Thanks for your contribution and we appreciate it a lot. The following
instructions would make your pull request more healthy and more easily
get feedback. If you do not understand some items, don't worry, just
make the pull request and seek help from maintainers.
## Motivation
Use the pytorch-grad-cam tool to visualize Class Activation Maps (CAM).
## Modification
Use the pytorch-grad-cam tool to visualize Class Activation Maps (CAM).
requirement: pip install grad-cam
run commad: python tools/analysis_tools/visualization_cam.py
## BC-breaking (Optional)
Does the modification introduce changes that break the
backward-compatibility of the downstream repos?
If so, please describe how it breaks the compatibility and how the
downstream projects should modify their code to keep compatibility with
this PR.
## 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.
2. The modification is covered by complete unit tests. If not, please
add more unit test to ensure the correctness.
3. The documentation has been modified accordingly, like docstring or
example tutorials.
## Motivation
## Modification
The confusion_matrix.py is not compatible with the current version of
mmseg.
---------
Co-authored-by: xiexinch <xiexinch@outlook.com>
Thanks for your contribution and we appreciate it a lot. The following
instructions would make your pull request more healthy and more easily
get feedback. If you do not understand some items, don't worry, just
make the pull request and seek help from maintainers.
## Motivation
Please describe the motivation of this PR and the goal you want to
achieve through this PR.
## Modification
Please briefly describe what modification is made in this PR.
1. add `NYUDataset`class
2. add script to process NYU dataset
3. add transforms for loading depth map
4. add docs & unittest
## BC-breaking (Optional)
Does the modification introduce changes that break the
backward-compatibility of the downstream repos?
If so, please describe how it breaks the compatibility and how the
downstream projects should modify their code to keep compatibility with
this PR.
## 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.
5. The modification is covered by complete unit tests. If not, please
add more unit test to ensure the correctness.
6. If the modification has potential influence on downstream projects,
this PR should be tested with downstream projects, like MMDet or
MMDet3D.
7. The documentation has been modified accordingly, like docstring or
example tutorials.
## Motivation
When processing data in the isaid experiment, generated images only have
binary pixel values of 0 or 1 instead of the corresponding class values.
This causes significant interference and prevents subsequent experiments
from proceeding. After investigation, it was found that the issue was
caused by using the wrong image format for saving the images. Saving the
images as PNG resulted in binary pixel values, while saving the images
as BMP resolved the issue and correctly saved the class values.
## Modification
`img_patch.save(save_path_image, format='BMP')`
This code will save the image data as BMP format.
## BC-breaking
Confirm that the modification does not introduce new issues and test
that the modified code successfully resolves the original problem.
---------
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
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.
* tta init
* use mmcv transform
* test city
* add multiscale
* fix merge
* add softmax to post process
* add ut
* add tta pipeline to other datasets
* remove softmax
* add encoder_decoder_tta ut
* add encoder_decoder_tta ut
* rename
* rename file
* rename config
* rm aug_test
* move flip to post process
* fix channel
* [WIP] Refactor data flow
* model return
* [WIP] Refactor data flow
* support data_samples is optional
* fix benchmark
* fix base
* minors
* rebase
* fix api
* ut
* fix api inference
* comments
* docstring
* docstring
* docstring
* fix bug of slide inference
* add assert c > 1
* add an argument for customizing `title' of the output figure
* fix `color_theme' arguments not passing to plot function
Signed-off-by: code14 <mob5566@gmail.com>
* generate and plot confusion matrix
* fix typo
* add usage and examples for confusion matrix
* deal with nan values(pick pr#7147 mmdet)
* fix md format
angiecao
Peng Lu
zhen6618
Gorgeous
谢昕辰
Kedreamix
zoulinxin
Miguel Méndez
Miao Zheng
jinxianwei
Andrew Lau
王永韬
MengzhangLI
zhengmiao
xiexinchen.vendor
limengzhang.vendor
linfangjian.vendor
Pan Zhang
FangjianLin
Cody Wong
wangliujun
Rockey
Hyeokjoon Kwon