* update picodet inference deploy

* add general yolov3 for deepsort

* refine format

* fix no target infer

* fix readme and conflict

* 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.

lite deploy armv8 ok

* fix use_gpu in deploy doc,  test=document_fix

* fix deploy doc, test=document_fix

* 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

* remove redundant code

* simplify code

* fix tracker trt, add tracker to infer_cfg yml

* fix doc and deploy tracker

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

* merge upstream

* clean code

* add batch_size in keypoint_detector

* fix bs=2 of FCOS

* fix bs=2 of ttfnet

* fix cascade deploy

* speedup by paddle.expand

* 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

* fix not find dirent.h on windows

* using cv::glob replace fileststem, fileststem need std++17

* add mot keypoint unite python infer

* fix mot pose fps