Convert pytorch model to onnx model using this link: https://github.com/fire717/movenet.pytorch/tree/6eb59cd47bfde753530ed236...
then converted onnx to dlc using snpe 2.9
torch version: 2.0.0
onnx version:1.6.0
numpy v1.16.5
- protobuf v3.6.0
datatype: float32
When comparing output generated using onnx model and output generated using dlc model, getting huge difference.
Does anyone else faced same issue? Is there any way to debug and resolve it?
Dear developer,
What's backend in your application?
You also could compare the results generated by SNPE-CPU to check if any accuracy happened.
BR.
Wei