* add 'load_label' parameter for image classification models

* move load_label flag to initializer

* yolox in c++

* review 1

* review 202306

* disable counter

* update accuracy evaluation scripts

* remove labels of image classification

* Person detector from MediaPipe Pose

* review 2

* cols cols is not cols rows

* Update CMakeLists.txt

---------
Co-authored-by: NYuantao Feng <yuantao.feng@opencv.org.cn>

* rcnn only for EN

* review 1

* add readme.md

* rename file

* review 2

* review 3

* option v

* review 4

* bump version to 4.8.0

* update benchmark results on i7 & rpi

* correct python command on i7

* update results on jetson nano

* update results on atlas 200 cpu

* update results on vim3 cpu, sunrise x3 cpu

* update results on vim3 npu

* update results on edge2

* update results on rv1126 and vision2

* update results on axp

* update table

* Text Detection model DB

* review 1

* add mobilenet c++ sample

* review 1

* use blobFromImageWithParams

* change int in dnn::Backend, dnn::Target

* review 2

* review 3

* add include for labels imagenet1k

* samples::findfile

* Add -v option. 100 inferences max with a video when -v=false

* lfs track images now

* add back example images

* modify paths

* modify paths part 2

* correct paths in each model's readme

Add benchmark results on Toybrick RV1126, Khadas Edge2, Horizon Sunrise X3 PI and MAIX-III AX-PI

* use mean as default for benchmark metric; change result representation;
add --all for benchmarking all configs at a time

* fix comments

* add --model_exclude

* pretty print

* improve benchmark result table header: from band-xpu to xpu-band

* suppress print message

* update benchmark results on CPU-RPI

* add the new benchmark results on the new intel cpu

* fix backend and target setting in benchmark; pre-modify the names of int8 quantized models

* add results on jetson cpu

* add cuda results

* print target and backend when using --all

* add results on Khadas VIM3

* pretty print results

* true pretty print results

* update results in new format

* fix broken backend and target vars

* fix broken backend and target vars

* fix broken backend and target var

* update benchmark results on many devices

* add db results on Ascend-310

* update info on CPU-INTEL

* update usage of the new benchmark script

* limit backend and target combination in demos and benchmark

* simpler version checking

* update benchmark and results

* update lpd_yunet & nanodet benchmark results

* update results for PP-HumanSeg, MobileNet-V2, MP-HandPose

* add some notes

* replace pphumanseg with a simplified one

* update demo default

* update preprocess of handpose estimation to handle some conner cases

* back PALM_BOX_ENLARGE_FACTOR to default

* The results of the two models remain the same accuracy.

* re-upload int8 models

* updated by yiyao

* remove the sim suffix

---------
Co-authored-by: Nzihaomu <zihaomu@outlook.com>

* add cpp demo for yunet

* add a new line before end of file

* new line before eof