谢昕辰 a95f6d8173
[Feature] support mim (#549)
* 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
2021-05-31 15:07:24 -07:00

63 lines
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YAML

Collections:
- Name: PointRend
Metadata:
Training Data:
- Cityscapes
- ADE20K
Models:
- Name: pointrend_r50_512x1024_80k_cityscapes
In Collection: PointRend
Metadata:
inference time (fps): 8.48
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 76.47
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r50_512x1024_80k_cityscapes/pointrend_r50_512x1024_80k_cityscapes_20200711_015821-bb1ff523.pth
Config: configs/pointrend/pointrend_r50_512x1024_80k_cityscapes.py
- Name: pointrend_r101_512x1024_80k_cityscapes
In Collection: PointRend
Metadata:
inference time (fps): 7.00
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 78.30
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r101_512x1024_80k_cityscapes/pointrend_r101_512x1024_80k_cityscapes_20200711_170850-d0ca84be.pth
Config: configs/pointrend/pointrend_r101_512x1024_80k_cityscapes.py
- Name: pointrend_r50_512x512_160k_ade20k
In Collection: PointRend
Metadata:
inference time (fps): 17.31
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
Metrics:
mIoU: 37.64
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r50_512x512_160k_ade20k/pointrend_r50_512x512_160k_ade20k_20200807_232644-ac3febf2.pth
Config: configs/pointrend/pointrend_r50_512x512_160k_ade20k.py
- Name: pointrend_r101_512x512_160k_ade20k
In Collection: PointRend
Metadata:
inference time (fps): 15.50
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
Metrics:
mIoU: 40.02
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r101_512x512_160k_ade20k/pointrend_r101_512x512_160k_ade20k_20200808_030852-8834902a.pth
Config: configs/pointrend/pointrend_r101_512x512_160k_ade20k.py