* 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

* refine keypoint deploy

* fit video infer

* fix post process

* update comments for keypoint_batch_size

* fix warning when result is empty

* fix warning when result is empty

add dark deploy supported, mpii deploy supported;

* add mot score to txt results

* fix mot install typo

* add epoch for deepsort

* fix paddle no_grad

* deploy infer save image txt

* fix bug when benchmark=True

* split warmup and repeat

* add DarkPsoe support

* modify Top-Down bbox_file str to bbox.json

* jde fairmot export and video python infer

* support xpu inference

* Automatically set use_dynamic_shape

* fix image_shape in export_model

* fix batch_size when trt infer

* bs>1 for YOLO