* dist training doc

* add multi-machine distribued training link

* add FGD distill code

test=document_fix

* fix pphuman cfg doc, test=document_fix

* fix doc, test=document_fix

* remove en readme doc, test=document_fix

* fix ShuffleNetV2 x2_0 stage_out_channels

* fix format, test=document_fix

* add vehicle attr inti pipeline

* fix in no-rgb in predict_video

* one euro filter and ema smoothing for keypoints

* change few code
Co-authored-by: NZhangHandi <handi.zhang@163.com>

* add convnext crn yolox

* update readme doc

* fix yolox readme params flops, test=document_fix

* refactor doc, test=document_fix

* update yolox & yolov5, test=document_fix

* Update README_cn.md

* update doc, test=document_fix

* Update readme and pphuman readme

* Update README.md

* add data & customize, test=document_fix

* update readme

* Update README_cn.md

* Update README_cn.md

* add template, test=document_fix
Co-authored-by: NYixinKristy <576550767@qq.com>

* [TIPC] remove amp txt

* [TIPC]fix mask_rcnn cpp_infer txt, test=document_fix

* fix bytetrack_yolox modelzoo doc, test=document_fix

* add mot16test leaderboard, test=document_fix

* [TIPC] add ptq test shell and txt

* [TIPC] alter shell save log, test=document_fix

* add pphuman ppvehicle configs and doc

* update doc and configs ,test=document_fix

* fix doc, test=document_fix

* upgrade adawm to adawmdl for transoformer

* rename arg

* add det based action, still in working

* add det_based action

* add id-based class action into pipeline

* remove clsactioninferer

* return history result, optimize visualization for multiple actions

* use history result for det-based action model

* batchinfer for cls&det models

* add p2 and largesize visdrone model, test=document_fix

* add size doc, test=document_fix

* add ppyoloe-s, update mot doc, test=document_fix

* fix doc typo, test=document_fix

* [TIPC] update serving/python, add keypoint

* [TIPC] update serving/cpp

* [TIPC] add serving_cpp_infer test shell

* [TIPC] remove gpu infer in fleet train, test=document_fix

* Scale frames before fight action recognition

* put
short_size = self.cfg["VIDEO_ACTION"]["short_size"]
scale = Scale(short_size)
out of while

* change class name from Scale to ShortSizeScale