I have previously worked with the single animal workflow, but in attempting to use maDLC to track a single animal I’ve encountered an issue.
Extract 20 frames from each of 2 videos and label. Check labels - all looks good.
If I run deeplabcut.create_multianimaltraining_dataset at this stage I get what I expect: a training set of 38 uncropped images (40*0.95)
However, if I run deeplabcut.cropimagesandlabels and verify that the cropped images were produced… then deeplabcut.create_multianimaltraining_dataset I get this bizarre mixture of uncropped images from the first video and cropped images from the second.
Could the issue be related to this error that deeplabcut.cropimagesandlabels throws?
Should the training set used in batch-based training of the network contain only croppped, or cropped and uncropped labeled images?
Thanks for any help,