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Hello,
Thank you for sharing a great project.
When yolov3.pt is converted to onnx, you can check the output as 371, 391, output, not classes and boxes.
The output should come out as classes, boxes, and the question about this is:
Any advice would be appreciated.
Hi @leeyunhome, checking from the screenshot of output here, your model is not ouputing classes and boxes, but feature maps (has commented in your other issue).
Please check my YOLOV4 project - It has the same kind of outputs. I think you will need to change the shapes array by [] { 80, 40, 20} - see here
For the post-processing, you can find an implementation onnms (non-max suppression) here.
Hello,
Thank you for sharing a great project.
When yolov3.pt is converted to onnx, you can check the output as 371, 391, output, not classes and boxes.
The output should come out as classes, boxes, and the question about this is:
Any advice would be appreciated.
You can check my situation at the following address.
https://github.com/ultralytics/yolov5/issues?q=is%3Aissue+is%3Aopen+onnx
Thank you.
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