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gradio test

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  1. Gradio.ipynb +1875 -88
Gradio.ipynb CHANGED
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- "datasets README.md\t\tsaved_model yolov5-flask-master\n",
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- "Gradio.ipynb requirements.txt\tyolov5\n",
 
 
 
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  "[Errno 2] No such file or directory: 'drive/My Drive/Colab Notebooks/Model Representation/'\n",
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  "/content/drive/My Drive/Colab Notebooks/Model Representation\n"
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  ]
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- "\u001b[K |β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 5.6 MB 2.0 MB/s \n",
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- "\u001b[K |β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 596 kB 65.4 MB/s \n",
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- "\u001b[K |β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1.1 MB 66.8 MB/s \n",
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- "\u001b[?25h Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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- " Building wheel for python-multipart (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
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  "source": [
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  "!pip install -qr https://raw.githubusercontent.com/ultralytics/yolov5/master/requirements.txt gradio # install dependencies"
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  ]
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- "Running on public URL: https://24062.gradio.app\n",
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  "\n",
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  "This share link expires in 72 hours. For free permanent hosting, check out Spaces (https://huggingface.co/spaces)\n"
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  "<IPython.core.display.HTML object>"
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- "<div><iframe src=\"https://24062.gradio.app\" width=\"900\" height=\"500\" allow=\"autoplay; camera; microphone;\" frameborder=\"0\" allowfullscreen></iframe></div>"
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- "Traceback (most recent call last):\n",
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- " File \"/usr/local/lib/python3.7/dist-packages/gradio/routes.py\", line 256, in run_predict\n",
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- " fn_index, raw_input, username, session_state\n",
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- " File \"/usr/local/lib/python3.7/dist-packages/gradio/blocks.py\", line 599, in process_api\n",
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- " predictions, duration = await self.call_function(fn_index, processed_input)\n",
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- " File \"/usr/local/lib/python3.7/dist-packages/gradio/blocks.py\", line 515, in call_function\n",
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- " block_fn.fn, *processed_input, limiter=self.limiter\n",
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- " File \"/usr/local/lib/python3.7/dist-packages/anyio/to_thread.py\", line 32, in run_sync\n",
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- " func, *args, cancellable=cancellable, limiter=limiter\n",
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- " File \"/usr/local/lib/python3.7/dist-packages/anyio/_backends/_asyncio.py\", line 937, in run_sync_in_worker_thread\n",
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- " return await future\n",
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- " File \"/usr/local/lib/python3.7/dist-packages/anyio/_backends/_asyncio.py\", line 867, in run\n",
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- " result = context.run(func, *args)\n",
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- " File \"/usr/local/lib/python3.7/dist-packages/gradio/interface.py\", line 487, in <lambda>\n",
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- " if len(self.output_components) == 1\n",
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- " File \"/usr/local/lib/python3.7/dist-packages/gradio/interface.py\", line 666, in run_prediction\n",
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- " prediction = self.fn(*processed_input)\n",
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- " File \"<ipython-input-7-71d283d5d6e3>\", line 23, in yolo\n",
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- " g = (size / max(im.size)) # gain\n",
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- "AttributeError: 'NoneType' object has no attribute 'size'\n"
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  "output_type": "execute_result",
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- "(<gradio.routes.App at 0x7f623ac59ad0>,\n",
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- " 'http://127.0.0.1:7860/',\n",
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- " 'https://24062.gradio.app')"
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- ]
 
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  "\n",
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  "\n",
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  "# Images\n",
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- "#torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/raw/master/data/images/zidane.jpg', 'zidane.jpg')\n",
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- "#torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/raw/master/data/images/bus.jpg', 'bus.jpg')\n",
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- "\n",
 
 
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  "# Model\n",
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  "#model = torch.hub.load('ultralytics/yolov5', 'yolov5s') # force_reload=True to update\n",
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  "model = torch.hub.load(cwd+'/yolov5', 'custom', path=cwd+'/saved_model/s1000_best.pt', source='local') # local model\n",
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  " \"and export to ONNX, CoreML and TFLite. <a href='https://github.com/ultralytics/yolov5'>Source code</a> |\" \\\n",
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  " \"<a href='https://apps.apple.com/app/id1452689527'>iOS App</a> | <a href='https://pytorch.org/hub/ultralytics_yolov5'>PyTorch Hub</a></p>\"\n",
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  "\n",
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- "path_folder = cwd+'/datasets/s1000/'\n",
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- "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",
 
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  "gr.Interface(yolo, inputs, outputs, title=title, description=description, article=article, examples=examples, analytics_enabled=False).launch(\n",
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  " debug=True)\n",
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  "\n",
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  },
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  "language_info": {
469
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  }
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  "cells": [
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  "cell_type": "code",
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+ "execution_count": 8,
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  "metadata": {
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  "colab": {
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  "base_uri": "https://localhost:8080/"
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  },
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  "id": "68CgGISA0OQu",
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+ "outputId": "1a3ec579-2f23-4570-a66f-bc00abbf7f84"
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  },
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  "outputs": [
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  {
 
