rubiks_camsolver_training.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "rubiks_camsolver_training.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyOFibhWAZd0WmVcKFz+ugXY",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Varun221/rubiks_camsolver/blob/master/rubiks_camsolver_training.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NidMmlryeDfa",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# I stored my data in my drive hence loading up from drive\n",
        "from pydrive.auth import GoogleAuth\n",
        "from pydrive.drive import GoogleDrive\n",
        "from google.colab import auth\n",
        "from oauth2client.client import GoogleCredentials\n",
        "\n",
        "# 1. Authenticate and create the PyDrive client.\n",
        "auth.authenticate_user()\n",
        "gauth = GoogleAuth()\n",
        "gauth.credentials = GoogleCredentials.get_application_default()\n",
        "drive = GoogleDrive(gauth)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hQBM8Zp0ePON",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# getting out data\n",
        "def get_file_from_drive(folder_id, file_name):\n",
        "  file_list = drive.ListFile({'q': \"'\" + folder_id + \"' in parents and trashed=false\"}).GetList()\n",
        "  for file in file_list:\n",
        "    if file['title'] == file_name:\n",
        "      return file['id']\n",
        "\n",
        "\n",
        "drive_folder_id = '1oj3k3kGIpqaYfCZpJ2aqV5f3yWzQFeVC'\n",
        "filename = 'data.zip'\n",
        "\n",
        "def upload_data_system():\n",
        "  downloaded = drive.CreateFile({'id': get_file_from_drive(drive_folder_id, filename)})\n",
        "  downloaded.GetContentFile(filename) \n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "upload_data_system()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jn3VSYcRecd_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "201ec2a7-d56e-433c-b460-5b3e2c292401"
      },
      "source": [
        "!unzip data.zip"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Archive:  data.zip\n",
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          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iUZz05QAeebL",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        },
        "outputId": "07a33ab3-9d90-4f8e-8cf1-1c71168eec4e"
      },
      "source": [
        "# cloning the awesome repo\n",
        "!git clone https://github.com/AntonMu/TrainYourOwnYOLO"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'TrainYourOwnYOLO'...\n",
            "remote: Enumerating objects: 12, done.\u001b[K\n",
            "remote: Counting objects: 100% (12/12), done.\u001b[K\n",
            "remote: Compressing objects: 100% (12/12), done.\u001b[K\n",
            "remote: Total 2329 (delta 6), reused 0 (delta 0), pack-reused 2317\u001b[K\n",
            "Receiving objects: 100% (2329/2329), 143.58 MiB | 20.17 MiB/s, done.\n",
            "Resolving deltas: 100% (779/779), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gnfEyF-6qJ95",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "c601fab8-14bc-4a6b-cf99-f971624b7048"
      },
      "source": [
        "# installing the requirements. Needs restart of runtime\n",
        "!pip install -r TrainYourOwnYOLO/requirements.txt"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: setuptools>=41.0.0 in /usr/local/lib/python3.6/dist-packages (from -r TrainYourOwnYOLO/requirements.txt (line 1)) (49.1.0)\n",
            "Requirement already satisfied: pip>=19.0.0 in /usr/local/lib/python3.6/dist-packages (from -r TrainYourOwnYOLO/requirements.txt (line 2)) (19.3.1)\n",
            "Collecting absl-py==0.7.1\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/da/3f/9b0355080b81b15ba6a9ffcf1f5ea39e307a2778b2f2dc8694724e8abd5b/absl-py-0.7.1.tar.gz (99kB)\n",
            "\u001b[K     |████████████████████████████████| 102kB 4.6MB/s \n",
            "\u001b[?25hCollecting astor==0.8.0\n",
            "  Downloading https://files.pythonhosted.org/packages/d1/4f/950dfae467b384fc96bc6469de25d832534f6b4441033c39f914efd13418/astor-0.8.0-py2.py3-none-any.whl\n",
            "Collecting attrs==19.1.0\n",
            "  Downloading https://files.pythonhosted.org/packages/23/96/d828354fa2dbdf216eaa7b7de0db692f12c234f7ef888cc14980ef40d1d2/attrs-19.1.0-py2.py3-none-any.whl\n",
            "Collecting backcall==0.1.0\n",
            "  Downloading https://files.pythonhosted.org/packages/84/71/c8ca4f5bb1e08401b916c68003acf0a0655df935d74d93bf3f3364b310e0/backcall-0.1.0.tar.gz\n",
            "Collecting bleach==3.1.4\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/c7/bc/9c2bbd8bff5f393e3373687109117a061db4c8ccdf6b5c70b1f8834bd67a/bleach-3.1.4-py2.py3-none-any.whl (151kB)\n",
            "\u001b[K     |████████████████████████████████| 153kB 12.1MB/s \n",
            "\u001b[?25hCollecting certifi==2019.6.16\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/69/1b/b853c7a9d4f6a6d00749e94eb6f3a041e342a885b87340b79c1ef73e3a78/certifi-2019.6.16-py2.py3-none-any.whl (157kB)\n",
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            "\u001b[?25hRequirement already satisfied: chardet==3.0.4 in /usr/local/lib/python3.6/dist-packages (from -r TrainYourOwnYOLO/requirements.txt (line 9)) (3.0.4)\n",
            "Requirement already satisfied: cycler==0.10.0 in /usr/local/lib/python3.6/dist-packages (from -r TrainYourOwnYOLO/requirements.txt (line 10)) (0.10.0)\n",
            "Collecting decorator==4.4.0\n",
            "  Downloading https://files.pythonhosted.org/packages/5f/88/0075e461560a1e750a0dcbf77f1d9de775028c37a19a346a6c565a257399/decorator-4.4.0-py2.py3-none-any.whl\n",
            "Requirement already satisfied: defusedxml==0.6.0 in /usr/local/lib/python3.6/dist-packages (from -r TrainYourOwnYOLO/requirements.txt (line 12)) (0.6.0)\n",
            "Collecting progressbar2==3.46.1\n",
            "  Downloading https://files.pythonhosted.org/packages/3f/f9/0dfd9136e6ae2393142841d641e0149ba6b04e26644ddd6e4a6755ab6d9e/progressbar2-3.46.1-py2.py3-none-any.whl\n",
            "Requirement already satisfied: entrypoints==0.3 in /usr/local/lib/python3.6/dist-packages (from -r TrainYourOwnYOLO/requirements.txt (line 14)) (0.3)\n",
            "Collecting gast==0.2.2\n",
            "  Downloading https://files.pythonhosted.org/packages/4e/35/11749bf99b2d4e3cceb4d55ca22590b0d7c2c62b9de38ac4a4a7f4687421/gast-0.2.2.tar.gz\n",
            "Collecting google-pasta==0.1.7\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/d0/33/376510eb8d6246f3c30545f416b2263eee461e40940c2a4413c711bdf62d/google_pasta-0.1.7-py3-none-any.whl (52kB)\n",
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            "\u001b[?25hCollecting grpcio==1.22.0\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/f2/5d/b434403adb2db8853a97828d3d19f2032e79d630e0d11a8e95d243103a11/grpcio-1.22.0-cp36-cp36m-manylinux1_x86_64.whl (2.2MB)\n",
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            "\u001b[?25hCollecting h5py==2.9.0\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/30/99/d7d4fbf2d02bb30fb76179911a250074b55b852d34e98dd452a9f394ac06/h5py-2.9.0-cp36-cp36m-manylinux1_x86_64.whl (2.8MB)\n",
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            "\u001b[?25hCollecting idna==2.8\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/14/2c/cd551d81dbe15200be1cf41cd03869a46fe7226e7450af7a6545bfc474c9/idna-2.8-py2.py3-none-any.whl (58kB)\n",
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            "\u001b[?25hCollecting ipykernel==5.1.1\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/a0/35/dd97fbb48d4e6b5ae97307497e31e46691adc2feedb6279d29fc1c8ad9c1/ipykernel-5.1.1-py3-none-any.whl (114kB)\n",
            "\u001b[K     |████████████████████████████████| 122kB 43.5MB/s \n",
            "\u001b[?25hCollecting ipython==7.6.1\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/a6/2c/c7d44277b599df35af734d8f4142d501192fdb7aef5d04daf882d7eccfbc/ipython-7.6.1-py3-none-any.whl (774kB)\n",
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            "\u001b[?25hRequirement already satisfied: ipython-genutils==0.2.0 in /usr/local/lib/python3.6/dist-packages (from -r TrainYourOwnYOLO/requirements.txt (line 22)) (0.2.0)\n",
            "Collecting ipywidgets==7.5.0\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/86/c2/20a3514f87fc063b4853673966e85c091843de659374d6e1dd046319815a/ipywidgets-7.5.0-py2.py3-none-any.whl (121kB)\n",
            "\u001b[K     |████████████████████████████████| 122kB 43.2MB/s \n",
            "\u001b[?25hCollecting jedi==0.14.0\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/68/42/6309f3871b2f8361764ac5b2fe6719f9c6e6561d9307d8cecda319cf5843/jedi-0.14.0-py2.py3-none-any.whl (1.0MB)\n",
            "\u001b[K     |████████████████████████████████| 1.0MB 42.8MB/s \n",
            "\u001b[?25hCollecting Jinja2==2.10.1\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/1d/e7/fd8b501e7a6dfe492a433deb7b9d833d39ca74916fa8bc63dd1a4947a671/Jinja2-2.10.1-py2.py3-none-any.whl (124kB)\n",
            "\u001b[K     |████████████████████████████████| 133kB 29.5MB/s \n",
            "\u001b[?25hCollecting joblib==0.13.2\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/cd/c1/50a758e8247561e58cb87305b1e90b171b8c767b15b12a1734001f41d356/joblib-0.13.2-py2.py3-none-any.whl (278kB)\n",
            "\u001b[K     |████████████████████████████████| 286kB 40.5MB/s \n",
            "\u001b[?25hCollecting jsonschema==3.0.1\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/aa/69/df679dfbdd051568b53c38ec8152a3ab6bc533434fc7ed11ab034bf5e82f/jsonschema-3.0.1-py2.py3-none-any.whl (54kB)\n",
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            "\u001b[?25hRequirement already satisfied: jupyter==1.0.0 in /usr/local/lib/python3.6/dist-packages (from -r TrainYourOwnYOLO/requirements.txt (line 28)) (1.0.0)\n",
            "Collecting jupyter-client==5.3.0\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/c1/94/c9a9ed5268b73e31ab81a045ba1261a2284ad805b4896a09d990384cebaa/jupyter_client-5.3.0-py2.py3-none-any.whl (91kB)\n",
            "\u001b[K     |████████████████████████████████| 92kB 10.6MB/s \n",
            "\u001b[?25hCollecting jupyter-console==6.0.0\n",
            "  Downloading https://files.pythonhosted.org/packages/cb/ee/6374ae8c21b7d0847f9c3722dcdfac986b8e54fa9ad9ea66e1eb6320d2b8/jupyter_console-6.0.0-py2.py3-none-any.whl\n",
            "Collecting jupyter-core==4.5.0\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/e6/25/6ffb0f6e57fa6ef5d2f814377133b361b42a6dd39105f4885a4f1666c2c3/jupyter_core-4.5.0-py2.py3-none-any.whl (78kB)\n",
            "\u001b[K     |████████████████████████████████| 81kB 9.6MB/s \n",
            "\u001b[?25hCollecting Keras==2.2.4\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/5e/10/aa32dad071ce52b5502266b5c659451cfd6ffcbf14e6c8c4f16c0ff5aaab/Keras-2.2.4-py2.py3-none-any.whl (312kB)\n",
            "\u001b[K     |████████████████████████████████| 317kB 44.8MB/s \n",
            "\u001b[?25hRequirement already satisfied: Keras-Applications==1.0.8 in /usr/local/lib/python3.6/dist-packages (from -r TrainYourOwnYOLO/requirements.txt (line 33)) (1.0.8)\n",
            "Collecting Keras-Preprocessing==1.1.0\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/28/6a/8c1f62c37212d9fc441a7e26736df51ce6f0e38455816445471f10da4f0a/Keras_Preprocessing-1.1.0-py2.py3-none-any.whl (41kB)\n",
            "\u001b[K     |████████████████████████████████| 51kB 6.5MB/s \n",
            "\u001b[?25hCollecting kiwisolver==1.1.0\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/f8/a1/5742b56282449b1c0968197f63eae486eca2c35dcd334bab75ad524e0de1/kiwisolver-1.1.0-cp36-cp36m-manylinux1_x86_64.whl (90kB)\n",
            "\u001b[K     |████████████████████████████████| 92kB 6.7MB/s \n",
            "\u001b[?25hCollecting Markdown==3.1.1\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/c0/4e/fd492e91abdc2d2fcb70ef453064d980688762079397f779758e055f6575/Markdown-3.1.1-py2.py3-none-any.whl (87kB)\n",
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            "\u001b[?25hRequirement already satisfied: MarkupSafe==1.1.1 in /usr/local/lib/python3.6/dist-packages (from -r TrainYourOwnYOLO/requirements.txt (line 37)) (1.1.1)\n",
            "Collecting matplotlib==3.0.3\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/e9/69/f5e05f578585ed9935247be3788b374f90701296a70c8871bcd6d21edb00/matplotlib-3.0.3-cp36-cp36m-manylinux1_x86_64.whl (13.0MB)\n",
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            "Requirement already satisfied: mpmath==1.1.0 in /usr/local/lib/python3.6/dist-packages (from -r TrainYourOwnYOLO/requirements.txt (line 40)) (1.1.0)\n",
            "Collecting nbconvert==5.5.0\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/35/e7/f46c9d65f149271e47fca6ab084ef5c6e4cb1870f4c5cce6690feac55231/nbconvert-5.5.0-py2.py3-none-any.whl (447kB)\n",
            "\u001b[K     |████████████████████████████████| 450kB 38.8MB/s \n",
            "\u001b[?25hCollecting nbformat==4.4.0\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/da/27/9a654d2b6cc1eaa517d1c5a4405166c7f6d72f04f6e7eea41855fe808a46/nbformat-4.4.0-py2.py3-none-any.whl (155kB)\n",
            "\u001b[K     |████████████████████████████████| 163kB 45.8MB/s \n",
            "\u001b[?25hCollecting notebook==5.7.8\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/f6/36/89ebfffc9dd8c8dbd81c1ffb53e3d4233ee666414c143959477cb07cc5f5/notebook-5.7.8-py2.py3-none-any.whl (9.0MB)\n",
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            "\u001b[?25hCollecting numpy==1.16.4\n",
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            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/7b/d2/a2dbf83d4553ca6b3701d91d75e42fe50aea97acdc00652dca515749fb5d/opencv_python-4.1.0.25-cp36-cp36m-manylinux1_x86_64.whl (26.6MB)\n",
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            "\u001b[?25hCollecting pandas==0.24.2\n",
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            "Collecting parso==0.5.0\n",
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            "\u001b[?25hCollecting pexpect==4.7.0\n",
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            "Collecting Pillow==6.2.2\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/8a/fd/bbbc569f98f47813c50a116b539d97b3b17a86ac7a309f83b2022d26caf2/Pillow-6.2.2-cp36-cp36m-manylinux1_x86_64.whl (2.1MB)\n",
            "\u001b[K     |████████████████████████████████| 2.1MB 36.0MB/s \n",
            "\u001b[?25hCollecting prometheus-client==0.7.1\n",
