mirror of
https://github.com/open-mmlab/mmsegmentation.git
synced 2025-06-03 07:49:44 +08:00
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
175 lines
5.7 KiB
YAML
175 lines
5.7 KiB
YAML
Collections:
|
|
- Name: APCNet
|
|
Metadata:
|
|
Training Data:
|
|
- Cityscapes
|
|
- ADE20K
|
|
|
|
Models:
|
|
|
|
- Name: apcnet_r50-d8_512x1024_40k_cityscapes
|
|
In Collection: APCNet
|
|
Metadata:
|
|
inference time (fps): 3.57
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 78.02
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/apcnet/apcnet_r50-d8_512x1024_40k_cityscapes/apcnet_r50-d8_512x1024_40k_cityscapes_20201214_115717-5e88fa33.pth
|
|
Config: configs/apcnet/apcnet_r50-d8_512x1024_40k_cityscapes.py
|
|
|
|
|
|
|
|
- Name: apcnet_r101-d8_512x1024_40k_cityscapes
|
|
In Collection: APCNet
|
|
Metadata:
|
|
inference time (fps): 2.15
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 79.08
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/apcnet/apcnet_r101-d8_512x1024_40k_cityscapes/apcnet_r101-d8_512x1024_40k_cityscapes_20201214_115716-abc9d111.pth
|
|
Config: configs/apcnet/apcnet_r101-d8_512x1024_40k_cityscapes.py
|
|
|
|
|
|
|
|
- Name: apcnet_r50-d8_769x769_40k_cityscapes
|
|
In Collection: APCNet
|
|
Metadata:
|
|
inference time (fps): 1.52
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 77.89
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/apcnet/apcnet_r50-d8_769x769_40k_cityscapes/apcnet_r50-d8_769x769_40k_cityscapes_20201214_115717-2a2628d7.pth
|
|
Config: configs/apcnet/apcnet_r50-d8_769x769_40k_cityscapes.py
|
|
|
|
|
|
|
|
- Name: apcnet_r101-d8_769x769_40k_cityscapes
|
|
In Collection: APCNet
|
|
Metadata:
|
|
inference time (fps): 1.03
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 77.96
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/apcnet/apcnet_r101-d8_769x769_40k_cityscapes/apcnet_r101-d8_769x769_40k_cityscapes_20201214_115718-b650de90.pth
|
|
Config: configs/apcnet/apcnet_r101-d8_769x769_40k_cityscapes.py
|
|
|
|
|
|
|
|
- Name: apcnet_r50-d8_512x1024_80k_cityscapes
|
|
In Collection: APCNet
|
|
Metadata:
|
|
inference time (fps): 3.57
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 78.96
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/apcnet/apcnet_r50-d8_512x1024_80k_cityscapes/apcnet_r50-d8_512x1024_80k_cityscapes_20201214_115716-987f51e3.pth
|
|
Config: configs/apcnet/apcnet_r50-d8_512x1024_80k_cityscapes.py
|
|
|
|
|
|
|
|
- Name: apcnet_r101-d8_512x1024_80k_cityscapes
|
|
In Collection: APCNet
|
|
Metadata:
|
|
inference time (fps): 2.15
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 79.64
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/apcnet/apcnet_r101-d8_512x1024_80k_cityscapes/apcnet_r101-d8_512x1024_80k_cityscapes_20201214_115705-b1ff208a.pth
|
|
Config: configs/apcnet/apcnet_r101-d8_512x1024_80k_cityscapes.py
|
|
|
|
|
|
|
|
- Name: apcnet_r50-d8_769x769_80k_cityscapes
|
|
In Collection: APCNet
|
|
Metadata:
|
|
inference time (fps): 1.52
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 78.79
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/apcnet/apcnet_r50-d8_769x769_80k_cityscapes/apcnet_r50-d8_769x769_80k_cityscapes_20201214_115718-7ea9fa12.pth
|
|
Config: configs/apcnet/apcnet_r50-d8_769x769_80k_cityscapes.py
|
|
|
|
|
|
|
|
- Name: apcnet_r101-d8_769x769_80k_cityscapes
|
|
In Collection: APCNet
|
|
Metadata:
|
|
inference time (fps): 1.03
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 78.45
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/apcnet/apcnet_r101-d8_769x769_80k_cityscapes/apcnet_r101-d8_769x769_80k_cityscapes_20201214_115716-a7fbc2ab.pth
|
|
Config: configs/apcnet/apcnet_r101-d8_769x769_80k_cityscapes.py
|
|
|
|
|
|
|
|
- Name: apcnet_r50-d8_512x512_80k_ade20k
|
|
In Collection: APCNet
|
|
Metadata:
|
|
inference time (fps): 19.61
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: ADE20K
|
|
Metrics:
|
|
mIoU: 42.20
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/apcnet/apcnet_r50-d8_512x512_80k_ade20k/apcnet_r50-d8_512x512_80k_ade20k_20201214_115705-a8626293.pth
|
|
Config: configs/apcnet/apcnet_r50-d8_512x512_80k_ade20k.py
|
|
|
|
|
|
|
|
- Name: apcnet_r101-d8_512x512_80k_ade20k
|
|
In Collection: APCNet
|
|
Metadata:
|
|
inference time (fps): 13.10
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: ADE20K
|
|
Metrics:
|
|
mIoU: 45.54
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/apcnet/apcnet_r101-d8_512x512_80k_ade20k/apcnet_r101-d8_512x512_80k_ade20k_20201214_115704-c656c3fb.pth
|
|
Config: configs/apcnet/apcnet_r101-d8_512x512_80k_ade20k.py
|
|
|
|
|
|
|
|
- Name: apcnet_r50-d8_512x512_160k_ade20k
|
|
In Collection: APCNet
|
|
Metadata:
|
|
inference time (fps): 19.61
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: ADE20K
|
|
Metrics:
|
|
mIoU: 43.40
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/apcnet/apcnet_r50-d8_512x512_160k_ade20k/apcnet_r50-d8_512x512_160k_ade20k_20201214_115706-25fb92c2.pth
|
|
Config: configs/apcnet/apcnet_r50-d8_512x512_160k_ade20k.py
|
|
|
|
|
|
|
|
- Name: apcnet_r101-d8_512x512_160k_ade20k
|
|
In Collection: APCNet
|
|
Metadata:
|
|
inference time (fps): 13.10
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: ADE20K
|
|
Metrics:
|
|
mIoU: 45.41
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/apcnet/apcnet_r101-d8_512x512_160k_ade20k/apcnet_r101-d8_512x512_160k_ade20k_20201214_115705-73f9a8d7.pth
|
|
Config: configs/apcnet/apcnet_r101-d8_512x512_160k_ade20k.py
|