# Display the frame cv2.imshow('frame', frame)
# Press 'q' to exit if cv2.waitKey(1) & 0xFF == ord('q'): break
import cv2
# Here you can process the frame, e.g., convert to grayscale gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
while True: # Capture frame-by-frame ret, frame = cap.read() Nake Yoga 2021-12-04.mp4
# When everything is done, release the capture cap.release() cv2.destroyAllWindows() This example just reads and displays a video. Real analysis would depend on specific features you want to extract.
if not ret: break
# Open the video file cap = cv2.VideoCapture('Nake Yoga 2021-12-04.mp4')