## Motivation
Change the dependency `mmcls` to `mmpretrain`
## Modification
- modify `mmcls` to `mmpretrain`
- modify CI requirements
## BC-breaking (Optional)
If users have installed mmcls but not install mmpretrain, it might raise some error.
## 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.
## Motivation
1. It is used to save the segmentation predictions as files and upload
these files to a test server
## Modification
1. Add output_file and format only in `IoUMetric`
## BC-breaking (Optional)
No
## Use cases (Optional)
If this PR introduces a new feature, it is better to list some use cases
here, and update the documentation.
## Checklist
1. Pre-commit or other linting tools are used to fix the potential lint
issues.
3. The modification is covered by complete unit tests. If not, please
add more unit test to ensure the correctness.
4. If the modification has potential influence on downstream projects,
this PR should be tested with downstream projects, like MMDet or
MMDet3D.
5. The documentation has been modified accordingly, like docstring or
example tutorials.
## Motivation
Make MMSeginferencer easier to be used
## Modification
1. Add `_load_weights_to_model` to MMSeginferencer, it is for get
`dataset_meta` from ckpt
2. Modify and remove some parameters of `__call__`, `visualization` and
`postprocess`
3. Add function of save seg mask, remove dump pkl.
4. Refine docstring of MMSeginferencer and SegLocalVisualizer
5. Add the user documentation of MMSeginferencer
## BC-breaking (Optional)
yes, remove some parameters, we need to discuss whether keep them with
deprecated waring or just remove them as the MMSeginferencer just merged
in mmseg a few days.
Co-authored-by: xiexinch <xiexinch@outlook.com>
## Motivation
As the mmdet and mmcls are not very stabel, and mim can install repo
from source code, we remove them from mminstall and they won't be
installed automatically when run `mim install mmsegmentation`
## Modification
1. remove mmdet and mcls from mminstall
2. add explanation in faq
---------
Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
## Motivation
In MMEngine >= 0.2.0, it might directly determine what the backend is by
using the `data_root` path.
## Modification
Set all default `backend_args` values are `None`.
## Motivation
Docs for Visualization featusre map using wandb backend.
## Modification
Add a new markdown file and result demo of wandb.
---------
Co-authored-by: MeowZheng <meowzheng@outlook.com>
CastleDream
谢昕辰
Tianlong Ai
WuFan
zoulinxin
jts250
JoshuaChou
tianlei
Mengyang Liu
CSH
任祉涵
Miao Zheng
jinxianwei
MengzhangLI
wangjiangben-hw
Yijie Zheng
Andrew Lau