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clean code in preprocess

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Şefik Serangil 2020-09-06 11:56:09 +03:00
parent 7f6d9075d1
commit 01614eaeff
1 changed files with 2 additions and 12 deletions
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deepface/commons/functions.py
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@ -454,24 +454,14 @@ 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)
img_base = img.copy()
#face detection
img = detect_face(img = img, detector_backend = detector_backend, grayscale = grayscale, enforce_detection = enforce_detection)
#-------------------------- #--------------------------
#face alignment #we will align base image instead of detected face not have black pixels
#img = align_face(img = img, detector_backend = detector_backend)
img = align_face(img = img_base, detector_backend = detector_backend)
img = align_face(img = img, detector_backend = detector_backend)
img = detect_face(img = img, detector_backend = detector_backend, grayscale = grayscale, enforce_detection = False) img = detect_face(img = img, detector_backend = detector_backend, grayscale = grayscale, enforce_detection = False)
#note: if you apply align first and detect second, it might be problematic for pictures including more than one faces.
#we detected one face and align the base image based on the detected one.
#pros: aligned images have many black pixels if you align detected face
#cons: this requires to apply detection twice.
#-------------------------- #--------------------------
#post-processing #post-processing