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Message: <blockquote data-quote="IndrajithGamage" data-source="post: 28515552" data-attributes="member: 581741">ChatGPT ගඳ එන්නෙ මට විතරද. <img class="smilie smilie--emoji" loading="lazy" alt="😜" title="Winking face with tongue    :stuck_out_tongue_winking_eye:" src="https://cdn.jsdelivr.net/joypixels/assets/6.6/png/unicode/64/1f61c.png" data-shortname=":stuck_out_tongue_winking_eye:" /><img class="smilie smilie--emoji" loading="lazy" alt="🙏" title="Folded hands    :pray:" src="https://cdn.jsdelivr.net/joypixels/assets/6.6/png/unicode/64/1f64f.png" data-shortname=":pray:" />මට හිතෙන්නෙ උඹ මේ try කරන්නෙ hand gestures වලින් volume අඩු වැඩි කරන එකක් හදන්න වගේ නේද? උඹෙ declaration ටික පොඩ්ඩක් අංජබජල් බං. මේ වගේ try කරලා බලහන්කො.[CODE=python]import cv2import pyautogui# Initialize the webcamcap = cv2.VideoCapture(0)while True:    # Capture the current frame    ret, frame = cap.read()    # Convert the frame to grayscale    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)    # Apply Gaussian blur to the frame    blur = cv2.GaussianBlur(gray, (5,5), 0)    # Apply thresholding to the frame    ret, thresh = cv2.threshold(blur, 60, 255, cv2.THRESH_BINARY_INV)    # Find contours in the frame    contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)        for cnt in contours:        if cv2.contourArea(cnt) > 2000:            x,y,w,h = cv2.boundingRect(cnt)            cv2.rectangle(frame, (x,y), (x+w, y+h), (0,255,0), 2)            cv2.putText(frame, "Hand gesture detected", (50,50), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,0,0), 2)            pyautogui.hotkey('volumeup')        else:            cv2.putText(frame, "No hand gesture detected", (50,50), cv2.FONT_HERSHEY_SIMPLEX, 1, (0,0,255), 2)    # Display the frame    cv2.imshow("Frame", frame)    key = cv2.waitKey(1)    if key == ord('q'):        break# Release the webcam and close the windowcap.release()cv2.destroyAllWindows()[/CODE]</blockquote>

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