* 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

* update handpose model

* update quantize model

* fix quantize path

* update readme of quantization and benchmark result

* fix document

* added evaluation script for PPHumanSeg

* added quantized model, renamed dataset

* minor spacing changes

* moved _all variables outside loop and updated accuracy

* removed printing for class accuracy and IoU

* added 2 transforms

* evaluation done on same size tensor as input size with mIoU 0.9085

* final changes

* added mIoU and reference

* update to the latest palm detection model

* quantize palm detection model

* make palm aligned to center when resize

* update benchmark for palm detection

* update benchmark data

* update readme

* update a new quantized model

* update readme

* update document and fix bugs

* re-quantized model to per_tensor mode

* update KV3-NPU benchmark result

add model path searcher and remove hardwritten file paths from benchmark configs; pack ppresnet, mobilenet & crnn with labels; fix palm det data; add flags to enable models of different precision separately (#123)

Signed-off-by: NHelio Perroni Filho <xperroni@gmail.com>
Signed-off-by: NHelio Perroni Filho <xperroni@gmail.com>

* Fix a bug when there is no object

* Add the minimum version requirement for opencv-python

* re-quantize some models from per_channel mode to per_tensor mode

* remove the description about per_channel

Delete YoloX.py (#111):

- Remove the legacy to save git conflicts

[Fix]: Fix variable name error (#110)

Resolves #108:

- Renamed `YoloX.py` to `yolox.py` for import.

- Reimplemented batched-nms.

- Put anchor generation in the initialization stage to avoid re-generating in inference.

Improved help messages for demo programs (#95)
- Added Demo Documentation
- Updated help messages
- Changed exception link

add object detection model YoloX

add object detection model NanoDet

* add crnn int8 EN

* add crnn int8 (ch)

* revise models

* rename models

* revise the quantize-ort to quantize crnn into int8 with high accuracy

* change the comment to English

* reduce supported suffix

* add crnn CH FP16 model

* add crnn EN FP16 model

* update readme

* add another script

* revise details for this pr

* Add script to evaluate face detection by WIDERFace

* add the result of YuNet