Deep Learning for Computer Vision

Splitting videos into frames

A video can be converted to frames and saved in a directory for further usage. Splitting into frames helps us save time by decompressing the video before the training process. First, let's see a code snippet for converting video to frames:

import cv2video_handle = cv2.VideoCapture(video_path)frame_no = 0while True:  eof, frame = video_handle.read()  if not eof:      break  cv2.imwrite("frame%d.jpg" % frame_no, frame)  frame_no += 1

Using this snippet, all of the preceding datasets can be converted to frames. Note that this will require a lot of hard disk space.