{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "68CgGISA0OQu",
        "outputId": "1a3ec579-2f23-4570-a66f-bc00abbf7f84"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NN8c3dXt0hfN",
        "outputId": "6f941dca-47d4-42b0-e9c6-61cd54393184"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " app.py         requirements.txt\n",
            " datasets      '“S1000 Drone”nu Tespit için Veri Toplama.gdoc'\n",
            " flagged        saved_model\n",
            " Gradio.ipynb   yolov5\n",
            " README.md      yolov5-flask-master\n",
            "[Errno 2] No such file or directory: 'drive/My Drive/Colab Notebooks/Model Representation/'\n",
            "/content/drive/My Drive/Colab Notebooks/Model Representation\n"
          ]
        }
      ],
      "source": [
        "!ls \"/content/drive/My Drive/Colab Notebooks/Model Representation/\"\n",
        "%cd drive/My Drive/Colab Notebooks/Model Representation/"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "vN36F7c50mF4",
        "outputId": "7cc7a6b5-adf8-494d-9a0b-beb246afd872"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'/content/drive/My Drive/Colab Notebooks/Model Representation'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 10
        }
      ],
      "source": [
        "import os\n",
        "cwd = os.getcwd()\n",
        "cwd"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "8xT1CQBM1Afx"
      },
      "outputs": [],
      "source": [
        "!pip install -qr https://raw.githubusercontent.com/ultralytics/yolov5/master/requirements.txt gradio # install dependencies"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "FwCb9Nmk1n6n",
        "outputId": "219fa614-9dda-4870-fe54-dfce5b4e4b05"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "\u001b[31m\u001b[1mrequirements:\u001b[0m PyYAML>=5.3.1 not found and is required by YOLOv5, attempting auto-update...\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: PyYAML>=5.3.1 in /usr/local/lib/python3.7/dist-packages (6.0)\n",
            "\n",
            "\u001b[31m\u001b[1mrequirements:\u001b[0m torch!=1.12.0,>=1.7.0 not found and is required by YOLOv5, attempting auto-update...\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: torch!=1.12.0,>=1.7.0 in /usr/local/lib/python3.7/dist-packages (1.11.0)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from torch!=1.12.0,>=1.7.0) (4.1.1)\n",
            "\n",
            "\u001b[31m\u001b[1mrequirements:\u001b[0m torchvision!=0.13.0,>=0.8.1 not found and is required by YOLOv5, attempting auto-update...\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: torchvision!=0.13.0,>=0.8.1 in /usr/local/lib/python3.7/dist-packages (0.12.0)\n",
            "Requirement already satisfied: torch==1.11.0 in /usr/local/lib/python3.7/dist-packages (from torchvision!=0.13.0,>=0.8.1) (1.11.0)\n",
            "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.7/dist-packages (from torchvision!=0.13.0,>=0.8.1) (7.1.2)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from torchvision!=0.13.0,>=0.8.1) (2.23.0)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from torchvision!=0.13.0,>=0.8.1) (1.21.6)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from torchvision!=0.13.0,>=0.8.1) (4.1.1)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->torchvision!=0.13.0,>=0.8.1) (3.0.4)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->torchvision!=0.13.0,>=0.8.1) (1.24.3)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->torchvision!=0.13.0,>=0.8.1) (2022.6.15)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->torchvision!=0.13.0,>=0.8.1) (2.10)\n",
            "\n",
            "\u001b[31m\u001b[1mrequirements:\u001b[0m 3 packages updated per /root/.cache/torch/hub/ultralytics_yolov5_master/requirements.txt\n",
            "\u001b[31m\u001b[1mrequirements:\u001b[0m ⚠️ \u001b[1mRestart runtime or rerun command for updates to take effect\u001b[0m\n",
            "\n",
            "YOLOv5 🚀 2022-7-14 Python-3.7.13 torch-1.11.0+cu102 CPU\n",
            "\n",
            "Fusing layers... \n",
            "YOLOv5s summary: 213 layers, 7225885 parameters, 0 gradients\n",
            "Adding AutoShape... \n",
            "/usr/local/lib/python3.7/dist-packages/gradio/deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
            "  warnings.warn(value)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Colab notebook detected. This cell will run indefinitely so that you can see errors and logs. To turn off, set debug=False in launch().\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Connected (version 2.0, client OpenSSH_7.6p1)\n",
