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Zhongdao / UniTrack

[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset).
MIT License
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scikit-learn version error #46

Open kojikojiprg opened 1 year ago

kojikojiprg commented 1 year ago

I use scikit-learn==1.1.2 on my project and I also use Unitrack as a submodule. However, Unitrack uses scikit-learn==0.22, which version is too old.

So, import error is occured in utils/mask.py line.16.

from sklearn.metrics import jaccard_similarity_score

jaccard_similarity_score is deleted from scikit-learn >= 0.23. (And it isn't used in utils/mask.py, so it can be deleted.)

Will you update scikit-learn? If scikit-learn is updated, it might be some other errors will be occured.