      "source": [
        "## Materials and Methods\n",
        "\n",
        "---\n",
        "\n",
        "In this section we describe the materials such programming language used, environment provided, and used data."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dKq5TL2Nh1CK",
        "colab_type": "text"
      },
      "source": [
        "### Programming Language\n",
        "For this project we are using the Python 3 language with the Pytorch 1.3 library. Pytorch is an open source machine learning framework designed to accelerate research prototyping. In the last years together with TensorFlow is the most used framework for deep learning. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ePtnEanPaLfV",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "e5074b39-e09e-487c-fe73-80d90d801649"
      },
      "source": [
        "import platform, torch\n",
        "print(\"Python version: %s.\\nPyTorch version: %s.\" %\n",
        "      (platform.python_version(),torch.__version__))"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Python version: 3.6.9.\n",
            "PyTorch version: 1.5.1+cu101.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ruvXR0-LiQFT",
        "colab_type": "text"
      },
      "source": [
        "### Environment\n",
        "\n",
        "This paper only runs in a GPU environment. A CPU infere test will be made soon.\n",
        "\n",
        "In Colab it is necessary to install the absent python packages. We will install our package found at [GitHub](https://github.com/LuizPitaAlmeida/image_caption_generator), and to better organize the Pytorch code we used the [Torch Lightning](https://pytorch-lightning.readthedocs.io/en/latest/) package. Also, we used BERT implementation from [Hugging Face](https://github.com/huggingface/transformers)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CXOInMysiM_K",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 187
        },
        "outputId": "ac02ba9c-5a7b-46d1-f948-005b8a9b6618"
      },
      "source": [
        "!pip3 install --quiet transformers\n",
        "!pip3 install --quiet pytorch-lightning\n",
        "\n",
        "import sys\n",
        "sys.path.append('/content/image_caption_generator/src/models')\n",
        "sys.path.append('/content/image_caption_generator/src/utils')\n",
        "sys.path.append('/content/image_caption_generator/src/data_process')\n",
        "sys.path.append('/content/image_caption_generator/src/')"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
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            "\u001b[?25h  Building wheel for sacremoses (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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            "\u001b[?25h  Building wheel for PyYAML (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for future (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VXe4j7oS9Ka3",
        "colab_type": "text"
      },
      "source": [
        "Let's also set a torch variable with our device (GPU or CPU)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "edvAjqiT9Qb1",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9R9KJ3JivwUV",
        "colab_type": "text"
      },
      "source": [
        "Another important thing to do in order to ensure reproducibility is to set the system ramdom seeds."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X4cxBBrYv8UM",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import random\n",
        "\n",
        "seed = 0\n",
        "random.seed(seed)\n",
        "torch.random.manual_seed(seed)\n",
        "torch.cuda.manual_seed(seed)"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cRJeVXjmliet",
        "colab_type": "text"
      },
      "source": [
        "### MS COCO database\n",
        "\n",
        "The Microsoft Common Objects in Context [12] is a large and well knowing database used for benchmark many Computer Vision applications. It has a dataset for image captioning containing more than 330000 images with five different descriptions for each one. \n",
        "\n",
        "Let's download and unzip the data. The full dataset is to large so we prefer only to use in the reproducible version of the paper the validation dataset. The links to validation data  can be found in the file:\n",
        "\n",
        "[valid_download_links.txt](https://github.com/LuizPitaAlmeida/image_caption_generator/blob/master/data/valid_download_links.txt)\n",
        "\n",
        "\n",
        "- Note 1: In case of Colab lauch a disk space warning, just press ignore.\n",
        "\n",
        "- Note 2: If below comand do not recognize \"/content/image_caption_generator/data/test_download_links.txt\" directory, check if you run the cell below abstract.\n",
        "\n",
        "- Note 3: Due to an parameter error during traning this version of the executable paper most have to also download train dataset. This is necessary to generate the results. In this case we gonna to use [train_val_download_links.txt](https://github.com/LuizPitaAlmeida/image_caption_generator/blob/master/data/train_val_download_links.txt)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4EtU-Z4dlfD4",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "26d27502-c6f2-4b02-f35c-0a823c341028"
      },
      "source": [
        "!time wget -nc --progress=dot:giga -P /content \\\n",
        "    -i /content/image_caption_generator/data/train_val_download_links.txt"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2020-07-01 22:42:27--  http://images.cocodataset.org/annotations/annotations_trainval2014.zip\n",
            "Resolving images.cocodataset.org (images.cocodataset.org)... 52.216.112.75\n",
            "Connecting to images.cocodataset.org (images.cocodataset.org)|52.216.112.75|:80... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 252872794 (241M) [application/zip]\n",
            "Saving to: ‘/content/annotations_trainval2014.zip’\n",
            "\n",
            "     0K ........ ........ ........ ........ 13% 20.1M 10s\n",
            " 32768K ........ ........ ........ ........ 26% 31.0M 7s\n",
            " 65536K ........ ........ ........ ........ 39% 31.3M 6s\n",
            " 98304K ........ ........ ........ ........ 53% 33.4M 4s\n",
            "131072K ........ ........ ........ ........ 66% 31.2M 3s\n",
            "163840K ........ ........ ........ ........ 79% 31.5M 2s\n",
            "196608K ........ ........ ........ ........ 92% 31.3M 1s\n",
            "229376K ........ ........ .                100% 35.3M=8.2s\n",
            "\n",
            "2020-07-01 22:42:35 (29.6 MB/s) - ‘/content/annotations_trainval2014.zip’ saved [252872794/252872794]\n",
            "\n",
            "--2020-07-01 22:42:35--  http://images.cocodataset.org/zips/val2014.zip\n",
            "Reusing existing connection to images.cocodataset.org:80.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 6645013297 (6.2G) [application/zip]\n",
            "Saving to: ‘/content/val2014.zip’\n",
            "\n",
            "     0K ........ ........ ........ ........  0% 27.0M 3m53s\n",
            " 32768K ........ ........ ........ ........  1% 33.8M 3m29s\n",
            " 65536K ........ ........ ........ ........  1% 31.2M 3m25s\n",
            " 98304K ........ ........ ........ ........  2% 31.3M 3m23s\n",
            "131072K ........ ........ ........ ........  2% 33.7M 3m18s\n",
            "163840K ........ ........ ........ ........  3% 31.2M 3m17s\n",
            "196608K ........ ........ ........ ........  3% 31.3M 3m16s\n",
            "229376K ........ ........ ........ ........  4% 33.4M 3m13s\n",
            "262144K ........ ........ ........ ........  4% 31.4M 3m12s\n",
            "294912K ........ ........ ........ ........  5% 31.5M 3m11s\n",
            "327680K ........ ........ ........ ........  5% 31.6M 3m10s\n",
            "360448K ........ ........ ........ ........  6% 33.4M 3m8s\n",
            "393216K ........ ........ ........ ........  6% 31.1M 3m7s\n",
            "425984K ........ ........ ........ ........  7% 31.6M 3m6s\n",
            "458752K ........ ........ ........ ........  7% 33.3M 3m5s\n",
            "491520K ........ ........ ........ ........  8% 31.4M 3m4s\n",
            "524288K ........ ........ ........ ........  8% 31.6M 3m3s\n",
            "557056K ........ ........ ........ ........  9% 31.3M 3m2s\n",
            "589824K ........ ........ ........ ........  9% 33.4M 3m1s\n",
            "622592K ........ ........ ........ ........ 10% 31.5M 3m0s\n",
            "655360K ........ ........ ........ ........ 10% 31.6M 2m59s\n",
            "688128K ........ ........ ........ ........ 11% 33.4M 2m57s\n",
            "720896K ........ ........ ........ ........ 11% 31.1M 2m56s\n",
            "753664K ........ ........ ........ ........ 12% 31.7M 2m55s\n",
            "786432K ........ ........ ........ ........ 12% 31.3M 2m54s\n",
            "819200K ........ ........ ........ ........ 13% 32.8M 2m53s\n",
            "851968K ........ ........ ........ ........ 13% 31.6M 2m52s\n",
            "884736K ........ ........ ........ ........ 14% 31.5M 2m51s\n",
            "917504K ........ ........ ........ ........ 14% 33.0M 2m50s\n",
            "950272K ........ ........ ........ ........ 15% 31.7M 2m49s\n",
            "983040K ........ ........ ........ ........ 15% 31.5M 2m48s\n",
            "1015808K ........ ........ ........ ........ 16% 31.3M 2m47s\n",
            "1048576K ........ ........ ........ ........ 16% 33.1M 2m46s\n",
            "1081344K ........ ........ ........ ........ 17% 31.7M 2m45s\n",
            "1114112K ........ ........ ........ ........ 17% 31.5M 2m44s\n",
            "1146880K ........ ........ ........ ........ 18% 31.4M 2m43s\n",
            "1179648K ........ ........ ........ ........ 18% 33.4M 2m42s\n",
            "1212416K ........ ........ ........ ........ 19% 31.6M 2m41s\n",
            "1245184K ........ ........ ........ ........ 19% 31.4M 2m40s\n",
            "1277952K ........ ........ ........ ........ 20% 33.4M 2m39s\n",
            "1310720K ........ ........ ........ ........ 20% 31.3M 2m38s\n",
            "1343488K ........ ........ ........ ........ 21% 31.5M 2m37s\n",
            "1376256K ........ ........ ........ ........ 21% 33.0M 2m36s\n",
            "1409024K ........ ........ ........ ........ 22% 31.8M 2m35s\n",
            "1441792K ........ ........ ........ ........ 22% 31.5M 2m34s\n",
            "1474560K ........ ........ ........ ........ 23% 31.4M 2m33s\n",
