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added conversion helpers for matlab

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added examples for using the python wrappers in matlab
This commit is contained in:
Daniele Panozzo
2015-10-07 01:49:58 +02:00
parent 9f467b8009
commit 4e4cadbbcf
12 changed files with 220 additions and 186 deletions
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python/matlab/CurvatureDirections.m
-59
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V = py.igl.eigen.MatrixXd();
F = py.igl.eigen.MatrixXi();
py.igl.read_triangle_mesh('../tutorial/shared/fertility.off', V, F);
% Alternative discrete mean curvature
HN = py.igl.eigen.MatrixXd();
L = py.igl.eigen.SparseMatrixd();
M = py.igl.eigen.SparseMatrixd();
Minv = py.igl.eigen.SparseMatrixd();
py.igl.cotmatrix(V,F,L)
py.igl.massmatrix(V,F,py.igl.MASSMATRIX_TYPE_VORONOI,M)
py.igl.invert_diag(M,Minv)
% Laplace-Beltrami of position
HN = -Minv*(L*V)
% Extract magnitude as mean curvature
H = HN.rowwiseNorm()
% Compute curvature directions via quadric fitting
PD1 = py.igl.eigen.MatrixXd()
PD2 = py.igl.eigen.MatrixXd()
PV1 = py.igl.eigen.MatrixXd()
PV2 = py.igl.eigen.MatrixXd()
py.igl.principal_curvature(V,F,PD1,PD2,PV1,PV2)
% Mean curvature
H = 0.5*(PV1+PV2)
viewer = py.igl.viewer.Viewer()
viewer.data.set_mesh(V, F)
% Compute pseudocolor
C = py.igl.eigen.MatrixXd()
py.igl.parula(H,true,C)
viewer.data.set_colors(C)
% Average edge length for sizing
avg = py.igl.avg_edge_length(V,F)
% Draw a blue segment parallel to the minimal curvature direction
red = py.iglhelpers.p2e(py.numpy.array([[0.8,0.2,0.2]]))
blue = py.iglhelpers.p2e(py.numpy.array([[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.core.show_lines = false
viewer.launch()
python/matlab/example1.m
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%% Launch the external viewer
launch_viewer;
%% Load a mesh in OFF format
V = py.igl.eigen.MatrixXd();
F = py.igl.eigen.MatrixXi();
py.igl.readOFF('../tutorial/shared/beetle.off', V, F);
%% Scale the x coordinate in matlab
V = p2m(V);
V(:,1) = V(:,1) * 2;
V = m2p(V);
%% Plot the mesh
viewer = py.tcpviewer_single.TCPViewer();
viewer.data.set_mesh(V, F);
viewer.launch();
python/matlab/example2.m
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% Launch the external viewer
launch_viewer;
V = py.igl.eigen.MatrixXd();
F = py.igl.eigen.MatrixXi();
py.igl.read_triangle_mesh('../tutorial/shared/fertility.off', V, F);
% Alternative discrete mean curvature
HN = py.igl.eigen.MatrixXd();
L = py.igl.eigen.SparseMatrixd();
M = py.igl.eigen.SparseMatrixd();
Minv = py.igl.eigen.SparseMatrixd();
py.igl.cotmatrix(V,F,L);
py.igl.massmatrix(V,F,py.igl.MASSMATRIX_TYPE_VORONOI,M);
py.igl.invert_diag(M,Minv);
% Laplace-Beltrami of position
HN = -Minv*(L*V);
% Extract magnitude as mean curvature
H = HN.rowwiseNorm();
% Compute curvature directions via quadric fitting
PD1 = py.igl.eigen.MatrixXd();
PD2 = py.igl.eigen.MatrixXd();
PV1 = py.igl.eigen.MatrixXd();
PV2 = py.igl.eigen.MatrixXd();
py.igl.principal_curvature(V,F,PD1,PD2,PV1,PV2);
% Mean curvature
H = 0.5*(PV1+PV2);
viewer = py.tcpviewer_single.TCPViewer();
viewer.data.set_mesh(V, F);
% Compute pseudocolor
C = py.igl.eigen.MatrixXd();
py.igl.parula(H,true,C);
viewer.data.set_colors(C);
% Average edge length for sizing
avg = py.igl.avg_edge_length(V,F);
% Draw a blue segment parallel to the minimal curvature direction
red = m2p([0.8,0.2,0.2]);
blue = m2p([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);
% Plot
viewer.launch()
python/matlab/launch_viewer.m
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system('python tcpviewer_single.py&');
pause(0.1) % Wait a bit for the viewer to start
python/matlab/m2p.m
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% Converts a Matlab matrix to a python-wrapped Eigen Matrix
function [ P ] = m2p( M )
if (isa(M, 'double'))
% Convert the matrix to a python 1D array
a = py.array.array('d',reshape(M,1,numel(M)));
% Then convert it to a eigen type
t = py.igl.eigen.MatrixXd(a.tolist());
% Finally reshape it back
P = t.MapMatrix(uint16(size(M,1)),uint16(size(M,2)));
elseif (isa(M, 'integer'))
% Convert the matrix to a python 1D array
a = py.array.array('i',reshape(M,1,numel(M)));
% Then convert it to a eigen type
t = py.igl.eigen.MatrixXi(a.tolist());
% Finally reshape it back
P = t.MapMatrix(uint16(size(M,1)),uint16(size(M,2)));
else
error('Unsupported numerical type.');
end
python/matlab/p2m.m
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% Converts a python-wrapped Eigen Matrix to a Matlab matrix
function [ M ] = p2m( P )
if py.repr(py.type(P)) == '<class ''igl.eigen.MatrixXd''>'
% Convert it to a python array first
t = py.array.array('d',P);
% Reshape it
M = reshape(double(t),P.rows(),P.cols());
elseif py.repr(py.type(P)) == '<class ''igl.eigen.MatrixXi''>'
% Convert it to a python array first
t = py.array.array('i',P);
% Reshape it
M = reshape(int32(t),P.rows(),P.cols());
else
error('Unsupported numerical type.');
end
end
python/matlab/t102DrawMesh.m
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% Load a mesh in OFF format
V = py.igl.eigen.MatrixXd();
F = py.igl.eigen.MatrixXi();
py.igl.readOFF('../tutorial/shared/beetle.off', V, F);
V
% Plot the mesh
viewer = py.tcpviewer.TCPViewer()
viewer.data.set_mesh(V, F)
viewer.launch()