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
34 lines
988 B
YAML
34 lines
988 B
YAML
Collections:
|
|
- Name: CGNet
|
|
Metadata:
|
|
Training Data:
|
|
- Cityscapes
|
|
|
|
Models:
|
|
|
|
- Name: cgnet_680x680_60k_cityscapes
|
|
In Collection: CGNet
|
|
Metadata:
|
|
inference time (fps): 30.51
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 65.63
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/cgnet/cgnet_680x680_60k_cityscapes/cgnet_680x680_60k_cityscapes_20201101_110253-4c0b2f2d.pth
|
|
Config: configs/cgnet/cgnet_680x680_60k_cityscapes.py
|
|
|
|
|
|
|
|
- Name: cgnet_512x1024_60k_cityscapes
|
|
In Collection: CGNet
|
|
Metadata:
|
|
inference time (fps): 31.14
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 68.27
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/cgnet/cgnet_512x1024_60k_cityscapes/cgnet_512x1024_60k_cityscapes_20201101_110254-124ea03b.pth
|
|
Config: configs/cgnet/cgnet_512x1024_60k_cityscapes.py
|