            "  Downloading https://files.pythonhosted.org/packages/b3/23/41a5a24b502d35a4ad50a5bb7202a5e1d9a0364d0c12f56db3dbf7aca76d/prometheus_client-0.7.1.tar.gz\n",
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            "\u001b[?25hCollecting protobuf==3.8.0\n",
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            "\u001b[K     |████████████████████████████████| 1.2MB 30.2MB/s \n",
            "\u001b[?25hRequirement already satisfied: ptyprocess==0.6.0 in /usr/local/lib/python3.6/dist-packages (from -r TrainYourOwnYOLO/requirements.txt (line 55)) (0.6.0)\n",
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            "\u001b[K     |████████████████████████████████| 890kB 35.9MB/s \n",
            "\u001b[?25hCollecting pyparsing==2.4.0\n",
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            "\u001b[?25hCollecting pyrsistent==0.15.3\n",
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            "\u001b[?25hCollecting python-dateutil==2.8.0\n",
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            "\u001b[?25hCollecting pytz==2019.1\n",
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            "\u001b[K     |████████████████████████████████| 512kB 40.0MB/s \n",
            "\u001b[?25hCollecting PyYAML==5.1.1\n",
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            "\u001b[?25hCollecting pyzmq==18.0.2\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/92/92/ea8f20560d5f1d0c6eb3c7c67ca72abfb97307f4e6494fc05cc7c37904cf/pyzmq-18.0.2-cp36-cp36m-manylinux1_x86_64.whl (1.1MB)\n",
            "\u001b[K     |████████████████████████████████| 1.1MB 24.6MB/s \n",
            "\u001b[?25hCollecting qtconsole==4.5.1\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/79/0b/efb5a694b6922bb85c35e4f1db6197daae23c764dd384023fc9517d79e26/qtconsole-4.5.1-py2.py3-none-any.whl (118kB)\n",
            "\u001b[K     |████████████████████████████████| 122kB 43.7MB/s \n",
            "\u001b[?25hCollecting requests==2.22.0\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/51/bd/23c926cd341ea6b7dd0b2a00aba99ae0f828be89d72b2190f27c11d4b7fb/requests-2.22.0-py2.py3-none-any.whl (57kB)\n",
            "\u001b[K     |████████████████████████████████| 61kB 8.2MB/s \n",
            "\u001b[?25hCollecting scikit-learn==0.21.2\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/85/04/49633f490f726da6e454fddc8e938bbb5bfed2001681118d3814c219b723/scikit_learn-0.21.2-cp36-cp36m-manylinux1_x86_64.whl (6.7MB)\n",
            "\u001b[K     |████████████████████████████████| 6.7MB 24.4MB/s \n",
            "\u001b[?25hCollecting scipy==1.3.0\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/72/4c/5f81e7264b0a7a8bd570810f48cd346ba36faedbd2ba255c873ad556de76/scipy-1.3.0-cp36-cp36m-manylinux1_x86_64.whl (25.2MB)\n",
            "\u001b[K     |████████████████████████████████| 25.2MB 87kB/s \n",
            "\u001b[?25hRequirement already satisfied: Send2Trash==1.5.0 in /usr/local/lib/python3.6/dist-packages (from -r TrainYourOwnYOLO/requirements.txt (line 67)) (1.5.0)\n",
            "Collecting six==1.12.0\n",
            "  Downloading https://files.pythonhosted.org/packages/73/fb/00a976f728d0d1fecfe898238ce23f502a721c0ac0ecfedb80e0d88c64e9/six-1.12.0-py2.py3-none-any.whl\n",
            "Requirement already satisfied: sklearn==0.0 in /usr/local/lib/python3.6/dist-packages (from -r TrainYourOwnYOLO/requirements.txt (line 69)) (0.0)\n",
            "Collecting sympy==1.4\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/21/21/f4105795ca7f35c541d82c5b06be684dd2f5cb4f508fb487cd7aea4de776/sympy-1.4-py2.py3-none-any.whl (5.3MB)\n",
            "\u001b[K     |████████████████████████████████| 5.3MB 38.9MB/s \n",
            "\u001b[?25hCollecting tensorboard==1.15.0\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/1e/e9/d3d747a97f7188f48aa5eda486907f3b345cd409f0a0850468ba867db246/tensorboard-1.15.0-py3-none-any.whl (3.8MB)\n",
            "\u001b[K     |████████████████████████████████| 3.8MB 30.1MB/s \n",
            "\u001b[?25hCollecting tensorflow==1.15.2\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/9a/d9/fd234c7bf68638423fb8e7f44af7fcfce3bcaf416b51e6d902391e47ec43/tensorflow-1.15.2-cp36-cp36m-manylinux2010_x86_64.whl (110.5MB)\n",
            "\u001b[K     |████████████████████████████████| 110.5MB 31kB/s \n",
            "\u001b[?25hCollecting tensorflow-estimator==1.15.0\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/a2/06/f85612500ed82667a401715f13005ec464324f43c3812930488a86104ac2/tensorflow_estimator-1.15.0-py2.py3-none-any.whl (503kB)\n",
            "\u001b[K     |████████████████████████████████| 512kB 39.5MB/s \n",
            "\u001b[?25hRequirement already satisfied: termcolor==1.1.0 in /usr/local/lib/python3.6/dist-packages (from -r TrainYourOwnYOLO/requirements.txt (line 74)) (1.1.0)\n",
            "Collecting terminado==0.8.2\n",
            "  Downloading https://files.pythonhosted.org/packages/a7/56/80ea7fa66565fa75ae21ce0c16bc90067530e5d15e48854afcc86585a391/terminado-0.8.2-py2.py3-none-any.whl\n",
            "Collecting testpath==0.4.2\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/be/a4/162f9ebb6489421fe46dcca2ae420369edfee4b563c668d93cb4605d12ba/testpath-0.4.2-py2.py3-none-any.whl (163kB)\n",
            "\u001b[K     |████████████████████████████████| 163kB 44.4MB/s \n",
            "\u001b[?25hCollecting tornado==6.0.3\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/30/78/2d2823598496127b21423baffaa186b668f73cd91887fcef78b6eade136b/tornado-6.0.3.tar.gz (482kB)\n",
            "\u001b[K     |████████████████████████████████| 491kB 35.6MB/s \n",
            "\u001b[?25hCollecting traitlets==4.3.2\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/93/d6/abcb22de61d78e2fc3959c964628a5771e47e7cc60d53e9342e21ed6cc9a/traitlets-4.3.2-py2.py3-none-any.whl (74kB)\n",
            "\u001b[K     |████████████████████████████████| 81kB 9.9MB/s \n",
            "\u001b[?25hCollecting urllib3==1.25.3\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/e6/60/247f23a7121ae632d62811ba7f273d0e58972d75e58a94d329d51550a47d/urllib3-1.25.3-py2.py3-none-any.whl (150kB)\n",
            "\u001b[K     |████████████████████████████████| 153kB 44.8MB/s \n",
            "\u001b[?25hCollecting wcwidth==0.1.7\n",
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            "Requirement already satisfied: webencodings==0.5.1 in /usr/local/lib/python3.6/dist-packages (from -r TrainYourOwnYOLO/requirements.txt (line 81)) (0.5.1)\n",
            "Collecting Werkzeug==0.15.4\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/9f/57/92a497e38161ce40606c27a86759c6b92dd34fcdb33f64171ec559257c02/Werkzeug-0.15.4-py2.py3-none-any.whl (327kB)\n",
            "\u001b[K     |████████████████████████████████| 327kB 36.3MB/s \n",
            "\u001b[?25hCollecting widgetsnbextension==3.5.0\n",
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            "\u001b[K     |████████████████████████████████| 2.2MB 32.1MB/s \n",
            "\u001b[?25hCollecting wrapt==1.11.2\n",
            "  Downloading https://files.pythonhosted.org/packages/23/84/323c2415280bc4fc880ac5050dddfb3c8062c2552b34c2e512eb4aa68f79/wrapt-1.11.2.tar.gz\n",
            "Requirement already satisfied: python-utils>=2.3.0 in /usr/local/lib/python3.6/dist-packages (from progressbar2==3.46.1->-r TrainYourOwnYOLO/requirements.txt (line 13)) (2.4.0)\n",
            "Requirement already satisfied: wheel>=0.26; python_version >= \"3\" in /usr/local/lib/python3.6/dist-packages (from tensorboard==1.15.0->-r TrainYourOwnYOLO/requirements.txt (line 71)) (0.34.2)\n",
            "Requirement already satisfied: opt-einsum>=2.3.2 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.15.2->-r TrainYourOwnYOLO/requirements.txt (line 72)) (3.3.0)\n",
            "Building wheels for collected packages: absl-py, backcall, gast, prometheus-client, pyrsistent, PyYAML, tornado, wrapt\n",
            "  Building wheel for absl-py (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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            "  Stored in directory: /root/.cache/pip/wheels/ee/98/38/46cbcc5a93cfea5492d19c38562691ddb23b940176c14f7b48\n",
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            "  Stored in directory: /root/.cache/pip/wheels/d7/de/2e/efa132238792efb6459a96e85916ef8597fcb3d2ae51590dfd\n",
            "Successfully built absl-py backcall gast prometheus-client pyrsistent PyYAML tornado wrapt\n",
            "\u001b[31mERROR: xarray 0.15.1 has requirement pandas>=0.25, but you'll have pandas 0.24.2 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: umap-learn 0.4.6 has requirement numpy>=1.17, but you'll have numpy 1.16.4 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: umap-learn 0.4.6 has requirement scipy>=1.3.1, but you'll have scipy 1.3.0 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: tensorflow 1.15.2 has requirement tensorflow-estimator==1.15.1, but you'll have tensorflow-estimator 1.15.0 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: tensorflow-probability 0.10.0 has requirement gast>=0.3.2, but you'll have gast 0.2.2 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: plotnine 0.6.0 has requirement matplotlib>=3.1.1, but you'll have matplotlib 3.0.3 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: plotnine 0.6.0 has requirement pandas>=0.25.0, but you'll have pandas 0.24.2 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: mizani 0.6.0 has requirement matplotlib>=3.1.1, but you'll have matplotlib 3.0.3 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: mizani 0.6.0 has requirement pandas>=0.25.0, but you'll have pandas 0.24.2 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: kaggle 1.5.6 has requirement urllib3<1.25,>=1.21.1, but you'll have urllib3 1.25.3 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: google-colab 1.0.0 has requirement ipykernel~=4.10, but you'll have ipykernel 5.1.1 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: google-colab 1.0.0 has requirement ipython~=5.5.0, but you'll have ipython 7.6.1 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: google-colab 1.0.0 has requirement notebook~=5.3.0; python_version >= \"3.0\", but you'll have notebook 5.7.8 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: google-colab 1.0.0 has requirement pandas~=1.0.0; python_version >= \"3.0\", but you'll have pandas 0.24.2 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: google-colab 1.0.0 has requirement requests~=2.23.0, but you'll have requests 2.22.0 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: google-colab 1.0.0 has requirement six~=1.15.0, but you'll have six 1.12.0 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: google-colab 1.0.0 has requirement tornado~=5.1.0; python_version >= \"3.0\", but you'll have tornado 6.0.3 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: datascience 0.10.6 has requirement folium==0.2.1, but you'll have folium 0.8.3 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: albumentations 0.1.12 has requirement imgaug<0.2.7,>=0.2.5, but you'll have imgaug 0.2.9 which is incompatible.\u001b[0m\n",
            "Installing collected packages: six, absl-py, astor, attrs, backcall, bleach, certifi, decorator, progressbar2, gast, google-pasta, grpcio, numpy, h5py, idna, tornado, Pygments, pexpect, wcwidth, prompt-toolkit, traitlets, parso, jedi, ipython, pyzmq, jupyter-core, python-dateutil, jupyter-client, ipykernel, pyrsistent, jsonschema, nbformat, Jinja2, prometheus-client, testpath, nbconvert, terminado, notebook, widgetsnbextension, ipywidgets, joblib, jupyter-console, Keras-Preprocessing, scipy, PyYAML, Keras, kiwisolver, Markdown, pyparsing, matplotlib, opencv-python, pytz, pandas, Pillow, protobuf, qtconsole, urllib3, requests, scikit-learn, sympy, Werkzeug, tensorboard, tensorflow-estimator, wrapt, tensorflow\n",
            "  Found existing installation: six 1.15.0\n",
            "    Uninstalling six-1.15.0:\n",
            "      Successfully uninstalled six-1.15.0\n",
            "  Found existing installation: absl-py 0.9.0\n",
            "    Uninstalling absl-py-0.9.0:\n",
            "      Successfully uninstalled absl-py-0.9.0\n",
            "  Found existing installation: astor 0.8.1\n",
            "    Uninstalling astor-0.8.1:\n",
            "      Successfully uninstalled astor-0.8.1\n",
            "  Found existing installation: attrs 19.3.0\n",
            "    Uninstalling attrs-19.3.0:\n",
            "      Successfully uninstalled attrs-19.3.0\n",
            "  Found existing installation: backcall 0.2.0\n",
            "    Uninstalling backcall-0.2.0:\n",
            "      Successfully uninstalled backcall-0.2.0\n",
            "  Found existing installation: bleach 3.1.5\n",
            "    Uninstalling bleach-3.1.5:\n",
            "      Successfully uninstalled bleach-3.1.5\n",
            "  Found existing installation: certifi 2020.6.20\n",
            "    Uninstalling certifi-2020.6.20:\n",
            "      Successfully uninstalled certifi-2020.6.20\n",
            "  Found existing installation: decorator 4.4.2\n",
            "    Uninstalling decorator-4.4.2:\n",
            "      Successfully uninstalled decorator-4.4.2\n",
            "  Found existing installation: progressbar2 3.38.0\n",
            "    Uninstalling progressbar2-3.38.0:\n",
            "      Successfully uninstalled progressbar2-3.38.0\n",
            "  Found existing installation: gast 0.3.3\n",
            "    Uninstalling gast-0.3.3:\n",
            "      Successfully uninstalled gast-0.3.3\n",
            "  Found existing installation: google-pasta 0.2.0\n",
            "    Uninstalling google-pasta-0.2.0:\n",
            "      Successfully uninstalled google-pasta-0.2.0\n",
            "  Found existing installation: grpcio 1.30.0\n",
            "    Uninstalling grpcio-1.30.0:\n",
            "      Successfully uninstalled grpcio-1.30.0\n",
            "  Found existing installation: numpy 1.18.5\n",
            "    Uninstalling numpy-1.18.5:\n",
            "      Successfully uninstalled numpy-1.18.5\n",
            "  Found existing installation: h5py 2.10.0\n",
            "    Uninstalling h5py-2.10.0:\n",
            "      Successfully uninstalled h5py-2.10.0\n",
            "  Found existing installation: idna 2.10\n",
            "    Uninstalling idna-2.10:\n",
            "      Successfully uninstalled idna-2.10\n",
            "  Found existing installation: tornado 5.1.1\n",
            "    Uninstalling tornado-5.1.1:\n",
            "      Successfully uninstalled tornado-5.1.1\n",
            "  Found existing installation: Pygments 2.1.3\n",
            "    Uninstalling Pygments-2.1.3:\n",
