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revised lint errors in dataset_prepare.md

pull/1006/head
kingdrone 2021-11-05 10:50:06 +08:00
parent b2744ca4ac
commit ed6cb48acf
2 changed files with 9 additions and 3 deletions
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6
docs/dataset_prepare.md
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@ -254,9 +254,9 @@ Since we only support test models on this dataset, you may only download [the va
Since we only support test models on this dataset, you may only download [the test set](http://data.vision.ee.ethz.ch/daid/NighttimeDriving/NighttimeDrivingTest.zip). Since we only support test models on this dataset, you may only download [the test set](http://data.vision.ee.ethz.ch/daid/NighttimeDriving/NighttimeDrivingTest.zip).
### LoveDA ### LoveDA
The data could be downloaded [here](https://drive.google.com/drive/folders/1ibYV0qwn4yuuh068Rnc-w4tPi0U0c-ti?usp=sharing)
The data could be downloaded [here](https://drive.google.com/drive/folders/1ibYV0qwn4yuuh068Rnc-w4tPi0U0c-ti?usp=sharing).
For LoveDA dataset, please run the following command to download and re-organize the dataset. For LoveDA dataset, please run the following command to download and re-organize the dataset.
@ -281,3 +281,5 @@ mv Train/Uban/masks_png/* ann_dir/train
mv Val/Rural/masks_png/* ann_dir/val mv Val/Rural/masks_png/* ann_dir/val
mv Val/Uban/masks_png/* ann_dir/val mv Val/Uban/masks_png/* ann_dir/val
``` ```
More details about LoveDA can be found [here](https://github.com/Junjue-Wang/LoveDA).

6
docs_zh-CN/dataset_prepare.md
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@ -196,7 +196,6 @@ python tools/convert_datasets/stare.py /path/to/stare-images.tar /path/to/labels
因为我们只支持在此数据集上测试模型，所以您只需下载[测试集](http://data.vision.ee.ethz.ch/daid/NighttimeDriving/NighttimeDrivingTest.zip)。 因为我们只支持在此数据集上测试模型，所以您只需下载[测试集](http://data.vision.ee.ethz.ch/daid/NighttimeDriving/NighttimeDrivingTest.zip)。
### LoveDA ### LoveDA
下载[LoveDA数据集](https://drive.google.com/drive/folders/1ibYV0qwn4yuuh068Rnc-w4tPi0U0c-ti?usp=sharing)。 下载[LoveDA数据集](https://drive.google.com/drive/folders/1ibYV0qwn4yuuh068Rnc-w4tPi0U0c-ti?usp=sharing)。
@ -204,13 +203,16 @@ python tools/convert_datasets/stare.py /path/to/stare-images.tar /path/to/labels
对于 LoveDA 数据集，请运行以下命令下载并组织数据集 对于 LoveDA 数据集，请运行以下命令下载并组织数据集
```shell ```shell
# download # download
mkdir loveda && cd loveda mkdir loveda && cd loveda
wget https://drive.google.com/drive/folders/1ibYV0qwn4yuuh068Rnc-w4tPi0U0c-ti?usp=sharing wget https://drive.google.com/drive/folders/1ibYV0qwn4yuuh068Rnc-w4tPi0U0c-ti?usp=sharing
# unzip # unzip
unzip '*.zip' unzip '*.zip'
# Convert into segmentation splits # Convert into segmentation splits
mkdir -p img_dir/train img_dir/val img_dir/test ann_dir/train ann_dir/val mkdir -p img_dir/train img_dir/val img_dir/test ann_dir/train ann_dir/val
mv Train/Rural/images_png/* img_dir/train mv Train/Rural/images_png/* img_dir/train
mv Train/Urban/images_png/* img_dir/train mv Train/Urban/images_png/* img_dir/train
@ -223,3 +225,5 @@ mv Train/Urban/masks_png/* ann_dir/train
mv Val/Rural/masks_png/* ann_dir/val mv Val/Rural/masks_png/* ann_dir/val
mv Val/Urban/masks_png/* ann_dir/val mv Val/Urban/masks_png/* ann_dir/val
``` ```
关于 LoveDA 的更多细节可以在[这里](https://github.com/Junjue-Wang/LoveDA)找到。