* 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

* s2anet update

* remove np anchor

* add gfl model and PicoDet

* Update bbox_utils.py

* add kitti metric

* clean kitti metric code

* fix kitticars doc

* remove kitti headtracking cfgs

* remove kitti headtracking cfgs, clean code

* fix datatype and ffmpeg, test=document_fix

* add soft link, test=document_fix

* add doc link, test=document_fix

* fix deploy image_list, test=document_fix

* add python train time eval

* add mpii infer support

* clean code of s2anet

* fix for paddle==2.1.0

* remove debug info

* update comment

* fix train diff for fairmot

* set use_shared_memory to True for fairmot training

* add the config of fairmot_headtracking

* mot video decode to images

* add infer_dir for mot

* fix export and unite pose infer

* remove task in mot source

* set image_dir

* update doc