Python | Program to extract frames using OpenCV

OpenCV comes with many powerful video editing functions. In the current scenario, techniques such as image scanning and face recognition can be accomplished using OpenCV. OpenCV library can be used to perform multiple operations on videos. Let’s try to do something interesting using CV2. Take a video as input and break the video into frame by frame and save those frames. Now, a number of operations can be performed on these frames. Like reversing the video file or cropping the video etc. For playing video in reverse mode, we need only to store the frames in a list and iterate reverse in the list of frames. Use the reverse method of the list to reverse the order of frames in the list. 

Function Used:

VideoCapture(File_path) : Read the video(.mp4 format) 

read(): Read data depending upon the type of object that calls imwrite(filename, img[, params]) : Saves an image to a specified file.

Below is the implementation: 

Python3

# Program To Read video
# and Extract Frames

import cv2

# Function to extract frames
def FrameCapture(path):

    # Path to video file
    vidObj = cv2.VideoCapture(path)

    # Used as counter variable
    count = 0

    # checks whether frames were extracted
    success = 1

    while success:

        # vidObj object calls read
        # function extract frames
        success, image = vidObj.read()

        # Saves the frames with frame-count
        cv2.imwrite("frame%d.jpg" % count, image)

        count += 1


# Driver Code
if __name__ == '__main__':

    # Calling the function
    FrameCapture("C:\\Users\\Admin\\PycharmProjects\\project_1\\openCV.mp4")

Output: