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tahirsiddique/face_verification
face_verification is a machine learning model from tahirsiddique. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Updated Oct 7, 2023
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From the Hugging Face model README
Model Name Face Verification Model
This model performs face verification by comparing two images and determining if the faces match.
The model uses the VGG-Face architecture for facial recognition.
The model expects URLs of two images for face verification.
The output indicates whether the faces in the given images match or not.
from face_verification_script import verify_faces
# Example usage
result = verify_faces(img1_url='url_to_image1', img2_url='url_to_image2')
print(result)
deepface==0.0.68
Pillow==8.3.2
This model is released under the MIT License.
Limitations and Known Issues The model may have limitations in certain lighting conditions.