CodeCamp #139 [Feature] Support REFUGE dataset. #2554
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MengzhangLI
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Feb 2, 2023
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| To convert REFUGE dataset to MMSegmentation format, you should run the following command: |
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| To convert REFUGE dataset to MMSegmentation format, you should run the following command: | |
| Please run the following command to convert REFUGE dataset: |
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Please also add unit test image & annotation from #2420
Using command below: |
Codecov ReportBase: 83.25% // Head: 83.27% // Increases project coverage by
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MeowZheng
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| 首先,去[REFUGE 挑战赛官网](https://refuge.grand-challenge.org)注册后, 在指定[链接](https://refuge.grand-challenge.org/REFUGE2Download) 下载 REFUGE 数据集. | ||
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| 随后解压 `REFUGE2.zip` 然后得到如下所示的原始数据目录. |
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| 首先,去[REFUGE 挑战赛官网](https://refuge.grand-challenge.org)注册后, 在指定[链接](https://refuge.grand-challenge.org/REFUGE2Download) 下载 REFUGE 数据集. | |
| 随后解压 `REFUGE2.zip` 然后得到如下所示的原始数据目录. | |
| 在[官网](https://refuge.grand-challenge.org)注册后, 下载 [REFUGE 数据集](https://refuge.grand-challenge.org/REFUGE2Download) `REFUGE2.zip` , 解压后的内容如下: |
| │ ├── __MACOSX | ||
| ``` | ||
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| 为了将 REFUGE 数据集转换成 MMSegmentation 格式, 您需要运行如下命令: |
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| 为了将 REFUGE 数据集转换成 MMSegmentation 格式, 您需要运行如下命令: | |
| 运行如下命令，就可以按照 REFUGE2018 挑战赛划分数据集的标准将数据集切分成训练集、验证集、测试集: |
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| 就可以按照 REFUGE2018 挑战赛划分数据集的标准, 将数据集切分 400 张图片的训练集, 400 张图片的验证集和 400 张图片的测试集. |
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| 就可以按照 REFUGE2018 挑战赛划分数据集的标准, 将数据集切分 400 张图片的训练集, 400 张图片的验证集和 400 张图片的测试集. | |
| 其中包括 400 张图片的训练集, 400 张图片的验证集和 400 张图片的测试集. |
MeowZheng
reviewed
Feb 3, 2023
MeowZheng
approved these changes
Feb 3, 2023
nahidnazifi87
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Apr 5, 2024
…#2554) ## Motivation Add REFUGE datasets Old PR: open-mmlab#2420 --------- Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
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Motivation
Add REFUGE datasets
Old PR: #2420