When performing egocentric alignment and creating the training dataset in the "Data Organization" tab, would it be possible to generate and save a table with the following information?
Rows = Sessions
Column-1 = # of frames interpolated over due to low DLC likelihood value (# of NaN frames after pose_confidence thresholding).
Column-2 = same as column-1, but represented as % of total frames, relative to the length of that session.
Note: Columns 1 and 2 are for values generated after vame.egocentric_alignment().
Column-3 = # of frames interpolated over due to IQR outlier status.
Column-4 = same as column-3, but represented as % of total frames, relative to the length of that session.
Note: Columns 3 and 4 are for values generated after vame.create_trainingset().
Column-6 = summarize rescaled egocentric coordinates by showing the global min and max of the new X and Y coordinate time series (for all body parts combined, not individual bodyparts). Format should be column 5 (X min, x max), column 6 (y min, y max).
When performing egocentric alignment and creating the training dataset in the "Data Organization" tab, would it be possible to generate and save a table with the following information?
Rows = Sessions Column-1 = # of frames interpolated over due to low DLC likelihood value (# of NaN frames after pose_confidence thresholding). Column-2 = same as column-1, but represented as % of total frames, relative to the length of that session. Note: Columns 1 and 2 are for values generated after vame.egocentric_alignment().
Column-3 = # of frames interpolated over due to IQR outlier status. Column-4 = same as column-3, but represented as % of total frames, relative to the length of that session. Note: Columns 3 and 4 are for values generated after vame.create_trainingset().
Column-6 = summarize rescaled egocentric coordinates by showing the global min and max of the new X and Y coordinate time series (for all body parts combined, not individual bodyparts). Format should be column 5 (X min, x max), column 6 (y min, y max).