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[Fix] Fix mdformat version to support python3.6 (open-mmlab#8195)
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@jbwang1997 @ZwwWayne
jbwang1997 authored and ZwwWayne committed Jul 28, 2022
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4 changes: 2 additions & 2 deletions .pre-commit-config.yaml
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Expand Up @@ -29,12 +29,12 @@ repos:
hooks:
- id: codespell
- repo: https://github.com/executablebooks/mdformat
rev: 0.7.14
rev: 0.7.9
hooks:
- id: mdformat
args: ["--number"]
additional_dependencies:
- mdformat-gfm
- mdformat-openmmlab
- mdformat_frontmatter
- linkify-it-py
- repo: https://github.com/myint/docformatter
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10 changes: 5 additions & 5 deletions docs/en/get_started.md
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Expand Up @@ -147,12 +147,12 @@ However some functionalities are gone in this mode:
If you try to train/test/inference a model containing above ops, an error will be raised.
The following table lists affected algorithms.

| Operator | Model |
| :-----------------------------------------------------: | :-------------------------------------------------------------------------------: |
| Operator | Model |
| :-----------------------------------------------------: | :--------------------------------------------------------------------------------------: |
| Deformable Convolution/Modulated Deformable Convolution | DCN、Guided Anchoring、RepPoints、CentripetalNet、VFNet、CascadeRPN、NAS-FCOS、DetectoRS |
| MaskedConv2d | Guided Anchoring |
| CARAFE | CARAFE |
| SyncBatchNorm | ResNeSt |
| MaskedConv2d | Guided Anchoring |
| CARAFE | CARAFE |
| SyncBatchNorm | ResNeSt |

### Install on Google Colab

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80 changes: 40 additions & 40 deletions docs/zh_cn/get_started.md
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Expand Up @@ -9,41 +9,41 @@

