* 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

* fit some detectors for deepsort

* fix configs and readme

* add tracked bbox score cls_id, fix deploy bugs

* add deepsort cfg score threshold

* fix deploy deepsorttracker, fix cfgs

* merge develop, fix format

* add pplcnet

* add pplcnet cfgs

* fix cfgs

* fix cfgs

* clean pplcnet code

* fix readme

* update mot vehicle modelzoo

* update bdd100k visdrone vehicle  modelzoo

* 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 Architecture and config

* update picodet inference deploy

* add general yolov3 for deepsort

* refine format

* fix no target infer

* fix readme and conflict

* [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 frame_rate for mot infer video

* add doc of frame_rate for mot video infer, test=document_fix

* add --save_prediction_only support for TopDown KeyPoint Metric

* add a use case for save_prediction_only

* set lr for 4 card as default, and update

* add gfl model and PicoDet

* 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

* mot video decode to images

* add infer_dir for mot

* fix export and unite pose infer

* remove task in mot source

* set image_dir

* update doc

* fix tracker trt, add tracker to infer_cfg yml

* fix doc and deploy tracker

* add flops

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;