In our ICCV’19 paper , we propose Temporal Shift Module (TSM), an efficient and light-weight operator for video recognition on edge devices. Here we show that we can build an online hand gesture recognition demo with TSM on Jetson Nano. The model itself can run at 70 FPS on the embedded GPU using only 8 watts.
Here is a recorded video demo:
We provide the code and tutorial of the demo here:
Paper link: https://arxiv.org/abs/1811.08383
Project page: https://tsm-hanlab.mit.edu
Feel free to try it out!
 Ji Lin, Chuang Gan, Song Han, TSM: Temporal Shift Module for Efficient Video Understanding, in ICCV’9