Bump version to 3.0.0 (#10092)

open-mmlab · Apr 6, 2023 · ecac3a7 · ecac3a7
2 parents 61dd8d5 + 32f43e5
commit ecac3a7
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diff --git a/.circleci/test.yml b/.circleci/test.yml
@@ -91,7 +91,7 @@ jobs:
  type: string
  cuda:
  type: enum
- enum: ["10.1", "10.2", "11.1"]
+ enum: ["10.1", "10.2", "11.1", "11.7"]
  cudnn:
  type: integer
  default: 7
@@ -161,8 +161,8 @@ workflows:
  - lint
  - build_cpu:
  name: maximum_version_cpu
- torch: 1.13.0
- torchvision: 0.14.0
+ torch: 2.0.0
+ torchvision: 0.15.1
  python: 3.9.0
  requires:
  - minimum_version_cpu
@@ -178,6 +178,13 @@ workflows:
  cuda: "10.2"
  requires:
  - hold
+ - build_cuda:
+ name: maximum_version_gpu
+ torch: 2.0.0
+ cuda: "11.7"
+ cudnn: 8
+ requires:
+ - hold
  merge_stage_test:
  when:
  not: << pipeline.parameters.lint_only >>

diff --git a/README.md b/README.md
@@ -21,15 +21,15 @@
 [![PyPI](https://img.shields.io/pypi/v/mmdet)](https://pypi.org/project/mmdet)
 [![docs](https://img.shields.io/badge/docs-latest-blue)](https://mmdetection.readthedocs.io/en/latest/)
 [![badge](https://github.com/open-mmlab/mmdetection/workflows/build/badge.svg)](https://github.com/open-mmlab/mmdetection/actions)
-[![codecov](https://codecov.io/gh/open-mmlab/mmdetection/branch/master/graph/badge.svg)](https://codecov.io/gh/open-mmlab/mmdetection)
-[![license](https://img.shields.io/github/license/open-mmlab/mmdetection.svg)](https://github.com/open-mmlab/mmdetection/blob/master/LICENSE)
+[![codecov](https://codecov.io/gh/open-mmlab/mmdetection/branch/main/graph/badge.svg)](https://codecov.io/gh/open-mmlab/mmdetection)
+[![license](https://img.shields.io/github/license/open-mmlab/mmdetection.svg)](https://github.com/open-mmlab/mmdetection/blob/main/LICENSE)
 [![open issues](https://isitmaintained.com/badge/open/open-mmlab/mmdetection.svg)](https://github.com/open-mmlab/mmdetection/issues)
 [![issue resolution](https://isitmaintained.com/badge/resolution/open-mmlab/mmdetection.svg)](https://github.com/open-mmlab/mmdetection/issues)
 
-[📘Documentation](https://mmdetection.readthedocs.io/en/3.x/) |
-[🛠️Installation](https://mmdetection.readthedocs.io/en/3.x/get_started.html) |
-[👀Model Zoo](https://mmdetection.readthedocs.io/en/3.x/model_zoo.html) |
-[🆕Update News](https://mmdetection.readthedocs.io/en/3.x/notes/changelog.html) |
+[📘Documentation](https://mmdetection.readthedocs.io/en/latest/) |
+[🛠️Installation](https://mmdetection.readthedocs.io/en/latest/get_started.html) |
+[👀Model Zoo](https://mmdetection.readthedocs.io/en/latest/model_zoo.html) |
+[🆕Update News](https://mmdetection.readthedocs.io/en/latest/notes/changelog.html) |
 [🚀Ongoing Projects](https://github.com/open-mmlab/mmdetection/projects) |
 [🤔Reporting Issues](https://github.com/open-mmlab/mmdetection/issues/new/choose)
 
@@ -43,24 +43,30 @@ English | [简体中文](README_zh-CN.md)
 
