* 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>

* add centertrack base codes

* fix deploy and docs

* fix tracker

* fix

* fix pre_img

* fix deploy

* fix

* [dev] add ppyoloe_plus configs and alter NormalizeImage

* alter other NormalizeImage

* alter cpp NormalizeImage

* fix trt params

* update config to make safe of trt input shape

* Scale frames before fight action recognition

* put
short_size = self.cfg["VIDEO_ACTION"]["short_size"]
scale = Scale(short_size)
out of while

* change class name from Scale to ShortSizeScale

* add centernet

* add centernet

* add r50 for centernet

* support deploy for centernet

* add doc

* update pretrain

* clean code

* update r50 doc

* unify for_mot

* update code according to review

* update doc

* refine preprocess

* update doc

Besides removing unnecessary imports, this also fixes the missing logger module in test_architectures.py within the static directory.

* merge upstream

* clean code

* add batch_size in keypoint_detector

* add deepsort export model, reid infer

* fix jde_yolov3 metric

* fix deepsort deploy

* fix doc, clean code

* add mot deploy infer image, add run_benchmark

* fix image_shape in export_model

* add inference benchmark

* support not pad gt in rcnn model

* add comment in reader

* use scripts to build on windows flatform, test=dygraph

* Use new preproces OPs in deploy/infer.py, test=dygraph

* fix bug of image_shape can not set 2-dims, test=dygraph

* fix cpp build, test=dygraph

* set param target_size must be [h, w] in Resize function, test=dygraph

* fix bug, test=dygraph

* fix ssd output format (bbox: [N, 6], bbox_num: bbox_num), test=dygraph

* fix ssd prediction in cpp mode, test=dygraph

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>

* add solov2 model

* fix train batch size

* add solov2_r101_vd_fpn_3x

* fix batch size and update modelzoo

* refactor code of solov2

* fix deploy/python