Move imgaug from core dependencies to TensorFlow extras - #3417
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imgaug has not had a release since 0.4.0 (February 2020). Its pinned transitive dependencies hold back updates of many other packages and block adoption of newer Python versions, which is increasingly painful to maintain in the base install.
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deruyter92
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Yes, this absolutely an improvement. LGTM!
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First of all, thank you for building such a wonderful library and congratulations on the v3 release rewritten on PyTorch 🎉.
While looking through the v3 dependency tree, I noticed that
imgaugcan now be dropped from the core dependencies. It has had no release since 0.4.0 back in February 2020 and is effectively unmaintained. Carrying an abandoned package in the base install is a growing burden, both for long-term maintainability and from a supply-chain security standpoint.Every remaining
import imgauglives underdeeplabcut/pose_estimation_tensorflow/, so it is only used by the older TensorFlow-based workflow. This PR therefore movesimgaugfrom the core dependencies to the TensorFlow extras (tf,tf-cu11,tf-cu12,tf-latest) and regeneratesuv.lockto match.I ran pytest after removing it from the core dependencies and everything passed, so this should be a safe move.