            "1507328K ........ ........ ........ ........ 23% 33.3M 2m32s\n",
            "1540096K ........ ........ ........ ........ 24% 31.4M 2m31s\n",
            "1572864K ........ ........ ........ ........ 24% 31.6M 2m30s\n",
            "1605632K ........ ........ ........ ........ 25% 32.9M 2m29s\n",
            "1638400K ........ ........ ........ ........ 25% 31.8M 2m28s\n",
            "1671168K ........ ........ ........ ........ 26% 31.3M 2m27s\n",
            "1703936K ........ ........ ........ ........ 26% 31.6M 2m26s\n",
            "1736704K ........ ........ ........ ........ 27% 33.4M 2m25s\n",
            "1769472K ........ ........ ........ ........ 27% 31.4M 2m24s\n",
            "1802240K ........ ........ ........ ........ 28% 31.6M 2m23s\n",
            "1835008K ........ ........ ........ ........ 28% 31.2M 2m22s\n",
            "1867776K ........ ........ ........ ........ 29% 32.7M 2m21s\n",
            "1900544K ........ ........ ........ ........ 29% 31.3M 2m20s\n",
            "1933312K ........ ........ ........ ........ 30% 32.2M 2m19s\n",
            "1966080K ........ ........ ........ ........ 30% 31.3M 2m18s\n",
            "1998848K ........ ........ ........ ........ 31% 32.7M 2m17s\n",
            "2031616K ........ ........ ........ ........ 31% 31.9M 2m16s\n",
            "2064384K ........ ........ ........ ........ 32% 31.3M 2m15s\n",
            "2097152K ........ ........ ........ ........ 32% 31.6M 2m14s\n",
            "2129920K ........ ........ ........ ........ 33% 32.9M 2m13s\n",
            "2162688K ........ ........ ........ ........ 33% 31.7M 2m12s\n",
            "2195456K ........ ........ ........ ........ 34% 31.2M 2m11s\n",
            "2228224K ........ ........ ........ ........ 34% 31.5M 2m10s\n",
            "2260992K ........ ........ ........ ........ 35% 33.0M 2m9s\n",
            "2293760K ........ ........ ........ ........ 35% 31.2M 2m8s\n",
            "2326528K ........ ........ ........ ........ 36% 31.8M 2m7s\n",
            "2359296K ........ ........ ........ ........ 36% 31.2M 2m6s\n",
            "2392064K ........ ........ ........ ........ 37% 31.4M 2m5s\n",
            "2424832K ........ ........ ........ ........ 37% 33.1M 2m4s\n",
            "2457600K ........ ........ ........ ........ 38% 31.8M 2m3s\n",
            "2490368K ........ ........ ........ ........ 38% 30.5M 2m2s\n",
            "2523136K ........ ........ ........ ........ 39% 32.0M 2m1s\n",
            "2555904K ........ ........ ........ ........ 39% 31.3M 2m0s\n",
            "2588672K ........ ........ ........ ........ 40% 32.7M 1m59s\n",
            "2621440K ........ ........ ........ ........ 40% 31.6M 1m58s\n",
            "2654208K ........ ........ ........ ........ 41% 31.1M 1m57s\n",
            "2686976K ........ ........ ........ ........ 41% 31.9M 1m56s\n",
            "2719744K ........ ........ ........ ........ 42% 31.4M 1m55s\n",
            "2752512K ........ ........ ........ ........ 42% 32.6M 1m54s\n",
            "2785280K ........ ........ ........ ........ 43% 31.6M 1m53s\n",
            "2818048K ........ ........ ........ ........ 43% 32.0M 1m52s\n",
            "2850816K ........ ........ ........ ........ 44% 31.3M 1m51s\n",
            "2883584K ........ ........ ........ ........ 44% 31.3M 1m50s\n",
            "2916352K ........ ........ ........ ........ 45% 32.5M 1m49s\n",
            "2949120K ........ ........ ........ ........ 45% 32.5M 1m48s\n",
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            "3047424K ........ ........ ........ ........ 47% 32.3M 1m45s\n",
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            "3178496K ........ ........ ........ ........ 49% 32.6M 1m41s\n",
            "3211264K ........ ........ ........ ........ 49% 32.5M 1m40s\n",
            "3244032K ........ ........ ........ ........ 50% 31.3M 99s\n",
            "3276800K ........ ........ ........ ........ 51% 32.4M 98s\n",
            "3309568K ........ ........ ........ ........ 51% 31.3M 97s\n",
            "3342336K ........ ........ ........ ........ 52% 32.5M 96s\n",
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            "3407872K ........ ........ ........ ........ 53% 32.6M 94s\n",
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            "3670016K ........ ........ ........ ........ 57% 32.7M 85s\n",
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            "3735552K ........ ........ ........ ........ 58% 32.0M 83s\n",
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            "3801088K ........ ........ ........ ........ 59% 31.7M 81s\n",
            "3833856K ........ ........ ........ ........ 59% 31.9M 80s\n",
            "3866624K ........ ........ ........ ........ 60% 31.7M 79s\n",
            "3899392K ........ ........ ........ ........ 60% 32.3M 78s\n",
            "3932160K ........ ........ ........ ........ 61% 31.8M 77s\n",
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            "4096000K ........ ........ ........ ........ 63% 32.3M 72s\n",
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            "4325376K ........ ........ ........ ........ 67% 32.3M 65s\n",
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            "4521984K ........ ........ ........ ........ 70% 31.4M 59s\n",
            "4554752K ........ ........ ........ ........ 70% 32.3M 58s\n",
            "4587520K ........ ........ ........ ........ 71% 32.1M 57s\n",
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            "5373952K ........ ........ ........ ........ 83% 31.3M 33s\n",
            "5406720K ........ ........ ........ ........ 83% 31.4M 32s\n",
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            "5472256K ........ ........ ........ ........ 84% 31.8M 30s\n",
            "5505024K ........ ........ ........ ........ 85% 31.4M 29s\n",
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            "5570560K ........ ........ ........ ........ 86% 32.5M 27s\n",
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            "5799936K ........ ........ ........ ........ 89% 32.0M 20s\n",
            "5832704K ........ ........ ........ ........ 90% 32.3M 19s\n",
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            "5898240K ........ ........ ........ ........ 91% 31.5M 17s\n",
            "5931008K ........ ........ ........ ........ 91% 33.2M 16s\n",
            "5963776K ........ ........ ........ ........ 92% 31.6M 15s\n",
            "5996544K ........ ........ ........ ........ 92% 31.2M 14s\n",
            "6029312K ........ ........ ........ ........ 93% 31.4M 13s\n",
            "6062080K ........ ........ ........ ........ 93% 33.3M 12s\n",
            "6094848K ........ ........ ........ ........ 94% 31.2M 11s\n",
            "6127616K ........ ........ ........ ........ 94% 31.8M 10s\n",
            "6160384K ........ ........ ........ ........ 95% 31.4M 9s\n",
            "6193152K ........ ........ ........ ........ 95% 31.9M 8s\n",
            "6225920K ........ ........ ........ ........ 96% 33.1M 7s\n",
            "6258688K ........ ........ ........ ........ 96% 31.3M 6s\n",
            "6291456K ........ ........ ........ ........ 97% 31.6M 5s\n",
            "6324224K ........ ........ ........ ........ 97% 33.4M 4s\n",
            "6356992K ........ ........ ........ ........ 98% 30.9M 3s\n",
            "6389760K ........ ........ ........ ........ 98% 31.5M 2s\n",
            "6422528K ........ ........ ........ ........ 99% 31.7M 1s\n",
            "6455296K ........ ........ ........ ........ 99% 32.9M 0s\n",
            "6488064K .                                  100% 17.4M=3m19s\n",
            "\n",
            "2020-07-01 22:45:54 (31.9 MB/s) - ‘/content/val2014.zip’ saved [6645013297/6645013297]\n",
            "\n",
            "--2020-07-01 22:45:54--  http://images.cocodataset.org/zips/train2014.zip\n",
            "Reusing existing connection to images.cocodataset.org:80.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 13510573713 (13G) [application/zip]\n",
            "Saving to: ‘/content/train2014.zip’\n",
            "\n",
            "     0K ........ ........ ........ ........  0% 33.8M 6m20s\n",
            " 32768K ........ ........ ........ ........  0% 31.3M 6m35s\n",
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            "1245184K ........ ........ ........ ........  9% 31.3M 6m6s\n",
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            "1474560K ........ ........ ........ ........ 11% 31.6M 5m59s\n",
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            "1802240K ........ ........ ........ ........ 13% 32.6M 5m49s\n",
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            "2392064K ........ ........ ........ ........ 18% 31.8M 5m30s\n",
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            "2457600K ........ ........ ........ ........ 18% 31.4M 5m28s\n",
            "2490368K ........ ........ ........ ........ 19% 33.3M 5m27s\n",
            "2523136K ........ ........ ........ ........ 19% 32.0M 5m26s\n",
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            "2588672K ........ ........ ........ ........ 19% 33.2M 5m24s\n",
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            "2686976K ........ ........ ........ ........ 20% 31.4M 5m21s\n",
            "2719744K ........ ........ ........ ........ 20% 33.5M 5m20s\n",
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            "2883584K ........ ........ ........ ........ 22% 31.3M 5m15s\n",
            "2916352K ........ ........ ........ ........ 22% 31.3M 5m14s\n",
            "2949120K ........ ........ ........ ........ 22% 31.5M 5m13s\n",
            "2981888K ........ ........ ........ ........ 22% 33.7M 5m12s\n",
            "3014656K ........ ........ ........ ........ 23% 31.4M 5m11s\n",
            "3047424K ........ ........ ........ ........ 23% 31.0M 5m10s\n",
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            "3112960K ........ ........ ........ ........ 23% 32.7M 5m8s\n",
            "3145728K ........ ........ ........ ........ 24% 32.0M 5m7s\n",
            "3178496K ........ ........ ........ ........ 24% 31.5M 5m6s\n",
            "3211264K ........ ........ ........ ........ 24% 31.9M 5m5s\n",
            "3244032K ........ ........ ........ ........ 24% 33.0M 5m4s\n",
            "3276800K ........ ........ ........ ........ 25% 31.1M 5m3s\n",
            "3309568K ........ ........ ........ ........ 25% 32.3M 5m2s\n",
