* fix npu tipc script

* fix typo

* fix conflict

* add npu inference support

* fix typo

* pipeline.py add tracking module time
fix infer_cfg_vehicle_violation.yml for examples

* pipeline examples infer_cfg_vehicle_violation.yml delete irrelevant config

* fix infer_cfg_vehicle_violation.yml enable

* * add vehicle_pressing.py to judge vehicle press lane
* add lane_seg_infer.py to lane seg
* add pipeline vehicle retrograde:
* add vehicle_retrograde.py to judge vehicle retrograde
* add infer_cfg_vehicle_violation.yml to config vehicle press vehicle retrograde
* add lane_seg_config.yml to config lane seg

* *add ppvehicle_press readme
*add ppvehicle_retrograde.md
*fix lane_seg preditor init

* ppvehicle_press.md ppvehicle_retrograde.ma add gif image

* *fix  ppvehicle press retrograde readme, test=document_fix
*add ppvehicle press retrograde en readme test=document_fix
*fix ppvehicle retrograde keep left bug

* fix ppvehicle readme,test=document_fix

* fix ppvehicle retrograde en readme,test=document_fix

* ppvehicle_press ppvehicle_retrograde readme add sulution test=document_fix

* fix ppvehicle press retrograde readme format test=document_fix

* fix time count while less than warmupframe

* eliminate capture video time cost

* update PP-Vehicle docs and en docs

* add reid model in v2.5 modelzoo

* update more

* add push stream

* update push stream docs

* update class name

* multi_thread & multi_rtsp input; test=document_fix

* update rtsp docs; test=document_fix

* update savename,add threadid to name;test=document_fix

* update ppvehicle modelzoo; test=document_fix

* update pipeline pictures

* update

* fix platerec jetson trtfp16; test=document_fix

* replace all --model_dir in pipeline docs; test=document_fix

* skip frames for faster mot

* fix skip frame mot

* fix skip frame mot

* fix skip frame mot

* set skip frame default -1, test=document_fix

* 1. add md5sum check;
2. add illegal parking recognition.

* add config for illegal parking recognition

* car licenseplate skipframe&time counter vote (#6609)

* car licenseplate skipframe&time counter vote

* incase of no track

* update the method to get plate

* if illegal_parking_time is -1, do not update_object_info

* get model dir from cfg

* illegal parking visualize optimize
Co-authored-by: Nzhiboniu <31800336+zhiboniu@users.noreply.github.com>

* add ppvehicle_plate

* replace cn codes

* update docs

* update mot model

* car licenseplate skipframe&time counter vote

* incase of no track

* 1. add -o command for pipeline;
2. remove basemode config;
3. add example configs for pphuman.

* copyright to Copyright

* 1. update docs for quick start;
2. delete merge_model_dir;
3. move cfg codes to cfg_utils.py

* Update QUICK_STARTED.md

* Update PPVehicle_QUICK_STARTED.md

* Update pphuman_action.md

* Update pphuman_action_en.md

* Update pphuman_attribute.md

* Update pphuman_attribute_en.md

* Update cfg_utils.py

* check rtsp stream

* add rtsp in doc s

* visual change to false

* update rtsp command

* add break in counting for pphuman

* fix break in doc and codes

* fix mot break in region, test=document_fix

* fix region_polygon and region_type, test=document_fix

* add tools for get_video_info, test=document_fix

* given inference model path, download model automatically

* encapsulate auto download model as a function

* given note that default model dir is download link

* change attr model download path to https://bj.bcebos.com/v1/paddledet/models/pipeline/PPLCNet_x1_0_person_attribute_945_infer.zip

* attribute docs update

* fix mtmct

* update docs

* Update action.md

delete the step of change model name of fight recognition

* Update video_action_infer.py

get model path from model_dir without model name

* optimize action vis

test=document_fix

* fix pphuman cfg doc, test=document_fix

* fix doc, test=document_fix

* remove en readme doc, test=document_fix

* add vehicle attr inti pipeline

* fix in no-rgb in predict_video

* 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

* 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

* add fight for PP-Human

* add short_size and target_size for fight recognition

* add short_size and target_size for fight_infer

* modify code according to the reviews

* add the wrong deleted lines`

* Update pipeline.py

* Update infer_cfg.yml

* visualize fight when fight action occur

* 乱码修改

* delete useless parmas

* delete useless code str2bool