* Support fcn dilate 6

* Support dilate in FCNHead

* configs for cityscapse dataset

* add configs for pytorch pretrained model

* update README

* add fps test results

* add memory test results and links

* modify log names

* Update mmseg/models/decode_heads/fcn_head.py

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

* dice loss

* format code, add docstring and calculate denominator without valid_mask

* minor change

* restore

* bump to v0.11

* update readme

* [Bug fix] Fixed ADE20k test

* fixed ade cfg

* [Improvement] Move train_cfg/test_cfg inside model

* fixed config dict

* fixed config dict

* add lovasz loss

* Modify as comments

* Modify paper url

* add unittest and remove Var

* impove unittest

* Add UNet as backbone and FCN PSPNet DeepLabV3 as decode_head benchmark on 4 retinal vessel segmentation datasets

* adjust README of UNet

* memory efficient test

* implement efficient test

* merge

* Add document and docstring

* fix unit test

* add memory usage report

* fix tta bug

* modify as suggested

* fix test_tta bug

* Bump to v0.10

* change version

* 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

* delete markdownlint

* Support MobileNetV3

* fix import

* add mobilenetv3 head and configs

* Modify MobileNetV3 to semantic segmentation version

* modify mobilenetv3 configs

* add std configs

* fix Conv2dAdaptivePadding bug

* add configs

* add unitest and fix bugs

* fix lraspp unitest bugs

* restore

* fix unitest

* add MobileNetV3 docstring

* add mmcv

* add mmcv

* fix syntax bug

* fix unitest bug

* fix unitest bug

* fix unitest bugs

* fix docstring

* add configs

* restore

* delete unnecessary assert

* modify unitest

* delete benchmark

* add 4 retinal vessel segmentation configs of UNet

* fix flip augmentation

* add unet benchmark on 4 medical datasets

* fix hrf bug

* Support DMNet

* fix doc and delete norm_name

* refactor docs

* add docs

* add modelzoo

* refactor getting started

* Support APCNet

* code optimization

* add apcnet configs

* add benchmark

* add readme and model zoo

* fix doc

* update CI for pip 20.3

* fixed 1.6 torchvision

* delete python 3.8

* fixed mmcv

* add cuda home

* change to 1.2.2

* add pip upgrade

* install cuda for all

* add missing mmcv

* switch to deprecate

* Support resize data augmentation according to original image size (img_scale=None and retio_range is tuple)

* fix docstring

* fix bug

* add unittest

* img_scale=None in TTA

* fix bug

* add unittest

* fix typos

* fix bug

* add inference test

* fix E501 line too long (81 > 79 characters

* fix wrong config path

* fix num of augmentations (2) != num of image meta (1)

* Update test_inference.py

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

* Bump to 0.9.0

* add version

* add CLAHE transform

* fix syntax error

* fix syntax error

* restore

* add a test

* modify cv2 to mmcv

* add docstring

* modify

* restore

* fix mmcv.clahe error

* change mmcv version to 1.3.0

* fix bugs

* add all data transformers to __init__

* fix __init__

* fix test_transform

* add AdjustGamma transform

* restore

* change cv2 to mmcv

* simplify AdjustGamma

* fix syntax error

* modify

* fix syntax error

* change mmcv version to 1.3.0

* fix lut function name error

* fix syntax error

* fix range

* add dice evaluation metric

* add dice evaluation metric

* add dice evaluation metric

* support 2 metrics

* support 2 metrics

* support 2 metrics

* support 2 metrics

* fix docstring

* use np.round once for all

* add modelzoo statistics readthedocs

* chmod stat.py

* add modelzoo statistics readthedocs

* fix

* [Enhancement] Add args check for ignore_index

* Support ignore_index