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# from deepface import DeepFace
# import os
# models = [
# "VGG-Face",
# "Facenet",
# "Facenet512",
# "OpenFace",
# "DeepFace",
# "DeepID",
# "ArcFace",
# "Dlib",
# "SFace",
# ]
# metrics = ["cosine", "euclidean", "euclidean_l2"]
# backends = [
# 'opencv',
# 'ssd',
# 'dlib',
# 'mtcnn',
# 'retinaface',
# 'mediapipe',
# 'yolov8',
# 'yunet',
# 'fastmtcnn',
# ]
# # df = DeepFace.find(img_path='F:/projects/python/mafqoud/dataset/missing_people/m0.jpg'
# # , db_path='F:/projects/python/mafqoud/dataset/founded_people'
# # , enforce_detection = True
# # , model_name = models[2]
# # , distance_metric = metrics[2]
# # , detector_backend = backends[3])
# DeepFace.stream(db_path = "F:/deepface")
# base_dir = os.path.abspath(os.path.dirname(__file__))
# # base_dir = "f:\\"
# founded_dir = os.path.join(base_dir, 'mafqoud', 'images', 'founded_people')
# def get_main_directory():
# path = os.path.abspath(__file__)
# drive, _ = os.path.splitdrive(path)
# if not drive.endswith(os.path.sep):
# drive += os.path.sep
# return drive
# base_dir = get_main_directory()
# missing_dir = os.path.join(base_dir, 'mafqoud', 'images', 'missing_people')
# print(missing_dir)
# print(base_dir)
# print(missing_dir)
# print(founded_dir) |