Kinect v2 +对象检测API

Question

我试图像这样将这两个家伙结合起来。我在MAC OSX上使用openCV，python 3.6和pylibfreenect2。

with detection_graph.as_default():
    with tf.Session(graph=detection_graph) as sess:
        while True:
            frames = listener.waitForNewFrame()
            color = frames["color"].asarray(np.uint8)
            color = cv2.cvtColor(color, cv2.COLOR_BGRA2BGR)
            color = cv2.cvtColor(color,cv2.COLOR_BGR2RGB)
            color = cv2.resize(color, (1280,720))
            image_np_expanded = np.expand_dims(color, axis=0) #(1, 720, 1280, 3)

            # NOTE for visualization:
            # cv2.imshow without OpenGL backend seems to be quite slow to draw all
            # things below. Try commenting out some imshow if you don't have a fast
            # visualization backend.

            image_tensor = detection_graph.get_tensor_by_name('image_tensor:0')
            # Each box represents a part of the image where a particular object was detected.
            boxes = detection_graph.get_tensor_by_name('detection_boxes:0')
            # Each score represent how level of confidence for each of the objects.
            # Score is shown on the result image, together with the class label.
            scores = detection_graph.get_tensor_by_name('detection_scores:0')
            classes = detection_graph.get_tensor_by_name('detection_classes:0')
            num_detections = detection_graph.get_tensor_by_name('num_detections:0')
            # Actual detection.
            (boxes, scores, classes, num_detections) = sess.run([boxes, scores, classes, num_detections],
                                                                feed_dict={image_tensor: image_np_expanded})
            # Visualization of the results of a detection.
            vis_util.visualize_boxes_and_labels_on_image_array(image_np_expanded, np.squeeze(boxes), 
                                                               np.squeeze(classes).astype(np.int32),
            np.squeeze(scores), category_index, use_normalized_coordinates=True, line_thickness=8)

            cv2.imshow('object detection', color)
            listener.release(frames)

            key = cv2.waitKey(0) & 0xFF
            if key == ord('q'):
                break

        device.stop()
        device.close()
        sys.exit(0)

这不起作用，我认为会议可能会有些混乱，所以我和他们一起玩。它没有帮助。有什么主意吗？