deepmask – state of the art image segmentation and labelling from Facebook

Some every interesting software from Facebook’s AI Research that implements segmentation and labelling of images. Code is available on GitHub that uses Torch as its AI engine. Could be a good addition to rtndf as part of a video pipeline. Even if the segmentation and labelling is slower than real time, it’s possible to use a bypass system to keep the frame rate up while also processing selected key frames. This is done by the OpenFace PPE already. As things may move between key frames in a video pipeline, a strategy might be to buffer frames after the first key frame until the results from the second key frame are available and interpolate the segmentation results for the intermediate frames. Then, the buffered frames can be played out at the correct rate. Obviously this adds latency but might be acceptable in some situations.

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