* 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

* Add BottomUp HigherHRNet for pose.
* reverse xtcocotools to pycocotools

* fix voc eval

* remove debug code

* add comments

* update comment for collate_batch

* Add S2ANet model for Oriented Object Detection.

* refine ppdet file name

* unify bbox_utils

* update files

* update for ci-travis

* refine trainer