Bump to v2.6.0 (#4038)

* bump to v2.6.0

* update version requirements

* Add README.md reference

* Fix README.md

README.md

@@ -42,7 +42,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-v2.4.0 was released in 5/9/2020.
+v2.6.0 was released in 1/11/2020.
 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).
 
@@ -108,13 +108,13 @@ Some other methods are also supported in [projects using MMDetection](./docs/pro
 
 ## Installation
 
-Please refer to [install.md](docs/install.md) for installation and dataset preparation.
+Please refer to [get_started.md](docs/get_started.md) for installation.
 
 ## Getting Started
 
-Please see [getting_started.md](docs/getting_started.md) for the basic usage of MMDetection.
-We provide [colab tutorial](demo/MMDet_Tutorial.ipynb) for beginners.
-There are also tutorials for [finetuning models](docs/tutorials/finetune.md), [adding new dataset](docs/tutorials/new_dataset.md), [designing data pipeline](docs/tutorials/data_pipeline.md), [customizing models](docs/tutorials/customize_models.md), and [customizing runtime settings](docs/tutorials/customize_runtime.md).
+Please see [get_started.md](docs/get_started.md) for the basic usage of MMDetection.
+We provide [colab tutorial](demo/MMDet_Tutorial.ipynb), and full guidance for quick run [with existing dataset](docs/1_exist_data_model.md) and [with new dataset](docs/2_new_data_model.md) for beginners.
+There are also tutorials for [finetuning models](docs/tutorials/finetune.md), [adding new dataset](docs/tutorials/new_dataset.md), [designing data pipeline](docs/tutorials/data_pipeline.md), [customizing models](docs/tutorials/customize_models.md), [customizing runtime settings](docs/tutorials/customize_runtime.md) and [useful tools](docs/useful_tools.md).
 
 For trouble shooting, please refer to [trouble_shooting.md](docs/trouble_shooting.md)
 

docs/changelog.md

@@ -1,5 +1,37 @@
 ## Changelog
 
+### v2.6.0 (1/11/2020)
+
+- Support new method: [VarifocalNet](https://arxiv.org/abs/2008.13367).
+- Refactored documentation with more tutorials.
+
+#### New Features
+
+- Support GIoU calculation in `BboxOverlaps2D`, and re-implement `giou_loss` using `bbox_overlaps` (#3936)
+- Support random sampling in CPU mode (#3948)
+- Support VarifocalNet (#3666, #4024)
+
+#### Bug Fixes
+
+- Fix SABL validating bug in Cascade R-CNN (#3913)
+- Avoid division by zero in PAA head when num_pos=0 (#3938)
+- Fix temporary directory bug of multi-node testing error (#4034, #4017)
+- Fix `--show-dir` option in test script (#4025)
+- Fix GA-RetinaNet r50 model url (#3983)
+- Update code in docs and fix broken urls (#3947)
+
+#### Improvements
+
+- Refactor pytorch2onnx API into `mmdet.core.export` and use `generate_inputs_and_wrap_model` for pytorch2onnx (#3857, #3912)
+- Update RPN upgrade scripts for v2.5.0 compatibility (#3986)
+- Use mmcv `tensor2imgs` (#4010)
+- Update test robustness (#4000)
+- Update trouble shooting page (#3994)
+- Accelerate PAA training speed (#3985)
+- Support batch_size > 1 in validation (#3966)
+- Use RoIAlign implemented in MMCV for inference in CPU mode (#3930)
+- Documentation refactoring (#4031)
+
 ### v2.5.0 (5/10/2020)
 
 #### Highlights

docs/get_started.md

@@ -11,9 +11,10 @@ The compatible MMDetection and MMCV versions are as below. Please install the co
 
 | MMDetection version |    MMCV version     |
 |:-------------------:|:-------------------:|
-| master              | mmcv-full>=1.1.5, <=1.2|
-| 2.5.0               | mmcv-full>=1.1.5, <=1.2|
-| 2.4.0               | mmcv-full>=1.1.1, <=1.2|
+| master              | mmcv-full>=1.1.5, <=1.3|
+| 2.6.0               | mmcv-full>=1.1.5, <=1.3|
+| 2.5.0               | mmcv-full>=1.1.5, <=1.3|
+| 2.4.0               | mmcv-full>=1.1.1, <=1.3|
 | 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 = '1.1.5'
-mmcv_maximum_version = '1.2'
+mmcv_maximum_version = '1.3'
 mmcv_version = digit_version(mmcv.__version__)
 
 

mmdet/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '2.5.0'
+__version__ = '2.6.0'
 short_version = __version__