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import cv2 |
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import numpy as np |
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def main(): |
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cap = cv2.VideoCapture(0) |
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backSub = cv2.createBackgroundSubtractorMOG2(history=500, varThreshold=16, detectShadows=True) |
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if not cap.isOpened(): |
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print("خطا در باز کردن دوربین") |
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return |
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while True: |
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ret, frame = cap.read() |
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if not ret: |
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print("خطا در خواندن فریم") |
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break |
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fgMask = backSub.apply(frame) |
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kernel = np.ones((5, 5), np.uint8) |
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fgMask = cv2.morphologyEx(fgMask, cv2.MORPH_CLOSE, kernel) |
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fgMask = cv2.morphologyEx(fgMask, cv2.MORPH_OPEN, kernel) |
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contours, _ = cv2.findContours(fgMask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) |
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for contour in contours: |
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if cv2.contourArea(contour) > 500: |
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x, y, w, h = cv2.boundingRect(contour) |
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cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2) |
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cv2.imshow('Frame', frame) |
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cv2.imshow('Foreground Mask', fgMask) |
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if cv2.waitKey(1) & 0xFF == ord('q'): |
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break |
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cap.release() |
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cv2.destroyAllWindows() |
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if __name__ == "__main__": |
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main() |
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