Commit Graph

16 Commits (5fc197900f3ba1b031d998d604b01774b0914f5a)

Author SHA1 Message Date
CastleDream 057155d3ab
[Feature] add bdd100K datasets (#3158)
## Motivation
Integrate [BDD100K](https://paperswithcode.com/dataset/bdd100k) dataset.
It shares the same classes as Cityscapes, and it's commonly used for
evaluating segmentation/detection tasks in driving scenes, such as in
[RobustNet](https://arxiv.org/abs/2103.15597),
[WildNet](https://github.com/suhyeonlee/WildNet).

Enhancement for Add BDD100K Dataset #2808

---------

Co-authored-by: xiexinch <xiexinch@outlook.com>
2023-07-14 10:09:16 +08:00
WuFan b89c2c4cb7
[Feature] Support DSDL Dataset (#2925)
- support dsdl seg dataset 
- add dsdl dataset citest
- validated accuracy on voc2012 and cityscapes
2023-05-10 16:54:42 +08:00
谢昕辰 1f1f2666b5
[Dev] Replace the test images (#2754)
## Motivation

The original images are too large.

## Modification

Crop to small images.
2023-03-15 18:29:16 +08:00
Tianlong Ai 8c89ff3dd1
[Datasets] Add Mapillary Vistas Datasets to MMSeg Core Package. (#2576)
## [Datasets] Add Mapillary Vistas Datasets to MMSeg Core Package .
## Motivation
Add Mapillary Vistas Datasets to core package.
Old PR #2484 

## Modification
- Add Mapillary Vistas Datasets to core package.
- Delete `tools/datasets_convert/mapillary.py` , dataset does't need
converting.
- Add `schedule_240k.py`  config.
- Add configs files.  
  ```none
  deeplabv3plus_r101-d8_4xb2-240k_mapillay_v1-512x1024.py
  deeplabv3plus_r101-d8_4xb2-240k_mapillay_v2-512x1024.py
  maskformer_swin-s_4xb2-240k_mapillary_v1-512x1024.py
  maskformer_swin-s_4xb2-240k_mapillary_v2-512x1024.py
  maskformer_r101-d8_4xb2-240k_mapillary_v1-512x1024.py
  maskformer_r101-d8_4xb2-240k_mapillary_v2-512x1024.py
  pspnet_r101-d8_4xb2-240k_mapillay_v1-512x1024.py
  pspnet_r101-d8_4xb2-240k_mapillay_v2-512x1024.py
  ```
- Synchronized changes to `projects/mapillary_datasets`

---------

Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
Co-authored-by: xiexinch <xiexinch@outlook.com>
2023-03-15 14:44:38 +08:00
Andrew Lau 49b062e365
CodeCamp #139 [Feature] Support REFUGE dataset. (#2554)
## Motivation 
Add REFUGE datasets
Old PR: https://github.com/open-mmlab/mmsegmentation/pull/2420

---------

Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
2023-02-03 16:02:19 +08:00
王永韬 2d67e51db3
CodeCamp #140 [New] [Feature] Add synapse dataset and data augmentation in dev-1.x. (#2432)
## Motivation

Add Synapse dataset in MMSegmentation.
Old PR: https://github.com/open-mmlab/mmsegmentation/pull/2372.
2023-01-06 16:14:54 +08:00
Miao Zheng b21df463d4
[Feature] LIP dataset (#2187)
* [WIP] LIP dataset

* wip

* keep473

* lip dataset prepare

* add ut and test data
2022-10-31 20:47:52 +08:00
Miao Zheng 3d8fd35e26
[Feature]Add Decathlon dataset (#2227)
* [Feature]Add Decathlon dataset

* fix test data

* add file

* remove order

* revise default value for prefix

* modify example

* revise based on  comments

* add comments for ut
2022-10-26 20:10:42 +08:00
Miao Zheng 20c7dc689c
[Feature] Add BioMedical data loading (#2176)
* [WIP] Add BioMedical data loading

* add depends nibabel

* fix bug

* fix ut

* fix

* add test data

* xyz2zyx zyx2xyz

* format

* remove ignore empty

* remove ignore empty

* remove with seg in LoadBiomedicalAnnotation

* float32

* docstring

* toxyz

* docstring
2022-10-18 16:30:08 +08:00
linfangjian.vendor 6053345b3d [Refactor] Refactor cityscapes metrics 2022-06-28 03:21:33 +00:00
Waterman0524 a93423e1fd [Feature] Support iSAID aerial dataset. (#1115)
* support iSAID aerial dataset

* Update and rename docs/dataset_prepare.md to 博士/dataset_prepare.md

* Update dataset_prepare.md

* fix typo

* fix typo

* fix typo

* remove imgviz

* fix wrong order in annotation name

* upload models&logs

* upload models&logs

* add load_annotations

* fix unittest coverage

* fix unittest coverage

* fix correct crop size in config

* fix iSAID unit test

* fix iSAID unit test

* fix typos

* fix wrong crop size in readme

* use smaller figure as test data

* add smaller dataset in test data

* add blank in docs

* use 0 bytes pseudo data

* add footnote and comments for crop size

* change iSAID to isaid and add default value in it

* change iSAID to isaid in _base_

Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
2022-02-17 19:07:32 +08:00
MengzhangLI fe42371297 [Feature] Support ISPRS Vaihingen Dataset. (#1171)
* Add Vaihingen

