tangsipeng

> > > 问题解决了，打扰了。是我自己编译的问题。 > > > > > > 请问如何解决的，我在vs2017上运行也很慢 > > 你有编成release版么？我好像用g++编译的时候编成release版，然后加了一点儿优化项就很快了。 你好，请问自己编译的release版本测试帧率是多少? 分辨率是多少？ 精确率如何？

@chenghan1995 found the same problem train on reid-strong-baseline myself and get The test feature is normalized 2020-01-06 16:12:57,226 reid_baseline.inference INFO: Validation Results 2020-01-06 16:12:57,226 reid_baseline.inference INFO: mAP: 85.7% 2020-01-06 16:12:57,226...

@Tracin 请问中文训练效果如何？

and i found many missing labels，such like 88fb29e99f00706c，i draw all labels that human‘s related. 

> > > The images I downloaded does not match the label files either. Could anyone give a hit which version of data I should download. as the paper says...

pytroch 1.1 and torchvision 0.3.0 . only d0 cant train normaly ,

@quangtn266 i mean only d0 don't meets the problem .

i can train normal now , see the code of 'class EfficientDet' . maybe do test after 10 or more epochs can work well , but at the same time...

sorry,i still don't understand. how can i have one image that have different noises. unless i have a clean image that i can produce different noises

thank you, i got it