* [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

* 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>

* Description of arguments about tools pytorch2torchscript and print_config

* fix docs lint

* 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 tool pytorch2torchscript

* fix the assert message for pytorch version.

* 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