33 lines
1.0 KiB
Python
33 lines
1.0 KiB
Python
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import cv2
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# Stream URL
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stream_url = "https://ls.tkchopin.pl:9043/live/wejherowo_skrzyzowanie_rybacka_k6_static.stream/playlist.m3u8"
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# Open video stream with reduced buffer size for low latency
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cap = cv2.VideoCapture(stream_url)
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cap.set(cv2.CAP_PROP_BUFFERSIZE, 1) # Reduce frame buffering for lower latency
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if not cap.isOpened():
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print("Error: Could not open stream")
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else:
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# Read and discard old frames (capture only the latest available one)
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for _ in range(5): # Adjust this number for better latency
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ret, frame = cap.read()
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if ret:
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# Define the cropping region (modify these values as needed)
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x, y, width, height = 640, 0, 640, 130 # Upper-right corner
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# Crop the frame
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cropped_frame = frame[y:y+height, x:x+width]
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# Save the cropped frame
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cv2.imwrite("cropped_frame.jpg", cropped_frame)
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print("Cropped frame saved as 'cropped_frame.jpg'")
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else:
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print("Error: Could not capture frame")
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# Release resources
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cap.release()
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cv2.destroyAllWindows()
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