Occlusion-aware face segmentation
A model for occlusion-aware face segmentation.
This model was created following the procedures in mmsegmentation's PR [Feature] Support Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets #2194.
For more information, see:
- https://github.com/open-mmlab/mmsegmentation/pull/2194/files
- https://github.com/kennyvoo/face-occlusion-generation
How to use
Use with mmsegmentation.
Example:
from mmseg.apis import inference_model, init_model, show_result_pyplot
import mmcv
config_file = 'deeplabv3plus_r101_512x512_face-occlusion.py'
checkpoint_file = 'deeplabv3plus_r101_512x512_face-occlusion-93ec6695.pth'
model = init_model(config_file, checkpoint_file, device='cuda:0')
img = 'face-image.png'
result = inference_model(model, img)
show_result_pyplot(model, img, result, show=True, out_file='result.jpg', opacity=0.5)
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