Extract Video Frames from Webcam and Save to Images using Python

There are two libraries you can use: OpenCV and ImageIO. Which one to choose is situation-dependent and it is usually best to use the one you are already more familiar with. If you are new to both then ImageIO is easier to learn, so it could be a good starting point. Whichever one you choose, you can find examples for both below:

ImageIO

Installation:

pip install imageio[ffmpeg]

Usage:

Reading frames from a webcam and saving them as images:

Python3

import imageio.v3 as iio

for frame_count, frame in enumerate(iio.imiter("<video0>")):
    iio.imwrite(f"frame_{frame_count}.jpg", frame)
    if frame_count > 10:
        break

Reading frames from a video and saving them as images:

Python3

import imageio.v3 as iio

for frame_count, frame in enumerate(iio.imiter("path/to/video.mp4")):
    iio.imwrite(f"frame_{frame_count}.jpg", frame)

OpenCV

Installation:

pip install opencv-python

Usage:

Reading frames from a webcam and saving them as images:

Python3

import cv2

# Opens the inbuilt camera of laptop to capture video.
cap = cv2.VideoCapture(0)
i = 0

while(cap.isOpened()):
    ret, frame = cap.read()

    # This condition prevents from infinite looping
    # incase video ends.
    if ret == False:
        break

    # Save Frame by Frame into disk using imwrite method
    cv2.imwrite('Frame'+str(i)+'.jpg', frame)
    i += 1

cap.release()
cv2.destroyAllWindows()

Output:

Reading frames from a video and saving them as images:

Python3

import cv2

# Opens the inbuilt camera of laptop to capture video.
cap = cv2.VideoCapture("path/to/video.mp4")

success, image = cap.read()
frame_count = 0
while success:
    cv2.imwrite(f"extracted_images/frame_{frame_count}.jpg", image)
    success, image = cap.read()
    frame_count += 1

cap.release()