I was able to successfully run a test video in my trained deeplabcut network and the feature I’m tracking was labelled as well.
I wanted to extract images from this video to run image classification on frames which contain the tracked feature. However, I’m not sure about an easy way to do this because even if the resulting video contains labeled frames of my tracked feature, it also includes frames where the feature isn’t present.
Therefore I would like to avoid feeding unusable frames into my image classification algorithm on TensorFlow. As my datasets are bound to get very large is there any way to automatically extract labeled frames from the test video?