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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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blank screen #14

Closed jonathan-ko closed 1 year ago

jonathan-ko commented 1 year ago

Hi, I built the TinyEngine tutorial with zero errors. Then, after the download, the screen goes black immediately. No errors are mentioned. No warnings either. Any thoughts or advice?

image

liuruiqi0520 commented 1 year ago

I had a similar problem

RaymondWang0 commented 1 year ago

Hi @jonathan-ko and @liuruiqi0520, here are the debugging suggestions for your problems: 1) Please check whether you download the correct version (1.5.0) of STM32CubeIDE for the tutorial. 2) Please check whether you have the same equipment as ours. 3) Please check whether your PIN connection between Arducam and the board is correct (Step 4 in the tutorial).

jonathan-ko commented 1 year ago

Thank you "download the correct version (1.5.0)" was my problem -- I downloaded the newest 1.10 -- warning to others.

tonylins commented 1 year ago

I will close the issue since the problem is solved. Feel free to reopen.

liuruiqi0520 commented 1 year ago

Hello! Your answer perfectly solves my problem. I impressed by your excellent work in the field of TinyML and studied the source code of MCUNet and Once-for-all, But when I try to replicate TinyNAS with the method in the Once-for-all, I can't find the pre training weight of the supernet used in MCUNet, could you please release the pre training weight? It would be very helpful for my next work and I would greatly appreciate if you could reply me.

------------------ 原始邮件 ------------------ 发件人: "mit-han-lab/tinyengine" @.>; 发送时间: 2022年11月7日(星期一) 晚上10:38 @.>; 抄送: "( /。\ @.**@.>; 主题: Re: [mit-han-lab/tinyengine] blank screen (Issue #14)

Hi @jonathan-ko and @liuruiqi0520, here are the debugging suggestions for your problems:

Please check whether you download the correct version (1.5.0) of STM32CubeIDE for the tutorial.

Please check whether you have the same equipment as ours.

Please check whether your PIN connection between Arducam and the board is correct (Step 4 in the tutorial).

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: @.***>