Bump to v2.4.0 (#3663)

* Bump to v2.4.0

* update change log and benchmark

* reformat

* fix typo

* resolve comments

* Update requirement in doc

Co-authored-by: ZwwWayne <wayne.zw@outlook.com>

.dev_scripts/benchmark_filter.py

@@ -30,7 +30,8 @@ basic_arch_root = [
     'cascade_rcnn', 'double_heads', 'fcos', 'foveabox', 'free_anchor',
     'grid_rcnn', 'guided_anchoring', 'htc', 'libra_rcnn', 'atss', 'mask_rcnn',
     'ms_rcnn', 'nas_fpn', 'reppoints', 'retinanet', 'ssd', 'gn', 'ghm', 'fsaf',
-    'point_rend', 'nas_fcos', 'pisa', 'dynamic_rcnn'
+    'point_rend', 'nas_fcos', 'pisa', 'dynamic_rcnn', 'gfl', 'sabl', 'paa',
+    'yolo'
 ]
 
 datasets_root = ['wider_face', 'pascal_voc', 'cityscapes', 'mask_rcnn']
@@ -90,7 +91,11 @@ benchmark_pool = [
     'configs/pascal_voc/ssd300_voc0712.py',
     'configs/nas_fpn/retinanet_r50_nasfpn_crop640_50e_coco.py',
     'configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_mstrain-poly_1x_coco.py',
-    'configs/gn+ws/mask_rcnn_r50_fpn_gn_ws-all_2x_coco.py'
+    'configs/gn+ws/mask_rcnn_r50_fpn_gn_ws-all_2x_coco.py',
+    'configs/gfl/gfl_r50_fpn_1x_coco.py',
+    'configs/paa/paa_r50_fpn_1x_coco.py',
+    'configs/sabl/sabl_retinanet_r50_fpn_1x_coco.py',
+    'configs/yolo/yolov3_d53_320_273e_coco.py'
 ]
 
 

README.md

@@ -42,7 +42,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-v2.3.0 was released in 5/8/2020.
+v2.4.0 was released in 5/9/2020.
 Please refer to [changelog.md](docs/changelog.md) for details and release history.
 A comparison between v1.x and v2.0 codebases can be found in [compatibility.md](docs/compatibility.md).
 

docs/changelog.md

 ## Changelog
 
+### v2.4.0 (5/9/2020)
+
+**Highlights**
+- Fix lots of issues/bugs and reorganize the trouble shooting page
+- Support new methods [SABL](https://arxiv.org/abs/1912.04260), [YOLOv3](https://arxiv.org/abs/1804.02767), and [PAA Assign](https://arxiv.org/abs/2007.08103)
+- Support Batch Inference
+- Start to publish `mmdet` package to PyPI since v2.3.0
+- Switch model zoo to download.openmmlab.com
+
+**Bug Fixes**
+- Fix default mean/std for onnx (#3491)
+- Fix coco evaluation and add metric items (#3497)
+- Fix typo for install.md (#3516)
+- Fix atss when sampler per gpu is 1 (#3528)
+- Fix import of fuse_conv_bn (#3529)
+- Fix bug of gaussian_target, update unittest of heatmap (#3543)
+- Fixed VOC2012 evaluate (#3553)
+- Fix scale factor bug of rescale (#3566)
+- Fix with_xxx_attributes in base detector (#3567)
+- Fix boxes scaling when number is 0 (#3575)
+- Fix rfp check when neck config is a list (#3591)
+- Fix import of fuse conv bn in benchmark.py (#3606)
+- Fix webcam demo (#3634)
+- Fix typo and itemize issues in tutorial (#3658)
+- Fix error in distributed training when some levels of FPN are not assigned with bounding boxes (#3670)
+
+**New Features**
+- Support Cutout augmentation (#3521)
+- Support evaluation on multiple datasets through ConcatDataset (#3522)
+- Support [PAA assign](https://arxiv.org/abs/2007.08103) #(3547)
+- Support eval metric with pickle results (#3607)
+- Support [YOLOv3](https://arxiv.org/abs/1804.02767) (#3083)
+- Support [SABL](https://arxiv.org/abs/1912.04260) (#3603)
+- Support Batch Inference (#3564)
+- Support to publish to Pypi in github-action (#3510)
+- Support RandomFlip with horizontal/vertical/diagonal direction (#3608)
+
+**Improvements**
+- Refactor common issues in documentation (#3530)
+- Add pytorch 1.6 to CI config (#3532)
+- Add config to runner meta (#3534)
+- Add eval-option flag for testing (#3537)
+- Add init_eval to evaluation hook (#3550)
+- Add include_bkg in ClassBalancedDataset (#3577)
+- Using config's loading in inference_detector (#3611)
+- Add atss 101 (#3639)
+- Support custom imports (#3641)
+- Update urls to download.openmmlab.com (#3665)
+
+
 ### v2.3.0 (5/8/2020)
 
 **Highlights**

docs/install.md

@@ -72,7 +72,8 @@ pip install mmcv-full
 
 | MMDetection version |    MMCV version     |
 |:-------------------:|:-------------------:|
-| master              | mmcv-full>=1.0.5, <=1.1.1|
+| master              | mmcv-full>=1.1.1, <=1.2|
+| 2.4.0               | mmcv-full>=1.1.1, <=1.2|
 | 2.3.0               | mmcv-full==1.0.5|
 | 2.3.0rc0            | mmcv-full>=1.0.2    |
 | 2.2.1               | mmcv==0.6.2         |

mmdet/__init__.py

@@ -16,7 +16,7 @@ def digit_version(version_str):
 
 
 mmcv_minimum_version = '1.1.1'
-mmcv_maximum_version = '1.1.1'
+mmcv_maximum_version = '1.2'
 mmcv_version = digit_version(mmcv.__version__)
 
 

mmdet/version.py

 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '2.3.0'
+__version__ = '2.4.0'
 short_version = __version__