qgh1223

And the result without onnx and with onnx is different.Why?

Please tell me where I should change the config file.

I know the problem.But the result is a little strange.I get the result like [330, 640, 330, 665].Why?

The weight should be correct.I get the correct result without using onnx by using detect.py

I found there is another problem. Layer of type yolo not supported, skipping ONNX node generation. Error in onnx generation.It cause the wrong detection result?How to solve

I don't change the config file except the num_classes value.

I'm interested in your work.I research dense object detection recently

When will upload the source code?