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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 [] | |