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# Conflicts: # deeplabcut/pose_estimation_tensorflow/datasets/augmentation.py # deeplabcut/pose_estimation_tensorflow/datasets/pose_multianimal_imgaug.py # docs/maDLC_UserGuide.md
MMathisLab
approved these changes
Jul 28, 2021
# Conflicts: # deeplabcut/pose_estimation_tensorflow/datasets/pose_multianimal_imgaug.py
details on ratio
AlexEMG
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Aug 4, 2021
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AlexEMG
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Looks great -- let's make spatial uniform 50% and key point-density 50% the default.
AlexEMG
approved these changes
Aug 5, 2021
AlexEMG
approved these changes
Aug 5, 2021
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Image cropping in multi-animal projects is now part of the augmentation pipeline, avoiding cluttered labeled-data folders and simplifying a great number of steps of the DeepLabCut workflow (dataset creation, label checking, network evaluation, etc.).