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Hello, mate @elyha7 .
I'm trying to convert face detector to onnx via your "export.py" file and have some issue:
after convertion output sizes don't fit with output sizes from loaded model ("model = YoloDetector( ... )")
Is it ok? And I'm confused, which postprocessing I need to do with these outputs? Any ideas?
P.S. thx a lot for your repo))
The text was updated successfully, but these errors were encountered:
I want to use "export.py" file to convert detector to onnx but I got a mistake [KeyError: 'model' ] in torch.load(w, map_location=map_location)['model'].float().fuse().eval()". This code in function attempt_load in "experimental.py" file.
It maybe in "torch.load" hasn't key " model",but why?
Hello, mate @elyha7 .
I'm trying to convert face detector to onnx via your "export.py" file and have some issue:
after convertion output sizes don't fit with output sizes from loaded model ("model = YoloDetector( ... )")
Is it ok? And I'm confused, which postprocessing I need to do with these outputs? Any ideas?
P.S. thx a lot for your repo))
The text was updated successfully, but these errors were encountered: