Rename to detect_face_landmark()
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@@ -7,7 +7,7 @@ from facefusion.common_helper import get_first
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from facefusion.face_classifier import classify_face
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from facefusion.face_detector import detect_faces, detect_rotated_faces
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from facefusion.face_helper import apply_nms, convert_to_face_landmark_5, estimate_face_angle, get_nms_threshold
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from facefusion.face_landmarker import detect_face_landmarks, estimate_face_landmark_68_5
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from facefusion.face_landmarker import detect_face_landmark, estimate_face_landmark_68_5
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from facefusion.face_recognizer import calc_embedding
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from facefusion.face_store import get_static_faces, set_static_faces
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from facefusion.types import BoundingBox, Face, FaceLandmark5, FaceLandmarkSet, FaceScoreSet, Score, VisionFrame
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@@ -29,7 +29,7 @@ def create_faces(vision_frame : VisionFrame, bounding_boxes : List[BoundingBox],
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face_angle = estimate_face_angle(face_landmark_68_5)
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if state_manager.get_item('face_landmarker_score') > 0:
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face_landmark_68, face_landmark_score_68 = detect_face_landmarks(vision_frame, bounding_box, face_angle)
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face_landmark_68, face_landmark_score_68 = detect_face_landmark(vision_frame, bounding_box, face_angle)
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if face_landmark_score_68 > state_manager.get_item('face_landmarker_score'):
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face_landmark_5_68 = convert_to_face_landmark_5(face_landmark_68)
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@@ -115,7 +115,7 @@ def pre_check() -> bool:
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return conditional_download_hashes(model_hash_set) and conditional_download_sources(model_source_set)
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def detect_face_landmarks(vision_frame : VisionFrame, bounding_box : BoundingBox, face_angle : Angle) -> Tuple[FaceLandmark68, Score]:
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def detect_face_landmark(vision_frame : VisionFrame, bounding_box : BoundingBox, face_angle : Angle) -> Tuple[FaceLandmark68, Score]:
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face_landmark_2dfan4 = None
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face_landmark_peppa_wutz = None
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face_landmark_score_2dfan4 = 0.0
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