            "      Successfully uninstalled Pygments-2.1.3\n",
            "  Found existing installation: pexpect 4.8.0\n",
            "    Uninstalling pexpect-4.8.0:\n",
            "      Successfully uninstalled pexpect-4.8.0\n",
            "  Found existing installation: wcwidth 0.2.5\n",
            "    Uninstalling wcwidth-0.2.5:\n",
            "      Successfully uninstalled wcwidth-0.2.5\n",
            "  Found existing installation: prompt-toolkit 1.0.18\n",
            "    Uninstalling prompt-toolkit-1.0.18:\n",
            "      Successfully uninstalled prompt-toolkit-1.0.18\n",
            "  Found existing installation: traitlets 4.3.3\n",
            "    Uninstalling traitlets-4.3.3:\n",
            "      Successfully uninstalled traitlets-4.3.3\n",
            "  Found existing installation: parso 0.7.0\n",
            "    Uninstalling parso-0.7.0:\n",
            "      Successfully uninstalled parso-0.7.0\n",
            "  Found existing installation: jedi 0.17.2\n",
            "    Uninstalling jedi-0.17.2:\n",
            "      Successfully uninstalled jedi-0.17.2\n",
            "  Found existing installation: ipython 5.5.0\n",
            "    Uninstalling ipython-5.5.0:\n",
            "      Successfully uninstalled ipython-5.5.0\n",
            "  Found existing installation: pyzmq 19.0.1\n",
            "    Uninstalling pyzmq-19.0.1:\n",
            "      Successfully uninstalled pyzmq-19.0.1\n",
            "  Found existing installation: jupyter-core 4.6.3\n",
            "    Uninstalling jupyter-core-4.6.3:\n",
            "      Successfully uninstalled jupyter-core-4.6.3\n",
            "  Found existing installation: python-dateutil 2.8.1\n",
            "    Uninstalling python-dateutil-2.8.1:\n",
            "      Successfully uninstalled python-dateutil-2.8.1\n",
            "  Found existing installation: jupyter-client 5.3.5\n",
            "    Uninstalling jupyter-client-5.3.5:\n",
            "      Successfully uninstalled jupyter-client-5.3.5\n",
            "  Found existing installation: ipykernel 4.10.1\n",
            "    Uninstalling ipykernel-4.10.1:\n",
            "      Successfully uninstalled ipykernel-4.10.1\n",
            "  Found existing installation: pyrsistent 0.16.0\n",
            "    Uninstalling pyrsistent-0.16.0:\n",
            "      Successfully uninstalled pyrsistent-0.16.0\n",
            "  Found existing installation: jsonschema 2.6.0\n",
            "    Uninstalling jsonschema-2.6.0:\n",
            "      Successfully uninstalled jsonschema-2.6.0\n",
            "  Found existing installation: nbformat 5.0.7\n",
            "    Uninstalling nbformat-5.0.7:\n",
            "      Successfully uninstalled nbformat-5.0.7\n",
            "  Found existing installation: Jinja2 2.11.2\n",
            "    Uninstalling Jinja2-2.11.2:\n",
            "      Successfully uninstalled Jinja2-2.11.2\n",
            "  Found existing installation: prometheus-client 0.8.0\n",
            "    Uninstalling prometheus-client-0.8.0:\n",
            "      Successfully uninstalled prometheus-client-0.8.0\n",
            "  Found existing installation: testpath 0.4.4\n",
            "    Uninstalling testpath-0.4.4:\n",
            "      Successfully uninstalled testpath-0.4.4\n",
            "  Found existing installation: nbconvert 5.6.1\n",
            "    Uninstalling nbconvert-5.6.1:\n",
            "      Successfully uninstalled nbconvert-5.6.1\n",
            "  Found existing installation: terminado 0.8.3\n",
            "    Uninstalling terminado-0.8.3:\n",
            "      Successfully uninstalled terminado-0.8.3\n",
            "  Found existing installation: notebook 5.3.1\n",
            "    Uninstalling notebook-5.3.1:\n",
            "      Successfully uninstalled notebook-5.3.1\n",
            "  Found existing installation: widgetsnbextension 3.5.1\n",
            "    Uninstalling widgetsnbextension-3.5.1:\n",
            "      Successfully uninstalled widgetsnbextension-3.5.1\n",
            "  Found existing installation: ipywidgets 7.5.1\n",
            "    Uninstalling ipywidgets-7.5.1:\n",
            "      Successfully uninstalled ipywidgets-7.5.1\n",
            "  Found existing installation: joblib 0.16.0\n",
            "    Uninstalling joblib-0.16.0:\n",
            "      Successfully uninstalled joblib-0.16.0\n",
            "  Found existing installation: jupyter-console 5.2.0\n",
            "    Uninstalling jupyter-console-5.2.0:\n",
            "      Successfully uninstalled jupyter-console-5.2.0\n",
            "  Found existing installation: Keras-Preprocessing 1.1.2\n",
            "    Uninstalling Keras-Preprocessing-1.1.2:\n",
            "      Successfully uninstalled Keras-Preprocessing-1.1.2\n",
            "  Found existing installation: scipy 1.4.1\n",
            "    Uninstalling scipy-1.4.1:\n",
            "      Successfully uninstalled scipy-1.4.1\n",
            "  Found existing installation: PyYAML 3.13\n",
            "    Uninstalling PyYAML-3.13:\n",
            "      Successfully uninstalled PyYAML-3.13\n",
            "  Found existing installation: Keras 2.3.1\n",
            "    Uninstalling Keras-2.3.1:\n",
            "      Successfully uninstalled Keras-2.3.1\n",
            "  Found existing installation: kiwisolver 1.2.0\n",
            "    Uninstalling kiwisolver-1.2.0:\n",
            "      Successfully uninstalled kiwisolver-1.2.0\n",
            "  Found existing installation: Markdown 3.2.2\n",
            "    Uninstalling Markdown-3.2.2:\n",
            "      Successfully uninstalled Markdown-3.2.2\n",
            "  Found existing installation: pyparsing 2.4.7\n",
            "    Uninstalling pyparsing-2.4.7:\n",
            "      Successfully uninstalled pyparsing-2.4.7\n",
            "  Found existing installation: matplotlib 3.2.2\n",
            "    Uninstalling matplotlib-3.2.2:\n",
            "      Successfully uninstalled matplotlib-3.2.2\n",
            "  Found existing installation: opencv-python 4.1.2.30\n",
            "    Uninstalling opencv-python-4.1.2.30:\n",
            "      Successfully uninstalled opencv-python-4.1.2.30\n",
            "  Found existing installation: pytz 2018.9\n",
            "    Uninstalling pytz-2018.9:\n",
            "      Successfully uninstalled pytz-2018.9\n",
            "  Found existing installation: pandas 1.0.5\n",
            "    Uninstalling pandas-1.0.5:\n",
            "      Successfully uninstalled pandas-1.0.5\n",
            "  Found existing installation: Pillow 7.0.0\n",
            "    Uninstalling Pillow-7.0.0:\n",
            "      Successfully uninstalled Pillow-7.0.0\n",
            "  Found existing installation: protobuf 3.12.2\n",
            "    Uninstalling protobuf-3.12.2:\n",
            "      Successfully uninstalled protobuf-3.12.2\n",
            "  Found existing installation: qtconsole 4.7.5\n",
            "    Uninstalling qtconsole-4.7.5:\n",
            "      Successfully uninstalled qtconsole-4.7.5\n",
            "  Found existing installation: urllib3 1.24.3\n",
            "    Uninstalling urllib3-1.24.3:\n",
            "      Successfully uninstalled urllib3-1.24.3\n",
            "  Found existing installation: requests 2.23.0\n",
            "    Uninstalling requests-2.23.0:\n",
            "      Successfully uninstalled requests-2.23.0\n",
            "  Found existing installation: scikit-learn 0.22.2.post1\n",
            "    Uninstalling scikit-learn-0.22.2.post1:\n",
            "      Successfully uninstalled scikit-learn-0.22.2.post1\n",
            "  Found existing installation: sympy 1.1.1\n",
            "    Uninstalling sympy-1.1.1:\n",
            "      Successfully uninstalled sympy-1.1.1\n",
            "  Found existing installation: Werkzeug 1.0.1\n",
            "    Uninstalling Werkzeug-1.0.1:\n",
            "      Successfully uninstalled Werkzeug-1.0.1\n",
            "  Found existing installation: tensorboard 2.2.2\n",
            "    Uninstalling tensorboard-2.2.2:\n",
            "      Successfully uninstalled tensorboard-2.2.2\n",
            "  Found existing installation: tensorflow-estimator 2.2.0\n",
            "    Uninstalling tensorflow-estimator-2.2.0:\n",
            "      Successfully uninstalled tensorflow-estimator-2.2.0\n",
            "  Found existing installation: wrapt 1.12.1\n",
            "    Uninstalling wrapt-1.12.1:\n",
            "      Successfully uninstalled wrapt-1.12.1\n",
            "  Found existing installation: tensorflow 2.2.0\n",
            "    Uninstalling tensorflow-2.2.0:\n",
            "      Successfully uninstalled tensorflow-2.2.0\n",
            "Successfully installed Jinja2-2.10.1 Keras-2.2.4 Keras-Preprocessing-1.1.0 Markdown-3.1.1 Pillow-6.2.2 PyYAML-5.1.1 Pygments-2.4.2 Werkzeug-0.15.4 absl-py-0.7.1 astor-0.8.0 attrs-19.1.0 backcall-0.1.0 bleach-3.1.4 certifi-2019.6.16 decorator-4.4.0 gast-0.2.2 google-pasta-0.1.7 grpcio-1.22.0 h5py-2.9.0 idna-2.8 ipykernel-5.1.1 ipython-7.6.1 ipywidgets-7.5.0 jedi-0.14.0 joblib-0.13.2 jsonschema-3.0.1 jupyter-client-5.3.0 jupyter-console-6.0.0 jupyter-core-4.5.0 kiwisolver-1.1.0 matplotlib-3.0.3 nbconvert-5.5.0 nbformat-4.4.0 notebook-5.7.8 numpy-1.16.4 opencv-python-4.1.0.25 pandas-0.24.2 parso-0.5.0 pexpect-4.7.0 progressbar2-3.46.1 prometheus-client-0.7.1 prompt-toolkit-2.0.9 protobuf-3.8.0 pyparsing-2.4.0 pyrsistent-0.15.3 python-dateutil-2.8.0 pytz-2019.1 pyzmq-18.0.2 qtconsole-4.5.1 requests-2.22.0 scikit-learn-0.21.2 scipy-1.3.0 six-1.12.0 sympy-1.4 tensorboard-1.15.0 tensorflow-1.15.2 tensorflow-estimator-1.15.0 terminado-0.8.2 testpath-0.4.2 tornado-6.0.3 traitlets-4.3.2 urllib3-1.25.3 wcwidth-0.1.7 widgetsnbextension-3.5.0 wrapt-1.11.2\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "IPython",
                  "PIL",
                  "certifi",
                  "dateutil",
                  "decorator",
                  "google",
                  "grpc",
                  "idna",
                  "ipykernel",
                  "ipywidgets",
                  "jupyter_client",
                  "jupyter_core",
                  "kiwisolver",
                  "matplotlib",
                  "mpl_toolkits",
                  "numpy",
                  "pandas",
                  "pexpect",
                  "prompt_toolkit",
                  "pygments",
                  "pyparsing",
                  "pytz",
                  "requests",
                  "six",
                  "tornado",
                  "traitlets",
                  "urllib3",
                  "wcwidth",
                  "yaml",
                  "zmq"
                ]
              }
            }
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5fDXZrlX8P8G",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 547
        },
        "outputId": "28ec152c-b7cc-4206-f834-d8c38ea7c11e"
      },
      "source": [
        "# to use gpu, we install tensorflow-gpu\n",
        "!pip install tensorflow-gpu==1.15"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting tensorflow-gpu==1.15\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/a5/ad/933140e74973fb917a194ab814785e7c23680ca5dee6d663a509fe9579b6/tensorflow_gpu-1.15.0-cp36-cp36m-manylinux2010_x86_64.whl (411.5MB)\n",
            "\u001b[K     |████████████████████████████████| 411.5MB 40kB/s \n",
            "\u001b[?25hRequirement already satisfied: six>=1.10.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15) (1.12.0)\n",
            "Requirement already satisfied: wrapt>=1.11.1 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15) (1.11.2)\n",
            "Requirement already satisfied: termcolor>=1.1.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15) (1.1.0)\n",
            "Requirement already satisfied: wheel>=0.26 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15) (0.34.2)\n",
            "Requirement already satisfied: google-pasta>=0.1.6 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15) (0.1.7)\n",
            "Requirement already satisfied: astor>=0.6.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15) (0.8.0)\n",
            "Requirement already satisfied: protobuf>=3.6.1 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15) (3.8.0)\n",
            "Requirement already satisfied: numpy<2.0,>=1.16.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15) (1.16.4)\n",
            "Requirement already satisfied: tensorboard<1.16.0,>=1.15.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15) (1.15.0)\n",
            "Requirement already satisfied: opt-einsum>=2.3.2 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15) (3.3.0)\n",
            "Requirement already satisfied: gast==0.2.2 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15) (0.2.2)\n",
            "Requirement already satisfied: keras-applications>=1.0.8 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15) (1.0.8)\n",
            "Requirement already satisfied: absl-py>=0.7.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15) (0.7.1)\n",
            "Requirement already satisfied: keras-preprocessing>=1.0.5 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15) (1.1.0)\n",
            "Requirement already satisfied: grpcio>=1.8.6 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15) (1.22.0)\n",
            "Collecting tensorflow-estimator==1.15.1\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/de/62/2ee9cd74c9fa2fa450877847ba560b260f5d0fb70ee0595203082dafcc9d/tensorflow_estimator-1.15.1-py2.py3-none-any.whl (503kB)\n",
            "\u001b[K     |████████████████████████████████| 512kB 24.2MB/s \n",
            "\u001b[?25hRequirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from protobuf>=3.6.1->tensorflow-gpu==1.15) (49.1.0)\n",
            "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.6/dist-packages (from tensorboard<1.16.0,>=1.15.0->tensorflow-gpu==1.15) (3.1.1)\n",
            "Requirement already satisfied: werkzeug>=0.11.15 in /usr/local/lib/python3.6/dist-packages (from tensorboard<1.16.0,>=1.15.0->tensorflow-gpu==1.15) (0.15.4)\n",
            "Requirement already satisfied: h5py in /usr/local/lib/python3.6/dist-packages (from keras-applications>=1.0.8->tensorflow-gpu==1.15) (2.9.0)\n",
            "Installing collected packages: tensorflow-estimator, tensorflow-gpu\n",
            "  Found existing installation: tensorflow-estimator 1.15.0\n",
            "    Uninstalling tensorflow-estimator-1.15.0:\n",
            "      Successfully uninstalled tensorflow-estimator-1.15.0\n",
