Py之face_alignment:face_alignment库的简介、安装、使用方法之详细攻略
目录
使用世界上最精确的面部定位网络,从Python中检测面部地标,该网络能够检测二维和三维坐标中的点。它使用了FAN最先进的基于深度学习的面部对齐方法。
Github地址:https://github.com/1adrianb/face-alignment
- import face_alignment
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- cuda for CUDA
- fa = face_alignment.FaceAlignment(face_alignment.LandmarksType._2D, device='cpu')
默认情况下,该包将使用SFD面部检测器。但是,用户也可以选择使用dlib或预先存在的地面真实边界框。
- import face_alignment
-
- sfd for SFD, dlib for Dlib and folder for existing bounding boxes.
- fa = face_alignment.FaceAlignment(face_alignment.LandmarksType._2D, face_detector='sfd')
- import face_alignment
- from skimage import io
-
- fa = face_alignment.FaceAlignment(face_alignment.LandmarksType._2D, flip_input=False)
-
- preds = fa.get_landmarks_from_directory('../test/assets/')
pip install face-alignment
- import face_alignment
- from skimage import io
-
- fa = face_alignment.FaceAlignment(face_alignment.LandmarksType._2D, flip_input=False)
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- input = io.imread('../test/assets/aflw-test.jpg')
- preds = fa.get_landmarks(input)
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- import face_alignment
- from skimage import io
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- fa = face_alignment.FaceAlignment(face_alignment.LandmarksType._3D, flip_input=False)
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- input = io.imread('../test/assets/aflw-test.jpg')
- preds = fa.get_landmarks(input)
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