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See initial issue here: #1855
Previous release note: #1863
This release does not introduce extra dependencies. The detection model runs on CPU with a reasonable speed.
DW Openpose preprocessor greatly improves the accuracy of openpose detection especially on hands. Here is a comparison used in our unittest:
Input Image:
Openpose Full (Mis-identified finger/ Missing hand):
DW Pose:
With this pose detection accuracy improvements, we are hyped to start re-train the ControlNet openpose model with more accurate annotations. There is a proposal in DW Pose repository: IDEA-Research/DWPose#2.
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See initial issue here: #1855
Previous release note: #1863
This release does not introduce extra dependencies. The detection model runs on CPU with a reasonable speed.
DW Openpose preprocessor greatly improves the accuracy of openpose detection especially on hands. Here is a comparison used in our unittest:
Input Image:
Openpose Full (Mis-identified finger/ Missing hand):
DW Pose:
With this pose detection accuracy improvements, we are hyped to start re-train the ControlNet openpose model with more accurate annotations. There is a proposal in DW Pose repository: IDEA-Research/DWPose#2.
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