## Motivation
The original version of Visual Attention Network (VAN) can be found from
https://github.com/Visual-Attention-Network/VAN-Segmentation
添加Visual Attention Network (VAN)的支持。
## Modification
added a floder mmsegmentation/projects/van/
added 13 configs totally and aligned performance basically.
只增加了一个文件夹，共增加13个配置文件，基本对齐性能（没有全部跑）。
## Use cases (Optional)
Before running, you may need to download the pretrain model from
https://cloud.tsinghua.edu.cn/d/0100f0cea37d41ba8d08/
and then move them to the folder mmsegmentation/pretrained/, i.e.
"mmsegmentation/pretrained/van_b2.pth".
After that, run the following command:
cd mmsegmentation
bash tools/dist_train.sh
projects/van/configs/van/van-b2_pre1k_upernet_4xb2-160k_ade20k-512x512.py
4
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Co-authored-by: xiexinch <xiexinch@outlook.com>
## Motivation
While customizing the number of samples using `ann_file` for Cityscapes,
I noticed that when the `ann_file` name is incorrect, it will silently
resort to loading the dataset from the directory.
I think when the user intends to load using `ann_file`, it should not
silently fail, but give some sort of error message or warning.
## Modification
I added assertion to check whether the `ann_file` exists instead of
silently resorting to loading from the directory.
Since `ann_file` is set to `''` by default and joined with
`self.data_root`, I used `osp.isdir` to first check if `self.ann_dir` is
a directory or text file.
## BC-breaking (Optional)
Not that I am aware of.
## Use cases (Optional)
If this PR introduces a new feature, it is better to list some use cases
here, and update the documentation.
---------
Co-authored-by: 谢昕辰 <xiexinch@outlook.com>
Co-authored-by: CSH <40987381+csatsurnh@users.noreply.github.com>
## Motivation
For support with reading multiple remote sensing image formats, please
refer to https://gdal.org/drivers/raster/index.html.
Byte, UInt16, Int16, UInt32, Int32, Float32, Float64, CInt16, CInt32,
CFloat32 and CFloat64 are supported for reading and writing.
Support input of two images for change detection tasks, and support the
LEVIR-CD dataset.
## Modification
Add LoadSingleRSImageFromFile in 'mmseg/datasets/transforms/loading.py'.
Load a single remote sensing image for object segmentation tasks.
Add LoadMultipleRSImageFromFile in
'mmseg/datasets/transforms/loading.py'.
Load two remote sensing images for change detection tasks.
Add ConcatCDInput in 'mmseg/datasets/transforms/transforms.py'.
Combine images that have been separately augmented for data enhancement.
Add BaseCDDataset in 'mmseg/datasets/basesegdataset.py'
Base class for datasets used in change detection tasks.
---------
Co-authored-by: xiexinch <xiexinch@outlook.com>
Motivation
Typo in docs/en/user_guides/visualization_feature_map.md.
Modification
reature -> feature
Checklist
- [x] Pre-commit or other linting tools are used to fix the potential
lint issues.
- [x] The modification is covered by complete unit tests. If not, please
add more unit test to ensure the correctness.
- [x] If the modification has potential influence on downstream
projects, this PR should be tested with downstream projects, like MMDet
or MMDet3D.
- [x] The documentation has been modified accordingly, like docstring or
example tutorials.