MMDetection 和 MMCV 版本兼容性如下所示，需要安装正确的 MMCV 版本以避免安装出现问题。

| MMDetection 版本 | MMCV 版本 |
| :------------: | :------------------------: |
| master | mmcv-full>=1.3.17, \<1.6.0 |
| 2.25.0 | mmcv-full>=1.3.17, \<1.6.0 |
| 2.24.1 | mmcv-full>=1.3.17, \<1.6.0 |
| 2.24.0 | mmcv-full>=1.3.17, \<1.6.0 |
| 2.23.0 | mmcv-full>=1.3.17, \<1.5.0 |
| 2.22.0 | mmcv-full>=1.3.17, \<1.5.0 |
| 2.21.0 | mmcv-full>=1.3.17, \<1.5.0 |
| 2.20.0 | mmcv-full>=1.3.17, \<1.5.0 |
| 2.19.1 | mmcv-full>=1.3.17, \<1.5.0 |
| 2.19.0 | mmcv-full>=1.3.17, \<1.5.0 |
| 2.18.1 | mmcv-full>=1.3.17, \<1.4.0 |
| 2.18.0 | mmcv-full>=1.3.14, \<1.4.0 |
| 2.17.0 | mmcv-full>=1.3.14, \<1.4.0 |
| 2.16.0 | mmcv-full>=1.3.8, \<1.4.0 |
| 2.15.1 | mmcv-full>=1.3.8, \<1.4.0 |
| 2.15.0 | mmcv-full>=1.3.8, \<1.4.0 |
| 2.14.0 | mmcv-full>=1.3.8, \<1.4.0 |
| 2.13.0 | mmcv-full>=1.3.3, \<1.4.0 |
| 2.12.0 | mmcv-full>=1.3.3, \<1.4.0 |
| 2.11.0 | mmcv-full>=1.2.4, \<1.4.0 |
| 2.10.0 | mmcv-full>=1.2.4, \<1.4.0 |
| 2.9.0 | mmcv-full>=1.2.4, \<1.4.0 |
| 2.8.0 | mmcv-full>=1.2.4, \<1.4.0 |
| 2.7.0 | mmcv-full>=1.1.5, \<1.4.0 |
| 2.6.0 | mmcv-full>=1.1.5, \<1.4.0 |
| 2.5.0 | mmcv-full>=1.1.5, \<1.4.0 |
| 2.4.0 | mmcv-full>=1.1.1, \<1.4.0 |
| 2.3.0 | mmcv-full==1.0.5 |
| 2.3.0rc0 | mmcv-full>=1.0.2 |
| 2.2.1 | mmcv==0.6.2 |
| 2.2.0 | mmcv==0.6.2 |
| 2.1.0 | mmcv>=0.5.9, \<=0.6.1 |
| 2.0.0 | mmcv>=0.5.1, \<=0.5.8 |
| MMDetection 版本 | MMCV 版本 |
| :--------------: | :------------------------: |
| master | mmcv-full>=1.3.17, \<1.6.0 |
| 2.25.0 | mmcv-full>=1.3.17, \<1.6.0 |
| 2.24.1 | mmcv-full>=1.3.17, \<1.6.0 |
| 2.24.0 | mmcv-full>=1.3.17, \<1.6.0 |
| 2.23.0 | mmcv-full>=1.3.17, \<1.5.0 |
| 2.22.0 | mmcv-full>=1.3.17, \<1.5.0 |
| 2.21.0 | mmcv-full>=1.3.17, \<1.5.0 |
| 2.20.0 | mmcv-full>=1.3.17, \<1.5.0 |
| 2.19.1 | mmcv-full>=1.3.17, \<1.5.0 |
| 2.19.0 | mmcv-full>=1.3.17, \<1.5.0 |
| 2.18.1 | mmcv-full>=1.3.17, \<1.4.0 |
| 2.18.0 | mmcv-full>=1.3.14, \<1.4.0 |
| 2.17.0 | mmcv-full>=1.3.14, \<1.4.0 |
| 2.16.0 | mmcv-full>=1.3.8, \<1.4.0 |
| 2.15.1 | mmcv-full>=1.3.8, \<1.4.0 |
| 2.15.0 | mmcv-full>=1.3.8, \<1.4.0 |
| 2.14.0 | mmcv-full>=1.3.8, \<1.4.0 |
| 2.13.0 | mmcv-full>=1.3.3, \<1.4.0 |
| 2.12.0 | mmcv-full>=1.3.3, \<1.4.0 |
| 2.11.0 | mmcv-full>=1.2.4, \<1.4.0 |
| 2.10.0 | mmcv-full>=1.2.4, \<1.4.0 |
| 2.9.0 | mmcv-full>=1.2.4, \<1.4.0 |
| 2.8.0 | mmcv-full>=1.2.4, \<1.4.0 |
| 2.7.0 | mmcv-full>=1.1.5, \<1.4.0 |
| 2.6.0 | mmcv-full>=1.1.5, \<1.4.0 |
| 2.5.0 | mmcv-full>=1.1.5, \<1.4.0 |
| 2.4.0 | mmcv-full>=1.1.1, \<1.4.0 |
| 2.3.0 | mmcv-full==1.0.5 |
| 2.3.0rc0 | mmcv-full>=1.0.2 |
| 2.2.1 | mmcv==0.6.2 |
| 2.2.0 | mmcv==0.6.2 |
| 2.1.0 | mmcv>=0.5.9, \<=0.6.1 |
| 2.0.0 | mmcv>=0.5.1, \<=0.5.8 |

\*\*注意：\*\*如果已经安装了 mmcv，首先需要使用 `pip uninstall mmcv` 卸载已安装的 mmcv，如果同时安装了 mmcv 和 mmcv-full，将会报 `ModuleNotFoundError` 错误。

Expand Down Expand Up @@ -203,12 +203,12 @@ MIM 能够自动地安装 OpenMMLab 的项目以及对应的依赖包。

因此，如果尝试使用包含上述操作的模型进行训练/测试/推理，将会报错。下表列出了由于依赖上述算子而无法在 CPU 上运行的相关模型：

| 操作 | 模型 |
| :-----------------------------------------------------: | :-------------------------------------------------------------------------------: |
| 操作 | 模型 |
| :-----------------------------------------------------: | :--------------------------------------------------------------------------------------: |
| Deformable Convolution/Modulated Deformable Convolution | DCN、Guided Anchoring、RepPoints、CentripetalNet、VFNet、CascadeRPN、NAS-FCOS、DetectoRS |
| MaskedConv2d | Guided Anchoring |
| CARAFE | CARAFE |
| SyncBatchNorm | ResNeSt |
| MaskedConv2d | Guided Anchoring |
| CARAFE | CARAFE |
| SyncBatchNorm | ResNeSt |

### 另一种选择： Docker 镜像

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