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Divers/tutoriel41/prepare_embedding.py
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32
Divers/tutoriel41/prepare_embedding.py
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import face_recognition
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import numpy as np
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import os
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import glob
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dir_identites="Identites_1photo/"
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face_encodings=[]
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face_names=[]
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id=1
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for dir_identite in os.listdir(dir_identites):
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print("ID", id)
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id+=1
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fichiers=[]
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for ext in ["*.jpg", "*.jpeg", "*.png"]:
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fichiers.extend(glob.glob(dir_identites+"/"+dir_identite+"/"+ext))
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if len(fichiers)==0:
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print("Repertoire vide", dir_identite)
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continue
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for fichier in fichiers:
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image=face_recognition.load_image_file(fichier)
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embedding=face_recognition.face_encodings(image)[0]
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face_encodings.append(embedding)
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face_names.append(dir_identite.replace('_', ' '))
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np.save("face_encodings", np.array(face_encodings))
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np.save("face_names", np.array(face_names))
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