* Feat add CLRNet

* Update CLRNet README.md

* Update requirements: add imgaug>=0.4.0 for CLRNet

* Update CLRNet README.md

* Update README.md

* Update Rename clrnet_utils.py

* Update CLRNet demo & delete demo result

* Update README.md add weight for culane

* Update README.cn.md add training logs

* Feat add dataset download

* Fix bugs when lanes is empty

* Update README

* Update README for dataset info

* Fix export model

* Update configs & README

* style: update codestyle

* Style update op codestyple

* Fix eval process

* Fix eval process

* Update README&configs

* Fix deploy infer

* Fix mkdir in lane visualize

* Docs Update README

* Docs Rename configs

* Docs update weights

---------
Co-authored-by: NLokeZhou <aishenghuoaiqq@163.com>

* support COCO Whole Bady Hand

* update transforms

* disable `AugmentationbyInformantionDropping`

* fix infer bug

* fix getImgIds

* metro con reverse

tinypose3d fix

readme modelzoo

* fix tinypose3d

* best mpjpe 55

* rename configfile

* replace api

* pose3d train

* delete extra comments

* only pose3d parallel eval; delete pose3d config

* fix mistake edit

* refactor rbox

* modify the code of save results

* fix some problem

* add .gitignore in dataset/dota

* fix test anno path

* refactor s2anet to support batch_size > 1

* fix problem of inference

* support batch_size > 1 for training

* fix empty results

* fix dota eval

* fix configs of s2anet_head

* modify s2anet_spine_1x to 73 mAP

* refactor ext op and add matched rbox iou

* replace rbox_iou_ops with ext_op

* [Dy2St]Fix cascade_rcnn export model problem (#6468)

* [Dy2St]Fix cascade_rcnn export model problem

* [Dy2St]Fix cascade_rcnn export model problem

* fix import for mot

* fix import for mot deploy

* fix lazy import mot

* save infer results to file.

* update, for mac temp file

* update func name, fix mem, fix dir

* 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

* rename lite model tar name;
test=document_fix

* Update Readme_cn and Add Readme_en on 2.4  (#5500)

* Update README_cn.md

* Update Readme

* Update README_cn.md

* Update README_cn.md

* Update docs for PP-YOLOE (#5494) (#5495)

* [cherry-pick] fix test arch (#5504)

* [cherry-pick] update pphuman en doc, test=document_fix (#5507)

* update pphuman en doc, test=document_fix

* update doc

* add warnings and TestDataset dataset_dir

* remove cython_box and fix doc

* fix conflict, test=document_fix
Co-authored-by: Nzhiboniu <zhiboniu@163.com>
Co-authored-by: NYixinKristy <48054808+YixinKristy@users.noreply.github.com>
Co-authored-by: Nqingqing01 <dangqingqing@baidu.com>
Co-authored-by: Nwangguanzhong <jerrywgz@126.com>

* 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 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

* update mot vehicle modelzoo

* update bdd100k visdrone vehicle  modelzoo

* add pedestrian vehicle cfgs

* fix metric category

* fix mot metric

* fix mot metric

* update pedestrian and vehicle modelzoo

* update headtracking modelzoo

* add tools for data processing

* add data pre-process code

* fix tools code format

* add --save_prediction_only support for TopDown KeyPoint Metric

* add a use case for save_prediction_only

* add kitti metric

* clean kitti metric code

* fix kitticars doc

* remove kitti headtracking cfgs

* remove kitti headtracking cfgs, clean code

* fix datatype and ffmpeg, test=document_fix

* add soft link, test=document_fix

* add doc link, test=document_fix

* fix deploy image_list, test=document_fix

* add python train time eval

* add mpii infer support

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

* add deepsort export model, reid infer

* fix jde_yolov3 metric

* fix deepsort deploy

* fix doc, clean code

* add mot deploy infer image, add run_benchmark

add dark deploy supported, mpii deploy supported;

* support --eval for s2anet

* add spine dataset and config yml for s2anet

* add doc for s2anet

* update doc

* fix typo, test=document_fix

* add some comments, and update import

* remove mot metric

* lazy import motmetrics

* add config for jde and deepsort, add engine metric tools

* add mot_metrics

* fix configs engine and others

* fix configs others

* move configs

* fix ap_per_class, fix doc

* fix test_mode, seqs

* fix test_mode to metric

* fix JDE arch metric

* clean requirement

* add to requirement