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verify function could be passed with numpy array ?

See original GitHub issue

I want to use DeepFace.verify() on a numpy array representing an image `img1 = img1[:,:,::-1]; img2 = img2[:,:,::-1]

obj = DeepFace.verify(img1, img2 , model_name = ‘Dlib’, distance_metric = ‘euclidean’)`

Issue Analytics

State:
Created 3 years ago
Comments:5 (3 by maintainers)

Top GitHub Comments

1reaction

serengilcommented, Dec 22, 2020

I also share the my testing code

import cv2

img1 = cv2.imread("deepface/tests/dataset/img1.jpg")
img2 = cv2.imread("deepface/tests/dataset/img2.jpg")

print(type(img1))
print(type(img2))

from deepface import DeepFace
obj = DeepFace.verify(img1, img2)
print(obj)

This returns the following message

(tensorflow) C:\Users\IS96273\Desktop>python dummy.py <class ‘numpy.ndarray’> <class ‘numpy.ndarray’> Using TensorFlow backend. {‘verified’: True, ‘model’: ‘VGG-Face’, ‘similarity_metric’: ‘cosine’, ‘distance’: 0.2709779739379883, ‘max_threshold_to_verify’: 0.4}

I also add a control for numpy inputs in the unit tests. Thank you very much.

0reactions

thisKKcommented, Dec 22, 2020

Thank you very much for your help