* upload models&logs of vaihingen

* fix unit test

* fix dataset pipeline

* fix unit test coverage

* fix vaihingen docstring
2022-01-22 20:27:51 +08:00
Kingdrone 634fbceab0 [Feature] Support ISPRS Potsdam Dataset. (#1097)
* add isprs potsdam dataset

* add isprs dataset configs

* fix lint error

* fix potsdam conversion bug

* fix error in potsdam class

* fix error in potsdam class

* add vaihingen dataset

* add vaihingen dataset

* add vaihingen dataset

* fix some description errors.

* fix some description errors.

* fix some description errors.

* upload models & logs of Potsdam

* remove vaihingen and add unit test

* add chinese readme

* add pseudodataset

* use mmcv and add class_names

* use f-string

* add new dataset unittest

* add docstring and remove global variables args

* fix metafile error in PSPNet

* fix pretrained value

* Add dataset info

* fix typo

Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
2022-01-18 14:15:15 +08:00
Kingdrone 48d4222412 [Feature] Support LoveDA dataset (#1028)
* update LoveDA dataset api

* revised lint errors in dataset_prepare.md

* revised lint errors in loveda.py

* revised lint errors in loveda.py

* revised lint errors in dataset_prepare.md

* revised lint errors in dataset_prepare.md

* checked with isort and yapf

* checked with isort and yapf

* checked with isort and yapf

* Revert "checked with isort and yapf"

This reverts commit 686a51d9

* Revert "checked with isort and yapf"

This reverts commit b877e121bb.

* Revert "revised lint errors in dataset_prepare.md"

This reverts commit 2289e27c

* Revert "checked with isort and yapf"

This reverts commit 159db2f8

* Revert "checked with isort and yapf"

This reverts commit 159db2f8

* add configs & fix bugs

* update new branch

* upload models&logs and add format-only

* change pretraied model path of HRNet

* fix the errors in dataset_prepare.md

* fix the errors in dataset_prepare.md and configs in loveda.py

* change the description in docs_zh-CN/dataset_prepare.md

* use init_cfg

* fix test converage

* adding pseudo loveda dataset

* adding pseudo loveda dataset

* adding pseudo loveda dataset

* adding pseudo loveda dataset

* adding pseudo loveda dataset

* adding pseudo loveda dataset

* Update docs/dataset_prepare.md

Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>

* Update docs_zh-CN/dataset_prepare.md

Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>

* Update docs_zh-CN/dataset_prepare.md

Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>

* Delete unused lines of unittest and Add docs

* add convert .py file

* add downloading links from zenodo

* move place of LoveDA and Cityscapes in doc

* move place of LoveDA and Cityscapes in doc

Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
2021-11-24 19:41:19 +08:00
sennnnn 4e9c26bbbc [Refactor] Support progressive test with fewer memory cost (#709)
* Support progressive test with fewer memory cost.

* Temp code

* Using processor to refactor evaluation workflow.

* refactor eval hook.

* Fix process bar.

* Fix middle save argument.

* Modify some variable name of dataset evaluate api.

* Modify some viriable name of eval hook.

* Fix some priority bugs of eval hook.

* Depreciated efficient_test.

* Fix training progress blocked by eval hook.

* Depreciated old test api.

* Fix test api error.

* Modify outer api.

* Build a sampler test api.

* TODO: Refactor format_results.

* Modify variable names.

* Fix num_classes bug.

* Fix sampler index bug.

* Fix grammaly bug.

* Support batch sampler.

* More readable test api.

* Remove some command arg and fix eval hook bug.

* Support format-only arg.

* Modify format_results of datasets.

* Modify tool which use test apis.

* support cityscapes eval

* fixed cityscapes

* 1. Add comments for batch_sampler;

2. Keep eval hook api same and add deprecated warning;

3. Add doc string for dataset.pre_eval;

* Add efficient_test doc string.

* Modify test tool to compat old version.

* Modify eval hook to compat with old version.

* Modify test api to compat old version api.

* Sampler explanation.

* update warning

* Modify deploy_test.py

* compatible with old output, add efficient test back

* clear logic of exclusive

* Warning about efficient_test.

* Modify format_results save folder.

* Fix bugs of format_results.

* Modify deploy_test.py.

* Update doc

* Fix deploy test bugs.

* Fix custom dataset unit tests.

* Fix dataset unit tests.

* Fix eval hook unit tests.

* Fix some imcompatible.

* Add pre_eval argument for eval hooks.

* Update eval hook doc string.

* Make pre_eval false in default.

* Add unit tests for dataset format_results.

* Fix some comments and bc-breaking bug.

* Fix pre_eval set cfg field.

* Remove redundant codes.

Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>
2021-08-19 20:44:58 -07:00
Jiarui XU b2724da80b init commit 2020-07-10 02:39:01 +08:00