Unverified Commit bd3306f5 authored by Wenwei Zhang's avatar Wenwei Zhang Committed by GitHub
Browse files

Bump to v2.6.0 (#4038)

* bump to v2.6.0

* update version requirements

* Add README.md reference

* Fix README.md
parent c55bc44d
......@@ -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)
......
## 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
......
......@@ -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 |
......
......@@ -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__)
......
# Copyright (c) Open-MMLab. All rights reserved.
__version__ = '2.5.0'
__version__ = '2.6.0'
short_version = __version__
......
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