* revert det tqdm eval, test=document_fix

* revert det tqdm eval, test=document_fix

* 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

* add mcfiarmot ptq

* update docs

* [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>

This reverts commit 3e0e3585.

* support export post_process in PicoDet

* 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

* add multi-scale test

* add resnet34-fpn-mstest item in model zoo

* unstructured prune for picodet

* 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

* update PicoDet Architecture and config

* update picodet inference deploy

* [dev] add TOOD

* fix link and notes

* replace ConvNormLayer

* 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 --save_prediction_only support for TopDown KeyPoint Metric

* add a use case for save_prediction_only

* add python train time eval

* add mpii infer support

* add flops