Removing frames from the training dataset

Is there a way to remove frames from the dataset?

I’ve extracted too many frames for me to label right now. I’ve tried using ```
deeplabcut.dropimagesduetolackofannotation


Or, if I label a portion of the extracted frames, can I use it to train a network as normal?

this would be the correct way to drop frames,i.e. if you delete the images you don’t want from the folder they were extracted into.


def dropannotationfileentriesduetodeletedimages(config):
    """
    Drop entries for all deleted images in annotation files, i.e. for folders of the type: /labeled-data/*folder*/CollectedData_*scorer*.h5
    Will be carried out iteratively for all *folders* in labeled-data.