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The NMS-Resampling method is very useful and easy to understand.
However, I have found that applying the official implementation in Python (see here) really slows the training process.
I have managed to implement it in C++ and integrate it in mmcv, which in my case gives between 3x and 4x speed-ups in the whole training process.
If you are interested, I can create a pull request with the code and the instructions to make use of this faster implementation. I think that this make help pepople using this useful tool.
Best regards!
The text was updated successfully, but these errors were encountered:
Thanks for your interests! Sure, it is great to integrate your better implementation into this repo if it has no compatibility issues. Thanks for your contribution! Did you integrate NMS sampling into official mmcv or mmdet repo?
I have not integrated in the official repositories, but it should be something easy to do.
Indeed, it could be interesting to try a pull request to those repositories in the future.
Regarding this repo, I would prepare a PR (inlcuding the code and instructions) in the following weeks and let you know once it's ready.
The NMS-Resampling method is very useful and easy to understand.
However, I have found that applying the official implementation in Python (see here) really slows the training process.
I have managed to implement it in C++ and integrate it in mmcv, which in my case gives between 3x and 4x speed-ups in the whole training process.
If you are interested, I can create a pull request with the code and the instructions to make use of this faster implementation. I think that this make help pepople using this useful tool.
Best regards!
The text was updated successfully, but these errors were encountered: