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