Xiangchao Yan

Results 11 comments of Xiangchao Yan

**I test the image box:** When the ratio of width/height is small, **the regression loss is 0** ` IMAGES\scratches_152.jpg | 26| 1 | 53 | 200 | scratches -- |...

When I **change 26 to 1** and **change 180 to 100,** **the regression loss is not 0** IMAGES\scratches_152.jpg | 1 | 1 | 53 | 200 | scratches -- |...

![image](https://user-images.githubusercontent.com/55578436/87422338-0b046a00-c60b-11ea-94af-f29ccea46322.png)

OK, I have solved this problem by increasing anchor ratios and nums!

> > 贴一下你的preload.js怎么写的截图? > > 抱歉,大佬,最近没留意通知,后面我习惯网页版就没使用桌面版了,那天试了好几次,就是改变不了,后面找到一键汉化的脚本就忘记了,再次抱歉! 可以分享一下脚本吗,我也没法汉化

Can you release the pretraining models on these datasets?

> I tried 8 gpu + 4 batch size. Results are similar. I linearly scale the lr (using 2x) I tried 2 A100 with 2 * 48 batch size,the lr...

> I guess it is too large ( and linear scaling doesn't apply) maybe try some smaller one ? Yeah,I have tried the original lr 0.01 , and the results...

![image](https://user-images.githubusercontent.com/55578436/186056317-9c77e1cf-23ed-408e-b024-2d7c356e938f.png)

![image](https://user-images.githubusercontent.com/55578436/88457011-9ad0d080-ceb5-11ea-8c17-9ffc4df9d6b6.png) ![image](https://user-images.githubusercontent.com/55578436/88457013-9e645780-ceb5-11ea-8615-8d78664fcd20.png) ![image](https://user-images.githubusercontent.com/55578436/88457018-ab814680-ceb5-11ea-94ea-3586a10de734.png)