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| from landmark_detection import device, BoundingBox | |
| from facenet_pytorch import MTCNN | |
| import numpy as np | |
| mtcnn = MTCNN(keep_all=True, device=device).eval() | |
| def detect_faces(img) -> list[BoundingBox]: | |
| boxes, probs = mtcnn.detect(img) | |
| return [ | |
| BoundingBox( | |
| x_min=int(box[0]), | |
| y_min=int(box[1]), | |
| x_max=int(box[2]), | |
| y_max=int(box[3]), | |
| ) | |
| for box in boxes | |
| ] if boxes is not None else [] | |