a95f6d8173
* 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
232 lines
7.5 KiB
YAML
232 lines
7.5 KiB
YAML
Collections:
|
|
- Name: GCNet
|
|
Metadata:
|
|
Training Data:
|
|
- Cityscapes
|
|
- Pascal VOC 2012 + Aug
|
|
- ADE20K
|
|
|
|
Models:
|
|
|
|
- Name: gcnet_r50-d8_512x1024_40k_cityscapes
|
|
In Collection: GCNet
|
|
Metadata:
|
|
inference time (fps): 3.93
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 77.69
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/gcnet/gcnet_r50-d8_512x1024_40k_cityscapes/gcnet_r50-d8_512x1024_40k_cityscapes_20200618_074436-4b0fd17b.pth
|
|
Config: configs/gcnet/gcnet_r50-d8_512x1024_40k_cityscapes.py
|
|
|
|
|
|
|
|
- Name: gcnet_r101-d8_512x1024_40k_cityscapes
|
|
In Collection: GCNet
|
|
Metadata:
|
|
inference time (fps): 2.61
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 78.28
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/gcnet/gcnet_r101-d8_512x1024_40k_cityscapes/gcnet_r101-d8_512x1024_40k_cityscapes_20200618_074436-5e62567f.pth
|
|
Config: configs/gcnet/gcnet_r101-d8_512x1024_40k_cityscapes.py
|
|
|
|
|
|
|
|
- Name: gcnet_r50-d8_769x769_40k_cityscapes
|
|
In Collection: GCNet
|
|
Metadata:
|
|
inference time (fps): 1.67
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 78.12
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/gcnet/gcnet_r50-d8_769x769_40k_cityscapes/gcnet_r50-d8_769x769_40k_cityscapes_20200618_182814-a26f4471.pth
|
|
Config: configs/gcnet/gcnet_r50-d8_769x769_40k_cityscapes.py
|
|
|
|
|
|
|
|
- Name: gcnet_r101-d8_769x769_40k_cityscapes
|
|
In Collection: GCNet
|
|
Metadata:
|
|
inference time (fps): 1.13
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 78.95
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/gcnet/gcnet_r101-d8_769x769_40k_cityscapes/gcnet_r101-d8_769x769_40k_cityscapes_20200619_092550-ca4f0a84.pth
|
|
Config: configs/gcnet/gcnet_r101-d8_769x769_40k_cityscapes.py
|
|
|
|
|
|
|
|
- Name: gcnet_r50-d8_512x1024_80k_cityscapes
|
|
In Collection: GCNet
|
|
Metadata:
|
|
inference time (fps): 3.93
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 78.48
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/gcnet/gcnet_r50-d8_512x1024_80k_cityscapes/gcnet_r50-d8_512x1024_80k_cityscapes_20200618_074450-ef8f069b.pth
|
|
Config: configs/gcnet/gcnet_r50-d8_512x1024_80k_cityscapes.py
|
|
|
|
|
|
|
|
- Name: gcnet_r101-d8_512x1024_80k_cityscapes
|
|
In Collection: GCNet
|
|
Metadata:
|
|
inference time (fps): 2.61
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 79.03
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/gcnet/gcnet_r101-d8_512x1024_80k_cityscapes/gcnet_r101-d8_512x1024_80k_cityscapes_20200618_074450-778ebf69.pth
|
|
Config: configs/gcnet/gcnet_r101-d8_512x1024_80k_cityscapes.py
|
|
|
|
|
|
|
|
- Name: gcnet_r50-d8_769x769_80k_cityscapes
|
|
In Collection: GCNet
|
|
Metadata:
|
|
inference time (fps): 1.67
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 78.68
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/gcnet/gcnet_r50-d8_769x769_80k_cityscapes/gcnet_r50-d8_769x769_80k_cityscapes_20200619_092516-4839565b.pth
|
|
Config: configs/gcnet/gcnet_r50-d8_769x769_80k_cityscapes.py
|
|
|
|
|
|
|
|
- Name: gcnet_r101-d8_769x769_80k_cityscapes
|
|
In Collection: GCNet
|
|
Metadata:
|
|
inference time (fps): 1.13
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 79.18
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/gcnet/gcnet_r101-d8_769x769_80k_cityscapes/gcnet_r101-d8_769x769_80k_cityscapes_20200619_092628-8e043423.pth
|
|
Config: configs/gcnet/gcnet_r101-d8_769x769_80k_cityscapes.py
