* 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

* fix slice infer one image save_results (#7654)

* Support GradCAM Cascade_rcnn forward bugfix

* code style fix

* BBoxCAM class name fix

* Add gradcam tutorial and demo

---------
Co-authored-by: NFeng Ni <nemonameless@qq.com>

* add centertrack base codes

* fix deploy and docs

* fix tracker

* fix

* fix pre_img

* fix deploy

* fix

* refine fcos codes

* refine fcos postprocess

* fix fcos deploy

* fix fcos deploy

* add flag skipping postprocess to support edgeboard hardware

* add flag skipping postprocess to support edgeboard hardware

* add flag skipping postprocess to support edgeboard hardware

* add comment for the flag export_eb

* refactor rbox

* modify the code of save results

* fix some problem

* add .gitignore in dataset/dota

* fix test anno path

* 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

* add assign_on_cpu on postprocess

* add gpu check

* support mask rcnn bs>2

* fix resize op in c++ deploy

* fix preprocess in mask rcnn

* fix cascade mask rcnn when box is empty

* update merge batch

* support rcnn onnx

* clean code

* update cascade rcnn

* add todo for rpn proposals

* add multi-scale test

* add resnet34-fpn-mstest item in model zoo

* fix Momentum and label list

* fix export of mcfairmot

* 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

* set lr for 4 card as default, and update

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

* refine keypoint deploy

* fit video infer

* fix post process

* update comments for keypoint_batch_size

* jde fairmot export and video python infer

* rcnn bs>1

* delete redundant comments

* bs>1 for YOLO

* add fairmot

* rename pretrain_weights

* add comments; reuse focal loss and convnorm

* update comments