GitLab

* fix bug of ssd

* clean

* define data pipelines

* update two config files

* minor fix for config files

* allow img_scale to be optional and update config

* add some docstrings

* add extra aug to transform

* bug fix for mask resizing

* fix cropping

* add faster rcnn example

* fix imports

* fix robustness testing

* add img_norm_cfg to img_meta

* fix the inference api with the new data pipeline

* fix proposal loading

* delete args of DefaultFormatBundle

* add more configs

* update configs

* bug fix

* add a brief doc

* update gt_labels in RandomCrop

* fix key error for new apis

* bug fix for masks of crowd bboxes

* add argument data_root

* minor fix

* update new hrnet configs

* update docs

* rename MultiscaleFlipAug to MultiScaleFlipAug

* add __repr__ for all transforms

* move DATA_PIPELINE.md to docs/

* fix image url

* Added vertical flipping in bbox_flip

* Fixed linting errors

* Fixed linting errors

* Added a blank line in docstrings

* Fixed linting errors.

* Add robust detection benchmark

* Update readmes

* Changed readmes for pull request

* Ensure pep8 conformity

* fixed formatting

* Fix yapf errors

* minor formatting

* fix imports order

* fix the imports in __init__.py

* update contribution guide

* add isort config

* use isort to sort imports

* add isort to travis

* format the codebase with yapf

* add yapf to travis

* added cityscapes

* updated configs

* removed wip configs

* Add initial dataset instructions

* Add cityscapes readme

* Add explanation for lr scaling

* Ensure pep8 conformity

* Add CityscapesDataset to the registry

* add benchmark

* rename config, modify README.md

* fix typo

* fix typo in config

* modify INSTALL.md

Update information how to arrange cityscapes data.

* Add cityscapes class names

* Require an operation(Save or Show the results) when testing

* using parentheses

* Warning when skip image

* added parameter skip_img_without_anno for dataset

* print filename when warning

* Added Registry use for validation datasets (distributed)

* Allowing for default_args for build_dataset

* Using build_dataset instead of build_from_cfg

* Fixing build-errors on Windows (add some compile args, which are default on Linux)

* Fixing build-errors on Windows

* minor formatting

* Fixing errors on windows

1.Adding 'cxx' key for extra_compile_args
2.Adding type-cast to long for first parameter of THCCeilDiv facebookresearch/maskrcnn-benchmark#409
3.Ignoring resource setting on windows

* update the order of import statements

* use registry to manage datasets

* bug fix for concat dataset

* update documentation to fit the new api

* Fix an import error for `get_world_size` and `get_rank`

* Only import torch.distributed when needed

torch.distributed is only used in DistributedGroupSampler

* use `get_dist_info` to obtain world size and rank

`get_dist_info` from `mmcv.runner.utils` handles the problem of `distributed_c10d` doesn't exist.

* Add support of the wider face dataset

* Update readme

* Prevent ignoring boxes in test mode

* Rename wider to wider_face

* Rename configs for wider face

* Reformat use yapf 0.27.0

* Add yapf style file

* rewrite multigpu testing with mmddp

* fix an indent

* update slurm testing script

* update readme and scripts

* add HybridTaskCascade

* add configs for other backbones

* add keep_ratio argument for segmap transform

* add readme for HTC

* fix linting errors

* split assign and sampling as in Cascade R-CNN

* remove unused imports

* add a large model

* update htc