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Mazin-Hnewa / MS-DAYOLO

Multiscale Domain Adaptive YOLO for Cross-Domain Object Detection
MIT License
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The map is always 0 when i train in my dataset #14

Open Hyouka-qitanta opened 3 months ago

Hyouka-qitanta commented 3 months ago

I used my own dataset to train in ms-dayolo, the data contains only one class. I have changed the classes and filters in ms-dayolo.cfg file. But the result of map is always 0. For check, i used source domain data to train in original yolov5 and used target domain data to valid. The map is normal, so the labels are fine. And i also used source domain data to replace target data( both of source and target set are use the source domain data), map still 0. I can't find the wrong, what should i do to solve this problem?

Hyouka-qitanta commented 3 months ago

And the loss is also 0 捕获

LLLshadow commented 1 month ago

hi,i encountered the same problem,could you tell me how did you solve it? thanks a lot!

Hyouka-qitanta commented 1 month ago

Sorry, I didn't solve this problem.

biubiu @.***

 

------------------ 原始邮件 ------------------ 发件人: "Mazin-Hnewa/MS-DAYOLO" @.>; 发送时间: 2024年9月11日(星期三) 晚上11:06 @.>; @.>;"State @.>; 主题: Re: [Mazin-Hnewa/MS-DAYOLO] The map is always 0 when i train in my dataset (Issue #14)

hi,i encountered the same problem,could you tell me how did you solve it? thanks a lot!

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