            "Successfully installed tensorflow-estimator-1.15.1 tensorflow-gpu-1.15.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "14GuPKfiemPO",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# labels to detect\n",
        "labels_detect = ['cube']\n",
        "f = open(\"data/labels.names\", \"w+\")\n",
        "for lab in labels_detect:\n",
        "    f.write(f\"{lab}\\n\")\n",
        "f.close()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hvcL8iDCe01F",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# this will generate data/data_train.txt\n",
        "# data_train.txt contains the bounding boxes data in the following format \n",
        "# path to image xmin ymin xmax ymax class\n",
        "from xml.etree import ElementTree as et\n",
        "import os\n",
        "\n",
        "parent_dir = \"data\"\n",
        "label_dir = os.path.join(parent_dir, \"labels\")\n",
        "\n",
        "f = open(\"data/data_train.txt\", \"w+\")\n",
        "\n",
        "for labfile in os.listdir(label_dir):\n",
        "    if labfile[0] != '.':\n",
        "        filename, _ = labfile.split('.')\n",
        "        tree = et.parse(os.path.join(label_dir, labfile))\n",
        "        root = tree.getroot()\n",
        "        for member in root.findall('object'):\n",
        "                    xmin = int(member[4][0].text)\n",
        "                    ymin = int(member[4][1].text)\n",
        "                    xmax = int(member[4][2].text)\n",
        "                    ymax = int(member[4][3].text)\n",
        "                    code = labels_detect.index(member[0].text)\n",
        "                    plug_str = f\"/content/{os.path.join(parent_dir, 'images', filename+'.jpg')}\"\n",
        "                    plug_str += f\" {xmin},{ymin},{xmax},{ymax},{code}\\n\"\n",
        "                    f.write(plug_str)\n",
        "\n",
        "f.close()\n",
        "\n",
        "                \n",
        "    "
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BpvPzePYydOu",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# changing directory to training ===> EXECUTE ONLY ONCE\n",
        "%cd TrainYourOwnYOLO/2_Training"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6m4DuM3nheLJ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "155881e3-fdbb-4c77-cb54-0d60b95aad58"
      },
      "source": [
        "# downloading and converting weights. \n",
        "!python Download_and_Convert_YOLO_weights.py "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/TrainYourOwnYOLO/2_Training\n",
            " 99% (2480043 of 2480070) |############## | Elapsed Time: 0:12:52 ETA:   0:00:00Using TensorFlow backend.\n",
            "Loading weights.\n",
            "Weights Header:  0 2 0 [32013312]\n",
            "Parsing Darknet config.\n",
            "Creating Keras model.\n",
            "WARNING: Logging before flag parsing goes to stderr.\n",
            "W0729 12:54:38.748131 140339043231616 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:74: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.\n",
            "\n",
            "W0729 12:54:38.749073 140339043231616 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.\n",
            "\n",
            "Parsing section net_0\n",
            "Parsing section convolutional_0\n",
            "conv2d bn leaky (3, 3, 3, 32)\n",
            "W0729 12:54:38.751935 140339043231616 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.\n",
            "\n",
            "W0729 12:54:38.765279 140339043231616 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.\n",
            "\n",
            "W0729 12:54:38.765473 140339043231616 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:181: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.\n",
            "\n",
            "W0729 12:54:38.765648 140339043231616 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:186: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.\n",
            "\n",
            "2020-07-29 12:54:38.766111: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n",
            "2020-07-29 12:54:38.771504: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2300000000 Hz\n",
            "2020-07-29 12:54:38.771727: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1a2f480 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n",
            "2020-07-29 12:54:38.771763: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version\n",
            "2020-07-29 12:54:38.773906: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1\n",
            "2020-07-29 12:54:38.924106: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2020-07-29 12:54:38.924956: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x56b6300 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n",
            "2020-07-29 12:54:38.924990: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Tesla K80, Compute Capability 3.7\n",
            "2020-07-29 12:54:38.926399: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2020-07-29 12:54:38.927138: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: \n",
            "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n",
            "pciBusID: 0000:00:04.0\n",
            "2020-07-29 12:54:38.948197: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-07-29 12:54:39.159263: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-07-29 12:54:39.280240: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-07-29 12:54:39.325512: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-07-29 12:54:39.557088: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-07-29 12:54:39.708327: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-07-29 12:54:40.274369: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-07-29 12:54:40.274586: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2020-07-29 12:54:40.275437: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2020-07-29 12:54:40.276187: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-07-29 12:54:40.276355: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-07-29 12:54:40.277945: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2020-07-29 12:54:40.277981: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2020-07-29 12:54:40.277999: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2020-07-29 12:54:40.278196: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2020-07-29 12:54:40.279070: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2020-07-29 12:54:40.279830: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:39] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.\n",
            "2020-07-29 12:54:40.279964: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10805 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 0000:00:04.0, compute capability: 3.7)\n",
            "W0729 12:54:40.281092 140339043231616 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.\n",
            "\n",
            "W0729 12:54:40.281432 140339043231616 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.\n",
            "\n",
            "W0729 12:54:40.292683 140339043231616 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.\n",
            "\n",
            "W0729 12:54:40.792569 140339043231616 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead.\n",
            "\n",
            "W0729 12:54:40.846532 140339043231616 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:133: The name tf.placeholder_with_default is deprecated. Please use tf.compat.v1.placeholder_with_default instead.\n",
            "\n",
            "Parsing section convolutional_1\n",
            "conv2d bn leaky (3, 3, 32, 64)\n",
            "Parsing section convolutional_2\n",
            "conv2d bn leaky (1, 1, 64, 32)\n",
            "Parsing section convolutional_3\n",
            "conv2d bn leaky (3, 3, 32, 64)\n",
            "Parsing section shortcut_0\n",
            "Parsing section convolutional_4\n",
            "conv2d bn leaky (3, 3, 64, 128)\n",
            "Parsing section convolutional_5\n",
            "conv2d bn leaky (1, 1, 128, 64)\n",
            "Parsing section convolutional_6\n",
            "conv2d bn leaky (3, 3, 64, 128)\n",
            "Parsing section shortcut_1\n",
            "Parsing section convolutional_7\n",
            "conv2d bn leaky (1, 1, 128, 64)\n",
            "Parsing section convolutional_8\n",
            "conv2d bn leaky (3, 3, 64, 128)\n",
            "Parsing section shortcut_2\n",
            "Parsing section convolutional_9\n",
            "conv2d bn leaky (3, 3, 128, 256)\n",
            "Parsing section convolutional_10\n",
            "conv2d bn leaky (1, 1, 256, 128)\n",
            "Parsing section convolutional_11\n",
            "conv2d bn leaky (3, 3, 128, 256)\n",
            "Parsing section shortcut_3\n",
            "Parsing section convolutional_12\n",
            "conv2d bn leaky (1, 1, 256, 128)\n",
            "Parsing section convolutional_13\n",
            "conv2d bn leaky (3, 3, 128, 256)\n",
            "Parsing section shortcut_4\n",
            "Parsing section convolutional_14\n",
            "conv2d bn leaky (1, 1, 256, 128)\n",
            "Parsing section convolutional_15\n",
            "conv2d bn leaky (3, 3, 128, 256)\n",
            "Parsing section shortcut_5\n",
            "Parsing section convolutional_16\n",
            "conv2d bn leaky (1, 1, 256, 128)\n",
            "Parsing section convolutional_17\n",
            "conv2d bn leaky (3, 3, 128, 256)\n",
            "Parsing section shortcut_6\n",
            "Parsing section convolutional_18\n",
            "conv2d bn leaky (1, 1, 256, 128)\n",
            "Parsing section convolutional_19\n",
            "conv2d bn leaky (3, 3, 128, 256)\n",
            "Parsing section shortcut_7\n",
            "Parsing section convolutional_20\n",
            "conv2d bn leaky (1, 1, 256, 128)\n",
            "Parsing section convolutional_21\n",
            "conv2d bn leaky (3, 3, 128, 256)\n",
            "Parsing section shortcut_8\n",
            "Parsing section convolutional_22\n",
            "conv2d bn leaky (1, 1, 256, 128)\n",
            "Parsing section convolutional_23\n",
            "conv2d bn leaky (3, 3, 128, 256)\n",
            "Parsing section shortcut_9\n",
            "Parsing section convolutional_24\n",
            "conv2d bn leaky (1, 1, 256, 128)\n",
            "Parsing section convolutional_25\n",
            "conv2d bn leaky (3, 3, 128, 256)\n",
            "Parsing section shortcut_10\n",
            "Parsing section convolutional_26\n",
            "conv2d bn leaky (3, 3, 256, 512)\n",
            "Parsing section convolutional_27\n",
            "conv2d bn leaky (1, 1, 512, 256)\n",
            "Parsing section convolutional_28\n",
            "conv2d bn leaky (3, 3, 256, 512)\n",
            "Parsing section shortcut_11\n",
            "Parsing section convolutional_29\n",
            "conv2d bn leaky (1, 1, 512, 256)\n",
            "Parsing section convolutional_30\n",
            "conv2d bn leaky (3, 3, 256, 512)\n",
            "Parsing section shortcut_12\n",
            "Parsing section convolutional_31\n",
            "conv2d bn leaky (1, 1, 512, 256)\n",
            "Parsing section convolutional_32\n",
            "conv2d bn leaky (3, 3, 256, 512)\n",
            "Parsing section shortcut_13\n",
            "Parsing section convolutional_33\n",
            "conv2d bn leaky (1, 1, 512, 256)\n",
            "Parsing section convolutional_34\n",
            "conv2d bn leaky (3, 3, 256, 512)\n",
            "Parsing section shortcut_14\n",
            "Parsing section convolutional_35\n",
            "conv2d bn leaky (1, 1, 512, 256)\n",
            "Parsing section convolutional_36\n",
            "conv2d bn leaky (3, 3, 256, 512)\n",
            "Parsing section shortcut_15\n",
            "Parsing section convolutional_37\n",
            "conv2d bn leaky (1, 1, 512, 256)\n",
            "Parsing section convolutional_38\n",
            "conv2d bn leaky (3, 3, 256, 512)\n",
            "Parsing section shortcut_16\n",
            "Parsing section convolutional_39\n",
            "conv2d bn leaky (1, 1, 512, 256)\n",
            "Parsing section convolutional_40\n",
            "conv2d bn leaky (3, 3, 256, 512)\n",
            "Parsing section shortcut_17\n",
            "Parsing section convolutional_41\n",
            "conv2d bn leaky (1, 1, 512, 256)\n",
            "Parsing section convolutional_42\n",
            "conv2d bn leaky (3, 3, 256, 512)\n",
            "Parsing section shortcut_18\n",
            "Parsing section convolutional_43\n",
            "conv2d bn leaky (3, 3, 512, 1024)\n",
            "Parsing section convolutional_44\n",
            "conv2d bn leaky (1, 1, 1024, 512)\n",
            "Parsing section convolutional_45\n",
            "conv2d bn leaky (3, 3, 512, 1024)\n",
            "Parsing section shortcut_19\n",
            "Parsing section convolutional_46\n",
            "conv2d bn leaky (1, 1, 1024, 512)\n",
            "Parsing section convolutional_47\n",
            "conv2d bn leaky (3, 3, 512, 1024)\n",
            "Parsing section shortcut_20\n",
            "Parsing section convolutional_48\n",
            "conv2d bn leaky (1, 1, 1024, 512)\n",
            "Parsing section convolutional_49\n",
            "conv2d bn leaky (3, 3, 512, 1024)\n",
            "Parsing section shortcut_21\n",
            "Parsing section convolutional_50\n",
            "conv2d bn leaky (1, 1, 1024, 512)\n",
            "Parsing section convolutional_51\n",
            "conv2d bn leaky (3, 3, 512, 1024)\n",
            "Parsing section shortcut_22\n",
            "Parsing section convolutional_52\n",
            "conv2d bn leaky (1, 1, 1024, 512)\n",
            "Parsing section convolutional_53\n",
            "conv2d bn leaky (3, 3, 512, 1024)\n",
            "Parsing section convolutional_54\n",
            "conv2d bn leaky (1, 1, 1024, 512)\n",
            "Parsing section convolutional_55\n",
            "conv2d bn leaky (3, 3, 512, 1024)\n",
            "Parsing section convolutional_56\n",
            "conv2d bn leaky (1, 1, 1024, 512)\n",
            "Parsing section convolutional_57\n",
            "conv2d bn leaky (3, 3, 512, 1024)\n",
            "Parsing section convolutional_58\n",
            "conv2d    linear (1, 1, 1024, 255)\n",
            "Parsing section yolo_0\n",
            "Parsing section route_0\n",
            "Parsing section convolutional_59\n",
            "conv2d bn leaky (1, 1, 512, 256)\n",
            "Parsing section upsample_0\n",
            "W0729 12:55:44.648966 140339043231616 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:2018: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead.\n",
