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mit-han-lab / mcunet

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
https://mcunet.mit.edu
MIT License
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The model for person detection #4

Open slimwangyue opened 2 years ago

slimwangyue commented 2 years ago

Thanks for the great work. Could you also provide the model and demo codes for person detection task?

tonylins commented 2 years ago

Hi, thanks for the interests in our work. The detection model requires some extra operator support from the TinyEngine side. We will see if we can also add that when releasing the TinyEngine.

tonylins commented 2 years ago

Hi, we have added the person detection tflite model to the repo. To deploy the model, we still need support from the engine side. Please stay tuned for the TinyEngine release!

find1dream commented 2 years ago

Hi, thanks for the great work. Can you also provide 8 bit quantized tflite model or the training code for person detction? It will be pretty cool to run this model on microcontroller in high frame rate like 60FPS.

dongxuemin666 commented 2 years ago

could you please provide the float torch model in main page, really appreciate that

sag3011kumbari commented 1 year ago

how to change the person detection tflite model to any our coustom object detection model

sag3011kumbari commented 1 year ago

@tonylins could you explain the changing to coustom object detection model.