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pseudo-batching dlib

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galthran-wq 2025-02-18 09:44:59 +00:00
parent 1c825e8803
commit 1d358aa15a
1 changed files with 19 additions and 2 deletions
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21
deepface/models/face_detection/Dlib.py
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@ -1,5 +1,5 @@
# built-in dependencies
from typing import List
from typing import List, Union
# 3rd party dependencies
import numpy as np
@ -47,10 +47,27 @@ class DlibClient(Detector):
detector["sp"] = sp
return detector
def detect_faces(self, img: np.ndarray) -> List[FacialAreaRegion]:
def detect_faces(self, img: Union[np.ndarray, List[np.ndarray]]) -> Union[List[FacialAreaRegion], List[List[FacialAreaRegion]]]:
"""
Detect and align face with dlib
Args:
img (Union[np.ndarray, List[np.ndarray]]): pre-loaded image as numpy array or a list of those
Returns:
results (Union[List[FacialAreaRegion], List[List[FacialAreaRegion]]]): A list or a list of lists of FacialAreaRegion objects
"""
if isinstance(img, np.ndarray):
return self._detect_faces_in_single_image(img)
elif isinstance(img, list):
return [self._detect_faces_in_single_image(single_img) for single_img in img]
else:
raise ValueError("Input must be a numpy array or a list of numpy arrays.")
def _detect_faces_in_single_image(self, img: np.ndarray) -> List[FacialAreaRegion]:
"""
Helper function to detect faces in a single image.
Args:
img (np.ndarray): pre-loaded image as numpy array