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@ -5,7 +5,7 @@ import cv2
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import numpy
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from cv2.typing import Size
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from facefusion.typing import Anchors, Angle, BoundingBox, Direction, Distance, FaceDetectorModel, FaceLandmark5, FaceLandmark68, Mask, Matrix, Points, PolygonTemplate, PolygonTemplateSet, Scale, Score, Translation, VisionFrame, WarpTemplate, WarpTemplateSet
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from facefusion.typing import Anchors, Angle, BoundingBox, Direction, Distance, FaceDetectorModel, FaceLandmark5, FaceLandmark68, Mask, Matrix, Points, PointsTemplate, PointsTemplateSet, Scale, Score, Translation, VisionFrame, WarpTemplate, WarpTemplateSet
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WARP_TEMPLATES : WarpTemplateSet =\
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{
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@ -33,6 +33,14 @@ WARP_TEMPLATES : WarpTemplateSet =\
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[ 0.38710391, 0.72160547 ],
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[ 0.61507734, 0.72034453 ]
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]),
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'deep_face_live': numpy.array(
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[
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[ 0.22549182, 0.21599032 ],
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[ 0.75476142, 0.21599032 ],
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[ 0.49012712, 0.51562511 ],
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[ 0.25414925, 0.78023333 ],
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[ 0.72610437, 0.78023333 ]
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]),
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'ffhq_512': numpy.array(
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[
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[ 0.37691676, 0.46864664 ],
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@ -56,17 +64,9 @@ WARP_TEMPLATES : WarpTemplateSet =\
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[ 0.50123859, 0.61331904 ],
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[ 0.43364461, 0.68337652 ],
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[ 0.57015325, 0.68306005 ]
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]),
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'deep_face_live': numpy.array(
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[
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[ 0.22549182, 0.21599032 ],
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[ 0.75476142, 0.21599032 ],
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[ 0.49012712, 0.51562511 ],
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[ 0.25414925, 0.78023333 ],
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[ 0.72610437, 0.78023333 ]
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])
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}
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POLYGON_TEMPLATES : PolygonTemplateSet =\
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POINTS_TEMPLATES : PointsTemplateSet =\
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{
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'square': numpy.array(
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[
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@ -74,19 +74,19 @@ POLYGON_TEMPLATES : PolygonTemplateSet =\
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[ 1, 0 ],
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[ 1, 1 ],
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[ 0, 1 ]
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]),
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]).astype(numpy.float32),
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'triangle_orthogonal': numpy.array(
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[
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[ 0, 0 ],
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[ 1, 0 ],
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[ 0, 1 ]
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]),
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]).astype(numpy.float32),
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'triangle_skew': numpy.array(
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[
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[ 0, 0 ],
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[ 1, 0 ],
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[ 1, 1 ]
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])
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]).astype(numpy.float32)
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}
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@ -96,8 +96,8 @@ def estimate_matrix_by_face_landmark_5(face_landmark_5 : FaceLandmark5, warp_tem
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return affine_matrix
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def estimate_matrix_by_points(source_points : Points, polygon_template : PolygonTemplate, crop_size : Size) -> Matrix:
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target_points = POLYGON_TEMPLATES.get(polygon_template) * crop_size
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def estimate_matrix_by_points(source_points : Points, polygon_template : PointsTemplate, crop_size : Size) -> Matrix:
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target_points = POINTS_TEMPLATES.get(polygon_template) * crop_size
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affine_matrix = cv2.getAffineTransform(source_points, target_points.astype(numpy.float32))
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return affine_matrix
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@ -108,13 +108,13 @@ def warp_face_by_face_landmark_5(temp_vision_frame : VisionFrame, face_landmark_
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return crop_vision_frame, affine_matrix
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def warp_face_for_deepfacelive(temp_vision_frame : VisionFrame, face_landmark_5 : FaceLandmark5, crop_size : Size, coverage : float, x_shift : float, y_shift : float) -> Tuple[VisionFrame, Matrix]:
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def warp_face_for_deepfacelive(temp_vision_frame : VisionFrame, face_landmark_5 : FaceLandmark5, crop_size : Size, shift : Tuple[float, float], coverage : float) -> Tuple[VisionFrame, Matrix]:
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affine_matrix = estimate_matrix_by_face_landmark_5(face_landmark_5, 'deep_face_live', (1, 1))
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square_points = POLYGON_TEMPLATES.get('square').astype(numpy.float32)
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square_points = POINTS_TEMPLATES.get('square')
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square_points = transform_points(square_points, cv2.invertAffineTransform(affine_matrix))
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center_point = square_points.mean(axis = 0)
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center_point += x_shift * numpy.subtract(square_points[1], square_points[0])
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center_point += y_shift * numpy.subtract(square_points[3], square_points[0])
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center_point += shift[0] * numpy.subtract(square_points[1], square_points[0])
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center_point += shift[1] * numpy.subtract(square_points[3], square_points[0])
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scale = numpy.linalg.norm(center_point - square_points[0]) * coverage
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top_bottom_direction = calc_points_direction(square_points[0], square_points[2]) * scale
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bottom_top_direction = calc_points_direction(square_points[3], square_points[1]) * scale
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@ -42,10 +42,9 @@ MODEL_SET : ModelSet =\
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'path': resolve_relative_path('../.assets/models/Jackie_Chan.dfm')
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}
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},
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'x_shift': 0.0,
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'y_shift': 0.0,
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'coverage': 2.2,
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'size': (224, 224)
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'size': (224, 224),
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'shift': (0.0, 0.0),
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'coverage': 2.2
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}
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}
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@ -113,10 +112,9 @@ def post_process() -> None:
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def swap_face(target_face : Face, temp_vision_frame : VisionFrame) -> VisionFrame:
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model_size = get_model_options().get('size')
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model_shift = get_model_options().get('shift')
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model_coverage = get_model_options().get('coverage')
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model_x_shift = get_model_options().get('x_shift')
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model_y_shift = get_model_options().get('y_shift')
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crop_vision_frame, affine_matrix = warp_face_for_deepfacelive(temp_vision_frame, target_face.landmark_set.get('5/68'), model_size, model_coverage, model_x_shift, model_y_shift)
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crop_vision_frame, affine_matrix = warp_face_for_deepfacelive(temp_vision_frame, target_face.landmark_set.get('5/68'), model_size, model_shift, model_coverage)
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crop_vision_frame_raw = crop_vision_frame.copy()
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box_mask = create_static_box_mask(crop_vision_frame.shape[:2][::-1], state_manager.get_item('face_mask_blur'), state_manager.get_item('face_mask_padding'))
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crop_masks =\
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@ -170,10 +168,12 @@ def normalize_crop_frame(crop_vision_frame : VisionFrame) -> VisionFrame:
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def prepare_crop_mask(crop_source_mask : Mask, crop_target_mask : Mask) -> Mask:
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model_size = get_model_options().get('size')
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blur_size = 6.25
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kernel_size = 3
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crop_mask = numpy.minimum.reduce([ crop_source_mask, crop_target_mask ])
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crop_mask = crop_mask.reshape(model_size).clip(0, 1)
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crop_mask = cv2.erode(crop_mask, cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (3, 3)), iterations = 2)
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crop_mask = cv2.GaussianBlur(crop_mask, (0, 0), 6.25)
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crop_mask = cv2.erode(crop_mask, cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (kernel_size, kernel_size)), iterations = 2)
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crop_mask = cv2.GaussianBlur(crop_mask, (0, 0), blur_size)
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return crop_mask
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@ -86,10 +86,10 @@ ProcessStep = Callable[[str, int, Args], bool]
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Content = Dict[str, Any]
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WarpTemplate = Literal['arcface_112_v1', 'arcface_112_v2', 'arcface_128_v2', 'ffhq_512', 'mtcnn_512', 'styleganex_384', 'deep_face_live']
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WarpTemplate = Literal['arcface_112_v1', 'arcface_112_v2', 'arcface_128_v2', 'deep_face_live', 'ffhq_512', 'mtcnn_512', 'styleganex_384']
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WarpTemplateSet = Dict[WarpTemplate, NDArray[Any]]
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PolygonTemplate = Literal['square', 'triangle_orthogonal', 'triangle_skew']
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PolygonTemplateSet = Dict[PolygonTemplate, NDArray[Any]]
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PointsTemplate = Literal['square', 'triangle_orthogonal', 'triangle_skew']
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PointsTemplateSet = Dict[PointsTemplate, NDArray[Any]]
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ProcessMode = Literal['output', 'preview', 'stream']
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ErrorCode = Literal[0, 1, 2, 3, 4]
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