## Motivation
Introducing new models and features into OpenMMLab's algorithm libraries
has long been complained to be troublesome due to the rigorous
requirements on code quality, which could hinder the fast iteration of
SOTA models and might discourage potential contributors from sharing
their latest outcome here.
Ref: https://github.com/open-mmlab/mmsegmentation/pull/2412
## Modification
This PR adds a new `projects/` folder, which will be a place for some
experimental models/features. Implementations inside might be not quite
perfect but already fine to produce some exciting results. We hope that
this PR can help us better embrace the contribution from our community.
We also add the first example project to illustrate what we expect a
good project to have.
## Motivation
The docstring in the class PascalContextDataset59 is misleading. Try to fix it.
## Modification
The docstring in the class PascalContextDataset59 is changed.
add custom dataset
add face occlusion dataset
add config file for occlusion face
fix format
update prepare.md
formatting
formatting
fix typo error for doc
update downloading process
Update dataset_prepare.md
PR fix version to original repository. change to original repository.
* [Feature] Add model ensemble tool
* [Enhance] Add en and zh_cn instructions for model_ensemble
* [Enhance] Add default-value for --out and modify instruction
* [Enhance] Add arg-type for --out
* [Enhance] Delete redundant code
* logger hooks samples updated
* [Docs] Details for WandBLoggerHook Added
* [Docs] lint test pass
* [Enhancement] .dev Python files updated to get better performance and quality
* [Docs] Details for WandBLoggerHook Added
* [Docs] lint test pass
* [Enhancement] .dev Python files updated to get better performance and quality
* [Enhancement] lint test passed
* [Enhancement] Change Some Line from Previous to Support Python<3.9
* Update .dev/gather_models.py
Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
* [Fix] Fix mmseg.api.inference inference_segmentor
Motivation
Fix inference_segmentor not working with multiple images path or images. List[str/ndarray]
Modification
- process images if instance is list
* fix typo
* Update mmseg/apis/inference.py
Co-authored-by: Hakjin Lee <nijkah@gmail.com>
Co-authored-by: Hakjin Lee <nijkah@gmail.com>
* fix binary
* add ut
* fix ut
* restore metric computation
* remove metric ut update
* set out_channels by num_classes
* replace num_classes in encoder_decoder
* update props setting and fix ut
* update ut
* minor change
* update warning
RandomMosaic is not working with the suggested configuration. In order to make use of the MultiImageMixDataset, the following lines:
```
dict(type='LoadImageFromFile')
dict(type='LoadAnnotations')
```
should be provided to both the wrapped and wrapper datasets.
