import cv2

# Stream URL
stream_url = "https://ls.tkchopin.pl:9043/live/wejherowo_skrzyzowanie_rybacka_k6_static.stream/playlist.m3u8"

# Open video stream with reduced buffer size for low latency
cap = cv2.VideoCapture(stream_url)
cap.set(cv2.CAP_PROP_BUFFERSIZE, 1)  # Reduce frame buffering for lower latency

if not cap.isOpened():
    print("Error: Could not open stream")
else:
    # Read and discard old frames (capture only the latest available one)
    for _ in range(5):  # Adjust this number for better latency
        ret, frame = cap.read()

    if ret:
        # Define the cropping region (modify these values as needed)
        x, y, width, height = 640, 0, 640, 130  # Upper-right corner

        # Crop the frame
        cropped_frame = frame[y:y+height, x:x+width]

        # Save the cropped frame
        cv2.imwrite("cropped_frame.jpg", cropped_frame)
        print("Cropped frame saved as 'cropped_frame.jpg'")
    else:
        print("Error: Could not capture frame")

# Release resources
cap.release()
cv2.destroyAllWindows()