xugaoxiang / yolov5-streamlit Goto Github PK
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License: MIT License
Deploy YOLOv5 detection with Streamlit
License: MIT License
Hey there ๐ Just wanted to let you know that your app on Streamlit Cloud deployed from this repo has gone over its resource limits. Access to the app is temporarily limited. Visit the app to see more details and possible solutions.
Hey there ๐ Just wanted to let you know that your app on Streamlit Cloud deployed from this repo has gone over its resource limits. Access to the app is temporarily limited. Visit the app to see more details and possible solutions.
AttributeError: This app has encountered an error. The original error message is redacted to prevent data leaks. Full error details have been recorded in the logs (if you're on Streamlit Cloud, click on 'Manage app' in the lower right of your app).
Traceback:
File "/home/appuser/venv/lib/python3.7/site-packages/streamlit/scriptrunner/script_runner.py", line 443, in _run_script
exec(code, module.dict)
File "/app/yolov5-streamlit/main.py", line 105, in
detect(opt)
File "/app/yolov5-streamlit/detect.py", line 77, in detect
pred = model(img, augment=opt.augment)[0]
File "/home/appuser/venv/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "/app/yolov5-streamlit/models/yolo.py", line 123, in forward
return self.forward_once(x, profile) # single-scale inference, train
File "/app/yolov5-streamlit/models/yolo.py", line 139, in forward_once
x = m(x) # run
File "/home/appuser/venv/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "/home/appuser/venv/lib/python3.7/site-packages/torch/nn/modules/upsampling.py", line 154, in forward
recompute_scale_factor=self.recompute_scale_factor)
File "/home/appuser/venv/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1186, in getattr
type(self).name, name))
Hey there ๐ Just wanted to let you know that your app on Streamlit Cloud deployed from this repo has gone over its resource limits. Access to the app is temporarily limited. Visit the app to see more details and possible solutions.
when i try to use video detection, the algorithm works fine, but doesnt save the video file, and doesnt show on the screen.
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