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Maybe, not sure. Anyway, if a face isn't detected (which already happens quite rarely), then the match score is going to be so large that BGR/RGB won't matter much.
Thanks for the comments.
At
get_identity_descriptor
.compute_pose_identity_error.py,if the face detection gets failed, it manually crops and pre-processes the image.
and there is no channel conversion(BGR to RGB)
but if face detection gets succeed,
arcface_model.get_input(image)
convert image channels.linki think
cv2.cvtColor(image_cropped, cv2.COLOR_BGR2RGB)
is needed whenimage_cropped
isNone
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