* 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

* [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>

* vit backbone

* fix lint

* add docstrings and fix pretrained pos_embed dim not match prob

* add unittest for vit

* fix lint

* add vit based fcn configs

* fix import error

* support multiple resolution input images

* upsample pos_embed at init_weights

* support resize pos_embed at evaluation

* fix training errors

* add more unitest code for vit backbone

* unitest for uncovered code

* add norm_eval unittest

* refactor _pos_embeding

* minor change

* change var name

* rafactor init_weight

* load weights after resize

* ignore 'module' in pretrain checkpoint

* add with_cp

* add with_cp

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

* 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>

* Fix fence(IoU) = 0 when training on PascalContextDataset59;

* Add a test case in test_metrics() of tests/test_metrics.py to test the bug caused by torch.histc;

* Update tests/test_metrics.py

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

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

* add dynamic export and visualize to pytorch2onnx

* update document

* fix lint

* fix dynamic error and add visualization

* fix lint

* update docstring

* update doc

* Update help info for --show

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

* fix lint

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

* add more CI

* fix missing

* remove python-version

* fixed acc

* refactor test organization

* fixed se layer

* update mmcv uper bound

Signed-off-by: lizz <lizz@sensetime.com>

* Fix typo: upsampe_cfg -> upsample_cfg

Signed-off-by: lizz <lizz@sensetime.com>

* convoluton -> convolution

Signed-off-by: lizz <lizz@sensetime.com>

* more

Signed-off-by: lizz <lizz@sensetime.com>

* ok

Signed-off-by: lizz <lizz@sensetime.com>

* Include each class metrics in logs

* format

* fix the unitest

* fix the custom int class_name

* fix the custom int class_name

* fix training bugs

* fix unitest error

* fix error in num_classes==2 case

* delete comments

* pytorch metrics impl and test

* support list[str] input, delete unused test code and delete numpy version

* modify input data type

* add docstring and unitest of filename inputs

* add indents in docstring and use tempfile lib to create dir

* using with statement

* 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

* 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

* 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

* Support DMNet

* fix doc and delete norm_name

* Support APCNet

* code optimization

* add apcnet configs

* add benchmark

* add readme and model zoo

* fix doc

* 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

* [Enhancement] Add args check for ignore_index

* Support ignore_index