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  },
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  {
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  "cell_type": "code",
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+ "execution_count": 9,
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  "metadata": {
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  "colab": {
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  "base_uri": "https://localhost:8080/"
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  },
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  "id": "NN8c3dXt0hfN",
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+ "outputId": "6f941dca-47d4-42b0-e9c6-61cd54393184"
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  },
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  "outputs": [
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  {
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  "output_type": "stream",
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  "name": "stdout",
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  "text": [
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+ " app.py requirements.txt\n",
43
+ " datasets 'β€œS1000 Drone”nu Tespit icΜ§in Veri Toplama.gdoc'\n",
44
+ " flagged saved_model\n",
45
+ " Gradio.ipynb yolov5\n",
46
+ " README.md yolov5-flask-master\n",
47
  "[Errno 2] No such file or directory: 'drive/My Drive/Colab Notebooks/Model Representation/'\n",
48
  "/content/drive/My Drive/Colab Notebooks/Model Representation\n"
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  ]
 
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  },
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  {
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  "outputs": [
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  {
 
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  }
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+ "execution_count": 10
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  "metadata": {
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  },
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+ "outputs": [],
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "source": [
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  "!pip install -qr https://raw.githubusercontent.com/ultralytics/yolov5/master/requirements.txt gradio # install dependencies"
98
  ]
 
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  },
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  {
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  "cell_type": "code",
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+ "metadata": {}
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  {
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  "name": "stderr",
 
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  "output_type": "stream",
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  "name": "stdout",
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  "text": [
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+ "Running on public URL: https://37549.gradio.app\n",
429
  "\n",
430
  "This share link expires in 72 hours. For free permanent hosting, check out Spaces (https://huggingface.co/spaces)\n"
431
  ]
 
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  "<IPython.core.display.HTML object>"
438
  ],
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  "text/html": [
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+ "<div><iframe src=\"https://37549.gradio.app\" width=\"900\" height=\"500\" allow=\"autoplay; camera; microphone;\" frameborder=\"0\" allowfullscreen></iframe></div>"
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  "metadata": {}
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  "name": "stdout",
 
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  "output_type": "execute_result",
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  "data": {
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  "text/plain": [
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+ "'\\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'"
457
+ ],
458
+ "application/vnd.google.colaboratory.intrinsic+json": {
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+ "type": "string"
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+ "execution_count": 12
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  }
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  ],
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  "source": [
 
477
  "\n",
478
  "\n",
479
  "# Images\n",
480
+ "torch.hub.download_url_to_file('https://i.imgur.com/Qi6I5Yf.png', 's1000_50_metre.jpg')\n",
481
+ "torch.hub.download_url_to_file('https://i.imgur.com/kATwqiq.png', 's1000_100_metre.jpg')\n",
482
+ "torch.hub.download_url_to_file('https://i.imgur.com/UhtsKNx.png', 's1000_150_metre.jpg')\n",
483
+ "torch.hub.download_url_to_file('https://i.imgur.com/xXnXoEX.png', 's1000_200_metre.jpg')\n",
484
+ "torch.hub.download_url_to_file('https://i.imgur.com/SU5yPAS.png', 's1000_250_metre.jpg')\n",
485
  "# Model\n",
486
  "#model = torch.hub.load('ultralytics/yolov5', 'yolov5s') # force_reload=True to update\n",
487
  "model = torch.hub.load(cwd+'/yolov5', 'custom', path=cwd+'/saved_model/s1000_best.pt', source='local') # local model\n",
 
506
  " \"and export to ONNX, CoreML and TFLite. <a href='https://github.com/ultralytics/yolov5'>Source code</a> |\" \\\n",
507
  " \"<a href='https://apps.apple.com/app/id1452689527'>iOS App</a> | <a href='https://pytorch.org/hub/ultralytics_yolov5'>PyTorch Hub</a></p>\"\n",
508
  "\n",
509
+ "'''path_folder = cwd+'/datasets/s1000/'\n",
510
+ "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",
511
+ "examples = [['s1000_50_metre.jpg'], ['s1000_100_metre.jpg'],['s1000_150_metre.jpg'],['s1000_200_metre.jpg'],['s1000_250_metre.jpg']]\n",
512
  "gr.Interface(yolo, inputs, outputs, title=title, description=description, article=article, examples=examples, analytics_enabled=False).launch(\n",
513
  " debug=True)\n",
514
  "\n",
 
540
  },
541
  "language_info": {
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  "name": "python"
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+ },
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+ "_view_module_version": "1.5.0",
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+ "value": "100%"
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