* [WIP] Fix MMSegmentation colab demo

* wip

* fix

* revise config

* seg branch

* colab link

* engine install

* demo image

* remove inference

* fix inference pipeline

* typo

* [WIP] mmcv-clean

* [WIP]Remove modules from mmcv.runner and mmcv.utils

* wip

* fix import mmengine

* remove ut

* loadcheckpoint in mae

* [Feature] Add SegVisualizer

* change name to visualizer_example

* fix inference api

* fix video demo and refine inference api

* fix

* mmseg compose

* set default device to cuda:0

* fix import

* update dir

* rm engine/visualizer ut

* refine inference api and docs

* rename

Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>

* [Enhancement] Delete DS_Store file

* [Enhancement] Fix the build_segmentor

* [fix] cfg dir in colab

* Update demo/MMSegmentation_Tutorial.ipynb

* fixed a couple of issues that made the notebook not work in colab

i fixed a couple of issues that made the notebook not work in colab 
1. it downloaded incompatible versions of pytorch and cuda + the conda command doesnt do anything in colab since there is no conda in colab idk w y wanna do about that - The commit of 2 days ago only changes the conda command version and not the pip command which is used while isntaling mcvv
2. /demo.png doesnt exist in colab so i added a wget to download some cityscapes photo from the internet and run inference on that photo
3. i think it would be optimal to have 2 notebooks. 1 for running locally when cloning your git branch and one to run in google colab.

* Update demo/MMSegmentation_Tutorial.ipynb

* Update demo/MMSegmentation_Tutorial.ipynb

* Update demo/MMSegmentation_Tutorial.ipynb

* Update demo/MMSegmentation_Tutorial.ipynb

* Update demo/MMSegmentation_Tutorial.ipynb

Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>

* update pytorch and cudatoolkit versions for colab

Previous version was throwing an error after calling for mmseg.apis import (line 147) due to incompatible cudatoolkit version in colab.

* Update description about versions used

* colab notebook: fix outdated link for doc

Fixed outdated link for how to customize your datasets by reorganizing data.

* fix lint

typos

* Update the installation of MMCV

* use matrix.torch_version

* fix typo in doc

* fix docs

* fix colab

* change docs

* merge docs/ and docs_zh-CN/

* merge docs/ and docs_zh-CN/

* merge docs/ and docs_zh-CN/

* merge docs/ and docs_zh-CN/

* fix launch utility url

* fix launch utility url

* fix wrong pytorch doc url

* remove wrong links docs//

* First commit for video demo

* fix lint

* update

* fix

* add wget in shell

* replace the unavailable pspnet model download address with the updated address

* replace the unavailable pspnet model download address with the updated address

fixed the link to *.pth broken link

* Add header for files

* Delete header in config files

* 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>

* add more CI

* fix missing

* remove python-version

* fixed acc

* add badge

* Created using Colaboratory

* add read docs

* Fixed readthedocs

* fixed colab ref

* add readthedocs.txt

* add link

* fixed modelzoo link

* add missing reference

* fixed docs

* remove relative path in docs

* add colab in README.md

* update docker image

* add newline

* fixed br