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Live Video Feed Processing in OpenCV
In OpenCV, capturing a live video feed involves reading and displaying frames continuously in a loop.
import cv2 # 0 is the default camera; otherwise specify an index cap = cv2.VideoCapture(0) while True: # ret is a boolean indicating if the frame was successfully read ret, frame = cap.read() cv2.imshow('frame', frame) # waitKey(1) refreshes the display and allows termination via the 'q' key if cv2.waitKey(1) == ord('q'): break cap.release() cv2.destroyAllWindows()
This approach functionally relies on the image display method, running it repeatedly to simulate live video. The cv2.waitKey(1) method is essential to update the window and process GUI events.
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Updated 2026-07-05
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