GuoxingYan

Results 10 comments of GuoxingYan

@makefile @Peng-wei-Yu in BoxGroupOutput layer,the original setting is 0.001, you finally set it?

@makefile @Peng-wei-Yu When I was training, batchsize was equal to 1. There was at least one sample in my own training pictures, but Why is total positive equal to 0...

@makefile Did you try to change the short_size and long_size in train.prototxt?when i only changed the short_size or long_size ,There will be an error。

@makefile thank you very much!!

@makefile Will you have the following problems when training fpn? ![default](https://user-images.githubusercontent.com/32195410/41692344-59f30026-7532-11e8-97cd-2b017255cbd1.png)

@makefile @zhaoweicai @Peng-wei-Yu When I was training, I found that the short_size in detection_data_param in trian.prototxt is 800, which is exactly equal to img_width and img_height in proposal_target_param. So the...

@makefile 你的demo.py 显示无效链接诶。

你复现的是哪一个?作者的小tricks还是挺多的。

> 进行模型剪枝 最后一个epoch的conf是0.001,p肯定低 还有就是你的剪枝这里损失不大,map掉的不多,p掉了主要是因为conf不同 谢谢,我仔细看了下代码,确实是这样,一般情况是0.1,last epoch和剪枝的是0.001.那一般做精度评定的时候,以哪一个为准呢?