            "3342336K ........ ........ ........ ........ 25% 31.4M 5m1s\n",
            "3375104K ........ ........ ........ ........ 25% 32.8M 5m0s\n",
            "3407872K ........ ........ ........ ........ 26% 31.7M 4m59s\n",
            "3440640K ........ ........ ........ ........ 26% 31.5M 4m58s\n",
            "3473408K ........ ........ ........ ........ 26% 31.5M 4m57s\n",
            "3506176K ........ ........ ........ ........ 26% 33.1M 4m56s\n",
            "3538944K ........ ........ ........ ........ 27% 32.0M 4m55s\n",
            "3571712K ........ ........ ........ ........ 27% 31.3M 4m54s\n",
            "3604480K ........ ........ ........ ........ 27% 32.6M 4m53s\n",
            "3637248K ........ ........ ........ ........ 27% 31.9M 4m52s\n",
            "3670016K ........ ........ ........ ........ 28% 31.5M 4m51s\n",
            "3702784K ........ ........ ........ ........ 28% 31.0M 4m50s\n",
            "3735552K ........ ........ ........ ........ 28% 33.4M 4m49s\n",
            "3768320K ........ ........ ........ ........ 28% 31.7M 4m48s\n",
            "3801088K ........ ........ ........ ........ 29% 31.4M 4m47s\n",
            "3833856K ........ ........ ........ ........ 29% 33.5M 4m46s\n",
            "3866624K ........ ........ ........ ........ 29% 31.5M 4m45s\n",
            "3899392K ........ ........ ........ ........ 29% 31.4M 4m44s\n",
            "3932160K ........ ........ ........ ........ 30% 31.5M 4m43s\n",
            "3964928K ........ ........ ........ ........ 30% 33.7M 4m42s\n",
            "3997696K ........ ........ ........ ........ 30% 31.3M 4m41s\n",
            "4030464K ........ ........ ........ ........ 30% 31.4M 4m40s\n",
            "4063232K ........ ........ ........ ........ 31% 31.4M 4m39s\n",
            "4096000K ........ ........ ........ ........ 31% 33.7M 4m38s\n",
            "4128768K ........ ........ ........ ........ 31% 31.0M 4m37s\n",
            "4161536K ........ ........ ........ ........ 31% 31.7M 4m36s\n",
            "4194304K ........ ........ ........ ........ 32% 31.2M 4m35s\n",
            "4227072K ........ ........ ........ ........ 32% 33.5M 4m34s\n",
            "4259840K ........ ........ ........ ........ 32% 31.5M 4m33s\n",
            "4292608K ........ ........ ........ ........ 32% 31.4M 4m32s\n",
            "4325376K ........ ........ ........ ........ 33% 31.6M 4m31s\n",
            "4358144K ........ ........ ........ ........ 33% 31.6M 4m30s\n",
            "4390912K ........ ........ ........ ........ 33% 32.9M 4m29s\n",
            "4423680K ........ ........ ........ ........ 33% 31.5M 4m28s\n",
            "4456448K ........ ........ ........ ........ 34% 31.3M 4m27s\n",
            "4489216K ........ ........ ........ ........ 34% 30.8M 4m26s\n",
            "4521984K ........ ........ ........ ........ 34% 31.6M 4m25s\n",
            "4554752K ........ ........ ........ ........ 34% 33.4M 4m24s\n",
            "4587520K ........ ........ ........ ........ 35% 31.3M 4m23s\n",
            "4620288K ........ ........ ........ ........ 35% 31.4M 4m22s\n",
            "4653056K ........ ........ ........ ........ 35% 31.1M 4m21s\n",
            "4685824K ........ ........ ........ ........ 35% 31.5M 4m20s\n",
            "4718592K ........ ........ ........ ........ 36% 32.7M 4m19s\n",
            "4751360K ........ ........ ........ ........ 36% 31.9M 4m18s\n",
            "4784128K ........ ........ ........ ........ 36% 31.7M 4m17s\n",
            "4816896K ........ ........ ........ ........ 36% 31.3M 4m16s\n",
            "4849664K ........ ........ ........ ........ 37% 31.3M 4m15s\n",
            "4882432K ........ ........ ........ ........ 37% 33.4M 4m14s\n",
            "4915200K ........ ........ ........ ........ 37% 31.4M 4m13s\n",
            "4947968K ........ ........ ........ ........ 37% 31.7M 4m12s\n",
            "4980736K ........ ........ ........ ........ 37% 31.4M 4m11s\n",
            "5013504K ........ ........ ........ ........ 38% 33.4M 4m10s\n",
            "5046272K ........ ........ ........ ........ 38% 31.4M 4m9s\n",
            "5079040K ........ ........ ........ ........ 38% 31.6M 4m8s\n",
            "5111808K ........ ........ ........ ........ 38% 31.3M 4m7s\n",
            "5144576K ........ ........ ........ ........ 39% 33.5M 4m6s\n",
            "5177344K ........ ........ ........ ........ 39% 31.1M 4m5s\n",
            "5210112K ........ ........ ........ ........ 39% 31.5M 4m4s\n",
            "5242880K ........ ........ ........ ........ 39% 31.9M 4m3s\n",
            "5275648K ........ ........ ........ ........ 40% 32.9M 4m2s\n",
            "5308416K ........ ........ ........ ........ 40% 31.8M 4m1s\n",
            "5341184K ........ ........ ........ ........ 40% 31.3M 4m0s\n",
            "5373952K ........ ........ ........ ........ 40% 32.0M 3m59s\n",
            "5406720K ........ ........ ........ ........ 41% 32.7M 3m58s\n",
            "5439488K ........ ........ ........ ........ 41% 31.7M 3m57s\n",
            "5472256K ........ ........ ........ ........ 41% 31.2M 3m56s\n",
            "5505024K ........ ........ ........ ........ 41% 32.5M 3m55s\n",
            "5537792K ........ ........ ........ ........ 42% 32.3M 3m54s\n",
            "5570560K ........ ........ ........ ........ 42% 31.8M 3m53s\n",
            "5603328K ........ ........ ........ ........ 42% 31.6M 3m52s\n",
            "5636096K ........ ........ ........ ........ 42% 32.2M 3m51s\n",
            "5668864K ........ ........ ........ ........ 43% 32.3M 3m50s\n",
            "5701632K ........ ........ ........ ........ 43% 31.8M 3m49s\n",
            "5734400K ........ ........ ........ ........ 43% 32.1M 3m47s\n",
            "5767168K ........ ........ ........ ........ 43% 32.5M 3m46s\n",
            "5799936K ........ ........ ........ ........ 44% 32.1M 3m45s\n",
            "5832704K ........ ........ ........ ........ 44% 31.4M 3m44s\n",
            "5865472K ........ ........ ........ ........ 44% 32.0M 3m43s\n",
            "5898240K ........ ........ ........ ........ 44% 32.4M 3m42s\n",
            "5931008K ........ ........ ........ ........ 45% 31.9M 3m41s\n",
            "5963776K ........ ........ ........ ........ 45% 31.9M 3m40s\n",
            "5996544K ........ ........ ........ ........ 45% 32.3M 3m39s\n",
            "6029312K ........ ........ ........ ........ 45% 32.0M 3m38s\n",
            "6062080K ........ ........ ........ ........ 46% 31.9M 3m37s\n",
            "6094848K ........ ........ ........ ........ 46% 32.0M 3m36s\n",
            "6127616K ........ ........ ........ ........ 46% 32.3M 3m35s\n",
            "6160384K ........ ........ ........ ........ 46% 32.0M 3m34s\n",
            "6193152K ........ ........ ........ ........ 47% 31.9M 3m33s\n",
            "6225920K ........ ........ ........ ........ 47% 31.4M 3m32s\n",
            "6258688K ........ ........ ........ ........ 47% 32.8M 3m31s\n",
            "6291456K ........ ........ ........ ........ 47% 32.3M 3m30s\n",
            "6324224K ........ ........ ........ ........ 48% 31.1M 3m29s\n",
            "6356992K ........ ........ ........ ........ 48% 31.7M 3m28s\n",
            "6389760K ........ ........ ........ ........ 48% 32.9M 3m27s\n",
            "6422528K ........ ........ ........ ........ 48% 32.0M 3m26s\n",
            "6455296K ........ ........ ........ ........ 49% 31.6M 3m25s\n",
            "6488064K ........ ........ ........ ........ 49% 31.4M 3m24s\n",
            "6520832K ........ ........ ........ ........ 49% 33.7M 3m23s\n",
            "6553600K ........ ........ ........ ........ 49% 31.4M 3m22s\n",
            "6586368K ........ ........ ........ ........ 50% 31.5M 3m21s\n",
            "6619136K ........ ........ ........ ........ 50% 32.7M 3m20s\n",
            "6651904K ........ ........ ........ ........ 50% 31.8M 3m19s\n",
            "6684672K ........ ........ ........ ........ 50% 31.9M 3m18s\n",
            "6717440K ........ ........ ........ ........ 51% 31.7M 3m17s\n",
            "6750208K ........ ........ ........ ........ 51% 32.5M 3m16s\n",
            "6782976K ........ ........ ........ ........ 51% 32.5M 3m15s\n",
            "6815744K ........ ........ ........ ........ 51% 31.3M 3m14s\n",
            "6848512K ........ ........ ........ ........ 52% 31.8M 3m13s\n",
            "6881280K ........ ........ ........ ........ 52% 32.9M 3m12s\n",
            "6914048K ........ ........ ........ ........ 52% 31.6M 3m11s\n",
            "6946816K ........ ........ ........ ........ 52% 31.4M 3m10s\n",
            "6979584K ........ ........ ........ ........ 53% 31.4M 3m9s\n",
            "7012352K ........ ........ ........ ........ 53% 33.3M 3m8s\n",
            "7045120K ........ ........ ........ ........ 53% 31.4M 3m7s\n",
            "7077888K ........ ........ ........ ........ 53% 31.7M 3m6s\n",
            "7110656K ........ ........ ........ ........ 54% 31.5M 3m5s\n",
            "7143424K ........ ........ ........ ........ 54% 32.6M 3m4s\n",
            "7176192K ........ ........ ........ ........ 54% 32.0M 3m3s\n",
            "7208960K ........ ........ ........ ........ 54% 31.6M 3m2s\n",
            "7241728K ........ ........ ........ ........ 55% 31.7M 3m1s\n",
            "7274496K ........ ........ ........ ........ 55% 32.7M 3m0s\n",
            "7307264K ........ ........ ........ ........ 55% 31.9M 2m59s\n",
            "7340032K ........ ........ ........ ........ 55% 31.6M 2m58s\n",
            "7372800K ........ ........ ........ ........ 56% 32.0M 2m57s\n",
            "7405568K ........ ........ ........ ........ 56% 32.3M 2m56s\n",
            "7438336K ........ ........ ........ ........ 56% 32.0M 2m55s\n",
            "7471104K ........ ........ ........ ........ 56% 31.7M 2m54s\n",
            "7503872K ........ ........ ........ ........ 57% 32.8M 2m53s\n",
            "7536640K ........ ........ ........ ........ 57% 31.8M 2m52s\n",
            "7569408K ........ ........ ........ ........ 57% 31.8M 2m51s\n",
            "7602176K ........ ........ ........ ........ 57% 32.0M 2m50s\n",
            "7634944K ........ ........ ........ ........ 58% 32.7M 2m49s\n",
            "7667712K ........ ........ ........ ........ 58% 31.4M 2m48s\n",
            "7700480K ........ ........ ........ ........ 58% 31.9M 2m47s\n",
            "7733248K ........ ........ ........ ........ 58% 31.8M 2m46s\n",
            "7766016K ........ ........ ........ ........ 59% 32.9M 2m45s\n",