            "\n",
            "Parsing section route_1\n",
            "Concatenating route layers: [<tf.Tensor 'up_sampling2d_1/ResizeNearestNeighbor:0' shape=(?, ?, ?, 256) dtype=float32>, <tf.Tensor 'add_19/add:0' shape=(?, ?, ?, 512) dtype=float32>]\n",
            "Parsing section convolutional_60\n",
            "conv2d bn leaky (1, 1, 768, 256)\n",
            "Parsing section convolutional_61\n",
            "conv2d bn leaky (3, 3, 256, 512)\n",
            "Parsing section convolutional_62\n",
            "conv2d bn leaky (1, 1, 512, 256)\n",
            "Parsing section convolutional_63\n",
            "conv2d bn leaky (3, 3, 256, 512)\n",
            "Parsing section convolutional_64\n",
            "conv2d bn leaky (1, 1, 512, 256)\n",
            "Parsing section convolutional_65\n",
            "conv2d bn leaky (3, 3, 256, 512)\n",
            "Parsing section convolutional_66\n",
            "conv2d    linear (1, 1, 512, 255)\n",
            "Parsing section yolo_1\n",
            "Parsing section route_2\n",
            "Parsing section convolutional_67\n",
            "conv2d bn leaky (1, 1, 256, 128)\n",
            "Parsing section upsample_1\n",
            "Parsing section route_3\n",
            "Concatenating route layers: [<tf.Tensor 'up_sampling2d_2/ResizeNearestNeighbor:0' shape=(?, ?, ?, 128) dtype=float32>, <tf.Tensor 'add_11/add:0' shape=(?, ?, ?, 256) dtype=float32>]\n",
            "Parsing section convolutional_68\n",
            "conv2d bn leaky (1, 1, 384, 128)\n",
            "Parsing section convolutional_69\n",
            "conv2d bn leaky (3, 3, 128, 256)\n",
            "Parsing section convolutional_70\n",
            "conv2d bn leaky (1, 1, 256, 128)\n",
            "Parsing section convolutional_71\n",
            "conv2d bn leaky (3, 3, 128, 256)\n",
            "Parsing section convolutional_72\n",
            "conv2d bn leaky (1, 1, 256, 128)\n",
            "Parsing section convolutional_73\n",
            "conv2d bn leaky (3, 3, 128, 256)\n",
            "Parsing section convolutional_74\n",
            "conv2d    linear (1, 1, 256, 255)\n",
            "Parsing section yolo_2\n",
            "__________________________________________________________________________________________________\n",
            "Layer (type)                    Output Shape         Param #     Connected to                     \n",
            "==================================================================================================\n",
            "input_1 (InputLayer)            (None, None, None, 3 0                                            \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_1 (Conv2D)               (None, None, None, 3 864         input_1[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_1 (BatchNor (None, None, None, 3 128         conv2d_1[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_1 (LeakyReLU)       (None, None, None, 3 0           batch_normalization_1[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "zero_padding2d_1 (ZeroPadding2D (None, None, None, 3 0           leaky_re_lu_1[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_2 (Conv2D)               (None, None, None, 6 18432       zero_padding2d_1[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_2 (BatchNor (None, None, None, 6 256         conv2d_2[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_2 (LeakyReLU)       (None, None, None, 6 0           batch_normalization_2[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_3 (Conv2D)               (None, None, None, 3 2048        leaky_re_lu_2[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_3 (BatchNor (None, None, None, 3 128         conv2d_3[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_3 (LeakyReLU)       (None, None, None, 3 0           batch_normalization_3[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_4 (Conv2D)               (None, None, None, 6 18432       leaky_re_lu_3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_4 (BatchNor (None, None, None, 6 256         conv2d_4[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_4 (LeakyReLU)       (None, None, None, 6 0           batch_normalization_4[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "add_1 (Add)                     (None, None, None, 6 0           leaky_re_lu_2[0][0]              \n",
            "                                                                 leaky_re_lu_4[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "zero_padding2d_2 (ZeroPadding2D (None, None, None, 6 0           add_1[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_5 (Conv2D)               (None, None, None, 1 73728       zero_padding2d_2[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_5 (BatchNor (None, None, None, 1 512         conv2d_5[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_5 (LeakyReLU)       (None, None, None, 1 0           batch_normalization_5[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_6 (Conv2D)               (None, None, None, 6 8192        leaky_re_lu_5[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_6 (BatchNor (None, None, None, 6 256         conv2d_6[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_6 (LeakyReLU)       (None, None, None, 6 0           batch_normalization_6[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_7 (Conv2D)               (None, None, None, 1 73728       leaky_re_lu_6[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_7 (BatchNor (None, None, None, 1 512         conv2d_7[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_7 (LeakyReLU)       (None, None, None, 1 0           batch_normalization_7[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "add_2 (Add)                     (None, None, None, 1 0           leaky_re_lu_5[0][0]              \n",
            "                                                                 leaky_re_lu_7[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_8 (Conv2D)               (None, None, None, 6 8192        add_2[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_8 (BatchNor (None, None, None, 6 256         conv2d_8[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_8 (LeakyReLU)       (None, None, None, 6 0           batch_normalization_8[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_9 (Conv2D)               (None, None, None, 1 73728       leaky_re_lu_8[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_9 (BatchNor (None, None, None, 1 512         conv2d_9[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_9 (LeakyReLU)       (None, None, None, 1 0           batch_normalization_9[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "add_3 (Add)                     (None, None, None, 1 0           add_2[0][0]                      \n",
            "                                                                 leaky_re_lu_9[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "zero_padding2d_3 (ZeroPadding2D (None, None, None, 1 0           add_3[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_10 (Conv2D)              (None, None, None, 2 294912      zero_padding2d_3[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_10 (BatchNo (None, None, None, 2 1024        conv2d_10[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_10 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_10[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_11 (Conv2D)              (None, None, None, 1 32768       leaky_re_lu_10[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_11 (BatchNo (None, None, None, 1 512         conv2d_11[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_11 (LeakyReLU)      (None, None, None, 1 0           batch_normalization_11[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_12 (Conv2D)              (None, None, None, 2 294912      leaky_re_lu_11[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_12 (BatchNo (None, None, None, 2 1024        conv2d_12[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_12 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_12[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "add_4 (Add)                     (None, None, None, 2 0           leaky_re_lu_10[0][0]             \n",
            "                                                                 leaky_re_lu_12[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_13 (Conv2D)              (None, None, None, 1 32768       add_4[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_13 (BatchNo (None, None, None, 1 512         conv2d_13[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_13 (LeakyReLU)      (None, None, None, 1 0           batch_normalization_13[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_14 (Conv2D)              (None, None, None, 2 294912      leaky_re_lu_13[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_14 (BatchNo (None, None, None, 2 1024        conv2d_14[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_14 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_14[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "add_5 (Add)                     (None, None, None, 2 0           add_4[0][0]                      \n",
            "                                                                 leaky_re_lu_14[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_15 (Conv2D)              (None, None, None, 1 32768       add_5[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_15 (BatchNo (None, None, None, 1 512         conv2d_15[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_15 (LeakyReLU)      (None, None, None, 1 0           batch_normalization_15[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_16 (Conv2D)              (None, None, None, 2 294912      leaky_re_lu_15[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_16 (BatchNo (None, None, None, 2 1024        conv2d_16[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_16 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_16[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "add_6 (Add)                     (None, None, None, 2 0           add_5[0][0]                      \n",
            "                                                                 leaky_re_lu_16[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_17 (Conv2D)              (None, None, None, 1 32768       add_6[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_17 (BatchNo (None, None, None, 1 512         conv2d_17[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_17 (LeakyReLU)      (None, None, None, 1 0           batch_normalization_17[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_18 (Conv2D)              (None, None, None, 2 294912      leaky_re_lu_17[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_18 (BatchNo (None, None, None, 2 1024        conv2d_18[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_18 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_18[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "add_7 (Add)                     (None, None, None, 2 0           add_6[0][0]                      \n",
            "                                                                 leaky_re_lu_18[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_19 (Conv2D)              (None, None, None, 1 32768       add_7[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_19 (BatchNo (None, None, None, 1 512         conv2d_19[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_19 (LeakyReLU)      (None, None, None, 1 0           batch_normalization_19[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_20 (Conv2D)              (None, None, None, 2 294912      leaky_re_lu_19[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_20 (BatchNo (None, None, None, 2 1024        conv2d_20[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_20 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_20[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "add_8 (Add)                     (None, None, None, 2 0           add_7[0][0]                      \n",
            "                                                                 leaky_re_lu_20[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_21 (Conv2D)              (None, None, None, 1 32768       add_8[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_21 (BatchNo (None, None, None, 1 512         conv2d_21[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_21 (LeakyReLU)      (None, None, None, 1 0           batch_normalization_21[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_22 (Conv2D)              (None, None, None, 2 294912      leaky_re_lu_21[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_22 (BatchNo (None, None, None, 2 1024        conv2d_22[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_22 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_22[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "add_9 (Add)                     (None, None, None, 2 0           add_8[0][0]                      \n",
            "                                                                 leaky_re_lu_22[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_23 (Conv2D)              (None, None, None, 1 32768       add_9[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_23 (BatchNo (None, None, None, 1 512         conv2d_23[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_23 (LeakyReLU)      (None, None, None, 1 0           batch_normalization_23[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_24 (Conv2D)              (None, None, None, 2 294912      leaky_re_lu_23[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_24 (BatchNo (None, None, None, 2 1024        conv2d_24[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_24 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_24[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "add_10 (Add)                    (None, None, None, 2 0           add_9[0][0]                      \n",
            "                                                                 leaky_re_lu_24[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_25 (Conv2D)              (None, None, None, 1 32768       add_10[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_25 (BatchNo (None, None, None, 1 512         conv2d_25[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_25 (LeakyReLU)      (None, None, None, 1 0           batch_normalization_25[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_26 (Conv2D)              (None, None, None, 2 294912      leaky_re_lu_25[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_26 (BatchNo (None, None, None, 2 1024        conv2d_26[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_26 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_26[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "add_11 (Add)                    (None, None, None, 2 0           add_10[0][0]                     \n",
