* make solov2 adaptive to getitem output 0-D

* make faster-rcnn adaptive to getitem output 0-D

align torch dn code

merge deformable dino mask-dino same code

reset norm attr

fix dino amp training

fix bbox_pred in detr postprocess

* petr train ok

train ok

refix augsize

affine size fix

update msdeformable

fix flip/affine

fix clip

add resize area

add distortion

debug mode

fix pos_inds

update edge joints

update word mistake

* delete extra codes;adapt transformer modify;update code format

* reverse old transformer modify

* integrate datasets

* refine fcos codes

* refine fcos postprocess

* fix fcos deploy

* fix fcos deploy

* 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

* 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 nms trt support

* add check version code

* fix bugs

* support rcnn onnx

* clean code

* update cascade rcnn

* add todo for rpn proposals

* [ppyolov3] add ppyolov3 base code

* add ppyolov3 s/m/x

* modify ema

* modify code to convert onnx successfully

* support arbitrary shape

* update config to use amp default

* refine ppyolo_head code

* modify reparameter code

* refine act layer

* adapter pico_head and tood_head code

* remove ppyolov3 yaml

* fix codestyle
Co-authored-by: Nwangxinxin08 <wangxinxin08@baidu.com>

* 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

* refine sync bn

* fix bugs of batch_norm

* fix bugs while deploying and modify BatchNorm to BatchNorm2D

* param_attr -> weight_attr in BatchNorm2D

* modify BatchNorm to BatchNorm2D

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

* Add DETR

* drop return_pad_mask in PadBatch

* fix bs=2 of FCOS

* fix bs=2 of ttfnet

* fix cascade deploy

* speedup by paddle.expand

* add solov2 enhance model

* jde fairmot export and video python infer

* rcnn bs>1

* delete redundant comments

* bs>1 for YOLO

* add model_zoo unittest

* add fairmot

* rename pretrain_weights

* add comments; reuse focal loss and convnorm

* update comments

* fix hsv randomaffine

* fix nms return_index

* fix gt_ide by tid_start_index

* jde and deepsort: model

* fix name of ConvNormLayer for fcos solov2

* fix name in other head convbn

* fix yolo name, fix ttf_head name, test=document_fix

* add ttfnet enhance

* add doc

* fix pafnet training

* add senet

* add annotations according to review

* update slim model

* fix skip quant

* add fcos ttfnet coment, update modelzoo

* fix ttfnet coment

* add blazeface & update rcnn modelzoo

* remove condition num_priors