            "7798784K ........ ........ ........ ........ 59% 31.8M 2m44s\n",
            "7831552K ........ ........ ........ ........ 59% 31.9M 2m43s\n",
            "7864320K ........ ........ ........ ........ 59% 32.4M 2m42s\n",
            "7897088K ........ ........ ........ ........ 60% 31.8M 2m41s\n",
            "7929856K ........ ........ ........ ........ 60% 31.7M 2m40s\n",
            "7962624K ........ ........ ........ ........ 60% 31.9M 2m39s\n",
            "7995392K ........ ........ ........ ........ 60% 32.8M 2m38s\n",
            "8028160K ........ ........ ........ ........ 61% 31.5M 2m37s\n",
            "8060928K ........ ........ ........ ........ 61% 31.6M 2m36s\n",
            "8093696K ........ ........ ........ ........ 61% 32.0M 2m35s\n",
            "8126464K ........ ........ ........ ........ 61% 32.5M 2m34s\n",
            "8159232K ........ ........ ........ ........ 62% 31.8M 2m33s\n",
            "8192000K ........ ........ ........ ........ 62% 31.5M 2m32s\n",
            "8224768K ........ ........ ........ ........ 62% 32.1M 2m31s\n",
            "8257536K ........ ........ ........ ........ 62% 32.6M 2m30s\n",
            "8290304K ........ ........ ........ ........ 63% 31.8M 2m29s\n",
            "8323072K ........ ........ ........ ........ 63% 31.5M 2m28s\n",
            "8355840K ........ ........ ........ ........ 63% 33.2M 2m27s\n",
            "8388608K ........ ........ ........ ........ 63% 31.8M 2m26s\n",
            "8421376K ........ ........ ........ ........ 64% 31.5M 2m25s\n",
            "8454144K ........ ........ ........ ........ 64% 31.4M 2m24s\n",
            "8486912K ........ ........ ........ ........ 64% 33.7M 2m23s\n",
            "8519680K ........ ........ ........ ........ 64% 31.4M 2m22s\n",
            "8552448K ........ ........ ........ ........ 65% 31.4M 2m21s\n",
            "8585216K ........ ........ ........ ........ 65% 31.5M 2m20s\n",
            "8617984K ........ ........ ........ ........ 65% 33.7M 2m19s\n",
            "8650752K ........ ........ ........ ........ 65% 30.9M 2m18s\n",
            "8683520K ........ ........ ........ ........ 66% 31.6M 2m17s\n",
            "8716288K ........ ........ ........ ........ 66% 31.7M 2m16s\n",
            "8749056K ........ ........ ........ ........ 66% 32.0M 2m15s\n",
            "8781824K ........ ........ ........ ........ 66% 32.8M 2m14s\n",
            "8814592K ........ ........ ........ ........ 67% 31.4M 2m13s\n",
            "8847360K ........ ........ ........ ........ 67% 32.4M 2m12s\n",
            "8880128K ........ ........ ........ ........ 67% 31.4M 2m11s\n",
            "8912896K ........ ........ ........ ........ 67% 32.8M 2m10s\n",
            "8945664K ........ ........ ........ ........ 68% 31.4M 2m9s\n",
            "8978432K ........ ........ ........ ........ 68% 32.4M 2m8s\n",
            "9011200K ........ ........ ........ ........ 68% 32.7M 2m7s\n",
            "9043968K ........ ........ ........ ........ 68% 31.4M 2m6s\n",
            "9076736K ........ ........ ........ ........ 69% 32.5M 2m5s\n",
            "9109504K ........ ........ ........ ........ 69% 31.3M 2m4s\n",
            "9142272K ........ ........ ........ ........ 69% 32.8M 2m3s\n",
            "9175040K ........ ........ ........ ........ 69% 31.3M 2m2s\n",
            "9207808K ........ ........ ........ ........ 70% 31.7M 2m1s\n",
            "9240576K ........ ........ ........ ........ 70% 32.0M 2m0s\n",
            "9273344K ........ ........ ........ ........ 70% 33.0M 1m59s\n",
            "9306112K ........ ........ ........ ........ 70% 31.5M 1m58s\n",
            "9338880K ........ ........ ........ ........ 71% 31.5M 1m57s\n",
            "9371648K ........ ........ ........ ........ 71% 31.9M 1m56s\n",
            "9404416K ........ ........ ........ ........ 71% 32.9M 1m55s\n",
            "9437184K ........ ........ ........ ........ 71% 31.8M 1m54s\n",
            "9469952K ........ ........ ........ ........ 72% 31.8M 1m53s\n",
            "9502720K ........ ........ ........ ........ 72% 31.4M 1m52s\n",
            "9535488K ........ ........ ........ ........ 72% 32.9M 1m51s\n",
            "9568256K ........ ........ ........ ........ 72% 31.8M 1m50s\n",
            "9601024K ........ ........ ........ ........ 73% 31.7M 1m49s\n",
            "9633792K ........ ........ ........ ........ 73% 31.3M 1m48s\n",
            "9666560K ........ ........ ........ ........ 73% 33.2M 1m47s\n",
            "9699328K ........ ........ ........ ........ 73% 31.3M 1m46s\n",
            "9732096K ........ ........ ........ ........ 74% 31.7M 1m45s\n",
            "9764864K ........ ........ ........ ........ 74% 31.7M 1m44s\n",
            "9797632K ........ ........ ........ ........ 74% 33.0M 1m43s\n",
            "9830400K ........ ........ ........ ........ 74% 31.4M 1m42s\n",
            "9863168K ........ ........ ........ ........ 75% 32.0M 1m41s\n",
            "9895936K ........ ........ ........ ........ 75% 31.5M 1m40s\n",
            "9928704K ........ ........ ........ ........ 75% 33.1M 99s\n",
            "9961472K ........ ........ ........ ........ 75% 31.6M 98s\n",
            "9994240K ........ ........ ........ ........ 75% 31.8M 97s\n",
            "10027008K ........ ........ ........ ........ 76% 32.6M 96s\n",
            "10059776K ........ ........ ........ ........ 76% 32.1M 95s\n",
            "10092544K ........ ........ ........ ........ 76% 31.9M 94s\n",
            "10125312K ........ ........ ........ ........ 76% 31.3M 93s\n",
            "10158080K ........ ........ ........ ........ 77% 32.6M 92s\n",
            "10190848K ........ ........ ........ ........ 77% 32.2M 91s\n",
            "10223616K ........ ........ ........ ........ 77% 31.3M 90s\n",
            "10256384K ........ ........ ........ ........ 77% 33.2M 89s\n",
            "10289152K ........ ........ ........ ........ 78% 31.4M 88s\n",
            "10321920K ........ ........ ........ ........ 78% 32.0M 87s\n",
            "10354688K ........ ........ ........ ........ 78% 31.6M 86s\n",
            "10387456K ........ ........ ........ ........ 78% 32.9M 85s\n",
            "10420224K ........ ........ ........ ........ 79% 32.2M 84s\n",
            "10452992K ........ ........ ........ ........ 79% 31.2M 83s\n",
            "10485760K ........ ........ ........ ........ 79% 31.6M 82s\n",
            "10518528K ........ ........ ........ ........ 79% 32.8M 81s\n",
            "10551296K ........ ........ ........ ........ 80% 32.2M 80s\n",
            "10584064K ........ ........ ........ ........ 80% 31.6M 79s\n",
            "10616832K ........ ........ ........ ........ 80% 32.6M 78s\n",
            "10649600K ........ ........ ........ ........ 80% 31.7M 77s\n",
            "10682368K ........ ........ ........ ........ 81% 32.2M 76s\n",
            "10715136K ........ ........ ........ ........ 81% 31.6M 75s\n",
            "10747904K ........ ........ ........ ........ 81% 32.8M 74s\n",
            "10780672K ........ ........ ........ ........ 81% 32.3M 73s\n",
            "10813440K ........ ........ ........ ........ 82% 31.4M 72s\n",
            "10846208K ........ ........ ........ ........ 82% 31.4M 71s\n",
            "10878976K ........ ........ ........ ........ 82% 32.8M 70s\n",
            "10911744K ........ ........ ........ ........ 82% 32.5M 69s\n",
            "10944512K ........ ........ ........ ........ 83% 31.4M 68s\n",
            "10977280K ........ ........ ........ ........ 83% 32.4M 67s\n",
            "11010048K ........ ........ ........ ........ 83% 31.5M 66s\n",
            "11042816K ........ ........ ........ ........ 83% 32.4M 65s\n",
            "11075584K ........ ........ ........ ........ 84% 31.4M 64s\n",
            "11108352K ........ ........ ........ ........ 84% 32.7M 63s\n",
            "11141120K ........ ........ ........ ........ 84% 31.4M 62s\n",
            "11173888K ........ ........ ........ ........ 84% 32.0M 61s\n",
            "11206656K ........ ........ ........ ........ 85% 31.4M 60s\n",
            "11239424K ........ ........ ........ ........ 85% 33.2M 59s\n",
            "11272192K ........ ........ ........ ........ 85% 31.7M 58s\n",
            "11304960K ........ ........ ........ ........ 85% 31.3M 57s\n",
            "11337728K ........ ........ ........ ........ 86% 31.6M 56s\n",
            "11370496K ........ ........ ........ ........ 86% 33.0M 55s\n",
            "11403264K ........ ........ ........ ........ 86% 31.4M 54s\n",
            "11436032K ........ ........ ........ ........ 86% 31.8M 53s\n",
            "11468800K ........ ........ ........ ........ 87% 31.6M 52s\n",
            "11501568K ........ ........ ........ ........ 87% 32.8M 51s\n",
            "11534336K ........ ........ ........ ........ 87% 32.0M 50s\n",
            "11567104K ........ ........ ........ ........ 87% 31.4M 49s\n",
            "11599872K ........ ........ ........ ........ 88% 32.9M 48s\n",
            "11632640K ........ ........ ........ ........ 88% 31.7M 47s\n",
            "11665408K ........ ........ ........ ........ 88% 31.5M 46s\n",
            "11698176K ........ ........ ........ ........ 88% 33.1M 45s\n",
            "11730944K ........ ........ ........ ........ 89% 31.7M 44s\n",
            "11763712K ........ ........ ........ ........ 89% 31.6M 43s\n",
            "11796480K ........ ........ ........ ........ 89% 31.7M 42s\n",
            "11829248K ........ ........ ........ ........ 89% 32.5M 41s\n",
            "11862016K ........ ........ ........ ........ 90% 31.5M 40s\n",
            "11894784K ........ ........ ........ ........ 90% 32.1M 39s\n",
            "11927552K ........ ........ ........ ........ 90% 31.8M 38s\n",
            "11960320K ........ ........ ........ ........ 90% 32.1M 37s\n",
            "11993088K ........ ........ ........ ........ 91% 31.9M 36s\n",
            "12025856K ........ ........ ........ ........ 91% 32.4M 35s\n",
            "12058624K ........ ........ ........ ........ 91% 32.0M 34s\n",
            "12091392K ........ ........ ........ ........ 91% 32.1M 33s\n",
            "12124160K ........ ........ ........ ........ 92% 32.4M 32s\n",
            "12156928K ........ ........ ........ ........ 92% 32.0M 31s\n",
            "12189696K ........ ........ ........ ........ 92% 31.4M 30s\n",
            "12222464K ........ ........ ........ ........ 92% 32.9M 29s\n",
            "12255232K ........ ........ ........ ........ 93% 31.7M 28s\n",
