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Oxford VGGFace Implementation using Keras Functional Framework v2+

# Most Recent One (Suggested)
pip install git+https://github.com/rcmalli/keras-vggface.git
# Release Version
pip install keras_vggface

Library Versions

Example Usage

Available Models


from keras_vggface.vggface import VGGFace

# Based on VGG16 architecture -> old paper(2015)
vggface = VGGFace(model='vgg16') # or VGGFace() as default

# Based on RESNET50 architecture -> new paper(2017)
vggface = VGGFace(model='resnet50')

# Based on SENET50 architecture -> new paper(2017)
vggface = VGGFace(model='senet50')

Feature Extraction

Finetuning

Prediction

References

Licence

Projects / Blog Posts

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