* save detection results to file using coco format

* update save docs

* add keypoint infer and visualize into Pipeline

* add independent action model inference

* add action inference into pipeline, still in working

* test different display frames and normalization methods

* use bbox and scale normalization

* Remove debug info and Optimize code structure

* remove useless visual param

* make action parameters configurable

* add mkldnn bfloat16 args

* add mkldnn_bfloat16 to static deploy

* update

* update

* 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

* refactor det deploy

* refactor keypoint deploy

* fix solov2

* fit mot sde pipeline infer

* refine mot sde infer

* fit mot jde infer pipeline

* fit mot pose unite infer

* precommit for format

* refine keypoint detector name

* clean codes

* fix keypoint infer

* refine format
Co-authored-by: NFeng Ni <nemonameless@qq.com>

* support rcnn bs=2 in cpp infer

* check dynamic shape in padbatch

* replace fluid by paddle

* fix time display in pptracking cpp

* fix timer in bs=2

* add general yolov3 for deepsort

* refine format

* fix no target infer

* fix readme and conflict

* 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 mot keypoint unite python infer

* fix mot pose fps

* refine keypoint deploy

* fit video infer

* fix post process

* update comments for keypoint_batch_size

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

* support xpu inference

* Automatically set use_dynamic_shape

* bs>1 for YOLO

* update det infer benchmark log

* add inference benchmark