Created
November 17, 2023 12:15
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Find clapper board in video
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| import cv2 | |
| import numpy as np | |
| def detect_clapperboard(frame, clapperboard_template): | |
| # Convert the frame to grayscale | |
| gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) | |
| # Use template matching to find the clapperboard | |
| result = cv2.matchTemplate(gray_frame, clapperboard_template, cv2.TM_CCOEFF_NORMED) | |
| # Set a threshold for template matching results | |
| threshold = 0.8 | |
| loc = np.where(result >= threshold) | |
| # Draw rectangles around the clapperboard matches | |
| for pt in zip(*loc[::-1]): | |
| cv2.rectangle(frame, pt, (pt[0] + clapperboard_w, pt[1] + clapperboard_h), (0, 255, 0), 2) | |
| # Display the frame with clapperboard detection | |
| cv2.imshow('Clapperboard Detection', frame) | |
| # Load your clapperboard template image | |
| clapperboard_template = cv2.imread('clapperboard_template.png', cv2.IMREAD_GRAYSCALE) | |
| # Get the width and height of the template | |
| clapperboard_w, clapperboard_h = clapperboard_template.shape[::-1] | |
| # Inside the main loop | |
| while cap.isOpened(): | |
| ret, frame = cap.read() | |
| if not ret: | |
| break | |
| detect_clapperboard(frame, clapperboard_template) | |
| if cv2.waitKey(25) & 0xFF == ord('q'): | |
| break | |
| cap.release() | |
| cv2.destroyAllWindows() |
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