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mtcnn is a must
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@ -18,6 +18,7 @@ import tensorflow as tf
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import keras
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import bz2
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from deepface.commons import distance
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from mtcnn import MTCNN #0.1.0
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def loadBase64Img(uri):
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encoded_data = uri.split(',')[1]
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@ -275,7 +276,7 @@ def detect_face(img, detector_backend = 'opencv', grayscale = False, enforce_det
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raise ValueError("Face could not be detected. Please confirm that the picture is a face photo or consider to set enforce_detection param to False.")
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elif detector_backend == 'mtcnn':
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from mtcnn import MTCNN #0.1.0
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mtcnn_detector = MTCNN()
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detections = mtcnn_detector.detect_faces(img)
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@ -431,7 +432,6 @@ def align_face(img, detector_backend = 'opencv'):
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elif detector_backend == 'mtcnn':
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from mtcnn import MTCNN #0.1.0
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mtcnn_detector = MTCNN()
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detections = mtcnn_detector.detect_faces(img)
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@ -6,4 +6,5 @@ Pillow>=5.2.0
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opencv-python>=3.4.4
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tensorflow>=1.9.0
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keras>=2.2.0
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Flask>=1.1.2
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Flask>=1.1.2
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mtcnn>=0.1.0
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