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[NeurIPS 2022] AutoLink, a simple and novel unsupervised approach to detect keypoints from single static images

Home Page: https://xingzhehe.github.io/autolink/

License: MIT License

Python 100.00%
keypoint-detection landmark-detection self-supervised-learning unsupervised-learning

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autolink-self-supervised-learning-of-human-skeletons-and-object-outlines-by-linking-keypoints's Issues

KeyError: 'eye_distance', in regress_kp(batch_list), celeba_wild.py.

In regress_kp(bctch_list) from celeba_wild.py, there are only 2 keys 'det_keypoints' and 'keypoints'.
Should I add "'eye_distance': batch['eye_distance'].cpu()" to line 93 of model.py which is originally "out_batch = {'keypoints': batch['keypoints'].cpu(), 'det_keypoints': kp.cpu()}"?
QQ_1720710315921

Code for FewShot3DKP

Hello Dr He. Thanks for your contribution!

I think your CVPR 2023 paper FewShot3DKP (Few-shot Geometry-Aware Keypoint Localization) is very insightful for my current work. Will the code of this work be publicly available?

Thanks!

the location WFLW five keypoints of is very worse!

thanks to this nice work, I try to train autoLink on wflw with five keypoints because of low cuda memory. but I don't get the desired result. Any advice is helpful,this is my result.
图片

this is desired location of keypoints.
图片

No such file or directory in the code 'cub_preprocess.py'

Hello,

I have downloaded the dataset from your recommended website. But when i use the preprocess code to generate '.h5' file for cub_200_2011 dataset, I cant find the file '/cub/CUB_200_2011/cachedir/cub/data/train_cub_cleaned.mat'.

Is it whether generated by yourself or not?

I will be very grateful to your response.

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