 <div align="center">
  <a href="https://openmmlab.medium.com/" style="text-decoration:none;">
- <img src="https://user-images.githubusercontent.com/25839884/218352562-cdded397-b0f3-4ca1-b8dd-a60df8dca75b.png" width="3%" alt="" /></a>
+ <img src="https://user-images.githubusercontent.com/25839884/219255827-67c1a27f-f8c5-46a9-811d-5e57448c61d1.png" width="3%" alt="" /></a>
  <img src="https://user-images.githubusercontent.com/25839884/218346358-56cc8e2f-a2b8-487f-9088-32480cceabcf.png" width="3%" alt="" />
- <a href="https://discord.gg/raweFPmdzG" style="text-decoration:none;">
+ <a href="https://discord.com/channels/1037617289144569886/1046608014234370059" style="text-decoration:none;">
  <img src="https://user-images.githubusercontent.com/25839884/218347213-c080267f-cbb6-443e-8532-8e1ed9a58ea9.png" width="3%" alt="" /></a>
  <img src="https://user-images.githubusercontent.com/25839884/218346358-56cc8e2f-a2b8-487f-9088-32480cceabcf.png" width="3%" alt="" />
  <a href="https://twitter.com/OpenMMLab" style="text-decoration:none;">
  <img src="https://user-images.githubusercontent.com/25839884/218346637-d30c8a0f-3eba-4699-8131-512fb06d46db.png" width="3%" alt="" /></a>
  <img src="https://user-images.githubusercontent.com/25839884/218346358-56cc8e2f-a2b8-487f-9088-32480cceabcf.png" width="3%" alt="" />
  <a href="https://www.youtube.com/openmmlab" style="text-decoration:none;">
  <img src="https://user-images.githubusercontent.com/25839884/218346691-ceb2116a-465a-40af-8424-9f30d2348ca9.png" width="3%" alt="" /></a>
+ <img src="https://user-images.githubusercontent.com/25839884/218346358-56cc8e2f-a2b8-487f-9088-32480cceabcf.png" width="3%" alt="" />
+ <a href="https://space.bilibili.com/1293512903" style="text-decoration:none;">
+ <img src="https://user-images.githubusercontent.com/25839884/219026751-d7d14cce-a7c9-4e82-9942-8375fca65b99.png" width="3%" alt="" /></a>
+ <img src="https://user-images.githubusercontent.com/25839884/218346358-56cc8e2f-a2b8-487f-9088-32480cceabcf.png" width="3%" alt="" />
+ <a href="https://www.zhihu.com/people/openmmlab" style="text-decoration:none;">
+ <img src="https://user-images.githubusercontent.com/25839884/219026120-ba71e48b-6e94-4bd4-b4e9-b7d175b5e362.png" width="3%" alt="" /></a>
 </div>
 
 ## Introduction
 
 MMDetection is an open source object detection toolbox based on PyTorch. It is
 a part of the [OpenMMLab](https://openmmlab.com/) project.
 
-The master branch works with **PyTorch 1.6+**.
+The main branch works with **PyTorch 1.6+**.
 
 <img src="https://user-images.githubusercontent.com/12907710/187674113-2074d658-f2fb-42d1-ac15-9c4a695e64d7.png"/>
 
@@ -108,59 +114,56 @@ We are excited to announce our latest work on real-time object recognition tasks
 <img src="https://user-images.githubusercontent.com/12907710/208044554-1e8de6b5-48d8-44e4-a7b5-75076c7ebb71.png"/>
 </div>
 
-**v3.0.0rc6** was released in 24/2/2023:
+**v3.0.0** was released in 6/4/2023:
 
-- Support [Boxinst](configs/boxinst), [Objects365 Dataset](configs/objects365), and [Separated and Occluded COCO metric](docs/en/user_guides/useful_tools.md#coco-separated--occluded-mask-metric)
-- Support [ConvNeXt-V2](projects/ConvNeXt-V2), [DiffusionDet](projects/DiffusionDet), and inference of [EfficientDet](projects/EfficientDet) and [Detic](projects/Detic) in `Projects`
-- Refactor [DETR](configs/detr) series and support [Conditional-DETR](configs/conditional_detr), [DAB-DETR](configs/dab_detr), and [DINO](configs/dino)
-- Support `DetInferencer` for inference, Test Time Augmentation, and automatically importing modules from registry
-- Support RTMDet-Ins ONNXRuntime and TensorRT [deployment](configs/rtmdet/README.md#deployment-tutorial)
-- Support [calculating FLOPs of detectors](docs/en/user_guides/useful_tools.md#Model-Complexity)
+- Release MMDetection 3.0.0 official version
+- Support Semi-automatic annotation Base [Label-Studio](projects/LabelStudio) (#10039)
+- Support [EfficientDet](projects/EfficientDet) in projects (#9810)
 
 ## Installation
 
-Please refer to [Installation](https://mmdetection.readthedocs.io/en/3.x/get_started.html) for installation instructions.
+Please refer to [Installation](https://mmdetection.readthedocs.io/en/latest/get_started.html) for installation instructions.
 
 ## Getting Started
 
-Please see [Overview](https://mmdetection.readthedocs.io/en/3.x/get_started.html) for the general introduction of MMDetection.
+Please see [Overview](https://mmdetection.readthedocs.io/en/latest/get_started.html) for the general introduction of MMDetection.
 
