as already discussed last December with @MWMathis and @AlexanderMathis, I am using DLC for human pose estimation (golf swing). The aim is to achieve maximum accuracy in detecting the joints of the person. Therefore I am looking for the perfect settings in
pose_cfg.yaml. Currently i use following:
- TrainingFraction: 0.8 as in the cheetah project
- batch_size: 1
- global_scale: 1
- init_weights: mpii-single-resnet-101
- intermediate_supervision: true
- intermediate_supervision_layer: 12 (does a different layer # might result in more accurate results?)
- mirror: true
Does cluster_color=False/True of
deeplabcut.extract_frames() has an impact of the accuracy? maybe gets more information when turning cluster_color=True?
Is there something else to consider when trying to achieve maximum accuracy?