* optimize lite doc

* add tinypose-enhance doc

* add coco result and rename picodet-model

* add flops & params

* update Q-code image for poseapp

test=document_fix

* Update Readme

* Update README_cn.md

* Update .gitignore

* Update README_cn.md

* Revert "Update .gitignore"

This reverts commit f26a86fe.

* update keypoint doc

* Update .gitignore

* Revert "Update .gitignore"

This reverts commit 44875dab.

* update keypoint readme

* Update README.md

* add complete deploy demo

* Update README_en.md

* Update README_en.md

del json config & preprocess

* add keypoint benchmark data

* update benchmark-data and change default keypoint bs=8, to be same as C++ infer

test=document_fix

* update tinypose readme

* add tinypose link in keypoint introduction, test=document_fix

* fix picodet error in det_keypoint_unite_infer

* Optimize configuration file path

* fix naive-lite-hrnet backbone

* add WiderNaive-18 model

* add keypoint top-down cpp infer; total:5ms,pre:0.7ms,infer:3.8ms,post:0.01ms

* add dark_pose support

Revert "add keypoint top-down cpp infer; total:5ms,pre:0.7ms,infer:3.8ms,post:0.01ms (#4058)" (#4216)

This reverts commit 08619b4e.

* add LiteHRNet backbone and config .YML

* test lite18-network param

acc is same with ori-model 1. fix default darkpose=ON, 2. += is not inplace

add new keypoint model Lite-HRNet

* add new keypoint model Lite-HRNet

* 1. Add description of network type; 2. use channel_shuffle in ops.py

* use normal to init conv2d

* add network type description

* add --save_prediction_only support for TopDown KeyPoint Metric

* add a use case for save_prediction_only