1.0.0 official release (#18)

* fix bug in fix_BN

* gaitgl OUMVLP support.

* update ./doc/3.advance_usage.md Cross-Dataset Evalution & Data Agumentation

* update config

* update docs.3

* update docs.3

* add loss doc and gather input decorator

* refine the create model doc

* support rearrange directory of unzipped OUMVLP

* fix some bugs in loss_aggregator.py

* refine docs and little fix

* add oumvlp pretreatment description

* pretreatment dataset fix oumvlp description

* add gaitgl oumvlp result

* assert gaitgl input size

* add pipeline

* update the readme.

* update pipeline and readme

* Corrigendum.

* add logo and remove path

* update new logo

* Update README.md

* modify logo size

Co-authored-by: 12131100 <12131100@mail.sustech.edu.cn>
Co-authored-by: noahshen98 <77523610+noahshen98@users.noreply.github.com>
Co-authored-by: Noah <595311942@qq.com>

lib/modeling/modules.py

@@ -191,10 +191,3 @@ def RmBN2dAffine(model):
         if isinstance(m, nn.BatchNorm2d):
             m.weight.requires_grad = False
             m.bias.requires_grad = False
-
-
-def fix_BN(model):
-    for module in model.modules():
-        classname = module.__class__.__name__
-        if classname.find('BatchNorm2d') != -1:
-            module.eval()