When I run get_face_tracking.py, I found that the performance isn't that great like the gif in README introduction. It's mainly because the following code line is the most time consuming. Even though, face detection only takes 20ms/frame and tracking only takes 1ms/frame while using CPU. The following code takes almost 200ms. So it's not real-time. Is there any improvement? Thank you!
ids, scores, bboxes = [xx[0].asnumpy() for xx in result]
When I run get_face_tracking.py, I found that the performance isn't that great like the gif in README introduction. It's mainly because the following code line is the most time consuming. Even though, face detection only takes 20ms/frame and tracking only takes 1ms/frame while using CPU. The following code takes almost 200ms. So it's not real-time. Is there any improvement? Thank you!
ids, scores, bboxes = [xx[0].asnumpy() for xx in result]