[Enhancement] Change inference time from 'fps' to 'ms/im' in metafile

[Enhancement] Add PR template

* [Fix] Fix vit init bug

* Add some vit unit tests

* Modify module import

* Fix pretrain weights bug

* Modify pretrained judge

* Add some unit tests to improve code cov

* Optimize code

* Fix vit unit test

Co-authored-by: hejunjun <hejunjun@pjlab.org>

* [Refactor] Using mmcv bricks to refactor vit

* Follow the vit code structure from mmclassification

* Add MMCV install into CI system.

* Add  to 'Install MMCV' CI item

* Add 'Install MMCV_CPU' and 'Install MMCV_GPU CI' items

* Fix & Add

1. Fix low code coverage of vit.py;

2. Remove HybirdEmbed;

3. Fix doc string of VisionTransformer;

* Add helpers unit test.

* Add converter to convert vit pretrain weights from timm style to mmcls style.

* Clean some rebundant code and refactor init

1. Use timm style init_weights;

2. Remove to_xtuple and trunc_norm_;

* Add comments for VisionTransformer.init_weights()

* Add arg: pretrain_style to choose timm or mmcls vit pretrain weights.

* [Feature] Move 'Install MMCV' to a independent CI item.

* Merge MMCV install into MMSEG dependencies install

* Fix bug of 'Install MMCV'

* Remove duplicate CI items

* Fix torch device

* Split cpu env and gpu env into two CI project

* Fix some mmdet related bugs

* Fix mmcv-full install bug of build_cpu CI project.

* [Refactor]: Unified parameter initialization

* fixed pretrained

* Add  save_best option in eval_hook.

* Update meta to fix best model can not test bug

* refactor with _do_evaluate

* remove redundent

* add meta

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

* 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 trt test tool

* create deploy_test, update document

* fix with isort

* move import inside __init__

* remove comment, fix doc

* update document

https://openaccess.thecvf.com/CVPR2017 does not contain DeepLabV3

* [Feature] Add results2img, format_results for ade dataset.

* clean rebundant code.

* fix verify bugs

* rename args

* Add arg: final_reshape to control if converting output feature information from NLC to NCHW;

* Fix the default value of final_reshape;

* Modify arg: final_reshape to arg: out_shape;

* Fix some unit test bug;

* mmcv eval hook

* mmcv evalhook compatible

* add warnings

* inherit from base class

* fix unitest

* adapt to mmcv 1.3.1

* fixed unittest

* set by_epoch=False

* fixed efficient test

* update docstring

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

* add mFscore and refactor the metrics return value

* fix linting

* some docstring and name fix

* Adjust vision transformer backbone architectures;

* Add DropPath, trunc_normal_ for VisionTransformer implementation;

* Add class token buring intermediate period and remove it during final period;

* Fix some parameters loss bug;

* * Store intermediate token features and impose no processes on them;

* Remove class token and reshape entire token feature from NLC to NCHW;

* Fix some doc error

* Add a arg for VisionTransformer backbone to control if input class token into transformer;

* Add stochastic depth decay rule for DropPath;

* * Fix output bug when input_cls_token=False;

* Add related unit test;

* * Add arg: out_indices to control model output;

* Add unit test for DropPath;

* Apply suggestions from code review

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

* support reading class_weight from file in loss function

* add unit test of loss with class_weight from file

* minor fix

* move get_class_weight to utils

* remove dict calling img key for compatibility

* fix unit test

* infer batch size using len(result) to be consistent with mmcv

* add onnxruntime test tool, update pytorch2onnx to support slice export

* onnx convert with custom output shape, update test code

* update pytorch2onnx, add rescale_shape support, add document

* update doc for lint error fixing

* remove cpu flag in ort_test.py

* change class name, fix cuda error

* remote comment

* fix bug of torch2onnx

* mIOU to mIoU

* [Refactor] Use MMCV MODEL_REGISTRY

* fixed args

* init

* upsample v1.0

* fix errors

* change to in_channels list

* add unittest, docstring, norm/act config and rename

Co-authored-by: xiexinch <test767803@foxmail.com>

Fix "the output num_classes of auxiliary head is not same as num_classes of ground truth seg_map". (#488)

* Fix "the output num_classes of auxiliary head is not match num_classes of ground truth seg_map".

* Fix spelling mistake;

* Modify "model download link", "log link";

* Add some publish information

* Fix some readme omission.

* fixed fp16

* update fps