YOLOv5n6 when exported to ONNX from PyTorch increases model size

ShubhamNagarkar commented 2 years ago

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Question

A custom trained pytorch YOLOv5n6 model has a size of 6.3MB. But when I used the python export.py using the best.pt, the exported onnx model's size is 13.1MB. Is there specific reason for it? Also, if --dynamic flag is not used, the inference speed goes to 224ms as against pytorch model's inference speed which is 28ms. I appreciate any help or suggestion to tackle this issue. Thank you.

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github-actions[bot] commented 2 years ago

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glenn-jocher commented 2 years ago

@ShubhamNagarkar PyTorch models are saved in FP16, ONNX exports by default are FP32. See export.py argparser for export options.

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