* [ppyolov3] add ppyolov3 base code

* add ppyolov3 s/m/x

* modify ema

* modify code to convert onnx successfully

* support arbitrary shape

* update config to use amp default

* refine ppyolo_head code

* modify reparameter code

* refine act layer

* adapter pico_head and tood_head code

* remove ppyolov3 yaml

* fix codestyle
Co-authored-by: Nwangxinxin08 <wangxinxin08@baidu.com>

* modify the ch_in&ch_out of the BasicBlock

(cherry picked from commit da568e4741f9a3a440ba1f605b8d12299fe4ed23)

* add the type convertion of the ch_in and ch_out & update gitignore

(cherry picked from commit 5b55097c6dab81dbccc187ba13a92b724ffc7ef5)

* revert the changes of gitignore

(cherry picked from commit ffeb72a8cefca6f416c5483756cc67f26f40522f)

This reverts commit 3e0e3585.

* support different norm_type for different module when convert to sync batch norm

* remove BatchNorm in esnet

* refine sync bn

* fix bugs of batch_norm

* fix bugs while deploying and modify BatchNorm to BatchNorm2D

* param_attr -> weight_attr in BatchNorm2D

* modify BatchNorm to BatchNorm2D

* fix assertion bug

* fix assertion bug

* update PicoDet Architecture and config

* fix naive-lite-hrnet backbone

* add WiderNaive-18 model

* add hardnet85 fairmot

* fix hardnet85

* add centernet hardnet fpn, fix config

* update modelzoo

* update modelzoo readme

* remove comments

* add hardnet num_layers assert

* fix hardnet85 config

* add hrnet18 fairmot

* add lite hrnet_w18

* add hrnet dlafpn

* update hrnet18_dlafpn modelzoo

* hrnet18dlafpn modelzoo

* add comments

* set neck not none, update modelzoo

* add faster rcnn with swin_transformer tiny

* add LiteHRNet backbone and config .YML

* test lite18-network param

acc is same with ori-model 1. fix default darkpose=ON, 2. += is not inplace

add new keypoint model Lite-HRNet

* add new keypoint model Lite-HRNet

* 1. Add description of network type; 2. use channel_shuffle in ops.py

* use normal to init conv2d

* add network type description

* add gfl model and PicoDet

Besides removing unnecessary imports, this also fixes the missing logger module in test_architectures.py within the static directory.

* modified freeze at in resnet

* freeze_at should less than num_stage

* add fairmot

* rename pretrain_weights

* add comments; reuse focal loss and convnorm

* update comments

* jde and deepsort: model

* fix name of ConvNormLayer for fcos solov2

* fix name in other head convbn

* fix yolo name, fix ttf_head name, test=document_fix

* add ttfnet enhance

* add doc

* fix pafnet training

* add ppyolov2

* fix bugs and modify docs

* modify code and doc according to review

* fix bugs while resolving conflicts