innerlee
commented
3 years ago because of your good encapsulation
More details would be great
Open Whatsetsthisend opened 3 years ago
innerlee
commented
3 years ago because of your good encapsulation
More details would be great
Whatsetsthisend
commented
3 years ago because of your good encapsulation
More details would be great
Because I haven't touched the use of mmcv before, I don't see a Class similar to the model defined in Pytorch
innerlee
commented
3 years ago Learning mmcv is rewarding since, all mm-series share the same architectural design. You will master pose/segmentation/detection/action/super-resulution/... for free once you know it.
The heart of mmcv is the registry system https://mmcv.readthedocs.io/en/latest/registry.html. Each component is registered and defined independently, so you can combine them at will in the config.
Whatsetsthisend
commented
3 years ago Learning mmcv is rewarding since, all mm-series share the same architectural design. You will master pose/segmentation/detection/action/super-resulution/... for free once you know it.
The heart of mmcv is the registry system https://mmcv.readthedocs.io/en/latest/registry.html. Each component is registered and defined independently, so you can combine them at will in the config.
Thank you. I'm still working on converting the .pth model to libtorch. I've made progress. Now there should be the last bug. It should be that the forward() function of the default layer in mmocr uses the parameter “img_metas”, But the transform function torch.jit.trace (model, data) in Python can't parse "img_metas”。 I'll modify the forward function later to get the job done, and then I'll be willing to launch a push to contribute to the git.thank you
Whatsetsthisend
commented
3 years ago First of all, I would like to thank the author for his free and open source, and the efforts of relevant personnel to maintain and answer me carefully. I have completed the C + + transformation of segocr model, but modified the data structure of prediction, so I don't think my current method is particularly good. I will submit the push after I improve it
innerlee
commented
3 years ago @Whatsetsthisend Thanks for your contribution! Sure please make the pull request so that it could help more people
xinsuinizhuan
commented
3 years ago First of all, I would like to thank the author for his free and open source, and the efforts of relevant personnel to maintain and answer me carefully. I have completed the C + + transformation of segocr model, but modified the data structure of prediction, so I don't think my current method is particularly good. I will submit the push after I improve it
how about the C++ version? Could share to us?
Can I deploy the pre training model of "segocr simple baseline." to C + +, such as libtorch, but because of your good encapsulation, I can't simply restore the network structure, so I can't convert. The onnx conversion tool in tool seems to only support crnn network, Can you give us the network structure of the pytorch version of segocr simple baseline or some other useful information，thank you.