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draw_face_center(self, context,
target_object=self.hover_object,
face_index=self.target_face_index,
allowed_indices=self.target_allowed_indices[self.hover_object],
snap_type=self.snapdata_target.snap_type,
ignore_modifiers=self.settings.ignore_modifiers or (
is_selection and not self.object_mode),
color=point_color[False]
)
if self.closest_target_id in self.snapdata_target.origins_map:
obj_name = self.snapdata_target.origins_map[self.closest_target_id]
if obj_name not in self.target_bounds:
obj = bpy.data.objects[obj_name]
bound_points = [v[:] for v in obj.bound_box]
region3d = context.space_data.region_3d
camera_position = region3d.view_matrix.inverted().translation
camera_vector = region3d.view_rotation @ Vector((0.0, 0.0, -1.0))
is_ortho = region3d.view_perspective == 'ORTHO'
points = [obj.matrix_world @ Vector(point) for point in bound_points]
self.target_bounds[obj_name] = [add_camera_offset(point,
camera_position,
camera_vector,
is_ortho) for point in points]
draw_bounds(self.target_bounds[obj_name], color=(1, 1, 0, 0.8), line_width=1, depth_test=True)
return
if self.settings.highlight_target_vertex_edges:
draw_edge_highlight(context,
target_object=self.target_object,
target_id=self.closest_target_id,
snapdata=self.snapdata_target,
highlight_data=self.target_highlight_data,
npdata=self.target_npdata,
ignore_modifiers=self.settings.ignore_modifiers or (
self.target_object in self.selection_objects and not self.object_mode),
width=self.settings.edge_highlight_width,
color=self.settings.edge_highlight_color_target,
opacity=self.settings.edge_highlight_opacity)
def add_camera_offset(co, camera_position, camera_vector, is_ortho):
"""
Offset a point towards the camera position to avoid z-fighting.
"""
cam_point_vector = camera_position - co
if is_ortho:
return co - camera_vector * np.sqrt(cam_point_vector.dot(cam_point_vector)) * 0.01
else:
return co + cam_point_vector * 0.01
def draw_edge_highlight(context,
target_object,
target_id,
snapdata,
highlight_data,
npdata,
ignore_modifiers,
width=2,
color=(1, 1, 0),
opacity=1
):
"""
Store necessary information and draw edge highlight of tht target point/edge/face.
"""
if target_id >= 0:
if len(snapdata.indices) <= target_id:
return
vert_index = snapdata.indices[target_id]
if vert_index < 0:
return
vert_object = bpy.data.objects[target_object]
if vert_object.type != "MESH":
return
if target_object not in highlight_data:
highlight_data[target_object] = {}
if vert_index not in highlight_data[target_object]:
matrix = vert_object.matrix_world
if ignore_modifiers:
data = vert_object.data
else:
data = vert_object.evaluated_get(context.evaluated_depsgraph_get()).data
if snapdata.snap_type == 'POINTS':
if target_object not in npdata:
npdata[target_object] = {}
if "edge_verts" not in npdata[target_object]:
arr = np.zeros(len(data.edges) * 2, dtype=int)
data.edges.foreach_get('vertices', arr)
arr.shape = (len(data.edges), 2)
npdata[target_object]["edge_verts"] = arr
filter_left = npdata[target_object]["edge_verts"][
npdata[target_object]["edge_verts"][:, 0] == vert_index]
filter_right = npdata[target_object]["edge_verts"][
npdata[target_object]["edge_verts"][:, 1] == vert_index]
highlight_data[target_object][vert_index] = {}
highlight_data[target_object][vert_index]["edges"] = []
for match in filter_left: