How to run PoseNet model and save data points for multiple images?

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  • yoga-pose-estimation

    Discontinued Model to classify yoga pose type and estimate joint positions of a person from an image

  • Or OpenPose yoga pose classifier, though I prefer OpenPifPaf because it deploys quicker and easier.

  • Face Recognition

    The world's simplest facial recognition api for Python and the command line

  • You feed the 17 landmark pairs as 34 inputs into a feed forward regression network (last time I did this I just tweaked something like this) with 34 pairs. However, it can help a lot to also add in the face detection to speed this up. So if you were to combine the landmarks from face detection as well like this face recognition and expand up to include the landmarks which helps I've found.

  • 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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  • yoga-pose-CNN

    Simple image classification convolutional neural net and prediction for 10 different yoga poses

  • Other people have used CNNs to do this: https://github.com/amarchenkova/yoga-pose-CNN/ I haven't played with this.

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