Features

Speed


Works super real-time even with multiple persons in a frame on consumer-grade CPUs.

Robust


Dedicated person-detector enables to estimate Poses robustly in dynamic real-life scenarios.

End to End


Expects rgb[Uint8] data in a Numpy array and returns bounding-boxes in absolute coordinates. Made for developers and creators.

Versatile


No versioning constraints, just Python3 and Numpy. Run it anywhere from a VPS to a local system.

Limitations

Latency


Person-detection part of pipeline runs in constant time, but pose keypoints would have to calculated separately for each person-detected leading to higher latency. See benchmarks.

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