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Because we currently placed both pre-processing (interpolation operator) and post-processing (nms) into the ONNX graph. I did a quick check of SNPE's documentation and seems that they don't support these ops very well.
I guess we can use the export.py in ultralytics/yolov5 with
🚀 The feature
Hello again
do you offer onnx model that can be simplified?
Motivation, pitch
I am trying to use yolov5 on qualcomm snpe(https://developer.qualcomm.com/sites/default/files/docs/snpe/overview.html) and would need the onnx model to be compatible.
Alternatives
No response
Additional context
No response
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