* Feat add CLRNet

* Update CLRNet README.md

* Update requirements: add imgaug>=0.4.0 for CLRNet

* Update CLRNet README.md

* Update README.md

* Update Rename clrnet_utils.py

* Update CLRNet demo & delete demo result

* Update README.md add weight for culane

* Update README.cn.md add training logs

* Feat add dataset download

* Fix bugs when lanes is empty

* Update README

* Update README for dataset info

* Fix export model

* Update configs & README

* style: update codestyle

* Style update op codestyple

* Fix eval process

* Fix eval process

* Update README&configs

* Fix deploy infer

* Fix mkdir in lane visualize

* Docs Update README

* Docs Rename configs

* Docs update weights

---------
Co-authored-by: NLokeZhou <aishenghuoaiqq@163.com>

* tinypose3d for medical dataset

* modify tinypose-3d codes according to comments

* the images in dataset is named 'image'

* change model name to TinyPose3D

* annotations

* refactor s2anet to support batch_size > 1

* fix problem of inference

* support batch_size > 1 for training

* fix empty results

* fix dota eval

* fix configs of s2anet_head

* modify s2anet_spine_1x to 73 mAP

* add mot data

* fix operators, source

* fix data source transform

* fix parse_dataset register_op

* fix scale_factor, RandomAffine

* add assert for check

* fix ci

* pose bottomup higherhrnet: data
* mv common function to ppdet modeling;
* fix code style

Merge dygraph branch into master branch.
Co-authored-by: NFDInSky <48318485+FDInSky@users.noreply.github.com>
Co-authored-by: Nsunxl1988 <47514455+sunxl1988@users.noreply.github.com>
Co-authored-by: Nwangguanzhong <jerrywgz@126.com>
Co-authored-by: Nwangxinxin08 <69842442+wangxinxin08@users.noreply.github.com>
Co-authored-by: Nwanghuancoder <wanghuancoder@163.com>
Co-authored-by: Ncnn <liuhui29@baidu.com>
Co-authored-by: NGuanghua Yu <742925032@qq.com>
Co-authored-by: NKaipeng Deng <dengkaipeng@baidu.com>
Co-authored-by: Nroot <root@bjyz-sys-gpu-kongming0.bjyz.baidu.com>

* Polish Reader to simplify preprocessing logic.
#  sample_transforms-> make batch -> batch_transforms in Reader.
* Clean some code
* Imporve yolov3_r50vd_dcn_obj365_pretrained_coco 41.4 to 41.8.
* Update all configs.

* add voc_eval and yolo_darknet_voc

* add yolov3_darknet_voc in MODEL_ZOO

* fix default im_size

* fix MODEL_ZOO note

* fix is_bbox_normalized

* extract map to map_utils.py

* update yolov3_dorknet_voc mixup

* add yolov3_r34_voc

* add yolov3_mobilenet_v1_voc

* fix drop empty in VAL mode

* use cfg.num_classes

* assert metric valid

* enable difficulty can be None

* add comment for bbox_eval

* num_classes in retinanet

* Rename object_detection to PaddleDetection
* Small fix for doc