Esempi in Python per slice

Esempio n. 1

File: 301_Slice.py Progetto: walkevin/libigl

V = igl.eigen.MatrixXd()
F = igl.eigen.MatrixXi()

igl.readOFF("../tutorial/shared/decimated-knight.off",V,F)

# 100 random indicies into rows of F
I = igl.eigen.MatrixXi()
igl.floor((0.5*(igl.eigen.MatrixXd.Random(100,1)+1.)*F.rows()),I);

# 50 random indicies into rows of I
J = igl.eigen.MatrixXi()
igl.floor((0.5*(igl.eigen.MatrixXd.Random(50,1)+1.)*I.rows()),J)

# K = I(J);
K = igl.eigen.MatrixXi()
igl.slice(I,J,K)

# default green for all faces
#C = p2e(np.array([[0.4,0.8,0.3]])).replicate(F.rows(),1)
C = igl.eigen.MatrixXd([[0.4,0.8,0.3]]).replicate(F.rows(),1)

# Red for each in K
R = igl.eigen.MatrixXd([[1.0,0.3,0.3]]).replicate(K.rows(),1)
# C(K,:) = R
igl.slice_into(R,K,1,C)

# Plot the mesh with pseudocolors
viewer = igl.viewer.Viewer()
viewer.data.set_mesh(V, F)
viewer.data.set_colors(C)
viewer.launch()

Esempio n. 2

File: 303_LaplaceEquation.py Progetto: adityasraghav/OpenGL_SolarSystem

# List of all vertex indices
vall  = igl.eigen.MatrixXi()
vin   = igl.eigen.MatrixXi()

igl.coloni(0,V.rows()-1,vall)

# List of interior indices
igl.setdiff(vall,b,vin,IA)

# Construct and slice up Laplacian
L = igl.eigen.SparseMatrixd()
L_in_in = igl.eigen.SparseMatrixd()
L_in_b = igl.eigen.SparseMatrixd()

igl.cotmatrix(V,F,L)
igl.slice(L,vin,vin,L_in_in)
igl.slice(L,vin,b,L_in_b)

# Dirichlet boundary conditions from z-coordinate
bc = igl.eigen.MatrixXd()
Z = V.col(2)
igl.slice(Z,b,bc)

# Solve PDE
solver = igl.eigen.SimplicialLLTsparse(-L_in_in)
Z_in = solver.solve(L_in_b*bc)

# slice into solution
igl.slice_into(Z_in,vin,Z)

# Alternative, short hand

Esempio n. 3

File: 303_LaplaceEquation.py Progetto: wild10/ImplementationReview_NestedCages

# List of all vertex indices
vall = igl.eigen.MatrixXi()
vin = igl.eigen.MatrixXi()

igl.coloni(0, V.rows() - 1, vall)

# List of interior indices
igl.setdiff(vall, b, vin, IA)

# Construct and slice up Laplacian
L = igl.eigen.SparseMatrixd()
L_in_in = igl.eigen.SparseMatrixd()
L_in_b = igl.eigen.SparseMatrixd()

igl.cotmatrix(V, F, L)
igl.slice(L, vin, vin, L_in_in)
igl.slice(L, vin, b, L_in_b)

# Dirichlet boundary conditions from z-coordinate
bc = igl.eigen.MatrixXd()
Z = V.col(2)
igl.slice(Z, b, bc)

# Solve PDE
solver = igl.eigen.SimplicialLLTsparse(-L_in_in)
Z_in = solver.solve(L_in_b * bc)

# slice into solution
igl.slice_into(Z_in, vin, Z)

# Alternative, short hand

Esempio n. 4

File: 301_Slice.py Progetto: wild10/ImplementationReview_NestedCages

V = igl.eigen.MatrixXd()
F = igl.eigen.MatrixXi()

igl.readOFF("../../tutorial/shared/decimated-knight.off", V, F)

# 100 random indicies into rows of F
I = igl.eigen.MatrixXi()
igl.floor((0.5 * (igl.eigen.MatrixXd.Random(100, 1) + 1.) * F.rows()), I)

# 50 random indicies into rows of I
J = igl.eigen.MatrixXi()
igl.floor((0.5 * (igl.eigen.MatrixXd.Random(50, 1) + 1.) * I.rows()), J)

# K = I(J);
K = igl.eigen.MatrixXi()
igl.slice(I, J, K)

# default green for all faces
#C = p2e(np.array([[0.4,0.8,0.3]])).replicate(F.rows(),1)
C = igl.eigen.MatrixXd([[0.4, 0.8, 0.3]]).replicate(F.rows(), 1)

# Red for each in K
R = igl.eigen.MatrixXd([[1.0, 0.3, 0.3]]).replicate(K.rows(), 1)
# C(K,:) = R
igl.slice_into(R, K, 1, C)

# Plot the mesh with pseudocolors
viewer = igl.viewer.Viewer()
viewer.data.set_mesh(V, F)
viewer.data.set_colors(C)
viewer.launch()