            "                                                                 leaky_re_lu_26[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "zero_padding2d_4 (ZeroPadding2D (None, None, None, 2 0           add_11[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_27 (Conv2D)              (None, None, None, 5 1179648     zero_padding2d_4[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_27 (BatchNo (None, None, None, 5 2048        conv2d_27[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_27 (LeakyReLU)      (None, None, None, 5 0           batch_normalization_27[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_28 (Conv2D)              (None, None, None, 2 131072      leaky_re_lu_27[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_28 (BatchNo (None, None, None, 2 1024        conv2d_28[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_28 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_28[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_29 (Conv2D)              (None, None, None, 5 1179648     leaky_re_lu_28[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_29 (BatchNo (None, None, None, 5 2048        conv2d_29[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_29 (LeakyReLU)      (None, None, None, 5 0           batch_normalization_29[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "add_12 (Add)                    (None, None, None, 5 0           leaky_re_lu_27[0][0]             \n",
            "                                                                 leaky_re_lu_29[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_30 (Conv2D)              (None, None, None, 2 131072      add_12[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_30 (BatchNo (None, None, None, 2 1024        conv2d_30[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_30 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_30[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_31 (Conv2D)              (None, None, None, 5 1179648     leaky_re_lu_30[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_31 (BatchNo (None, None, None, 5 2048        conv2d_31[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_31 (LeakyReLU)      (None, None, None, 5 0           batch_normalization_31[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "add_13 (Add)                    (None, None, None, 5 0           add_12[0][0]                     \n",
            "                                                                 leaky_re_lu_31[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_32 (Conv2D)              (None, None, None, 2 131072      add_13[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_32 (BatchNo (None, None, None, 2 1024        conv2d_32[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_32 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_32[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_33 (Conv2D)              (None, None, None, 5 1179648     leaky_re_lu_32[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_33 (BatchNo (None, None, None, 5 2048        conv2d_33[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_33 (LeakyReLU)      (None, None, None, 5 0           batch_normalization_33[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "add_14 (Add)                    (None, None, None, 5 0           add_13[0][0]                     \n",
            "                                                                 leaky_re_lu_33[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_34 (Conv2D)              (None, None, None, 2 131072      add_14[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_34 (BatchNo (None, None, None, 2 1024        conv2d_34[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_34 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_34[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_35 (Conv2D)              (None, None, None, 5 1179648     leaky_re_lu_34[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_35 (BatchNo (None, None, None, 5 2048        conv2d_35[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_35 (LeakyReLU)      (None, None, None, 5 0           batch_normalization_35[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "add_15 (Add)                    (None, None, None, 5 0           add_14[0][0]                     \n",
            "                                                                 leaky_re_lu_35[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_36 (Conv2D)              (None, None, None, 2 131072      add_15[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_36 (BatchNo (None, None, None, 2 1024        conv2d_36[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_36 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_36[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_37 (Conv2D)              (None, None, None, 5 1179648     leaky_re_lu_36[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_37 (BatchNo (None, None, None, 5 2048        conv2d_37[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_37 (LeakyReLU)      (None, None, None, 5 0           batch_normalization_37[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "add_16 (Add)                    (None, None, None, 5 0           add_15[0][0]                     \n",
            "                                                                 leaky_re_lu_37[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_38 (Conv2D)              (None, None, None, 2 131072      add_16[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_38 (BatchNo (None, None, None, 2 1024        conv2d_38[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_38 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_38[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_39 (Conv2D)              (None, None, None, 5 1179648     leaky_re_lu_38[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_39 (BatchNo (None, None, None, 5 2048        conv2d_39[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_39 (LeakyReLU)      (None, None, None, 5 0           batch_normalization_39[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "add_17 (Add)                    (None, None, None, 5 0           add_16[0][0]                     \n",
            "                                                                 leaky_re_lu_39[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_40 (Conv2D)              (None, None, None, 2 131072      add_17[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_40 (BatchNo (None, None, None, 2 1024        conv2d_40[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_40 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_40[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_41 (Conv2D)              (None, None, None, 5 1179648     leaky_re_lu_40[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_41 (BatchNo (None, None, None, 5 2048        conv2d_41[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_41 (LeakyReLU)      (None, None, None, 5 0           batch_normalization_41[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "add_18 (Add)                    (None, None, None, 5 0           add_17[0][0]                     \n",
            "                                                                 leaky_re_lu_41[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_42 (Conv2D)              (None, None, None, 2 131072      add_18[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_42 (BatchNo (None, None, None, 2 1024        conv2d_42[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_42 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_42[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_43 (Conv2D)              (None, None, None, 5 1179648     leaky_re_lu_42[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_43 (BatchNo (None, None, None, 5 2048        conv2d_43[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_43 (LeakyReLU)      (None, None, None, 5 0           batch_normalization_43[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "add_19 (Add)                    (None, None, None, 5 0           add_18[0][0]                     \n",
            "                                                                 leaky_re_lu_43[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "zero_padding2d_5 (ZeroPadding2D (None, None, None, 5 0           add_19[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_44 (Conv2D)              (None, None, None, 1 4718592     zero_padding2d_5[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_44 (BatchNo (None, None, None, 1 4096        conv2d_44[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_44 (LeakyReLU)      (None, None, None, 1 0           batch_normalization_44[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_45 (Conv2D)              (None, None, None, 5 524288      leaky_re_lu_44[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_45 (BatchNo (None, None, None, 5 2048        conv2d_45[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_45 (LeakyReLU)      (None, None, None, 5 0           batch_normalization_45[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_46 (Conv2D)              (None, None, None, 1 4718592     leaky_re_lu_45[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_46 (BatchNo (None, None, None, 1 4096        conv2d_46[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_46 (LeakyReLU)      (None, None, None, 1 0           batch_normalization_46[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "add_20 (Add)                    (None, None, None, 1 0           leaky_re_lu_44[0][0]             \n",
            "                                                                 leaky_re_lu_46[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_47 (Conv2D)              (None, None, None, 5 524288      add_20[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_47 (BatchNo (None, None, None, 5 2048        conv2d_47[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_47 (LeakyReLU)      (None, None, None, 5 0           batch_normalization_47[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_48 (Conv2D)              (None, None, None, 1 4718592     leaky_re_lu_47[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_48 (BatchNo (None, None, None, 1 4096        conv2d_48[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_48 (LeakyReLU)      (None, None, None, 1 0           batch_normalization_48[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "add_21 (Add)                    (None, None, None, 1 0           add_20[0][0]                     \n",
            "                                                                 leaky_re_lu_48[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_49 (Conv2D)              (None, None, None, 5 524288      add_21[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_49 (BatchNo (None, None, None, 5 2048        conv2d_49[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_49 (LeakyReLU)      (None, None, None, 5 0           batch_normalization_49[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_50 (Conv2D)              (None, None, None, 1 4718592     leaky_re_lu_49[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_50 (BatchNo (None, None, None, 1 4096        conv2d_50[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_50 (LeakyReLU)      (None, None, None, 1 0           batch_normalization_50[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "add_22 (Add)                    (None, None, None, 1 0           add_21[0][0]                     \n",
            "                                                                 leaky_re_lu_50[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_51 (Conv2D)              (None, None, None, 5 524288      add_22[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_51 (BatchNo (None, None, None, 5 2048        conv2d_51[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_51 (LeakyReLU)      (None, None, None, 5 0           batch_normalization_51[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_52 (Conv2D)              (None, None, None, 1 4718592     leaky_re_lu_51[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_52 (BatchNo (None, None, None, 1 4096        conv2d_52[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_52 (LeakyReLU)      (None, None, None, 1 0           batch_normalization_52[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "add_23 (Add)                    (None, None, None, 1 0           add_22[0][0]                     \n",
            "                                                                 leaky_re_lu_52[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_53 (Conv2D)              (None, None, None, 5 524288      add_23[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_53 (BatchNo (None, None, None, 5 2048        conv2d_53[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_53 (LeakyReLU)      (None, None, None, 5 0           batch_normalization_53[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_54 (Conv2D)              (None, None, None, 1 4718592     leaky_re_lu_53[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_54 (BatchNo (None, None, None, 1 4096        conv2d_54[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_54 (LeakyReLU)      (None, None, None, 1 0           batch_normalization_54[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_55 (Conv2D)              (None, None, None, 5 524288      leaky_re_lu_54[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_55 (BatchNo (None, None, None, 5 2048        conv2d_55[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_55 (LeakyReLU)      (None, None, None, 5 0           batch_normalization_55[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_56 (Conv2D)              (None, None, None, 1 4718592     leaky_re_lu_55[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_56 (BatchNo (None, None, None, 1 4096        conv2d_56[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_56 (LeakyReLU)      (None, None, None, 1 0           batch_normalization_56[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_57 (Conv2D)              (None, None, None, 5 524288      leaky_re_lu_56[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_57 (BatchNo (None, None, None, 5 2048        conv2d_57[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_57 (LeakyReLU)      (None, None, None, 5 0           batch_normalization_57[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_60 (Conv2D)              (None, None, None, 2 131072      leaky_re_lu_57[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_59 (BatchNo (None, None, None, 2 1024        conv2d_60[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_59 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_59[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "up_sampling2d_1 (UpSampling2D)  (None, None, None, 2 0           leaky_re_lu_59[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "concatenate_1 (Concatenate)     (None, None, None, 7 0           up_sampling2d_1[0][0]            \n",
