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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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screen too dark #52

Closed Super-Karl closed 1 year ago

Super-Karl commented 1 year ago

Hi, thanks for your work. I tried the tutorial without a camera and the MCU board is the same as yours. It can detect if there is a person in the picture. But the screen was too dark. Where can I adjust to make the screen brighter.

meenchen commented 1 year ago

Hi @Super-Karl,

Thanks for trying our tutorial. Unfortunately, we are not sure how to do that either. I would recommend posting this issue in the STM dev community to see if someone can help.

meenchen commented 1 year ago

Close due to inactivity. Feel free to reopen.