* add exclude_nms and trt silu for yolox

* fix silu act, fix readme

* Fix some typos in *.md.

* Fix some typos in code.

* support mask rcnn bs>2

* fix resize op in c++ deploy

* fix preprocess in mask rcnn

* fix cascade mask rcnn when box is empty

* update merge batch

* fix rcnn pred

* add bytetrack yolov3 ppyoloe cfgs

* add bytetrack reid

* fix sde bytetrack reid

* fix bytetrack readme

* add jdetracker mtmct

* fix bytetrack reid

* fix deploy track_config

* fix doc readme

* support rcnn onnx

* clean code

* update cascade rcnn

* add todo for rpn proposals

* support nms options when export model

* fix config

* add bytetrack yolov3 engine and deploy baseline

* fix bytetrack yolov3 configs

* fix cfgs tools

* fix tracker pred_dets

* fit pptracking jde sde infer

* rename cfgs, fix mot_sde_infer

* fix mot sde single class infer

* remove byte cfgs

* fix mtmct

* clean code

* [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>

* add implementation of RetinaNet

* * add README.md and model zoo
* rename FOCSFeat -> RetianFeat
* add mstrain model to model zoo
* refactor DeltaBBoxCoder

* update link for model and log

* fix fuse_normalize not working when export model

* fix solov2 by keeping inputs setting before building model

This reverts commit 3e0e3585.

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

* remove BatchNorm in esnet

* add multi-scale test

* add resnet34-fpn-mstest item in model zoo

* add mcfairmot train eval export code

* fix eval and export

* update modelzoo

* add hrnet18_dlafpn

* unify jdetracker

* fix deploy infer for single class

* fix multi class fairmot deploy

* fix mcmot data source and deploy

* fix num_identities

* fix num_identities_dict

* add sge attention on fpn

* add iou head

* add config, fix head

* fix iou offset weight

* fix fairmot centerhead

* add centernet

* add centernet

* add r50 for centernet

* support deploy for centernet

* add doc

* update pretrain

* clean code

* update r50 doc

* unify for_mot

* update code according to review

* update doc

* refine preprocess

* update doc

* update picodet inference deploy

* [dev] add TOOD

* fix link and notes

* replace ConvNormLayer

* 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 keypoint top-down cpp infer; total:5ms,pre:0.7ms,infer:3.8ms,post:0.01ms

* add dark_pose support

Revert "add keypoint top-down cpp infer; total:5ms,pre:0.7ms,infer:3.8ms,post:0.01ms (#4058)" (#4216)

This reverts commit 08619b4e.

* Update PicoDet adn GFl

* 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.

* add sparsercnn

* update sparsercnn

* Add DETR

* drop return_pad_mask in PadBatch