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About pre-trained model #26

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kaiyi98 opened this issue May 5, 2023 · 3 comments
Open

About pre-trained model #26

kaiyi98 opened this issue May 5, 2023 · 3 comments

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@kaiyi98
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kaiyi98 commented May 5, 2023

Thank your great work!
The superpoint_bn.pth and superpoint_v1.pth provided by you have some difference? I want the magicpoint parameter trained from synthetic dataset , which I can train in my dataset rather COCO. Could you share it ?
Thanks!

@shaofengzeng
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Hi, both superpoint_bn.pth and superpoint_v1.pth are superpoint model, not magicpoint model. Training magicpoint is much easier than superpoint, have a try!

@kaiyi98
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kaiyi98 commented May 11, 2023

感谢回复,我用您的代码训练第一步,人造图形训练magicpoint,怎么到20个epoch左右验证损失就收敛了,但是原论文说magicpoint训练了200000个iteration,然后给coco打点,打出来的点效果并不理想。还望解答,谢谢。

@RomanticFisher
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感谢回复,我用你的代码训练第一步,人造图形训练magicpoint,怎么到20个epoch左右验证就收敛了,但是原论文说magicpoint训练了200000个迭代,给coco打点,打出来的点效果不太理想。还望解答,谢谢。

I also tried using magipoint to generate keypoints. The loss has converged, but there is no way to generate reliable keypoints for them in actual images. Even if the threshold is changed to 0.001, it has no effect. If you find any problems, please let me know. Thank you.

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