* add code

* add ld-vlr

* refractor code

* refine code

* add doc

* refine details

* refine doc

* update download url

* rename config file for ci

* rename config file in README for CI

* pose3d metro datasets

* delete extra comment lines

* refactor rbox

* modify the code of save results

* fix some problem

* add .gitignore in dataset/dota

* fix test anno path

* [dev] add ppyoloe_plus configs and alter NormalizeImage

* alter other NormalizeImage

* alter cpp NormalizeImage

* add slice infer for smalldet

* add slice infer for smalldet

* fix slice infer

* fix doc, test=document_fix

* fix eval and configs

* add slice dataset loader

* fix deploy

* fix docs, test=document_fix

* update docs, test=document_fix

* 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

* fix mosaic in voc dataset

* fix is_crowd

* add yolox doc and configs

* fix bn and update doc, test=document_fix

Fixed a possible error on line 2021: "TypeError: 'numpy.float64' object cannot be interpreted as an integer".

* [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 multi-scale test

* add resnet34-fpn-mstest item in model zoo

* update citation

* update citation

* add mcfairmot train eval export code

* fix eval and export

* update modelzoo

* add hrnet18_dlafpn

* unify jdetracker

* fix deploy infer for single class

* fix multi class fairmot deploy

* fix mcmot data source and deploy

* fix num_identities

* fix num_identities_dict

* 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

* a version of ppyolo for EdgeBoard

* a version of ppyolo for EdgeBoard

* decode with cache

* update

* update

* add gfl model and PicoDet

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