            "Authentication (publickey) successful!\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Running on public URL: https://21879.gradio.app\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting, check out Spaces (https://huggingface.co/spaces)\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div><iframe src=\"https://21879.gradio.app\" width=\"900\" height=\"500\" allow=\"autoplay; camera; microphone;\" frameborder=\"0\" allowfullscreen></iframe></div>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Keyboard interruption in main thread... closing server.\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "(<gradio.routes.App at 0x7f39e2421b50>,\n",
              " 'http://127.0.0.1:7860/',\n",
              " 'https://21879.gradio.app')"
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "import gradio as gr\n",
        "import torch\n",
        "from PIL import Image\n",
        "\n",
        "# Images\n",
        "#torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/raw/master/data/images/zidane.jpg', 'zidane.jpg')\n",
        "#torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/raw/master/data/images/bus.jpg', 'bus.jpg')\n",
        "\n",
        "# Model\n",
        "#model = torch.hub.load('ultralytics/yolov5', 'yolov5s')  # force_reload=True to update\n",
        "\n",
        "model =  torch.hub.load(cwd+'/yolov5', 'custom', path=cwd+'/saved_model/yolov5s.pt', source='local')  # local model\n",
        "\n",
        "\n",
        "\n",
        "def yolo(im, size=640):\n",
        "    g = (size / max(im.size))  # gain\n",
        "    im = im.resize((int(x * g) for x in im.size), Image.ANTIALIAS)  # resize\n",
        "\n",
        "    results = model(im)  # inference\n",
        "    results.render()  # updates results.imgs with boxes and labels\n",
        "    return Image.fromarray(results.imgs[0])\n",
        "\n",
        "\n",
        "inputs = gr.inputs.Image(type='pil', label=\"Original Image\")\n",
        "outputs = gr.outputs.Image(type=\"pil\", label=\"Output Image\")\n",
        "\n",
        "title = \"YOLOv5\"\n",
        "description = \"YOLOv5 Gradio demo for object detection. Upload an image or click an example image to use.\"\n",
        "article = \"<p style='text-align: center'>YOLOv5 is a family of compound-scaled object detection models trained on the COCO dataset, and includes \" \\\n",
        "          \"simple functionality for Test Time Augmentation (TTA), model ensembling, hyperparameter evolution, \" \\\n",
        "          \"and export to ONNX, CoreML and TFLite. <a href='https://github.com/ultralytics/yolov5'>Source code</a> |\" \\\n",
        "          \"<a href='https://apps.apple.com/app/id1452689527'>iOS App</a> | <a href='https://pytorch.org/hub/ultralytics_yolov5'>PyTorch Hub</a></p>\"\n",
        "\n",
        "examples = [[cwd+'/datasets/zidane.jpg'], [cwd+'/datasets/bus.jpg']]\n",
        "gr.Interface(yolo, inputs, outputs, title=title, description=description, article=article, examples=examples, analytics_enabled=False).launch(\n",
        "    debug=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
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              "model_id": "6be7649e388c47609ebe4778c18689c8"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[31m\u001b[1mrequirements:\u001b[0m PyYAML>=5.3.1 not found and is required by YOLOv5, attempting auto-update...\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: PyYAML>=5.3.1 in /usr/local/lib/python3.7/dist-packages (6.0)\n",
            "\n",
            "\u001b[31m\u001b[1mrequirements:\u001b[0m 1 package updated per /content/drive/MyDrive/Colab Notebooks/Model Representation/yolov5/requirements.txt\n",
            "\u001b[31m\u001b[1mrequirements:\u001b[0m ⚠️ \u001b[1mRestart runtime or rerun command for updates to take effect\u001b[0m\n",
            "\n",
            "YOLOv5 🚀 2022-6-24 Python-3.7.13 torch-1.12.0+cu113 CPU\n",
            "\n",
            "Fusing layers... \n",
            "Model summary: 213 layers, 7012822 parameters, 0 gradients\n",
            "Adding AutoShape... \n",
            "/usr/local/lib/python3.7/dist-packages/gradio/inputs.py:257: UserWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
            "  \"Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\",\n",
            "/usr/local/lib/python3.7/dist-packages/gradio/deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
            "  warnings.warn(value)\n",
            "/usr/local/lib/python3.7/dist-packages/gradio/outputs.py:43: UserWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components\n",