            "12288000K ........ ........ ........ ........ 93% 32.0M 27s\n",
            "12320768K ........ ........ ........ ........ 93% 31.4M 26s\n",
            "12353536K ........ ........ ........ ........ 93% 32.9M 25s\n",
            "12386304K ........ ........ ........ ........ 94% 31.8M 24s\n",
            "12419072K ........ ........ ........ ........ 94% 31.5M 23s\n",
            "12451840K ........ ........ ........ ........ 94% 32.6M 22s\n",
            "12484608K ........ ........ ........ ........ 94% 32.3M 21s\n",
            "12517376K ........ ........ ........ ........ 95% 31.6M 20s\n",
            "12550144K ........ ........ ........ ........ 95% 32.7M 19s\n",
            "12582912K ........ ........ ........ ........ 95% 32.3M 18s\n",
            "12615680K ........ ........ ........ ........ 95% 31.5M 17s\n",
            "12648448K ........ ........ ........ ........ 96% 31.4M 16s\n",
            "12681216K ........ ........ ........ ........ 96% 32.7M 15s\n",
            "12713984K ........ ........ ........ ........ 96% 32.4M 14s\n",
            "12746752K ........ ........ ........ ........ 96% 31.2M 13s\n",
            "12779520K ........ ........ ........ ........ 97% 31.3M 12s\n",
            "12812288K ........ ........ ........ ........ 97% 31.0M 11s\n",
            "12845056K ........ ........ ........ ........ 97% 31.4M 10s\n",
            "12877824K ........ ........ ........ ........ 97% 31.4M 9s\n",
            "12910592K ........ ........ ........ ........ 98% 33.9M 8s\n",
            "12943360K ........ ........ ........ ........ 98% 31.4M 7s\n",
            "12976128K ........ ........ ........ ........ 98% 31.3M 6s\n",
            "13008896K ........ ........ ........ ........ 98% 31.3M 5s\n",
            "13041664K ........ ........ ........ ........ 99% 33.5M 4s\n",
            "13074432K ........ ........ ........ ........ 99% 31.2M 3s\n",
            "13107200K ........ ........ ........ ........ 99% 31.6M 2s\n",
            "13139968K ........ ........ ........ ........ 99% 31.3M 1s\n",
            "13172736K ........ ........ ....             100% 31.5M=6m43s\n",
            "\n",
            "2020-07-01 22:52:38 (31.9 MB/s) - ‘/content/train2014.zip’ saved [13510573713/13510573713]\n",
            "\n",
            "FINISHED --2020-07-01 22:52:38--\n",
            "Total wall clock time: 10m 11s\n",
            "Downloaded: 3 files, 19G in 10m 10s (31.9 MB/s)\n",
            "\n",
            "real\t10m10.991s\n",
            "user\t0m3.643s\n",
            "sys\t0m57.052s\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-ty0K8pJm442",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 221
        },
        "outputId": "a482af06-6488-4cbe-b062-3c32120b9cc6"
      },
      "source": [
        "!time unzip -n -qq '/content/annotations_trainval2014.zip'\n",
        "!rm '/content/annotations_trainval2014.zip'\n",
        "!time unzip -n -qq '/content/val2014.zip'\n",
        "!rm '/content/val2014.zip'\n",
        "!time unzip -n -qq '/content/train2014.zip'\n",
        "!rm '/content/train2014.zip'"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\n",
            "real\t0m8.232s\n",
            "user\t0m6.623s\n",
            "sys\t0m0.642s\n",
            "\n",
            "real\t3m9.126s\n",
            "user\t0m34.024s\n",
            "sys\t0m8.930s\n",
            "\n",
            "real\t6m23.729s\n",
            "user\t1m8.576s\n",
            "sys\t0m18.063s\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "t_ccxFmRoHV1",
        "colab_type": "text"
      },
      "source": [
        "Colab will keep this data for some hours, so after the first correct execution, it is not necessary to re-run the above two cells.\n",
        "\n",
        "We used the COCO Captions challenger split of data. Since annotation of test dataset is not available, we will show our results over the validation dataset. The validation dataset is composed of 40504 images with five captions for each one. Fig.4 shows a data sample example."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GMJlK1eHnni_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 554
        },
        "outputId": "9abd396f-f8f3-432d-fee6-f445f1121aa0"
      },
      "source": [
        "%time\n",
        "from show_dataset import dataset_sample_example\n",
        "\n",
        "print('\\nFigure 4 - Coco Caption Dataset Sample.\\n')\n",
        "\n",
        "dataset_sample_example(\n",
        "    images_path='/content/val2014',\n",
        "    annotation_json='/content/annotations/captions_val2014.json'\n",
        ")"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "CPU times: user 2 µs, sys: 0 ns, total: 2 µs\n",
            "Wall time: 5.48 µs\n",
            "\n",
            "Figure 4 - Coco Caption Dataset Sample.\n",
            "\n",
            "loading annotations into memory...\n",
            "Done (t=1.26s)\n",
            "creating index...\n",
            "index created!\n",
            "\n",
            "Number of samples:  40504\n",
            "\n",
            "References:\n",
            "A snowboarder in mid-air on a yellow board\n",
            "A snowboarder in the air on a Burton snowboard.\n",
            "A person in a red, black and blue coat riding a yellow \"Burton\" snow board in the snow. \n",
            "The snowboarder is jumping through the snow on a yellow board.\n",
            "A person doing a trick in the air while snowboarding .\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rO6fQTTow39l",
        "colab_type": "text"
      },
      "source": [
        "The above image is a demonstration of the dataset. In other to use the dataset in our model we need to pre-process our images, generate a vocabulary of the words, tokenize this words, add special tokens (\"<start>\" and \"<end>\" tokens), and generate minibatches. In Torch these minibatches are generated by dataloader class. In this paper we used a 9956 words vocab and a batch size of 64. Also we limited training batches number and validation batches number due to problems with full memory."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MQhXCHdFpNeB",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "760277be-29d9-4f8d-ad88-1e473a0aa876"
      },
      "source": [
        "from build_vocab import build_vocab\n",
        "from image_tranform import transform_function\n",
        "from data_loader import get_loader\n",
        "\n",
        "vocab = build_vocab('/content/annotations/captions_train2014.json', 4)"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "loading annotations into memory...\n",
            "Done (t=2.30s)\n",
            "creating index...\n",
            "index created!\n",
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Unzipping tokenizers/punkt.zip.\n",
            "[1000/414113] Tokenized the captions.\n",
            "[2000/414113] Tokenized the captions.\n",
            "[3000/414113] Tokenized the captions.\n",
            "[4000/414113] Tokenized the captions.\n",
            "[5000/414113] Tokenized the captions.\n",
            "[6000/414113] Tokenized the captions.\n",
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            "[8000/414113] Tokenized the captions.\n",
            "[9000/414113] Tokenized the captions.\n",
            "[10000/414113] Tokenized the captions.\n",
            "[11000/414113] Tokenized the captions.\n",
            "[12000/414113] Tokenized the captions.\n",
            "[13000/414113] Tokenized the captions.\n",
            "[14000/414113] Tokenized the captions.\n",
            "[15000/414113] Tokenized the captions.\n",
            "[16000/414113] Tokenized the captions.\n",
            "[17000/414113] Tokenized the captions.\n",
            "[18000/414113] Tokenized the captions.\n",
            "[19000/414113] Tokenized the captions.\n",
            "[20000/414113] Tokenized the captions.\n",
            "[21000/414113] Tokenized the captions.\n",
            "[22000/414113] Tokenized the captions.\n",
            "[23000/414113] Tokenized the captions.\n",
            "[24000/414113] Tokenized the captions.\n",
            "[25000/414113] Tokenized the captions.\n",
            "[26000/414113] Tokenized the captions.\n",
            "[27000/414113] Tokenized the captions.\n",
            "[28000/414113] Tokenized the captions.\n",
            "[29000/414113] Tokenized the captions.\n",
            "[30000/414113] Tokenized the captions.\n",
            "[31000/414113] Tokenized the captions.\n",
            "[32000/414113] Tokenized the captions.\n",
            "[33000/414113] Tokenized the captions.\n",
            "[34000/414113] Tokenized the captions.\n",
            "[35000/414113] Tokenized the captions.\n",
            "[36000/414113] Tokenized the captions.\n",
            "[37000/414113] Tokenized the captions.\n",
            "[38000/414113] Tokenized the captions.\n",
            "[39000/414113] Tokenized the captions.\n",
            "[40000/414113] Tokenized the captions.\n",
            "[41000/414113] Tokenized the captions.\n",
            "[42000/414113] Tokenized the captions.\n",
            "[43000/414113] Tokenized the captions.\n",
            "[44000/414113] Tokenized the captions.\n",
            "[45000/414113] Tokenized the captions.\n",
            "[46000/414113] Tokenized the captions.\n",
            "[47000/414113] Tokenized the captions.\n",
            "[48000/414113] Tokenized the captions.\n",
            "[49000/414113] Tokenized the captions.\n",
            "[50000/414113] Tokenized the captions.\n",
            "[51000/414113] Tokenized the captions.\n",
            "[52000/414113] Tokenized the captions.\n",
            "[53000/414113] Tokenized the captions.\n",
            "[54000/414113] Tokenized the captions.\n",
            "[55000/414113] Tokenized the captions.\n",
            "[56000/414113] Tokenized the captions.\n",
            "[57000/414113] Tokenized the captions.\n",
            "[58000/414113] Tokenized the captions.\n",
            "[59000/414113] Tokenized the captions.\n",
            "[60000/414113] Tokenized the captions.\n",
            "[61000/414113] Tokenized the captions.\n",
            "[62000/414113] Tokenized the captions.\n",
            "[63000/414113] Tokenized the captions.\n",
            "[64000/414113] Tokenized the captions.\n",
            "[65000/414113] Tokenized the captions.\n",
            "[66000/414113] Tokenized the captions.\n",
            "[67000/414113] Tokenized the captions.\n",