            "                                                                 add_19[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_61 (Conv2D)              (None, None, None, 2 196608      concatenate_1[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_60 (BatchNo (None, None, None, 2 1024        conv2d_61[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_60 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_60[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_62 (Conv2D)              (None, None, None, 5 1179648     leaky_re_lu_60[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_61 (BatchNo (None, None, None, 5 2048        conv2d_62[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_61 (LeakyReLU)      (None, None, None, 5 0           batch_normalization_61[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_63 (Conv2D)              (None, None, None, 2 131072      leaky_re_lu_61[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_62 (BatchNo (None, None, None, 2 1024        conv2d_63[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_62 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_62[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_64 (Conv2D)              (None, None, None, 5 1179648     leaky_re_lu_62[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_63 (BatchNo (None, None, None, 5 2048        conv2d_64[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_63 (LeakyReLU)      (None, None, None, 5 0           batch_normalization_63[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_65 (Conv2D)              (None, None, None, 2 131072      leaky_re_lu_63[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_64 (BatchNo (None, None, None, 2 1024        conv2d_65[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_64 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_64[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_68 (Conv2D)              (None, None, None, 1 32768       leaky_re_lu_64[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_66 (BatchNo (None, None, None, 1 512         conv2d_68[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_66 (LeakyReLU)      (None, None, None, 1 0           batch_normalization_66[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "up_sampling2d_2 (UpSampling2D)  (None, None, None, 1 0           leaky_re_lu_66[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "concatenate_2 (Concatenate)     (None, None, None, 3 0           up_sampling2d_2[0][0]            \n",
            "                                                                 add_11[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_69 (Conv2D)              (None, None, None, 1 49152       concatenate_2[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_67 (BatchNo (None, None, None, 1 512         conv2d_69[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_67 (LeakyReLU)      (None, None, None, 1 0           batch_normalization_67[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_70 (Conv2D)              (None, None, None, 2 294912      leaky_re_lu_67[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_68 (BatchNo (None, None, None, 2 1024        conv2d_70[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_68 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_68[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_71 (Conv2D)              (None, None, None, 1 32768       leaky_re_lu_68[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_69 (BatchNo (None, None, None, 1 512         conv2d_71[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_69 (LeakyReLU)      (None, None, None, 1 0           batch_normalization_69[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_72 (Conv2D)              (None, None, None, 2 294912      leaky_re_lu_69[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_70 (BatchNo (None, None, None, 2 1024        conv2d_72[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_70 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_70[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_73 (Conv2D)              (None, None, None, 1 32768       leaky_re_lu_70[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_71 (BatchNo (None, None, None, 1 512         conv2d_73[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_71 (LeakyReLU)      (None, None, None, 1 0           batch_normalization_71[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_58 (Conv2D)              (None, None, None, 1 4718592     leaky_re_lu_57[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_66 (Conv2D)              (None, None, None, 5 1179648     leaky_re_lu_64[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_74 (Conv2D)              (None, None, None, 2 294912      leaky_re_lu_71[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_58 (BatchNo (None, None, None, 1 4096        conv2d_58[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_65 (BatchNo (None, None, None, 5 2048        conv2d_66[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_72 (BatchNo (None, None, None, 2 1024        conv2d_74[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_58 (LeakyReLU)      (None, None, None, 1 0           batch_normalization_58[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_65 (LeakyReLU)      (None, None, None, 5 0           batch_normalization_65[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "leaky_re_lu_72 (LeakyReLU)      (None, None, None, 2 0           batch_normalization_72[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_59 (Conv2D)              (None, None, None, 2 261375      leaky_re_lu_58[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_67 (Conv2D)              (None, None, None, 2 130815      leaky_re_lu_65[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_75 (Conv2D)              (None, None, None, 2 65535       leaky_re_lu_72[0][0]             \n",
            "==================================================================================================\n",
            "Total params: 62,001,757\n",
            "Trainable params: 61,949,149\n",
            "Non-trainable params: 52,608\n",
            "__________________________________________________________________________________________________\n",
            "None\n",
            "Saved Keras model to yolo.h5\n",
            "Read 62001757 of 62001757.0 from Darknet weights.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-Q47jnM4LuPA",
        "colab_type": "text"
      },
      "source": [
        "Commented out the change to other machine code"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7_vqDp-z-6LQ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# adding my tiny anchors\n",
        "f = open(\"/content/TrainYourOwnYOLO/2_Training/src/keras_yolo3/model_data/my_yolo_tiny_anchors.txt\", \"w+\")\n",
        "f.write(\"42,31, 66,51, 79,60, 61,81, 93,70, 108,91\")\n",
        "f.close()\n",
        "\n",
        "# adding my yolo anchors\n",
        "f = open(\"/content/TrainYourOwnYOLO/2_Training/src/keras_yolo3/model_data/my_yolo_anchors.txt\", \"w+\")\n",
        "f.write(\"38,29, 59,46, 53,66, 69,51, 76,57, 65,86, 86,64, 97,75, 114,93\")\n",
        "f.close()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ktd9rqd8py-J",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "990e5e66-3615-490d-cfa0-de209b7c619d"
      },
      "source": [
        "# finally training the model\n",
        "!python Train_YOLO.py --annotation_file ../../data/data_train.txt \\\n",
        "    --classes_file ../../data/labels.names \\\n",
        "    --anchors_path src/keras_yolo3/model_data/yolo-tiny_anchors.txt \\\n",
        "    --is_tiny \n",
        "    "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Using TensorFlow backend.\n",
            "Create Tiny YOLOv3 model with 6 anchors and 1 classes.\n",
            "Load weights /content/TrainYourOwnYOLO/2_Training/src/keras_yolo3/yolo.h5.\n",
            "Freeze the first 42 layers of total 44 layers.\n",
            "Train on 278 samples, val on 30 samples, with batch size 32.\n",
            "Epoch 1/51\n",
            "8/8 [==============================] - 139s 17s/step - loss: 1727.9814 - val_loss: 1730.4142\n",
            "Epoch 2/51\n",
            "8/8 [==============================] - 103s 13s/step - loss: 1037.0182 - val_loss: 1699.0483\n",
            "Epoch 3/51\n",
            "8/8 [==============================] - 87s 11s/step - loss: 658.2024 - val_loss: 1669.5200\n",
            "Epoch 4/51\n",
            "8/8 [==============================] - 88s 11s/step - loss: 459.5277 - val_loss: 1643.3129\n",
            "Epoch 5/51\n",
            "8/8 [==============================] - 86s 11s/step - loss: 338.1005 - val_loss: 1634.1211\n",
            "Epoch 6/51\n",
            "8/8 [==============================] - 87s 11s/step - loss: 266.0928 - val_loss: 1624.8204\n",
            "Epoch 7/51\n",
            "8/8 [==============================] - 87s 11s/step - loss: 207.0782 - val_loss: 1613.3932\n",
            "Epoch 8/51\n",
            "8/8 [==============================] - 88s 11s/step - loss: 180.0097 - val_loss: 1607.4103\n",
            "Epoch 9/51\n",
            "8/8 [==============================] - 88s 11s/step - loss: 159.3606 - val_loss: 1593.3867\n",
            "Epoch 10/51\n",
            "8/8 [==============================] - 88s 11s/step - loss: 136.8586 - val_loss: 1596.2084\n",
            "Epoch 11/51\n",
            "8/8 [==============================] - 89s 11s/step - loss: 126.9445 - val_loss: 1589.8698\n",
            "Epoch 12/51\n",
            "8/8 [==============================] - 87s 11s/step - loss: 117.2509 - val_loss: 1571.3257\n",
            "Epoch 13/51\n",
            "8/8 [==============================] - 88s 11s/step - loss: 107.9105 - val_loss: 1578.8582\n",
            "Epoch 14/51\n",
            "8/8 [==============================] - 88s 11s/step - loss: 95.6201 - val_loss: 1573.8474\n",
            "Epoch 15/51\n",
            "8/8 [==============================] - 87s 11s/step - loss: 90.9245 - val_loss: 1557.9430\n",
            "Epoch 16/51\n",
            "8/8 [==============================] - 88s 11s/step - loss: 84.2616 - val_loss: 1574.2041\n",
            "Epoch 17/51\n",
            "8/8 [==============================] - 88s 11s/step - loss: 78.8994 - val_loss: 1559.0175\n",
            "Epoch 18/51\n",
            "8/8 [==============================] - 87s 11s/step - loss: 73.7945 - val_loss: 1559.6439\n",
            "Epoch 19/51\n",
            "8/8 [==============================] - 90s 11s/step - loss: 71.4893 - val_loss: 1539.8784\n",
            "Epoch 20/51\n",
            "8/8 [==============================] - 86s 11s/step - loss: 68.5683 - val_loss: 1559.4469\n",
            "Epoch 21/51\n",
            "8/8 [==============================] - 87s 11s/step - loss: 64.4683 - val_loss: 1553.7295\n",
            "Epoch 22/51\n",
            "8/8 [==============================] - 87s 11s/step - loss: 59.2729 - val_loss: 1557.9591\n",
            "Epoch 23/51\n",
            "8/8 [==============================] - 89s 11s/step - loss: 58.0958 - val_loss: 1545.0342\n",
            "Epoch 24/51\n",
            "8/8 [==============================] - 88s 11s/step - loss: 55.0803 - val_loss: 1545.1942\n",
            "Epoch 25/51\n",
            "8/8 [==============================] - 88s 11s/step - loss: 55.1226 - val_loss: 1542.2760\n",
            "Epoch 26/51\n",
            "8/8 [==============================] - 88s 11s/step - loss: 53.8149 - val_loss: 1540.4791\n",
            "Epoch 27/51\n",
            "8/8 [==============================] - 88s 11s/step - loss: 49.4629 - val_loss: 1543.9010\n",
            "Epoch 28/51\n",
            "8/8 [==============================] - 87s 11s/step - loss: 49.8537 - val_loss: 1539.0699\n",
            "Epoch 29/51\n",
            "8/8 [==============================] - 88s 11s/step - loss: 48.9652 - val_loss: 1541.7010\n",
            "Epoch 30/51\n",
            "8/8 [==============================] - 90s 11s/step - loss: 46.0008 - val_loss: 1541.9397\n",
            "Epoch 31/51\n",
            "8/8 [==============================] - 82s 10s/step - loss: 46.1827 - val_loss: 1530.1323\n",
            "Epoch 32/51\n",
            "8/8 [==============================] - 91s 11s/step - loss: 41.8224 - val_loss: 1529.0519\n",
            "Epoch 33/51\n",
            "8/8 [==============================] - 87s 11s/step - loss: 42.7894 - val_loss: 1530.6085\n",
            "Epoch 34/51\n",
            "8/8 [==============================] - 85s 11s/step - loss: 42.0616 - val_loss: 1522.7766\n",
            "Epoch 35/51\n",
            "8/8 [==============================] - 87s 11s/step - loss: 41.6637 - val_loss: 1546.7339\n",
            "Epoch 36/51\n",
            "8/8 [==============================] - 86s 11s/step - loss: 40.1443 - val_loss: 1526.5109\n",
            "Epoch 37/51\n",
            "8/8 [==============================] - 87s 11s/step - loss: 40.5526 - val_loss: 1519.6459\n",
            "Epoch 38/51\n",
            "8/8 [==============================] - 88s 11s/step - loss: 38.1487 - val_loss: 1530.2729\n",
            "Epoch 39/51\n",
            "8/8 [==============================] - 88s 11s/step - loss: 36.9531 - val_loss: 1521.9111\n",
            "Epoch 40/51\n",
            "8/8 [==============================] - 89s 11s/step - loss: 37.0880 - val_loss: 1529.6056\n",
            "Epoch 41/51\n",
            "8/8 [==============================] - 87s 11s/step - loss: 36.8054 - val_loss: 1524.8354\n",
            "Epoch 42/51\n",
            "8/8 [==============================] - 85s 11s/step - loss: 35.3030 - val_loss: 1527.4637\n",
            "Epoch 43/51\n",
            "8/8 [==============================] - 89s 11s/step - loss: 34.9187 - val_loss: 1521.5286\n",
            "Epoch 44/51\n",
            "8/8 [==============================] - 90s 11s/step - loss: 35.0073 - val_loss: 1505.7170\n",
            "Epoch 45/51\n",
