Spaces:
Runtime error
Runtime error
galatasaray
commited on
Commit
β’
bcc5e7a
1
Parent(s):
2358c71
gradio test
Browse files- Gradio.ipynb +1875 -88
Gradio.ipynb
CHANGED
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"cells": [
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"id": "68CgGISA0OQu",
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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"id": "NN8c3dXt0hfN",
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"outputs": [
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"text": [
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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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"\u001b[K |ββββββββββββββββββββββββββββββββ| 5.6 MB 2.0 MB/s \n",
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"\u001b[K |ββββββββββββββββββββββββββββββββ| 596 kB 65.4 MB/s \n",
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"\u001b[K |ββββββββββββββββββββββββββββββββ| 856 kB 49.4 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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"height": 1000
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"text": [
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"Running on public URL: https://
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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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"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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"# Images\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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"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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},
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"language_info": {
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"name": "python"
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470 |
}
|
471 |
},
|
472 |
"nbformat": 4,
|
|
|
2 |
"cells": [
|
3 |
{
|
4 |
"cell_type": "code",
|
5 |
+
"execution_count": 8,
|
6 |
"metadata": {
|
7 |
"colab": {
|
8 |
"base_uri": "https://localhost:8080/"
|
9 |
},
|
10 |
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" app.py requirements.txt\n",
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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'"
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"\n",
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"\n",
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"# Images\n",
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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",
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484 |
+
"torch.hub.download_url_to_file('https://i.imgur.com/SU5yPAS.png', 's1000_250_metre.jpg')\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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487 |
"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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"examples = [['s1000_50_metre.jpg'], ['s1000_100_metre.jpg'],['s1000_150_metre.jpg'],['s1000_200_metre.jpg'],['s1000_250_metre.jpg']]\n",
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