            "[68000/414113] Tokenized the captions.\n",
            "[69000/414113] Tokenized the captions.\n",
            "[70000/414113] Tokenized the captions.\n",
            "[71000/414113] Tokenized the captions.\n",
            "[72000/414113] Tokenized the captions.\n",
            "[73000/414113] Tokenized the captions.\n",
            "[74000/414113] Tokenized the captions.\n",
            "[75000/414113] Tokenized the captions.\n",
            "[76000/414113] Tokenized the captions.\n",
            "[77000/414113] Tokenized the captions.\n",
            "[78000/414113] Tokenized the captions.\n",
            "[79000/414113] Tokenized the captions.\n",
            "[80000/414113] Tokenized the captions.\n",
            "[81000/414113] Tokenized the captions.\n",
            "[82000/414113] Tokenized the captions.\n",
            "[83000/414113] Tokenized the captions.\n",
            "[84000/414113] Tokenized the captions.\n",
            "[85000/414113] Tokenized the captions.\n",
            "[86000/414113] Tokenized the captions.\n",
            "[87000/414113] Tokenized the captions.\n",
            "[88000/414113] Tokenized the captions.\n",
            "[89000/414113] Tokenized the captions.\n",
            "[90000/414113] Tokenized the captions.\n",
            "[91000/414113] Tokenized the captions.\n",
            "[92000/414113] Tokenized the captions.\n",
            "[93000/414113] Tokenized the captions.\n",
            "[94000/414113] Tokenized the captions.\n",
            "[95000/414113] Tokenized the captions.\n",
            "[96000/414113] Tokenized the captions.\n",
            "[97000/414113] Tokenized the captions.\n",
            "[98000/414113] Tokenized the captions.\n",
            "[99000/414113] Tokenized the captions.\n",
            "[100000/414113] Tokenized the captions.\n",
            "[101000/414113] Tokenized the captions.\n",
            "[102000/414113] Tokenized the captions.\n",
            "[103000/414113] Tokenized the captions.\n",
            "[104000/414113] Tokenized the captions.\n",
            "[105000/414113] Tokenized the captions.\n",
            "[106000/414113] Tokenized the captions.\n",
            "[107000/414113] Tokenized the captions.\n",
            "[108000/414113] Tokenized the captions.\n",
            "[109000/414113] Tokenized the captions.\n",
            "[110000/414113] Tokenized the captions.\n",
            "[111000/414113] Tokenized the captions.\n",
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            "[113000/414113] Tokenized the captions.\n",
            "[114000/414113] Tokenized the captions.\n",
            "[115000/414113] Tokenized the captions.\n",
            "[116000/414113] Tokenized the captions.\n",
            "[117000/414113] Tokenized the captions.\n",
            "[118000/414113] Tokenized the captions.\n",
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            "[120000/414113] Tokenized the captions.\n",
            "[121000/414113] Tokenized the captions.\n",
            "[122000/414113] Tokenized the captions.\n",
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            "[125000/414113] Tokenized the captions.\n",
            "[126000/414113] Tokenized the captions.\n",
            "[127000/414113] Tokenized the captions.\n",
            "[128000/414113] Tokenized the captions.\n",
            "[129000/414113] Tokenized the captions.\n",
            "[130000/414113] Tokenized the captions.\n",
            "[131000/414113] Tokenized the captions.\n",
            "[132000/414113] Tokenized the captions.\n",
            "[133000/414113] Tokenized the captions.\n",
            "[134000/414113] Tokenized the captions.\n",
            "[135000/414113] Tokenized the captions.\n",
            "[136000/414113] Tokenized the captions.\n",
            "[137000/414113] Tokenized the captions.\n",
            "[138000/414113] Tokenized the captions.\n",
            "[139000/414113] Tokenized the captions.\n",
            "[140000/414113] Tokenized the captions.\n",
            "[141000/414113] Tokenized the captions.\n",
            "[142000/414113] Tokenized the captions.\n",
            "[143000/414113] Tokenized the captions.\n",
            "[144000/414113] Tokenized the captions.\n",
            "[145000/414113] Tokenized the captions.\n",
            "[146000/414113] Tokenized the captions.\n",
            "[147000/414113] Tokenized the captions.\n",
            "[148000/414113] Tokenized the captions.\n",
            "[149000/414113] Tokenized the captions.\n",
            "[150000/414113] Tokenized the captions.\n",
            "[151000/414113] Tokenized the captions.\n",
            "[152000/414113] Tokenized the captions.\n",
            "[153000/414113] Tokenized the captions.\n",
            "[154000/414113] Tokenized the captions.\n",
            "[155000/414113] Tokenized the captions.\n",
            "[156000/414113] Tokenized the captions.\n",
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          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Wb1FdlGmlMMC",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        },
        "outputId": "7eb97860-b1f8-46cb-f328-21a6e0a9c41d"
      },
      "source": [
        "train_data = get_loader(\n",
        "    root='train2014',\n",
        "    json='annotations/captions_train2014.json',\n",
        "    vocab=vocab,\n",
        "    transform=transform_function(),\n",
        "    batch_size=64,\n",
        "    shuffle=True,\n",
        "    num_workers=2\n",
        ")\n",
        "\n",
        "data = get_loader(\n",
        "    root='val2014',\n",
        "    json='annotations/captions_val2014.json',\n",
        "    vocab=vocab,\n",
        "    transform=transform_function(),\n",
        "    batch_size=64,\n",
        "    shuffle=False,\n",
        "    num_workers=2\n",
        ")"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "loading annotations into memory...\n",
            "Done (t=0.56s)\n",
            "creating index...\n",
            "index created!\n",
            "loading annotations into memory...\n",
            "Done (t=0.31s)\n",
            "creating index...\n",
            "index created!\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TR15AT0T1aJ4",
        "colab_type": "text"
      },
      "source": [
        "## Proposed Model\n",
        "---\n",
        "In this section we present our encoder-decoder model. The encoder is formed by the feature extraction of ResNet-101, while the decoder used the BERT to generate contextualized word vectors that are after detokenized and predicted captions are formed. These captions uses BERT embedding and images features together due to the attention mechanism module. This module is based in [Abdulrahman Jamjoom](<https://github.com/ajamjoom/Image-Captions>), [Yunjey Choi](<https://github.com/yunjey/pytorch-tutorial>), and [Sagar Vinodababu](<https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning>) implementations. Fig. 5 shows an summarizing schema of our model.\n",
        "\n",
        "<center> Figure 5 - Proposed Encoder-Decoder Model. </center>\n",
        "\n",
        "![show_and_tell_model](https://raw.githubusercontent.com/LuizPitaAlmeida/image_caption_generator/bf10721241fc4b9a6417444572c2730f15077016/figures/implemented_model.svg)\n",
        "\n",
        "In next subsections we will discuss about the two parts of the model: encoder and decoder.\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yFReBicP58Hm",
        "colab_type": "text"
      },
      "source": [
        "### Encoder: CNN Feature Extractor\n",
        "\n",
        "We decided to use a common used CNN for image feature extraction, so we chosen the ResNet-101. This CNN receives as input a batch of images with dimension [3, 244, 244]. The first dimension is the number of channels in image, while the second and third ones are the number of rows and cols respectively. To only do a feature extraction, not a classification, we removed from ResNet101 its two final layers (classification layers). Also, we add at the end of the network an adaptative average pooling layer to make possible to chose the output image size. Since by default we chosen to use a output image size of 14x14, the average pooling does an upper-sampling over image size (ResNet101 last convolutional layer is 7x7). So the encoder output will have the shape [batch\\_size, 14, 14, 2048] where 2048 is the embedding size of the last layer.\n",
        "\n",
        "Let's import and print output shape of our encoder.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BsODYwJDyHBO",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 137,
          "referenced_widgets": [
            "15548b2e955a4bd79755ec6077ca7cee",
            "a6059d5b447d4f0daba8a9104f552d44",
            "edcf5f718acf4f4980a5a29af54c419e",
            "ece509d9ff3e417d8ad39e6fe6d58a00",
            "f6c2cb09e56141d091dc320761d98e1a",
            "a163a9c6ef154ff0b2d13b49be758cd2",
            "e5d5d0ac99474e138e9024fb313002fc",
            "9bd4dfbf9cd142209dc613af90ca8908"
          ]
        },
        "outputId": "6ec1e2fe-6ce9-421c-84f9-a18a42e38eb5"
      },
      "source": [
        "from encoder import Encoder\n",
        "\n",
        "single_batch = next(iter(data))\n",
        "images = single_batch[0].to(device)\n",
        "\n",
        "encoder = Encoder()\n",
        "encoder.to(device)\n",
        "encoder_out = encoder(images)\n",
        "\n",
        "print('Input Image Shape [batch_size, channels, rows, cols] =', images.shape)\n",
        "print('Output Shape [batch_size, rows, cols, emb_dim] =', encoder_out.shape)"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading: \"https://download.pytorch.org/models/resnet101-5d3b4d8f.pth\" to /root/.cache/torch/checkpoints/resnet101-5d3b4d8f.pth\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "15548b2e955a4bd79755ec6077ca7cee",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=178728960.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Input Image Shape [batch_size, channels, rows, cols] = torch.Size([64, 3, 224, 224])\n",
            "Output Shape [batch_size, rows, cols, emb_dim] = torch.Size([64, 14, 14, 2048])\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VmmrryigBCkB",
        "colab_type": "text"
      },
      "source": [
        "### Decoder: Association between Bert, LSTM, and Soft Attention\n",
        "\n",
