Comments (1)
Hello, I read your question and it seems I have the solution for you, basically you need to convert this PyTorch based model into ONNX.
ONNX stands for Open Neural Network Exchange. It is an open format built to represent machine learning models. all major ML platforms such as TensorRT or Pytorch supports this, developing in ONNX has many advantages such as your model can be converted to any platform. For your help I found a quick reference to a link which may give you a head start to achieve what you want!
from social-distancing-using-yolov5.
Related Issues (10)
- licence HOT 2
- How to use the code for other object categories like 'boat' & 'car' etc?
- image support? HOT 2
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- Issue HOT 1
- Question HOT 1
- How to count people with high risk and low risk
- Could you point out the code you wrote/integrated to implement this social distancing into yolov5?
- 'No images or videos found in %s. Supported formats are:\nimages: %s\nvideos: %s' HOT 1
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