Bokep
- Viewed 9k timesanswered May 12, 2021 at 9:23
I could run the example mentioned in https://github.com/ultralytics/yolov5/issues/251 successfully. My torch version is 1.8.0.
Probably your weights file best.pt has invalid values. Did you ever try to use the weights file in above link to export the module successfully?
BTW: you can find examples in https://github.com/microsoft/onnxruntime/tree/master/samples/c_cxx for usage of ONNXRuntime C++ api to run it.
Content Under CC-BY-SA license ultralytics/yolov5: YOLOv5 in PyTorch > ONNX - GitHub
WEBWe trained YOLOv5-cls classification models on ImageNet for 90 epochs using a 4xA100 instance, and we trained ResNet and EfficientNet models alongside with the same default training settings to compare. We …
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WEBTrain Yolov5 on your custom dataset; Export Weights PyTorch weights to ONNX; Make sure you use the ---dynamic flag while exporting your custom weights.
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