PoseNet runs with either a single-pose or multi-pose detection algorithm. The single person pose detector is faster and more accurate but requires only one subject present in the image.

The output stride and image scale factor have the largest effects on accuracy/speed. A higher output stride results in lower accuracy but higher speed. A higher image scale factor results in higher accuracy but lower speed.

This is a Pure Javascript implementation of: PoseNet.

Thank you TensorFlow.js for your flexible and intuitive APIs.