* 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

* fix timer in deploy

* fix mot_keypoint deploy

* 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 inference deploy

* add gfl model and PicoDet

* 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

* 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

* 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

* support xpu inference

* Automatically set use_dynamic_shape

* fix image_shape in export_model

* fix batch_size when trt infer

* bs>1 for YOLO

* update det infer benchmark log

* s2anet fix export and deploy

* remove redundant code

* fix cpp for s2anet deploy

* fix bug of get_categories

* rename poly_to_rbox to poly2rbox

* add some comment for function

* add inference benchmark

* TensorRT support dynamic shape

* add TensorRT doc

* update model visual tool, test=fix_document

* python support trt6

* cpp support trt6

* fix code error

* clean code

* python trt dynamic shape and fix code style

* disable log and update doc style

* update opencv lib url

* solov2 trt support dynamic shape

* support tensorrt_int8

* add TensorRT int8 calib data for ppyolo

* set workspace_size=1 << 30 as default

* remove content

* remove some content, and fix code style

* remove images

* update doc style