crop_face #1
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UAM-Andre.jpg
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UAM-Andre.jpg
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haarcascades/haarcascade_frontalface_alt.xml
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haarcascades/haarcascade_frontalface_alt.xml
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haarcascades/haarcascade_frontalface_default.xml
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haarcascades/haarcascade_frontalface_default.xml
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main.py
11
main.py
@ -14,8 +14,13 @@ def load_source(filename: str) -> np.ndarray:
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def find_and_crop_face(data: np.ndarray) -> np.ndarray:
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# TODO
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return data
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data_gray = cv2.cvtColor(data, cv2.COLOR_BGR2GRAY)
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face_cascade = cv2.CascadeClassifier('haarcascades/haarcascade_frontalface_default.xml')
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face = face_cascade.detectMultiScale(data_gray, 1.3, 4)
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face = max(face, key=len)
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s444409 marked this conversation as resolved
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x, y, w, h = face
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face = data[y:y + h, x:x + w]
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return face
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def compare_with_anime_characters(data: np.ndarray) -> int:
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@ -23,7 +28,7 @@ def compare_with_anime_characters(data: np.ndarray) -> int:
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return 1
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s444409 marked this conversation as resolved
Outdated
s444409
commented
Not all heroes wear capes Not all heroes wear capes
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def transfer_to_anime(ima: np.ndarray):
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def transfer_to_anime(img: np.ndarray):
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algo = Cartoonizer(dataroot='damo/cv_unet_person-image-cartoon_compound-models')
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return algo.cartoonize(img)
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x, y, w, h = face