Application on VIVID
Prof. Lai continues to give examples of VIVID: Virtual Environment for Visual Deep Learning. The ultimate goal of VIVID is to simulate real-life events. One of the examples is campus shooting events. How to identify the shooter?
Another application of VIVID is wildfire escape. In the slide, a robot is running and trying to find a way out; the right one is earthquake rescue. A drone is flying in a ruined school to search for survivors. More examples are shown on our GitHub.
This will also conclude this week’s speech. In conclusion, VIVID is created for learning various computer vision tasks. It provides deep learning-friendly API. and It is easy to use with python examples and pre-compiled binaries. Finally, It can initiate research on real-life event simulation.
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