for now the solution for feature extractor inference loading is to just not use multiprocessing for loading in frames until I can investigate it more and figure out how to make it work with two videos where you are not necessarily getting the same frames from the workers
but, I tried out inference with sample data and it worked wonders...going to try with yuechen's data as well
need to think more about allowing multiprocessing frame reading for feature extractor inference....I think I can figure it out just need to understand more about how pytorch IterableDataset works
for now the solution for feature extractor inference loading is to just not use multiprocessing for loading in frames until I can investigate it more and figure out how to make it work with two videos where you are not necessarily getting the same frames from the workers
but, I tried out inference with sample data and it worked wonders...going to try with yuechen's data as well