Untitled

@socketio.on('image_squat')
def handle_squat_image(data):
    global squat_counter, squat_stage, squat_tips
    img_data = data['image']
    img_data = base64.b64decode(img_data)
    nparr = np.frombuffer(img_data, dtype=np.uint8)
    image = cv2.imdecode(nparr, cv2.IMREAD_COLOR)

    results = pose.process(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))

    if results.pose_landmarks:
        landmarks = results.pose_landmarks.landmark

        l_hip = [landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].x * image.shape[1],
                 landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].y * image.shape[0]]
        l_knee = [landmarks[mp_pose.PoseLandmark.LEFT_KNEE.value].x * image.shape[1],
                  landmarks[mp_pose.PoseLandmark.LEFT_KNEE.value].y * image.shape[0]]
        l_ankle = [landmarks[mp_pose.PoseLandmark.LEFT_ANKLE.value].x * image.shape[1],
                   landmarks[mp_pose.PoseLandmark.LEFT_ANKLE.value].y * image.shape[0]]
        l_angle = calculate_angle(l_hip, l_knee, l_ankle)

        update_stage_and_counter_squat(l_angle, 'left')
        draw_annotations_squat(image, results, l_angle)

    _, buffer = cv2.imencode('.jpg', image)
    response_image = base64.b64encode(buffer).decode('utf-8')
    emit('response', {'image': response_image, 'data': {
        'reps': squat_counter,
        'stage': squat_stage
    }})