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import gradio as gr |
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import os |
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import torch |
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'''gdd.download_file_from_google_drive(file_id='1xJcr1zuuoC6bbu6wGvmyw5dl0mUEi-Jn', |
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dest_path='content/train_data.zip', |
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unzip=True) |
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gdd.download_file_from_google_drive(file_id='1UJ9Y2mw2KBRY0tO-TnBs5RALLya6C2dW', |
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dest_path='content/video.zip', |
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unzip=True) ''' |
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def find(name, path): |
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for root, dirs, files in os.walk(path): |
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if name in files: |
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return os.path.join(root, name) |
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model = torch.hub.load('ultralytics/yolov5', 'custom', path='/Content/best.pt', force_reload=True) |
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def detect(inp): |
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output=model(inp) |
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return output |
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inp=gr.inputs.Image() |
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output=gr.outputs.Image() |
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io=gr.Interface(fn=detect, inputs=inp, outputs=output, title='Party Symbol Detection',examples=['Content/4.jpg']) |
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io.launch(debug=True,share=True) |
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