* compat dev & release

* fix ops import

* fix dy2static, use isinstance to avoid TensorArray transform (#6877)

* add gt as proposals for cascade
Co-authored-by: Nxiongkun <807377414@qq.com>

* 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

* refactor ext op and add matched rbox iou

* replace rbox_iou_ops with ext_op

* add reg_class_agnostic

* add loss_rpn_bbox

* fix class init when import ppdet files

* add assign_on_cpu on postprocess

* add gpu check

* support rcnn onnx

* clean code

* update cascade rcnn

* add todo for rpn proposals

* update citation

* update citation

* s2anet update

* remove np anchor

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

* reorganize the code, and fix bug

* fix typo

* remve comment

* reorganize code

* Revert "reorganize code"

This reverts commit 4f928c3a46b264ba8815978b914bf81a46b66b62.

* set weight

* set default config

* fix code style

* rcnn bs>1

* delete redundant comments

* bs>1 for YOLO

* support no label training

* fix load_crowd

* update to fit rbox

* add empty_ratio

* update configs

* support mask rcnn

* clean drop_empty for mot & keypoint

* refine is_crowd

* 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

* remove rbox-iou-ops dependence

* add pssdet model

* Add S2ANet model for Oriented Object Detection.

* update slim model

* fix skip quant

* support not pad gt in rcnn model

* add comment in reader