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issue 100 - if detected face has 0 in some dimension

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Şefik Serangil 2020-09-27 09:11:05 +03:00
parent f04cfbf689
commit e6da083983
1 changed files with 12 additions and 5 deletions
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17
deepface/commons/functions.py
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@ -450,14 +450,21 @@ def preprocess_face(img, target_size=(224, 224), grayscale = False, enforce_dete
#img might be path, base64 or numpy array. Convert it to numpy whatever it is. #img might be path, base64 or numpy array. Convert it to numpy whatever it is.
img = load_image(img) img = load_image(img)
base_img = img.copy()
img = detect_face(img = img, detector_backend = detector_backend, grayscale = grayscale, enforce_detection = enforce_detection)
#-------------------------- #--------------------------
#we will align base image instead of detected face not have black pixels if img.shape[0] > 0 and img.shape[1] > 0:
img = align_face(img = img, detector_backend = detector_backend)
img = detect_face(img = img, detector_backend = detector_backend, grayscale = grayscale, enforce_detection = enforce_detection) else:
img = align_face(img = img, detector_backend = detector_backend)
if enforce_detection == True:
raise ValueError("Detected face shape is ", img.shape,". Consider to set enforce_detection argument to False.")
else: #restore base image
img = base_img.copy()
#-------------------------- #--------------------------
#post-processing #post-processing