def plot_mesh_nrosy(viewer, V, F, N, PD1, S, b):
# Clear the mesh
viewer.data.clear()
viewer.data.set_mesh(V, F)
# Expand the representative vectors in the full vector set and plot them as lines
avg = igl.avg_edge_length(V, F)
Y = igl.eigen.MatrixXd()
representative_to_nrosy(V, F, PD1, N, Y)
B = igl.eigen.MatrixXd()
igl.barycenter(V, F, B)
Be = igl.eigen.MatrixXd(B.rows() * N, 3)
for i in range(0, B.rows()):
for j in range(0, N):
Be.setRow(i * N + j, B.row(i))
viewer.data.add_edges(Be, Be + Y * (avg / 2), igl.eigen.MatrixXd([[0, 0, 1]]))
# Plot the singularities as colored dots (red for negative, blue for positive)
for i in range(0, S.size()):
if S[i] < -0.001:
viewer.data.add_points(V.row(i), igl.eigen.MatrixXd([[1, 0, 0]]))
elif S[i] > 0.001:
viewer.data.add_points(V.row(i), igl.eigen.MatrixXd([[0, 1, 0]]));
# Highlight in red the constrained faces
C = igl.eigen.MatrixXd.Constant(F.rows(), 3, 1)
for i in range(0, b.size()):
C.setRow(b[i], igl.eigen.MatrixXd([[1, 0, 0]]))
viewer.data.set_colors(C)
viewer.data().set_texture(texture_R, texture_B, texture_G)
viewer.core.align_camera_center(viewer.data().V, viewer.data().F)
return False
# Load a mesh in OFF format
igl.readOFF(TUTORIAL_SHARED_PATH + "3holes.off", V, F)
# Compute face barycenters
igl.barycenter(V, F, B)
# Compute scale for visualizing fields
global_scale = .5 * igl.avg_edge_length(V, F)
# Contrain one face
b = igl.eigen.MatrixXd([[0]]).castint()
bc = igl.eigen.MatrixXd([[1, 0, 0]])
# Create a smooth 4-RoSy field
S = igl.eigen.MatrixXd()
igl.comiso.nrosy(V, F, b, bc, igl.eigen.MatrixXi(), igl.eigen.MatrixXd(), igl.eigen.MatrixXd(), 4, 0.5, X1, S)
# Find the orthogonal vector
B1 = igl.eigen.MatrixXd()
B2 = igl.eigen.MatrixXd()
B3 = igl.eigen.MatrixXd()
viewer.data.set_texture(texture_R, texture_B, texture_G)
viewer.core.align_camera_center(viewer.data.V, viewer.data.F)
return False
# Load a mesh in OFF format
igl.readOFF(TUTORIAL_SHARED_PATH + "3holes.off", V, F)
# Compute face barycenters
igl.barycenter(V, F, B)
# Compute scale for visualizing fields
global_scale = .5 * igl.avg_edge_length(V, F)
# Contrain one face
b = igl.eigen.MatrixXi([[0]])
bc = igl.eigen.MatrixXd([[1, 0, 0]])
# Create a smooth 4-RoSy field
S = igl.eigen.MatrixXd()
igl.comiso.nrosy(V, F, b, bc, igl.eigen.MatrixXi(), igl.eigen.MatrixXd(), igl.eigen.MatrixXd(), 4, 0.5, X1, S)
# Find the the orthogonal vector
B1 = igl.eigen.MatrixXd()
B2 = igl.eigen.MatrixXd()
B3 = igl.eigen.MatrixXd()
# Compute gradient magnitude GU_mag = GU.rowwiseNorm() viewer = igl.glfw.Viewer() viewer.data().set_mesh(V, F) # Compute pseudocolor for original function C = igl.eigen.MatrixXd() igl.jet(U, True, C) # Or for gradient magnitude # igl.jet(GU_mag,True,C) viewer.data().set_colors(C) # Average edge length divided by average gradient (for scaling) max_size = igl.avg_edge_length(V, F) / GU_mag.mean() # Draw a black segment in direction of gradient at face barycenters BC = igl.eigen.MatrixXd() igl.barycenter(V, F, BC) black = igl.eigen.MatrixXd([[0.0, 0.0, 0.0]]) viewer.data().add_edges(BC, BC + max_size * GU, black) # Hide wireframe viewer.data().show_lines = False viewer.launch()
igl.principal_curvature(V, F, PD1, PD2, PV1, PV2) # Mean curvature H = 0.5 * (PV1 + PV2) viewer = igl.glfw.Viewer() viewer.data().set_mesh(V, F) # Compute pseudocolor