* Update PicoDet adn GFl

* add faster rcnn with swin_transformer tiny

* add changelog

* [ce tests] alter ce scripts

* alter  pretrain_model_key

* alter infer mode

* add faq

* Update README_cn.md

* Update FAQ-README.md

* Update FAQ第一期.md

* Rename FAQ-README.md to README.md

* Update README_cn.md

* Update FAQ第一期.md

* delete 2 files

* Delete .DS_Store

* fix use_gpu in deploy doc,  test=document_fix

* fix deploy doc, test=document_fix

* updata document, test=document_fix

* use 8 card for training as default, test=document_fix

* add ce for train and eval

* add prepare.sh

* add slim config params

* 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 frame_rate for mot infer video

* add doc of frame_rate for mot video infer, test=document_fix

* add --save_prediction_only support for TopDown KeyPoint Metric

* add a use case for save_prediction_only

* set lr for 4 card as default, and update