I trained Resnet50 successfully with DLC on ground truth data. How can I perform inference with DLC using the best snapshot on a new, unseen video without creating a new training data set again? If I understand correctly the command 'deeplabcut.analyze_videos' requires the inputs 'config_path' and 'shuffle' which are created during the training process.