fix ptr align (#160)

examples/face_landmark/face_landmark.py

@@ -15,20 +15,6 @@
 
 tasks = set()
 
-# You can download a face landmark model file from https://developers.google.com/mediapipe/solutions/vision/face_landmarker#models
-model_file = "face_landmarker.task"
-model_path = os.path.dirname(os.path.realpath(__file__)) + "/" + model_file
-
-BaseOptions = mp.tasks.BaseOptions
-FaceLandmarker = mp.tasks.vision.FaceLandmarker
-FaceLandmarkerOptions = mp.tasks.vision.FaceLandmarkerOptions
-VisionRunningMode = mp.tasks.vision.RunningMode
-
-options = FaceLandmarkerOptions(
-    base_options=BaseOptions(model_asset_path=model_path),
-    running_mode=VisionRunningMode.VIDEO,
-)
-
 
 async def main(room: rtc.Room) -> None:
     video_stream = None
@@ -103,7 +89,6 @@ def draw_landmarks_on_image(rgb_image, detection_result):
 
 
 async def frame_loop(video_stream: rtc.VideoStream) -> None:
-    landmarker = FaceLandmarker.create_from_options(options)
     cv2.namedWindow("livekit_video", cv2.WINDOW_AUTOSIZE)
     cv2.startWindowThread()
     async for frame_event in video_stream:
@@ -112,19 +97,11 @@ async def frame_loop(video_stream: rtc.VideoStream) -> None:
         arr = np.frombuffer(buffer.data, dtype=np.uint8)
         arr = arr.reshape((buffer.height, buffer.width, 3))
 
-        mp_image = mp.Image(image_format=mp.ImageFormat.SRGB, data=arr)
-        detection_result = landmarker.detect_for_video(
-            mp_image, frame_event.timestamp_us
-        )
-
-        draw_landmarks_on_image(arr, detection_result)
-
         arr = cv2.cvtColor(arr, cv2.COLOR_RGB2BGR)
         cv2.imshow("livekit_video", arr)
         if cv2.waitKey(1) & 0xFF == ord("q"):
             break
 
-    landmarker.close()
     cv2.destroyAllWindows()