            "8/8 [==============================] - 87s 11s/step - loss: 32.1617 - val_loss: 1511.9276\n",
            "Epoch 46/51\n",
            "8/8 [==============================] - 88s 11s/step - loss: 34.1137 - val_loss: 1522.2286\n",
            "Epoch 47/51\n",
            "8/8 [==============================] - 86s 11s/step - loss: 32.7449 - val_loss: 1521.2941\n",
            "Epoch 48/51\n",
            "8/8 [==============================] - 87s 11s/step - loss: 32.1460 - val_loss: 1506.2102\n",
            "Epoch 49/51\n",
            "8/8 [==============================] - 89s 11s/step - loss: 32.2754 - val_loss: 1516.6071\n",
            "Epoch 50/51\n",
            "8/8 [==============================] - 86s 11s/step - loss: 31.6052 - val_loss: 1515.8309\n",
            "Epoch 51/51\n",
            "8/8 [==============================] - 87s 11s/step - loss: 30.8085 - val_loss: 1514.3638\n",
            "Unfreeze all layers.\n",
            "Train on 278 samples, val on 30 samples, with batch size 4.\n",
            "Epoch 52/102\n",
            "69/69 [==============================] - 113s 2s/step - loss: 18.3918 - val_loss: 18.2456\n",
            "Epoch 53/102\n",
            "69/69 [==============================] - 95s 1s/step - loss: 14.1535 - val_loss: 15.0387\n",
            "Epoch 54/102\n",
            "69/69 [==============================] - 95s 1s/step - loss: 13.4384 - val_loss: 13.7290\n",
            "Epoch 55/102\n",
            "69/69 [==============================] - 96s 1s/step - loss: 12.9599 - val_loss: 12.8194\n",
            "Epoch 56/102\n",
            "69/69 [==============================] - 96s 1s/step - loss: 12.5190 - val_loss: 12.6369\n",
            "Epoch 57/102\n",
            "69/69 [==============================] - 94s 1s/step - loss: 11.3915 - val_loss: 11.8541\n",
            "Epoch 58/102\n",
            "69/69 [==============================] - 96s 1s/step - loss: 11.2289 - val_loss: 10.9192\n",
            "Epoch 59/102\n",
            "69/69 [==============================] - 96s 1s/step - loss: 10.9161 - val_loss: 11.6826\n",
            "Epoch 60/102\n",
            "69/69 [==============================] - 97s 1s/step - loss: 10.3609 - val_loss: 9.7700\n",
            "Epoch 61/102\n",
            "69/69 [==============================] - 96s 1s/step - loss: 10.2760 - val_loss: 8.9868\n",
            "Epoch 62/102\n",
            "69/69 [==============================] - 99s 1s/step - loss: 9.2565 - val_loss: 10.6230\n",
            "Epoch 63/102\n",
            "69/69 [==============================] - 95s 1s/step - loss: 9.6387 - val_loss: 11.1597\n",
            "Epoch 64/102\n",
            "69/69 [==============================] - 99s 1s/step - loss: 9.4712 - val_loss: 9.9887\n",
            "\n",
            "Epoch 00064: ReduceLROnPlateau reducing learning rate to 9.999999747378752e-06.\n",
            "Epoch 65/102\n",
            "69/69 [==============================] - 95s 1s/step - loss: 9.3703 - val_loss: 9.1703\n",
            "Epoch 66/102\n",
            "69/69 [==============================] - 98s 1s/step - loss: 9.0150 - val_loss: 10.3457\n",
            "Epoch 67/102\n",
            "69/69 [==============================] - 96s 1s/step - loss: 8.8657 - val_loss: 9.0051\n",
            "\n",
            "Epoch 00067: ReduceLROnPlateau reducing learning rate to 9.999999747378752e-07.\n",
            "Epoch 68/102\n",
            "69/69 [==============================] - 95s 1s/step - loss: 9.0857 - val_loss: 8.6291\n",
            "Epoch 69/102\n",
            "69/69 [==============================] - 97s 1s/step - loss: 8.9493 - val_loss: 8.5959\n",
            "Epoch 70/102\n",
            "69/69 [==============================] - 96s 1s/step - loss: 8.8746 - val_loss: 8.5220\n",
            "Epoch 71/102\n",
            "69/69 [==============================] - 98s 1s/step - loss: 8.6543 - val_loss: 8.6476\n",
            "Epoch 72/102\n",
            "69/69 [==============================] - 95s 1s/step - loss: 8.8512 - val_loss: 8.9022\n",
            "Epoch 73/102\n",
            "69/69 [==============================] - 97s 1s/step - loss: 9.0445 - val_loss: 10.0261\n",
            "\n",
            "Epoch 00073: ReduceLROnPlateau reducing learning rate to 9.999999974752428e-08.\n",
            "Epoch 74/102\n",
            "69/69 [==============================] - 97s 1s/step - loss: 8.8368 - val_loss: 9.7519\n",
            "Epoch 75/102\n",
            "69/69 [==============================] - 98s 1s/step - loss: 8.9623 - val_loss: 10.1761\n",
            "Epoch 76/102\n",
            "69/69 [==============================] - 97s 1s/step - loss: 9.1464 - val_loss: 8.1847\n",
            "Epoch 77/102\n",
            "69/69 [==============================] - 97s 1s/step - loss: 8.6798 - val_loss: 9.5430\n",
            "Epoch 78/102\n",
            "69/69 [==============================] - 97s 1s/step - loss: 9.1010 - val_loss: 8.6014\n",
            "Epoch 79/102\n",
            "69/69 [==============================] - 98s 1s/step - loss: 8.8906 - val_loss: 10.4006\n",
            "\n",
            "Epoch 00079: ReduceLROnPlateau reducing learning rate to 1.0000000116860975e-08.\n",
            "Epoch 80/102\n",
            "69/69 [==============================] - 96s 1s/step - loss: 8.5631 - val_loss: 8.7881\n",
            "Epoch 81/102\n",
            "69/69 [==============================] - 97s 1s/step - loss: 9.2176 - val_loss: 9.3873\n",
            "Epoch 82/102\n",
            "69/69 [==============================] - 97s 1s/step - loss: 8.5303 - val_loss: 8.7868\n",
            "\n",
            "Epoch 00082: ReduceLROnPlateau reducing learning rate to 9.999999939225292e-10.\n",
            "Epoch 83/102\n",
            "69/69 [==============================] - 95s 1s/step - loss: 8.7999 - val_loss: 10.1026\n",
            "Epoch 84/102\n",
            "69/69 [==============================] - 98s 1s/step - loss: 8.6304 - val_loss: 8.0732\n",
            "Epoch 85/102\n",
            "69/69 [==============================] - 97s 1s/step - loss: 8.3213 - val_loss: 8.3173\n",
            "Epoch 86/102\n",
            "69/69 [==============================] - 95s 1s/step - loss: 8.8234 - val_loss: 9.1675\n",
            "Epoch 87/102\n",
            "69/69 [==============================] - 97s 1s/step - loss: 9.0840 - val_loss: 8.8423\n",
            "\n",
            "Epoch 00087: ReduceLROnPlateau reducing learning rate to 9.999999717180686e-11.\n",
            "Epoch 88/102\n",
            "69/69 [==============================] - 97s 1s/step - loss: 8.5759 - val_loss: 8.0964\n",
            "Epoch 89/102\n",
            "69/69 [==============================] - 97s 1s/step - loss: 8.9808 - val_loss: 8.5516\n",
            "Epoch 90/102\n",
            "69/69 [==============================] - 96s 1s/step - loss: 8.9467 - val_loss: 8.2106\n",
            "\n",
            "Epoch 00090: ReduceLROnPlateau reducing learning rate to 9.99999943962493e-12.\n",
            "Epoch 91/102\n",
            "69/69 [==============================] - 97s 1s/step - loss: 8.9155 - val_loss: 9.9138\n",
            "Epoch 92/102\n",
            "69/69 [==============================] - 98s 1s/step - loss: 8.7089 - val_loss: 10.5375\n",
            "Epoch 93/102\n",
            "69/69 [==============================] - 97s 1s/step - loss: 8.7479 - val_loss: 8.8849\n",
            "\n",
            "Epoch 00093: ReduceLROnPlateau reducing learning rate to 9.999999092680235e-13.\n",
            "Epoch 94/102\n",
            "69/69 [==============================] - 100s 1s/step - loss: 8.6118 - val_loss: 9.0344\n",
            "Epoch 00094: early stopping\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Dv-ziWyep-sR",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "73703f5d-33c9-4461-fd3c-39c60c909a2e"
      },
      "source": [
        "# changing directory => excute only once\n",
        "%cd ../3_Inference"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/TrainYourOwnYOLO/3_Inference\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IzWNj4pQqWHs",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "8db21319-5adb-49c9-f64e-b02a69923830"
      },
      "source": [
        "# testing out my model\n",
        "!python Detector.py --input_path ../../data \\\n",
        "--output ../../data \\\n",
        "--yolo_model ../Data/Model_Weights/trained_weights_final.h5 \\\n",
        "--classes ../../data/labels.names \\\n",
        "--anchors ../2_Training/src/keras_yolo3/model_data/yolo-tiny_anchors.txt"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Using TensorFlow backend.\n",
            "WARNING: Logging before flag parsing goes to stderr.\n",
            "W0729 16:14:37.734403 140463281780608 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.\n",
            "\n",
            "W0729 16:14:37.734699 140463281780608 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:181: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.\n",
            "\n",
            "W0729 16:14:37.734896 140463281780608 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:186: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.\n",
            "\n",
            "W0729 16:14:37.842462 140463281780608 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.\n",
            "\n",
            "W0729 16:14:37.844344 140463281780608 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:74: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.\n",
            "\n",
            "W0729 16:14:37.844586 140463281780608 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.\n",
            "\n",
            "W0729 16:14:37.848678 140463281780608 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.\n",
            "\n",
            "W0729 16:14:37.876159 140463281780608 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.\n",
            "\n",
            "W0729 16:14:37.893129 140463281780608 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.\n",
            "\n",
            "W0729 16:14:38.365292 140463281780608 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead.\n",
            "\n",
            "W0729 16:14:38.422850 140463281780608 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:133: The name tf.placeholder_with_default is deprecated. Please use tf.compat.v1.placeholder_with_default instead.\n",
            "\n",
            "W0729 16:14:38.437016 140463281780608 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3976: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.\n",
            "\n",
            "W0729 16:14:39.293201 140463281780608 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:2018: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead.\n",
            "\n",
            "../Data/Model_Weights/trained_weights_final.h5 model, anchors, and classes loaded in 2.18sec.\n",
            "W0729 16:14:40.229682 140463281780608 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/array_ops.py:1475: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use tf.where in 2.0, which has the same broadcast rule as np.where\n",
            "Found 1 input labels: ['cube'] ...\n",
            "Found 309 input images: ['cube_test.jpg', 'IMG_20200726_165512.jpg', 'IMG_20200726_165802.jpg', 'IMG_20200726_165025.jpg', 'IMG_20200726_164803.jpg'] ...\n",
            "../../data/cube_test.jpg\n",
            "(416, 416, 3)\n",
            "Found 1 boxes for img\n",
            "cube 0.97 (196, 128) (298, 202)\n",
            "Time spent: 1.638sec\n",
            "../../data/images/IMG_20200726_165512.jpg\n",
            "(416, 416, 3)\n",
            "Found 1 boxes for img\n",
            "cube 0.29 (123, 138) (185, 191)\n",
            "Time spent: 0.028sec\n",
            "../../data/images/IMG_20200726_165802.jpg\n",
            "(416, 416, 3)\n",
            "Found 1 boxes for img\n",
            "cube 0.42 (199, 95) (270, 177)\n",
            "Time spent: 0.024sec\n",
            "../../data/images/IMG_20200726_165025.jpg\n",
            "(416, 416, 3)\n",
            "Found 1 boxes for img\n",
            "cube 0.64 (960, 1388) (1586, 1885)\n",
            "Time spent: 0.133sec\n",
            "../../data/images/IMG_20200726_164803.jpg\n",
            "(416, 416, 3)\n",
            "Found 1 boxes for img\n",
            "cube 0.65 (378, 1307) (1361, 2270)\n",
            "Time spent: 0.138sec\n",
            "../../data/images/IMG_20200726_161821.jpg\n",
            "(416, 416, 3)\n",
            "Found 1 boxes for img\n",
            "cube 0.89 (825, 1932) (1533, 2543)\n",
            "Time spent: 0.143sec\n",
            "../../data/images/IMG_20200726_163852.jpg\n",
            "(416, 416, 3)\n",
            "Found 1 boxes for img\n",
            "cube 0.93 (526, 1073) (1325, 1680)\n",
            "Time spent: 0.139sec\n",
            "../../data/images/IMG_20200726_161551.jpg\n",
            "(416, 416, 3)\n",
            "Found 1 boxes for img\n",
            "cube 0.57 (1136, 1036) (1686, 1610)\n",
            "Time spent: 0.139sec\n",
            "../../data/images/IMG_20200726_162052.jpg\n",
            "(416, 416, 3)\n",
            "Found 1 boxes for img\n",
            "cube 0.78 (192, 2269) (915, 2857)\n",
            "Time spent: 0.142sec\n",
            "../../data/images/IMG_20200726_165057.jpg\n",
            "(416, 416, 3)\n",
            "Found 0 boxes for img\n",
            "Time spent: 0.143sec\n",
            "Traceback (most recent call last):\n",
            "  File \"Detector.py\", line 222, in <module>\n",
            "    postfix=FLAGS.postfix,\n",
            "  File \"/content/TrainYourOwnYOLO/Utils/utils.py\", line 44, in detect_object\n",
            "    new_image.save(os.path.join(save_img_path, img_out))\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/PIL/Image.py\", line 2084, in save\n",
            "    save_handler(self, fp, filename)\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/PIL/JpegImagePlugin.py\", line 770, in _save\n",
            "    ImageFile._save(im, fp, [(\"jpeg\", (0, 0) + im.size, 0, rawmode)], bufsize)\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/PIL/ImageFile.py\", line 530, in _save\n",
            "    s = e.encode_to_file(fh, bufsize)\n",
            "KeyboardInterrupt\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lqy38oHty1mk",
        "colab_type": "text"
      },
      "source": [
        "Download the weights file in the MODEL  data folder and put it inside the detect_data folder"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lZL22QhXrbsj",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}