Video Preprocessor and Augmentation for Deep Learning tasks

With the growing demand for Video classification and recognition models for several video-processing tasks, it is important to understand how to process videos using python libraries. So in this article, we are going to see how we can process our raw video data and tune them accordingly for our specific needs. As you might be familiar that videos are nothing but stacked up images in form of frames so a video is having multiple numbers of frames combined to form a Video. I will be using the Weizmann video dataset for our processing purpose. The main folder of the dataset should have the following structure you can also edit names of subfolders for better redirection whiles inputting data from these subdirectories.