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MeshCNN: input features
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# From models/layers/mesh_conv.py in https://github.com/ranahanocka/MeshCNN | |
def dihedral_angle(mesh, edge_points): | |
""" | |
Angle between two faces connected to edge. | |
""" | |
normals_a = get_normals(mesh, edge_points, 0) | |
normals_b = get_normals(mesh, edge_points, 3) | |
dot = np.sum(normals_a * normals_b, axis=1).clip(-1, 1) | |
angles = np.expand_dims(np.pi - np.arccos(dot), axis=0) | |
return angles | |
def symmetric_opposite_angles(mesh, edge_points): | |
""" | |
Angles of opposite corners across edge. | |
""" | |
angles_a = get_opposite_angles(mesh, edge_points, 0) | |
angles_b = get_opposite_angles(mesh, edge_points, 3) | |
angles = np.concatenate((np.expand_dims(angles_a, 0), np.expand_dims(angles_b, 0)), axis=0) | |
angles = np.sort(angles, axis=0) | |
return angles | |
def symmetric_ratios(mesh, edge_points): | |
""" | |
Height/base ratios of the triangles adjacent to edge. | |
""" | |
ratios_a = get_ratios(mesh, edge_points, 0) | |
ratios_b = get_ratios(mesh, edge_points, 3) | |
ratios = np.concatenate((np.expand_dims(ratios_a, 0), np.expand_dims(ratios_b, 0)), axis=0) | |
return np.sort(ratios, axis=0) |
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