mit-han-lab / tinyengine

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory
https://mcunet.mit.edu
MIT License
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Building a Custom Pipeline on Person Detection Example #99

Open Elgeweily opened 3 months ago

Elgeweily commented 3 months ago

Is it possible to add custom components to the Person Detection Example, for example to take the Person detection bounding boxes, and pass it to another model, any guide on where to start?