|
|
|
|
|
|
|
|
- Name: gcnet_r50-d8_512x512_80k_ade20k
|
|
In Collection: GCNet
|
|
Metadata:
|
|
inference time (fps): 23.38
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: ADE20K
|
|
Metrics:
|
|
mIoU: 41.47
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/gcnet/gcnet_r50-d8_512x512_80k_ade20k/gcnet_r50-d8_512x512_80k_ade20k_20200614_185146-91a6da41.pth
|
|
Config: configs/gcnet/gcnet_r50-d8_512x512_80k_ade20k.py
|
|
|
|
|
|
|
|
- Name: gcnet_r101-d8_512x512_80k_ade20k
|
|
In Collection: GCNet
|
|
Metadata:
|
|
inference time (fps): 15.20
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: ADE20K
|
|
Metrics:
|
|
mIoU: 42.82
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/gcnet/gcnet_r101-d8_512x512_80k_ade20k/gcnet_r101-d8_512x512_80k_ade20k_20200615_020811-c3fcb6dd.pth
|
|
Config: configs/gcnet/gcnet_r101-d8_512x512_80k_ade20k.py
|
|
|
|
|
|
|
|
- Name: gcnet_r50-d8_512x512_160k_ade20k
|
|
In Collection: GCNet
|
|
Metadata:
|
|
inference time (fps): 23.38
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: ADE20K
|
|
Metrics:
|
|
mIoU: 42.37
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/gcnet/gcnet_r50-d8_512x512_160k_ade20k/gcnet_r50-d8_512x512_160k_ade20k_20200615_224122-d95f3e1f.pth
|
|
Config: configs/gcnet/gcnet_r50-d8_512x512_160k_ade20k.py
|
|
|
|
|
|
|
|
- Name: gcnet_r101-d8_512x512_160k_ade20k
|
|
In Collection: GCNet
|
|
Metadata:
|
|
inference time (fps): 15.20
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: ADE20K
|
|
Metrics:
|
|
mIoU: 43.69
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/gcnet/gcnet_r101-d8_512x512_160k_ade20k/gcnet_r101-d8_512x512_160k_ade20k_20200615_225406-615528d7.pth
|
|
Config: configs/gcnet/gcnet_r101-d8_512x512_160k_ade20k.py
|
|
|
|
|
|
|
|
- Name: gcnet_r50-d8_512x512_20k_voc12aug
|
|
In Collection: GCNet
|
|
Metadata:
|
|
inference time (fps): 23.35
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Pascal VOC 2012 + Aug
|
|
Metrics:
|
|
mIoU: 76.42
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/gcnet/gcnet_r50-d8_512x512_20k_voc12aug/gcnet_r50-d8_512x512_20k_voc12aug_20200617_165701-3cbfdab1.pth
|
|
Config: configs/gcnet/gcnet_r50-d8_512x512_20k_voc12aug.py
|
|
|
|
|
|
|
|
- Name: gcnet_r101-d8_512x512_20k_voc12aug
|
|
In Collection: GCNet
|
|
Metadata:
|
|
inference time (fps): 14.80
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Pascal VOC 2012 + Aug
|
|
Metrics:
|
|
mIoU: 77.41
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/gcnet/gcnet_r101-d8_512x512_20k_voc12aug/gcnet_r101-d8_512x512_20k_voc12aug_20200617_165713-6c720aa9.pth
|
|
Config: configs/gcnet/gcnet_r101-d8_512x512_20k_voc12aug.py
|
|
|
|
|
|
|
|
- Name: gcnet_r50-d8_512x512_40k_voc12aug
|
|
In Collection: GCNet
|
|
Metadata:
|
|
inference time (fps): 23.35
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Pascal VOC 2012 + Aug
|
|
Metrics:
|
|
mIoU: 76.24
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/gcnet/gcnet_r50-d8_512x512_40k_voc12aug/gcnet_r50-d8_512x512_40k_voc12aug_20200613_195105-9797336d.pth
|
|
Config: configs/gcnet/gcnet_r50-d8_512x512_40k_voc12aug.py
|
|
|
|
|
|
|
|
- Name: gcnet_r101-d8_512x512_40k_voc12aug
|
|
In Collection: GCNet
|
|
Metadata:
|
|
inference time (fps): 14.80
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Pascal VOC 2012 + Aug
|
|
Metrics:
|
|
mIoU: 77.84
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/gcnet/gcnet_r101-d8_512x512_40k_voc12aug/gcnet_r101-d8_512x512_40k_voc12aug_20200613_185806-1e38208d.pth
|
|
Config: configs/gcnet/gcnet_r101-d8_512x512_40k_voc12aug.py
|