C = igl.eigen.MatrixXd() igl.parula(H, True, C) viewer.data().set_colors(C) # Average edge length for sizing avg = igl.avg_edge_length(V, F) # Draw a blue segment parallel to the minimal curvature direction red = igl.eigen.MatrixXd([[0.8, 0.2, 0.2]]) blue = igl.eigen.MatrixXd([[0.2, 0.2, 0.8]]) viewer.data().add_edges(V + PD1 * avg, V - PD1 * avg, blue) # Draw a red segment parallel to the maximal curvature direction viewer.data().add_edges(V + PD2 * avg, V - PD2 * avg, red) # Hide wireframe viewer.data().show_lines = False viewer.launch()
# Compute gradient magnitude GU_mag = GU.rowwiseNorm() viewer = igl.glfw.Viewer() viewer.data().set_mesh(V, F) # Compute pseudocolor for original function C = igl.eigen.MatrixXd() igl.jet(U, True, C) # Or for gradient magnitude # igl.jet(GU_mag,True,C) viewer.data().set_colors(C) # Average edge length divided by average gradient (for scaling) max_size = igl.avg_edge_length(V, F) / GU_mag.mean() # Draw a black segment in direction of gradient at face barycenters BC = igl.eigen.MatrixXd() igl.barycenter(V, F, BC) black = igl.eigen.MatrixXd([[0.0, 0.0, 0.0]]) viewer.data().add_edges(BC, BC + max_size * GU, black) # Hide wireframe viewer.data().show_lines = False viewer.launch()
igl.jet(c, 1, 1 + rand_factor, C2)
viewer.data.add_edges(B - global_scale * VF, B + global_scale * VF, C2)
return False
# Load a mesh in OBJ format
igl.readOBJ("../../tutorial/shared/lilium.obj", V, F)
samples = readSamples("../../tutorial/shared/lilium.samples.0.2")
# Compute local basis for faces
igl.local_basis(V, F, B1, B2, B3)
# Compute face barycenters
igl.barycenter(V, F, B)
# Compute scale for visualizing fields
global_scale = 0.2 * igl.avg_edge_length(V, F)
# Make the example deterministic
random.seed(0)
viewer = igl.viewer.Viewer()
viewer.data.set_mesh(V, F)
viewer.callback_key_down = key_down
viewer.core.show_lines = False
key_down(viewer, ord('2'), 0)
viewer.launch()
igl.principal_curvature(V, F, PD1, PD2, PV1, PV2) # Mean curvature H = 0.5 * (PV1 + PV2) viewer = igl.glfw.Viewer() viewer.data().set_mesh(V, F) # Compute pseudocolor C = igl.eigen.MatrixXd() igl.parula(H, True, C) viewer.data().set_colors(C) # Average edge length for sizing avg = igl.avg_edge_length(V, F) # Draw a blue segment parallel to the minimal curvature direction red = igl.eigen.MatrixXd([[0.8, 0.2, 0.2]]) blue = igl.eigen.MatrixXd([[0.2, 0.2, 0.8]]) viewer.data().add_edges(V + PD1 * avg, V - PD1 * avg, blue) # Draw a red segment parallel to the maximal curvature direction viewer.data().add_edges(V + PD2 * avg, V - PD2 * avg, red) # Hide wireframe viewer.data().show_lines = False viewer.launch()
igl.jet(c,1,1+rand_factor,C2)
viewer.data.add_edges(B - global_scale*VF, B + global_scale*VF , C2)
return False
# Load a mesh in OBJ format
igl.readOBJ("../../tutorial/shared/lilium.obj", V, F)
samples = readSamples("../../tutorial/shared/lilium.samples.0.2")
# Compute local basis for faces
igl.local_basis(V,F,B1,B2,B3)
# Compute face barycenters
igl.barycenter(V, F, B)
# Compute scale for visualizing fields
global_scale = 0.2*igl.avg_edge_length(V, F)
# Make the example deterministic
random.seed(0)
viewer = igl.viewer.Viewer()
viewer.data.set_mesh(V, F)
viewer.callback_key_down = key_down
viewer.core.show_lines = False
key_down(viewer,ord('2'),0)
viewer.launch()
