| # 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) |