* 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 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

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

* add random resize and crop

* update

* update

* add video infer for TestMOTReader

* format, test=documment_fix

* 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

* s2anet fix export and deploy

* remove redundant code

* fix cpp for s2anet deploy

* fix bug of get_categories

* rename poly_to_rbox to poly2rbox

* add some comment for function

* add mot data

* fix operators, source

* fix data source transform

* fix parse_dataset register_op

* fix scale_factor, RandomAffine

* add assert for check

* fix ci

* add ttfnet enhance

* add doc

* fix pafnet training