        "The decoder is formed by a LSTM layer to do captions predictions. The LSTM layer is feed by some image features and a set of word embedding provided by a BERT model acting over train dataset captions. Each predicted word feed a Soft Attention layers that applies weights for each pixel in image, saying to the model where to look. This weighted image embedding is the above-mentioned image feature that is inputted back into LSTM for next word prediction.\n",
        "\n",
        "Notice that in our model both image and text pass by an attention mechanism process. The word deep representations are obtained from Bert while images deep representations are obtained from the encoder associated with an attention mechanism.\n",
        "\n",
        "Decoder input is composed of the encoder output, the tokenized captions, and a list with the original length of each caption. We started generating word representations using Bert. For this, first we fix the captions' size using the length of the largest caption and padding the others until they have the same size as the largest. Then this captions are detokenized only to be tokenized by Bert tokenizer. This new tokens feed Bert model generating a embedding tensor. This tensor is transformed into a list with same size of the caption tokens, each element of this list is a portion of Bert embedding correspondent to each token of caption. The word embedding tensor is generated from this list.\n",
        "\n",
        "After this, the second step is initialize LSTM layer, hidden states and cells with the mean value of encoder embedding. With this initial value, we can do the first pass over attention layer. The attention layer receives the encoder output and the hidden states of LSTM, and returns the alpha values, kind of probability or weight for each pixel in image, and the encoder output product with these alpha values. This product is concatenated with the Bert embedding feeding back the LSTM, that will update your hidden layers. This new hidden layers go to the attention mechanism, keeping this circle until the end of the caption. The complete output of LSTM pass throw a linear classification model, that predict the most probably words in the vocab to form the final caption. The decoder output is composed of the new captions predictions, the lists of captions tokens id in original tokenization, a list of length of each predicted caption and the alphas values used in image attention.\n",
        "\n",
        "Let's start a decoder prediction for a single sample."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ajPPH_eb-sZb",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283,
          "referenced_widgets": [
            "e39b2c5eac274b7c8ec80658c38e5c57",
            "3115c317fcda455db9a64282e880be1a",
            "f2d14d2f0457447fab69a7caf847a072",
            "666c4eb9ac90445292017f0b72bd18b3",
            "dc35b9f618704dd8906a14a37b5d650f",
            "fe775e46294c40d2b4f4a2af3fe852eb",
            "47ea0ba4d51a46b4a38abf023e1829bf",
            "dc40b89447cd4c4cbd2529715d5eddc9",
            "88ae19d3c82849539f607e27cd1210d3",
            "424b93ebc5824708a15d890cc75b7faa",
            "73de74141ca24cf5b5fa6b2b0f000220",
            "34f0c52a813f473183a386182779d1f4",
            "a278d07249664a3d8d961a1e07204c63",
            "2595d0deb2c141e790115af092354b81",
            "9bfa1abcd02e459f8e159f9296cddf7f",
            "dc3ff37434f240268d6c8b61025636ee",
            "1ec4134e9ee241bfaf95153ed709f80a",
            "1f1ad68d912f4c9a9b62a1b61a84dfbb",
            "86568f916de0433aa955ff1f9c1d0b47",
            "c2e8b555bb9e47af932de5901b409dd9",
            "425215c203074bd0bcd2afc552fffaba",
            "e4e08439fa684d02ae29fa99f3a10645",
            "d9a279ee232646da96c8f3eb55f5c755",
            "3e382cf92f8e422db10a8a119026eedd"
          ]
        },
        "outputId": "ee2482de-aa0b-42ad-ec8f-c76d3991bb22"
      },
      "source": [
        "from decoder import Decoder\n",
        "\n",
        "single_batch = next(iter(data))\n",
        "caption_tokens = single_batch[1].to(device)\n",
        "caption_lengths = single_batch[2]\n",
        "\n",
        "decoder = Decoder(vocab=vocab, device=device)\n",
        "decoder.to(device)\n",
        "decoder_out = decoder(encoder_out, caption_tokens, caption_lengths)\n",
        "\n",
        "print('Input Encoder Shape [batch_size, cols, rows, emb_dim] =',\n",
        "      encoder_out.shape)\n",
        "print('Input Captions Shape [batch_size, max_len_limit] =',\n",
        "      caption_tokens.shape)\n",
        "print('Input Caption length [batch_size] =', len(caption_lengths))\n",
        "\n",
        "predictions, captions_id, decoded_lengths, alphas = decoder_out \n",
        "print('Output Predictions Shape [batch_size, max_len_limit, vocab_size] =',\n",
        "      predictions.shape)\n",
        "print('Output Captions id Shape [batch_size, max_len_limit+[CLS]] =',\n",
        "      captions_id.shape)\n",
        "print('Output Decoded lengths length [batch_size] =', len(decoded_lengths))\n",
        "print('Output Alphas Shape [batch_size, max_len_limit, rows*cols] =',\n",
        "      alphas.shape)"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "e39b2c5eac274b7c8ec80658c38e5c57",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=231508.0, style=ProgressStyle(descripti…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "88ae19d3c82849539f607e27cd1210d3",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=433.0, style=ProgressStyle(description_…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "1ec4134e9ee241bfaf95153ed709f80a",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=440473133.0, style=ProgressStyle(descri…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Input Encoder Shape [batch_size, cols, rows, emb_dim] = torch.Size([64, 14, 14, 2048])\n",
            "Input Captions Shape [batch_size, max_len_limit] = torch.Size([64, 20])\n",
            "Input Caption length [batch_size] = 64\n",
            "Output Predictions Shape [batch_size, max_len_limit, vocab_size] = torch.Size([64, 19, 9956])\n",
            "Output Captions id Shape [batch_size, max_len_limit+[CLS]] = torch.Size([64, 20])\n",
            "Output Decoded lengths length [batch_size] = 64\n",
            "Output Alphas Shape [batch_size, max_len_limit, rows*cols] = torch.Size([64, 19, 196])\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "L-HZO2glXjdg",
        "colab_type": "text"
      },
      "source": [
        "## Results\n",
        "---\n",
        "In the output of encoder we had a set of score predictions, one for each word in vocabulary. To compute a readable output of these predictions it is necessary to pass these predictions in a softmax layer and get the words ids with highest probability to form a new caption.\n",
        "\n",
        "Also we evaluate our results using BLEU metric. This is a common metric used in machine translation problems, that compares a sentence generated by a machine (hypotheses) with humans annotations for that sentence (references). The BLEU metric is the metric used for the COCO Captions Challenger where we got our database. Also this metric has some weighting variations that consider the appearance of different n-grams in common with the reference (BLEU-1, BLEU-2, BLEU-3, and BLEU-4)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9HEx39RnutbL",
        "colab_type": "text"
      },
      "source": [
        "Download trained model from FigShare.\n",
        "\n",
        "Figshare File: [link](<https://ndownloader.figshare.com/files/23582399>)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ePnBH6nXfQUq",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 700
        },
        "outputId": "10f1a611-7f6d-4d66-83ae-62fc82459d06"
      },
      "source": [
        "!wget -nc --progress=dot:giga 'https://ndownloader.figshare.com/files/23582399' \\\n",
        "    -O '/content/image_caption_check.ckpt'"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2020-07-01 23:04:09--  https://ndownloader.figshare.com/files/23582399\n",
            "Resolving ndownloader.figshare.com (ndownloader.figshare.com)... 34.246.9.175, 34.255.47.165, 52.212.14.112, ...\n",
            "Connecting to ndownloader.figshare.com (ndownloader.figshare.com)|34.246.9.175|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://s3-eu-west-1.amazonaws.com/pfigshare-u-files/23582399/image_caption_check.ckpt [following]\n",
            "--2020-07-01 23:04:09--  https://s3-eu-west-1.amazonaws.com/pfigshare-u-files/23582399/image_caption_check.ckpt\n",
            "Resolving s3-eu-west-1.amazonaws.com (s3-eu-west-1.amazonaws.com)... 52.218.100.115\n",
            "Connecting to s3-eu-west-1.amazonaws.com (s3-eu-west-1.amazonaws.com)|52.218.100.115|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 805198753 (768M) [application/octet-stream]\n",
            "Saving to: ‘/content/image_caption_check.ckpt’\n",
            "\n",
            "     0K ........ ........ ........ ........  4% 74.5M 10s\n",
            " 32768K ........ ........ ........ ........  8%  137M 7s\n",
            " 65536K ........ ........ ........ ........ 12%  124M 6s\n",
            " 98304K ........ ........ ........ ........ 16% 78.7M 7s\n",
            "131072K ........ ........ ........ ........ 20%  121M 6s\n",
            "163840K ........ ........ ........ ........ 25% 95.4M 6s\n",
            "196608K ........ ........ ........ ........ 29% 95.5M 5s\n",
            "229376K ........ ........ ........ ........ 33% 86.9M 5s\n",
            "262144K ........ ........ ........ ........ 37% 96.4M 5s\n",
            "294912K ........ ........ ........ ........ 41%  102M 5s\n",
            "327680K ........ ........ ........ ........ 45% 97.5M 4s\n",
            "360448K ........ ........ ........ ........ 50% 93.4M 4s\n",
            "393216K ........ ........ ........ ........ 54% 97.7M 4s\n",
            "425984K ........ ........ ........ ........ 58% 93.7M 3s\n",
            "458752K ........ ........ ........ ........ 62% 65.8M 3s\n",
            "491520K ........ ........ ........ ........ 66%  160M 3s\n",
            "524288K ........ ........ ........ ........ 70% 91.2M 2s\n",
            "557056K ........ ........ ........ ........ 75%  107M 2s\n",
            "589824K ........ ........ ........ ........ 79% 95.4M 2s\n",
            "622592K ........ ........ ........ ........ 83% 61.8M 1s\n",
            "655360K ........ ........ ........ ........ 87%  162M 1s\n",
            "688128K ........ ........ ........ ........ 91%  110M 1s\n",
