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Tianlong Ai 432628b735
[Fix] Rename and Fix bug of projects HieraSeg (old PR #2444) (#2565) 
## Motivation
Supplementary PR #2444 
Fix tiny bug and add loss_by_feat() to compute loss to train.
The inference process have verified to be accurate.
## Modification
- modify `sep_aspp_contrast_head.py` , add `loss_by_feat()` function to
train(training still has bug, will fix in future😫)
- fix testing commands path error `bash tools/dist_test.sh
projects/HieraSeg_project/` to `bash tools/dist_test.sh
projects/HieraSeg/` at README.md
 		2023-02-06 18:55:22 +08:00
..
example_project [Projects] Add 'Projects/' folder, and the first example project (#2412) 2022-12-30 22:52:07 +08:00
hssn [Fix] Rename and Fix bug of projects HieraSeg (old PR #2444) (#2565) 2023-02-06 18:55:22 +08:00
isnet [Doc] Add checklist of ISNet (#2460) 2023-01-09 13:09:23 +08:00
mapillary_dataset CodeCamp #1555[Feature] Support Mapillary Vistas Dataset (#2484) 2023-01-20 14:25:51 +08:00
README.md [Projects] Add 'Projects/' folder, and the first example project (#2412) 2022-12-30 22:52:07 +08:00

README.md

Projects

Implementing new models and features into OpenMMLab's algorithm libraries could be troublesome due to the rigorous requirements on code quality, which could hinder the fast iteration of SOTA models and might discourage our members from sharing their latest outcomes here.

And that's why we have this Projects/ folder now, where some experimental features, frameworks and models are placed, only needed to satisfy the minimum requirement on the code quality, and can be used as standalone libraries. Users are welcome to use them if they use MMSegmentation from source.

Everyone is welcome to post their implementation of any great ideas in this folder! If you wish to start your own project, please go through the example project for the best practice.

Note: The core maintainers of MMSegmentation only ensure the results are reproducible and the code quality meets its claim at the time each project was submitted, but they may not be responsible for future maintenance. The original authors take responsibility for maintaining their own projects.