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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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How to export and import weights of the model after on-device training? #86

Open VisionShilin opened 1 year ago

VisionShilin commented 1 year ago

Hi,

It is a great project. Thanks for your contribution.

How to export and import weights of the model after on-device training?

Best, Lin

VisionShilin commented 1 year ago

How to get the model and data file such as "49kb-int8-graph.json" and "full-int8-params.pkl" ?