            "  \"Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components\",\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Colab notebook detected. This cell will run indefinitely so that you can see errors and logs. To turn off, set debug=False in launch().\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Connected (version 2.0, client OpenSSH_7.6p1)\n",
            "Authentication (publickey) successful!\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Running on public URL: https://37549.gradio.app\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting, check out Spaces (https://huggingface.co/spaces)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<div><iframe src=\"https://37549.gradio.app\" width=\"900\" height=\"500\" allow=\"autoplay; camera; microphone;\" frameborder=\"0\" allowfullscreen></iframe></div>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Keyboard interruption in main thread... closing server.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'\\n\\n\\ngit init\\ngit config user.name bulentsofttech\\ngit config user.email bulent.softtech@gmail.com\\ngit add *\\ngit commit -m \"WriteCommit\"\\ngit push origin master\\n\\n\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 12
        }
      ],
      "source": [
        "import gradio as gr\n",
        "import torch\n",
        "from PIL import Image\n",
        "\n",
        "\n",
        "import os\n",
        "cwd = os.getcwd()\n",
        "\n",
        "# !pip install -qr https://raw.githubusercontent.com/ultralytics/yolov5/master/requirements.txt gradio\n",
        "\n",
        "\n",
        "\n",
        "# Images\n",
        "torch.hub.download_url_to_file('https://i.imgur.com/Qi6I5Yf.png', 's1000_50_metre.jpg')\n",
        "torch.hub.download_url_to_file('https://i.imgur.com/kATwqiq.png', 's1000_100_metre.jpg')\n",
        "torch.hub.download_url_to_file('https://i.imgur.com/UhtsKNx.png', 's1000_150_metre.jpg')\n",
        "torch.hub.download_url_to_file('https://i.imgur.com/xXnXoEX.png', 's1000_200_metre.jpg')\n",
        "torch.hub.download_url_to_file('https://i.imgur.com/SU5yPAS.png', 's1000_250_metre.jpg')\n",
        "# Model\n",
        "#model = torch.hub.load('ultralytics/yolov5', 'yolov5s')  # force_reload=True to update\n",
        "model =  torch.hub.load(cwd+'/yolov5', 'custom', path=cwd+'/saved_model/s1000_best.pt', source='local')  # local model\n",
        "\n",
        "\n",
        "def yolo(im, size=640):\n",
        "    g = (size / max(im.size))  # gain\n",
        "    im = im.resize((int(x * g) for x in im.size), Image.ANTIALIAS)  # resize\n",
        "\n",
        "    results = model(im)  # inference\n",
        "    results.render()  # updates results.imgs with boxes and labels\n",
        "    return Image.fromarray(results.imgs[0])\n",
        "\n",
        "\n",
        "inputs = gr.inputs.Image(type='pil', label=\"Original Image\")\n",
        "outputs = gr.outputs.Image(type=\"pil\", label=\"Output Image\")\n",
        "\n",
        "title = \"S1000 Detection\"\n",
        "description = \"YOLOv5 Gradio demo for object detection. Upload an image or click an example image to use.\"\n",
        "article = \"<p style='text-align: center'>YOLOv5 is a family of compound-scaled object detection models trained on the COCO dataset, and includes \" \\\n",
        "          \"simple functionality for Test Time Augmentation (TTA), model ensembling, hyperparameter evolution, \" \\\n",
        "          \"and export to ONNX, CoreML and TFLite. <a href='https://github.com/ultralytics/yolov5'>Source code</a> |\" \\\n",
        "          \"<a href='https://apps.apple.com/app/id1452689527'>iOS App</a> | <a href='https://pytorch.org/hub/ultralytics_yolov5'>PyTorch Hub</a></p>\"\n",
        "\n",
        "'''path_folder = cwd+'/datasets/s1000/'\n",
        "examples = [[path_folder+'s1000_50_metre.jpg'], [path_folder+'s1000_100_metre.jpg'],[path_folder+'s1000_150_metre.jpg'],[path_folder+'s1000_200_metre.jpg'],[path_folder+'s1000_250_metre.jpg']]'''\n",
        "examples = [['s1000_50_metre.jpg'], ['s1000_100_metre.jpg'],['s1000_150_metre.jpg'],['s1000_200_metre.jpg'],['s1000_250_metre.jpg']]\n",
        "gr.Interface(yolo, inputs, outputs, title=title, description=description, article=article, examples=examples, analytics_enabled=False).launch(\n",
        "    debug=True)\n",
        "\n",
        "\n",
        "'''\n",
        "\n",
        "\n",
        "git init\n",
        "git config user.name bulentsofttech\n",
        "git config user.email bulent.softtech@gmail.com\n",
        "git add *\n",
        "git commit -m \"WriteCommit\"\n",
        "git push origin master\n",
        "\n",
        "\n",
        "'''"
      ]
    }
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