* add QueryInst

* update sparse config

* Clean up redundancy and update style

* update config

* add trained models & resolve conflict

* share bbox_cxcywh_to_xyxy

* Revert "share bbox_cxcywh_to_xyxy"

This reverts commit ccf811211eda0a59dc0446f1b716f4e7412367f9.

* repeat bbox_cxcywh_to_xyxy

* Poly2Mask: Add delete switch
RandomSizeCrop: keep origin randint style

* update copyright

* add DINO

add msdeformable attention cuda op

fix export bug

* fix decoder norm

* finish_cotuning

* fix_bug

* add_readme

* finish contrast

* add ssod denseteacher fcos codes and refine baseline doc

* fix docs

* fix deploy and ColorJitter float32

* fix docs

* fix docs, test=document_fix

* add iou-fcos and ssod baseline

* add gen_semi_coco, fix doc

* fix doc links

* add fcosr

* fix some problem

* add docs for fcosr

* modify code

* modify focsr reader

* finish tensorrt deployment with dynamic shape

* modify according to review comment

Co-authored-by: wangxinxin08 <>

* pose3d metro modeling

* delete extra comments

* Add SIoU and MobileOne block

* add paddle copyright

* mobileone block k>1 bugfix

* format code style

* clean fluid

* mv static to legacy

* remove yolo box

* revert legacy dir

* revert static link

* update in_dynamic_mode

* clean iou_similarity, collect_fpn_proposals, bipartite_match

* add implementation of RetinaNet

* * add README.md and model zoo
* rename FOCSFeat -> RetianFeat
* add mstrain model to model zoo
* refactor DeltaBBoxCoder

* update link for model and log

* update PicoDet docs

* 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

* update PicoDet Architecture and config

* 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 gfl model and PicoDet

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

* add sparsercnn

* update sparsercnn

* Add DETR

* drop return_pad_mask in PadBatch

* 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

* add fairmot

* rename pretrain_weights

* add comments; reuse focal loss and convnorm

* update comments

* jde and deepsort: model

rename all Hrnet to HRNet

* update ssd loss, make it faster test=develop

* update comments, test=develop

* ssd loss, fix bug when no object, text=develop

* add ppyolov2

* fix bugs and modify docs

* modify code and doc according to review

* fix bugs while resolving conflicts

* add pssdet model

* refine ppdet file name

* unify bbox_utils

* add Distill model
* add distill+prune

* add fcos ttfnet coment, update modelzoo

* fix ttfnet coment