* fix sm_use for ppyoloe_head and output for box_dis

* fix pos_embed of training

* [smdet] add tal_cr and custompan with transfomer, add box_distribution to pred reg_max, test=document_fix

* add tal_cr

* add ppyoloe_r

* modify code of ops.py

* add ppyoloe_r docs and modify rotate docs

* modify docs and refine connfigs

* fix some problems

* refine docs, add nms_rotated ext_op and fix some problems

* add image and inference_benchmark.py

* modify docs

* fix some problems

* modify code accroding to review

Co-authored-by: wangxinxin08 <>

* add exclude_nms and trt silu for yolox

* fix silu act, fix readme

* add picodet new config

* [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 a new version code of PicoDet

* 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

* update pptracking modelzoo readme

* fix cfg, test=document_fix

* add sge attention on fpn

* add iou head

* add config, fix head

* fix iou offset weight

* fix fairmot centerhead

* 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 hardnet85 fairmot

* fix hardnet85

* add centernet hardnet fpn, fix config

* update modelzoo

* update modelzoo readme

* remove comments

* add hardnet num_layers assert

* fix hardnet85 config

* add hrnet18 fairmot

* add lite hrnet_w18

* add hrnet dlafpn

* update hrnet18_dlafpn modelzoo

* hrnet18dlafpn modelzoo

* add comments

* set neck not none, update modelzoo

* Update PicoDet adn GFl

* 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 solov2 enhance model

* fix for_mot in PPYOLOTinyFPN and PPYOLOPAN

* fix yolo_fpn

* add fairmot

* rename pretrain_weights

* add comments; reuse focal loss and convnorm

* update comments

* 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