* change md2yml file

* update metafile

* update twins In Collection automatically

* fix twins metafile

* fix twins metafile

* all metafile use value of Method

* update collect name

* update collect name

* fix some typo

* fix FCN D6

* change JPU to FastFCN

* fix some typos in DNLNet, NonLocalNet, SETR, Segmenter, STDC, FastSCNN

* fix typo in stdc

* fix typo in DNLNet and UNet

* fix NonLocalNet typo

* fix README.md in configs

* fix README.md in configs

* modify [ALGORITHM] to [BACKBONE] in backbone config README.md

* add abstract and main figure

* add abstract and main figure

* remove fp16 folder

* remove fp16 in docs

* fix some typos

* fix some typos

* fix fp16 in yml

* [Enhancement] Change readme style and prepare for metafiles update.

* Update apcnet github repo url.

* add code snippet.

* split code snippet & official repo.

* update md2yml hook.

* Update metafiles.

* Add converted from attribute.

* process conflict.

* Put defualt variable value.

* update bisenet v2 metafile.

* checkout to ubuntu environment.

* pop empty attribute & make task attribute list.

* update readme style

* update readme style

* update metafiles

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

* support coco stuff-10k/164k

* update docs

* fix docs

* update docs

* fix import lints

* Update docs/dataset_prepare.md

* Update docs/dataset_prepare.md

* Update tools/convert_datasets/coco_stuff164k.py

* Update tools/convert_datasets/coco_stuff10k.py

* Update tools/convert_datasets/coco_stuff10k.py

* Update tools/convert_datasets/coco_stuff10k.py

* Update tools/convert_datasets/coco_stuff10k.py

* Update coco_stuff.py

fix the description of the dataset

* Update dataset_prepare.md

fix the doc tree of coco stuff 10k

* Update coco_stuff10k.py

fix img_dir

* Update coco_stuff.py

fix descriptions

* Update coco_stuff164k.py

fix out_dir

* Update coco_stuff10k.py

fix save file name

* Update coco_stuff.py

fix seg_map_suffix

* Update dataset_prepare.md

fix -p

* Update dataset_prepare.md

fix doc tree

* modify coco stuff convertor

* Remove redundant code

* fix 164k convert bug

* remove redundant comment

* add deeplabv3 configs and more iterations

* replace shutil.move with shtil.copyfile

* Update deeplabv3_r50-d8_512x512_4x4_80k_coco_stuff10k.py

fix wrong config

* Update deeplabv3_r101-d8_512x512_4x4_80k_coco_stuff164k.py

fix wrong config

* fix wrong configs

* fix wrong configs

* fix wrong path for coco stuff 10k

* fix convert bugs

* fix seg_filename bug

* when nproc=0, use track progress

* rename configs: coco_stuff --> coco-stuff

* add coco-stuff 10k and 164k to README.md

* update configs

* add deeplabv3 benchmark

* add pspnet benchmark

* remove redundant comma

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

* Improve docs style

* update lists

* update the size of image

* modify duplicate mmdet3d

* init script

* update scripts and generate new yml

* fix lint: deeplabv3plus.yml

* modify resolution representation

* remove  field

* format crop_size

* update metafiles

* update metafiles

* dice loss

* format code, add docstring and calculate denominator without valid_mask

* minor change

* restore

* add metafile

* add manifest.in and add config at setup.py

* add requirements

* modify manifest

* modify manifest

* Update MANIFEST.in

* add metafile

* add metadata

* fix typo

* Update metafile.yml

* Update metafile.yml

* minor change

* Update metafile.yml

* add subfix

* fix mmshow

* add more  metafile

* add config to model_zoo

* fix bug

* Update mminstall.txt

* [fix] Add models

* [Fix] Add collections

* [fix] Modify collection name

* [Fix] Set datasets to unet metafile

* [Fix] Modify collection names

* complement inference time

* Add support for Pascal Context 59 classes (#459)

* Create PascalContextDataset59 class in mmseg/datasets/pascal_context.py;

* Set reduce_zero_label=True for train_pipeline and PascalContextDataset59;

* Add some configs for Pascal-Context 59 classes training and testing;

* Try to solve the problem about "fence(IoU)=nan grass(IoU)=0";

* Continue(1): Try to solve the problem about "fence(IoU)=nan grass(IoU)=0";

* ignore files and folders named tempxxx;

* Continue(2): Try to solve the problem about "fence(IoU)=nan grass(IoU)=0";

* Modify the calculation of IoU;

* Modify the CLASSES order of PascalContextDataset;

* Add "fcn", "deeplabv3", "deeplabv3+", "pspnet" config file for model training based on PascalContextDataset59;

Add some ignore items in ".gitignore";

* fix the bug "test_cfg specified in both outer field and model field " of pspnet config file;

* * Clean unnecessary codes;

* Add weighs link, config link, log link and evaluation results about PascalContextDataset59 in README.md

* Add command line argument: "-p | --port", this arg can change the transmit port when you transmit data to distributed machine.

* * Remove rebundant config files;

* Remove "-p|--port" command argument;

Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>

* [Bug fix] Fixed ADE20k test

* fixed ade cfg

* [Improvement] Move train_cfg/test_cfg inside model

* fixed config dict

* fixed config dict

* add more configs

* add more configs

* fixed backbone type

* fixed deeplabv3+ channels

* add r101

* update link

* change resnet18 link

* update aug test

* add inf time

* add mem

* [Improvement] Add markdown linter and fix linting errors

* fixed pip

* Add D16-MG124 models

* Use MMCV DepthSepConv

* add OHEM

* add warmup

* fixed test

* fixed test

* change to bs 16

* revert config

* add models

* Add Pascal Context to mmsegmentation

* Add benchmark result to Pascal Context

* fix mmcv version

* fix code syntax

* fix code syntax again

* Update mmseg/models/segmentors/encoder_decoder.py

update hint

Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>

* update comment

* fix pascal context model path

* fix model path mistake again

* fix model path mistake again

* fix model path mistakes again

Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>