Is there an easy way to add pose estimation into a sequential tensorflow model?

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  • evopose2d

    EvoPose2D is a two-stage human pose estimation model that was designed using neuroevolution. It achieves state-of-the-art accuracy on COCO.

  • You could try EvoPose2D. It uses the TF2 Keras API. It outputs heatmaps, though, so your second network could either work with the heatmaps directly or you could try converting the heatmaps to x,y coordinates by implementing a soft argmax.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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