ipyn eklendi

Gradio.ipynb

@@ -0,0 +1,474 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": 5,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "68CgGISA0OQu",
+        "outputId": "5529450e-9f82-479a-b398-9570a0969314"
+      },
+      "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": 6,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "NN8c3dXt0hfN",
+        "outputId": "83a5e277-e7d3-498a-e080-a573efdb2ce1"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "datasets      README.md\t\tsaved_model  yolov5-flask-master\n",
+            "Gradio.ipynb  requirements.txt\tyolov5\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": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 35
+        },
+        "id": "vN36F7c50mF4",
+        "outputId": "cffb7408-84e1-41a2-b6dd-b4256c374449"
+      },
+      "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": 3
+        }
+      ],
+      "source": [
+        "import os\n",
+        "cwd = os.getcwd()\n",
+        "cwd"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "8xT1CQBM1Afx",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "b8593c94-3223-480c-910a-0667a2e019f1"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "\u001b[K     |████████████████████████████████| 5.6 MB 2.0 MB/s \n",
+            "\u001b[K     |████████████████████████████████| 596 kB 65.4 MB/s \n",
+            "\u001b[K     |████████████████████████████████| 140 kB 18.1 MB/s \n",
+            "\u001b[K     |████████████████████████████████| 84 kB 3.4 MB/s \n",
+            "\u001b[K     |████████████████████████████████| 1.1 MB 66.8 MB/s \n",
+            "\u001b[K     |████████████████████████████████| 54 kB 2.7 MB/s \n",
+            "\u001b[K     |████████████████████████████████| 54 kB 572 kB/s \n",
+            "\u001b[K     |████████████████████████████████| 57 kB 4.9 MB/s \n",
+            "\u001b[K     |████████████████████████████████| 2.3 MB 46.4 MB/s \n",
+            "\u001b[K     |████████████████████████████████| 84 kB 3.0 MB/s \n",
+            "\u001b[K     |████████████████████████████████| 212 kB 51.5 MB/s \n",
+            "\u001b[K     |████████████████████████████████| 272 kB 58.7 MB/s \n",
+            "\u001b[K     |████████████████████████████████| 271 kB 47.1 MB/s \n",
+            "\u001b[K     |████████████████████████████████| 144 kB 67.1 MB/s \n",
+            "\u001b[K     |████████████████████████████████| 94 kB 3.7 MB/s \n",
+            "\u001b[K     |████���███████████████████████████| 63 kB 1.5 MB/s \n",
+            "\u001b[K     |████████████████████████████████| 80 kB 8.6 MB/s \n",
+            "\u001b[K     |████████████████████████████████| 68 kB 2.6 MB/s \n",
+            "\u001b[K     |████████████████████████████████| 43 kB 1.5 MB/s \n",
+            "\u001b[K     |████████████████████████████████| 856 kB 49.4 MB/s \n",
+            "\u001b[K     |████████████████████████████████| 62 kB 838 kB/s \n",
+            "\u001b[K     |████████████████████████████████| 4.1 MB 40.7 MB/s \n",
+            "\u001b[?25h  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+            "  Building wheel for python-multipart (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
+          ]
+        }
+      ],
+      "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": 7,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1000
+        },
+        "id": "8kaOPNyz2cEr",
+        "outputId": "4012dc70-c529-47cb-e8c0-ef053f268629"
+      },
+      "outputs": [
+        {
+          "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://24062.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://24062.gradio.app\" width=\"900\" height=\"500\" allow=\"autoplay; camera; microphone;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+            ]
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "Traceback (most recent call last):\n",
+            "  File \"/usr/local/lib/python3.7/dist-packages/gradio/routes.py\", line 256, in run_predict\n",
+            "    fn_index, raw_input, username, session_state\n",
+            "  File \"/usr/local/lib/python3.7/dist-packages/gradio/blocks.py\", line 599, in process_api\n",
+            "    predictions, duration = await self.call_function(fn_index, processed_input)\n",
+            "  File \"/usr/local/lib/python3.7/dist-packages/gradio/blocks.py\", line 515, in call_function\n",
+            "    block_fn.fn, *processed_input, limiter=self.limiter\n",
+            "  File \"/usr/local/lib/python3.7/dist-packages/anyio/to_thread.py\", line 32, in run_sync\n",
+            "    func, *args, cancellable=cancellable, limiter=limiter\n",
+            "  File \"/usr/local/lib/python3.7/dist-packages/anyio/_backends/_asyncio.py\", line 937, in run_sync_in_worker_thread\n",
+            "    return await future\n",
+            "  File \"/usr/local/lib/python3.7/dist-packages/anyio/_backends/_asyncio.py\", line 867, in run\n",
+            "    result = context.run(func, *args)\n",
+            "  File \"/usr/local/lib/python3.7/dist-packages/gradio/interface.py\", line 487, in <lambda>\n",
+            "    if len(self.output_components) == 1\n",
+            "  File \"/usr/local/lib/python3.7/dist-packages/gradio/interface.py\", line 666, in run_prediction\n",
+            "    prediction = self.fn(*processed_input)\n",
+            "  File \"<ipython-input-7-71d283d5d6e3>\", line 23, in yolo\n",
+            "    g = (size / max(im.size))  # gain\n",
+            "AttributeError: 'NoneType' object has no attribute 'size'\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Keyboard interruption in main thread... closing server.\n"
+          ]
+        },
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(<gradio.routes.App at 0x7f623ac59ad0>,\n",
+              " 'http://127.0.0.1:7860/',\n",
+              " 'https://24062.gradio.app')"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 7
+        }
+      ],
+      "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://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",
+        "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",
+        "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",
+        "'''"
+      ]
+    }
+  ],
+  "metadata": {
+    "colab": {
+      "collapsed_sections": [],
+      "name": "Gradio.ipynb",
+      "provenance": []
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "name": "python3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}