hardware : x64, rtx 2060
Hello, I am using GitHub - Tianxiaomo/pytorch-YOLOv4: PyTorch ,ONNX and TensorRT implementation of YOLOv4
to make an engine file from cfg/weights
The problem is - the engine is producing nonsensical inference results (zero or infinite-sized bboxes, all confidences are 1)
A very similar-looking issue was described here:
And the this is seemingly happening even before I get ONNX model -
the demo.py in pytorch-YOLOv4 crashes because inference result has infinite-sized bboxes.
I have verified my model/cfg files with both darknet and a simple python opencv-dnn based script.
In both cases I get correct result (for the same image that I used in the demo.py script)
caveat: my opencv-dnn python script was also failing with the same infinity issue, and I fixed it by accident by trying a different opencv version (currently - 220.127.116.11)
I was hoping this would also fix the issue with pytorch-YOLOv4, but no.
Apparently, there’s some weird incompatibility going on and I’ve tried different pytorch versions (1.3, 1.4, 1.5, 1.7.1)
I would appreciate any ideas about what I can try.