-For detailed user guides and advanced guides, please refer to our [documentation](https://mmdetection.readthedocs.io/en/3.x/):
+For detailed user guides and advanced guides, please refer to our [documentation](https://mmdetection.readthedocs.io/en/latest/):
 
 - User Guides
 
  <details>
 
- - [Train & Test](https://mmdetection.readthedocs.io/en/3.x/user_guides/index.html#train-test)
- - [Learn about Configs](https://mmdetection.readthedocs.io/en/3.x/user_guides/config.html)
- - [Inference with existing models](https://mmdetection.readthedocs.io/en/3.x/user_guides/inference.html)
- - [Dataset Prepare](https://mmdetection.readthedocs.io/en/3.x/user_guides/dataset_prepare.html)
- - [Test existing models on standard datasets](https://mmdetection.readthedocs.io/en/3.x/user_guides/test.html)
- - [Train predefined models on standard datasets](https://mmdetection.readthedocs.io/en/3.x/user_guides/train.html)
- - [Train with customized datasets](https://mmdetection.readthedocs.io/en/3.x/user_guides/train.html#train-with-customized-datasets)
- - [Train with customized models and standard datasets](https://mmdetection.readthedocs.io/en/3.x/user_guides/new_model.html)
- - [Finetuning Models](https://mmdetection.readthedocs.io/en/3.x/user_guides/finetune.html)
- - [Test Results Submission](https://mmdetection.readthedocs.io/en/3.x/user_guides/test_results_submission.html)
- - [Weight initialization](https://mmdetection.readthedocs.io/en/3.x/user_guides/init_cfg.html)
- - [Use a single stage detector as RPN](https://mmdetection.readthedocs.io/en/3.x/user_guides/single_stage_as_rpn.html)
- - [Semi-supervised Object Detection](https://mmdetection.readthedocs.io/en/3.x/user_guides/semi_det.html)
- - [Useful Tools](https://mmdetection.readthedocs.io/en/3.x/user_guides/index.html#useful-tools)
+ - [Train & Test](https://mmdetection.readthedocs.io/en/latest/user_guides/index.html#train-test)
+ - [Learn about Configs](https://mmdetection.readthedocs.io/en/latest/user_guides/config.html)
+ - [Inference with existing models](https://mmdetection.readthedocs.io/en/latest/user_guides/inference.html)
+ - [Dataset Prepare](https://mmdetection.readthedocs.io/en/latest/user_guides/dataset_prepare.html)
+ - [Test existing models on standard datasets](https://mmdetection.readthedocs.io/en/latest/user_guides/test.html)
+ - [Train predefined models on standard datasets](https://mmdetection.readthedocs.io/en/latest/user_guides/train.html)
+ - [Train with customized datasets](https://mmdetection.readthedocs.io/en/latest/user_guides/train.html#train-with-customized-datasets)
+ - [Train with customized models and standard datasets](https://mmdetection.readthedocs.io/en/latest/user_guides/new_model.html)
+ - [Finetuning Models](https://mmdetection.readthedocs.io/en/latest/user_guides/finetune.html)
+ - [Test Results Submission](https://mmdetection.readthedocs.io/en/latest/user_guides/test_results_submission.html)
+ - [Weight initialization](https://mmdetection.readthedocs.io/en/latest/user_guides/init_cfg.html)
+ - [Use a single stage detector as RPN](https://mmdetection.readthedocs.io/en/latest/user_guides/single_stage_as_rpn.html)
+ - [Semi-supervised Object Detection](https://mmdetection.readthedocs.io/en/latest/user_guides/semi_det.html)
+ - [Useful Tools](https://mmdetection.readthedocs.io/en/latest/user_guides/index.html#useful-tools)
 
  </details>
 
 - Advanced Guides
 
  <details>
 
- - [Basic Concepts](https://mmdetection.readthedocs.io/en/3.x/advanced_guides/index.html#basic-concepts)
- - [Component Customization](https://mmdetection.readthedocs.io/en/3.x/advanced_guides/index.html#component-customization)
- - [How to](https://mmdetection.readthedocs.io/en/3.x/advanced_guides/index.html#how-to)
+ - [Basic Concepts](https://mmdetection.readthedocs.io/en/latest/advanced_guides/index.html#basic-concepts)
+ - [Component Customization](https://mmdetection.readthedocs.io/en/latest/advanced_guides/index.html#component-customization)
+ - [How to](https://mmdetection.readthedocs.io/en/latest/advanced_guides/index.html#how-to)
 
  </details>
 
 We also provide object detection colab tutorial [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](demo/MMDet_Tutorial.ipynb) and instance segmentation colab tutorial [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](demo/MMDet_InstanceSeg_Tutorial.ipynb).
 
-To migrate from MMDetection 2.x, please refer to [migration](https://mmdetection.readthedocs.io/en/3.x/migration.html).
+To migrate from MMDetection 2.x, please refer to [migration](https://mmdetection.readthedocs.io/en/latest/migration.html).
 
 ## Overview of Benchmark and Model Zoo