how to use my trained pytorch model into android project?
billhyde opened this issue · comments
hi,thanks for sharing~ if I trained my own model ,how to convert it into android project and how to do inference in android? thanks~
you can save ONNX model and then transform to Caffe model.
Hi,thank you for reply. Is your Android example use caffe model? If you did not use the caffe framework, would you tell me what Deep learning framework you use?
I tested the android example ,it's pretty good, but i can not find the android infercence C++ source code. I want to use my own train pytorch model in android example like you,please help me,thanks .
No, I don't use Caffe on Android. NCNN is a good choice for Android.
we have trained a pytorch model and then convert to onnx model, the onnx model can be loaded and runned by python and get same predict score as pytorch model.
and then we convert onnx to ncnn using ncnn tool 'onnx2ncnn', we can load and run the ncnn model but predict is error, can you share you method, thanks
Can someone please provide your pretrained model with inference code in python
we have trained a pytorch model and then convert to onnx model, the onnx model can be loaded and runned by python and get same predict score as pytorch model.
and then we convert onnx to ncnn using ncnn tool 'onnx2ncnn', we can load and run the ncnn model but predict is error, can you share you method, thanks
Can you share how accurate you get with the model?