- Notifications
You must be signed in to change notification settings - Fork2.8k
CodeCamp #139 [Feature] Support REFUGE dataset.#2554
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to ourterms of service andprivacy statement. We’ll occasionally send you account related emails.
Already on GitHub?Sign in to your account
Uh oh!
There was an error while loading.Please reload this page.
Conversation
| │ ├── __MACOSX | ||
| ``` | ||
| To convert REFUGE dataset to MMSegmentation format, you should run the following command: |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others.Learn more.
| To convert REFUGE dataset to MMSegmentation format, you shouldrun the following command: | |
| Pleaserun the following command to convert REFUGE dataset: |
MengzhangLI commentedFeb 2, 2023
Please also add unit test image & annotation from#2420
Using command below: |
codecovbot commentedFeb 2, 2023 • edited
Loading Uh oh!
There was an error while loading.Please reload this page.
edited
Uh oh!
There was an error while loading.Please reload this page.
Codecov ReportBase:83.25% // Head:83.27% // Increases project coverage by
Additional details and impacted files@@ Coverage Diff @@## dev-1.x #2554 +/- ##===========================================+ Coverage 83.25% 83.27% +0.01%=========================================== Files 145 146 +1 Lines 8505 8515 +10 Branches 1273 1274 +1 ===========================================+ Hits 7081 7091 +10 Misses 1213 1213 Partials 211 211
Flags with carried forward coverage won't be shown.Click here to find out more.
Help us with your feedback. Take ten seconds to tell ushow you rate us. Have a feature suggestion?Share it here. ☔ View full report at Codecov. |
| 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. |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others.Learn more.
| 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 | ||
| ``` | ||
| 为了将 REFUGE 数据集转换成 MMSegmentation 格式, 您需要运行如下命令: |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others.Learn more.
| 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: |
| │ │ │ ├── test | ||
| ``` | ||
| 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. |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others.Learn more.
| 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. |
Uh oh!
There was an error while loading.Please reload this page.
Uh oh!
There was an error while loading.Please reload this page.
…#2554)## Motivation Add REFUGE datasetsOld PR:open-mmlab#2420---------Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
Uh oh!
There was an error while loading.Please reload this page.
Motivation
Add REFUGE datasets
Old PR:#2420