I was digging through
pose_cfg.yaml files in
train subfolders of
dlc-models and noticed that maDLC uses the following two parameters:
partaffinityfield_graph: - - 0 - 1 - - 0 - 2 - - 0 - 3 ... partaffinityfield_predict: true
Am I correct in assuming this is how the overconnected skeleton is included into training? If so, could the skeleton also be used in training of single animal networks (DLC 2.1.9) by just including these two parameters to appropriate
pose_cfg.yaml files, or is it more involved than that?
Many thanks for your insights!