Using pretrained neural networks as feature extractors

Hi all,

We’ve released the ability for DSP blocks to host pretrained neural networks. This enables you to use any NN as a feature extractor. For example, PoseNet to first get pose vectors before training a small classifier. This flow is 100% compatible with our deployment pipeline, so you can compile this impulse to any hardware (that supports the ops of the model). Here’s an example using PoseNet: GitHub - edgeimpulse/pose-estimation-processing-block

We’ll be updating the docs in the coming week (and show some more demo’s, e.g. around complex sensor fusion that this also enables), but wanted to share this w/ the community immediately :slight_smile:

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