            "720896K ........ ........ ........ ........ 95% 95.5M 0s\n",
            "753664K ........ ........ ........ ....... 100% 95.4M=8.0s\n",
            "\n",
            "2020-07-01 23:04:17 (96.4 MB/s) - ‘/content/image_caption_check.ckpt’ saved [805198753/805198753]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T7EU2PCoF209",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from pipelines.test import TestPrediction\n",
        "ckpt = '/content/image_caption_check.ckpt'\n",
        "test_handler = TestPrediction(train_data, data, vocab, ckpt)"
      ],
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_dBDVMlj26Uf",
        "colab_type": "text"
      },
      "source": [
        "### Qualitative Results\n",
        "\n",
        "Let's first analyse the qualitative results. The Fig.6 shows a predicted new caption hypotheses in comparison with a reference caption and its image.\n",
        "\n",
        "You can change SAMPLE_ID from 0 to 63 in order to see other results."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T19iMsX8KlXv",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 333
        },
        "outputId": "bf26015d-0c16-4b9d-e68c-0e1b3c186598"
      },
      "source": [
        "SAMPLE_ID = 34\n",
        "\n",
        "from print_results import compute_sample_results, print_sample\n",
        "\n",
        "model_out = test_handler.predict_in_single_batch(single_batch=single_batch)\n",
        "\n",
        "hypotheses, references, images, alphas = compute_sample_results(\n",
        "    batch_sample=single_batch,\n",
        "    decoder_out = model_out\n",
        ")\n",
        "\n",
        "print('\\nFigure 6 - Single Sample Predicted Result.\\n')\n",
        "\n",
        "print_sample(\n",
        "    vocab=vocab,\n",
        "    hypotheses=hypotheses,\n",
        "    references=references,\n",
        "    images=images,\n",
        "    sample_id=SAMPLE_ID,\n",
        "    alphas=alphas,\n",
        "    show_att=False\n",
        ")"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Figure 6 - Single Sample Predicted Result.\n",
            "\n",
            "Hypotheses: a old car car car car in the street .\n",
            "References: an old teal colored car parked on the street .\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_cIY88m2dliH",
        "colab_type": "text"
      },
      "source": [
        "We notice that the result obtained in hypothesis is very similar to the reference sentence. However, our prediction has less details and repeated some words. This is caused because we interrupted out training in epoch 39. Also, we limited our train dataset, because lack of memory issues. We can also look to alphas variable and try to plot the attention mechanism effect, as shown in Fig.7."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kQjhfUGqci77",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 714
        },
        "outputId": "ee6bd4a9-31c0-458d-c64b-6b576761cacd"
      },
      "source": [
        "print('\\nFigure 7 - Effect of Soft Attention over a sample result.\\n')\n",
        "\n",
        "print_sample(\n",
        "    vocab=vocab,\n",
        "    hypotheses=hypotheses,\n",
        "    references=references,\n",
        "    images=images,\n",
        "    sample_id=SAMPLE_ID,\n",
        "    alphas=alphas,\n",
        "    show_att=True\n",
        ")"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Figure 7 - Effect of Soft Attention over a sample result.\n",
            "\n",
            "Hypotheses: a old car car car car in the street .\n",
            "References: an old teal colored car parked on the street .\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x1080 with 10 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_qFZquXdesZ9",
        "colab_type": "text"
      },
      "source": [
        "We can notice that the attention alpha values are starting to split relevant portions of the image. Pay attention in \"parked\" word, and notice how the attention mask excludes the car to generate this word. With more training this results starts to become more visible.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hcWlFch8pS5K",
        "colab_type": "text"
      },
      "source": [
        "### Quantitative Results\n",
        "\n",
        "We calculated BLEU metrics over all validation dataset."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Xq_CVMLjpW-1",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 426,
          "referenced_widgets": [
            "5fdea975c9c447cbb20b88db8c9dd4ef",
            "f5f738c7a4144383a430b4f03f8f137c",
            "71a6f5dd2e6f4c69b7c665e32a254477",
            "19b48ceaaab24900b6184f195f2f8358",
            "d36cbf48c3d544c2a1f13340807eb55e",
            "191da244e1ad4e58aa69324b9e02403e",
            "a7135c7669564150b03fc3a37e48682e",
            "e2bc34cec1fb43fa9bb010073fccfd6d"
          ]
        },
        "outputId": "c4aa61c0-df30-4b15-e246-fe9dba28680b"
      },
      "source": [
        "test_handler.notebook_test()"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "GPU available: True, used: True\n",
            "TPU available: False, using: 0 TPU cores\n",
            "CUDA_VISIBLE_DEVICES: [0]\n",
            "/usr/local/lib/python3.6/dist-packages/pytorch_lightning/utilities/distributed.py:25: UserWarning: The dataloader, test dataloader 0, does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` (try 2 which is the number of cpus on this machine) in the `DataLoader` init to improve performance.\n",
            "  warnings.warn(*args, **kwargs)\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "5fdea975c9c447cbb20b88db8c9dd4ef",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=1.0, bar_style='info', description='Testing', layout=Layout(flex='2'), max=…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Validation loss: tensor(2.4603, device='cuda:0')\n",
            "BLEU: 0.3485908750397418\n",
            "BLEU-1: 0.6694201343388213\n",
            "BLEU-2: 0.4237700983272757\n",
            "BLEU-3: 0.27755544076918504\n",
            "BLEU-4: 0.1875362524921306\n",
            "--------------------------------------------------------------------------------\n",
            "TEST RESULTS\n",
            "{'bleu': 0.3485908750397418,\n",
            " 'bleu_1': 0.6694201343388213,\n",
            " 'bleu_2': 0.4237700983272757,\n",
            " 'bleu_3': 0.27755544076918504,\n",
            " 'bleu_4': 0.1875362524921306,\n",
            " 'val_loss': tensor(2.4603, device='cuda:0')}\n",
            "--------------------------------------------------------------------------------\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZKBeKMwbp_LY",
        "colab_type": "text"
      },
      "source": [
        "The results are presented in Table 1.\n",
        "\n",
        "| Model         | Val (loss) | BLEU-1 | BLEU-2 | BLEU-3 | BLEU-4 |\n",
        "|---------------|------------|--------|--------|--------|--------|\n",
        "| JAMJOOM MODEL | 1.901      | 78.27  | 59.53  | 46.22  | 36.53  |\n",
        "| OUR MODEL     | 2.460      | 66.94  | 42.37  | 27.74  | 18.73  |\n",
        "\n",
        "<center>Table 1 - Model validation loss and BLEU scores on the validation dataset</center>\n",
        "\n",
        "From the Table, we can see that all of our results are below JamJoom implementation. This confirm the fact that we stopped in the middle of the train."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kSQ6sIAffEDM",
        "colab_type": "text"
      },
      "source": [
        "## Conclusions\n",
        "---\n",
        "Build a model for image captioning is not easy. Many modules are necessary: image encoder, word embedding generator, attention mechanism, text generator. Connect this model and fine-tuning each model together is a challenger.\n",
        "\n",
        "Our results showed that we still have space to improve. For this is necessary to continue the training until archive the best results.\n",
        "\n",
        "In future works, i will develop an inference model to make new images predictions. And try to developed approach that does not need a reference caption as input. Another desire goal is to remove the LSTM layer and use only a Transformer layer."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "C67bmA5mhf5A",
        "colab_type": "text"
      },
      "source": [
        "## References\n",
        "---\n",
        "\n",
        "\\[1\\] Vinyals, Oriol, et al. \"Show and tell: A neural image caption generator.\" *Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition*. 2015.\n",
        "\n",
        "\\[2\\] Hossain, MD Zakir, et al. \"A comprehensive survey of deep learning for image captioning.\" *ACM Computing Surveys (CSUR)* 51.6 (2019): 1-36.\n",
        "\n",
        "\\[3\\] Vaswani, Ashish, et al. \"Attention is all you need. 2017.\" *arXiv preprint arXiv:1706.03762* 10 (2017).\n",
        "\n",
        "\\[4\\] Devlin, Jacob, et al. \"Bert: Pre-training of deep bidirectional transformers for language understanding.\" *arXiv preprint arXiv:1810.04805* (2018).\n",
        "\n",
        "\\[5\\] Raffel, Colin, et al. \"Exploring the limits of transfer learning with a unified text-to-text transformer.\" *arXiv preprint arXiv:1910.10683* (2019).\n",
        "\n",
        "\\[6\\] Xu, Kelvin, et al. \"Show, attend and tell: Neural image caption generation with visual attention.\" *International Conference on Machine Learning*. 2015.\n",
        "\n",
        "\\[7\\] Li, Gen, et al. \"Unicoder-vl: A universal encoder for vision and language by cross-modal pre-training.\" *arXiv preprint arXiv:1908.06066* (2019).\n",
        "\n",
        "\\[8\\] Herdade, Simao, et al. \"Image Captioning: Transforming Objects into Words.\" *Advances in Neural Information Processing Systems*. 2019.\n",
        "\n",
        "\\[9\\] Su, Weijie, et al. \"Vl-bert: Pre-training of generic visual-linguistic representations.\" *arXiv preprint arXiv:1908.08530* (2019).\n",
        "\n",
        "\\[10\\] Li, Liunian Harold, et al. \"Visualbert: A simple and performant baseline for vision and language.\" *arXiv preprint arXiv:1908.03557* (2019).\n",
        "\n",
        "\\[11\\] Lu, Jiasen, et al. \"Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks.\" *Advances in Neural Information Processing Systems*. 2019.\n",
        "\n",
        "\\[12\\] Lin, Tsung-Yi, et al. \"Microsoft coco: Common objects in context.\" European conference on computer vision. Springer, Cham, 2014."
      ]
    }
  ]
}