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Change yolov8n
to yolov8
.
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@ -208,7 +208,7 @@ backends = [
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'mtcnn',
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'retinaface',
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'mediapipe',
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'yolov8n',
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'yolov8',
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]
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#face verification
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@ -116,7 +116,7 @@ def verify(
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This might be convenient for low resolution images.
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detector_backend (string): set face detector backend to opencv, retinaface, mtcnn, ssd,
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dlib, mediapipe or yolov8n.
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dlib, mediapipe or yolov8.
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align (boolean): alignment according to the eye positions.
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@ -251,7 +251,7 @@ def analyze(
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resolution images.
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detector_backend (string): set face detector backend to opencv, retinaface, mtcnn, ssd,
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dlib, mediapipe or yolov8n.
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dlib, mediapipe or yolov8.
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align (boolean): alignment according to the eye positions.
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@ -429,7 +429,7 @@ def find(
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resolution images.
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detector_backend (string): set face detector backend to opencv, retinaface, mtcnn, ssd,
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dlib, mediapipe or yolov8n.
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dlib, mediapipe or yolov8.
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align (boolean): alignment according to the eye positions.
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@ -641,7 +641,7 @@ def represent(
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This might be convenient for low resolution images.
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detector_backend (string): set face detector backend to opencv, retinaface, mtcnn, ssd,
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dlib, mediapipe or yolov8n.
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dlib, mediapipe or yolov8.
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align (boolean): alignment according to the eye positions.
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@ -726,7 +726,7 @@ def stream(
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model_name (string): VGG-Face, Facenet, Facenet512, OpenFace, DeepFace, DeepID, Dlib,
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ArcFace, SFace
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detector_backend (string): opencv, retinaface, mtcnn, ssd, dlib, mediapipe or yolov8n.
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detector_backend (string): opencv, retinaface, mtcnn, ssd, dlib, mediapipe or yolov8.
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distance_metric (string): cosine, euclidean, euclidean_l2
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@ -23,7 +23,7 @@ def build_model(detector_backend):
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"mtcnn": MtcnnWrapper.build_model,
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"retinaface": RetinaFaceWrapper.build_model,
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"mediapipe": MediapipeWrapper.build_model,
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"yolov8n": YoloWrapper.build_model,
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"yolov8": YoloWrapper.build_model,
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}
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if not "face_detector_obj" in globals():
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@ -66,7 +66,7 @@ def detect_faces(face_detector, detector_backend, img, align=True):
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"mtcnn": MtcnnWrapper.detect_face,
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"retinaface": RetinaFaceWrapper.detect_face,
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"mediapipe": MediapipeWrapper.detect_face,
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"yolov8n": YoloWrapper.detect_face,
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"yolov8": YoloWrapper.detect_face,
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}
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detect_face_fn = backends.get(detector_backend)
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