################################################################################### #3D mesh manipulation and silhouette detection #rotation and update of vertices n11=0.05*np.pi n22=0.05*np.pi #3D mesh MH.scale_mesh(scale1) MHexam.scale_mesh(scale1) MH.rotate_mesh(n11, "xy") MHexam.rotate_mesh(n11, "xy") MH.rotate_mesh(n22, "zx") MHexam.rotate_mesh(n22,"zx") #Initialisation of edges MH.unique_edges() #Identification of edges MH.silhouette_vertices("Lodox", ViewP) #projecting alignment points points_bif3Dproj=pm.project_points_ss(MH.points, l0=ViewP, p0=p0) skel_3Dproj=pm.project_points_ss(MH.skel, l0=ViewP, p0=p0) points_proj=pm.project_points_ss(MH.silvert1, l0=ViewP, p0=p0) #PLOT 1: Plotting meshplot_module.plot_big(MH, MHexam, points_proj, points_bif3Dproj, skel_3Dproj, ViewP, proj_type, fnum=1) #mlab.savefig("figure1.x3d") #exporting as x3d #mlab.savefig("figure1.png", magnification=2) mlab.show()
n22 = 0.05 * np.pi #3D mesh MH.scale_mesh(scale1) MHexam.scale_mesh(scale1) MH.rotate_mesh(n11, "xy") MHexam.rotate_mesh(n11, "xy") MH.rotate_mesh(n22, "zx") MHexam.rotate_mesh(n22, "zx") #Initialisation of edges MH.unique_edges() #Identification of edges MH.silhouette_vertices("Lodox", ViewP) #projecting alignment points points_bif3Dproj = pm.project_points_ss(MH.points, l0=ViewP, p0=p0) skel_3Dproj = pm.project_points_ss(MH.skel, l0=ViewP, p0=p0) points_proj = pm.project_points_ss(MH.silvert1, l0=ViewP, p0=p0) #PLOT 1: Plotting meshplot_module.plot_big(MH, MHexam, points_proj, points_bif3Dproj, skel_3Dproj, ViewP, proj_type, fnum=1) #mlab.savefig("figure1.x3d") #exporting as x3d #mlab.savefig("figure1.png", magnification=2) mlab.show()
eigenvalues = eigenvalues.reshape((eigenvalues.shape[0], 1)) eigenvalues = eigenvalues * (3 * np.sqrt(MH.V[1:12])) MH.prin_comp_trans(eigenvalues) MH.scale_mesh(scale1) MH.rotate_mesh(n11, "xy") MH.rotate_mesh(n22, "zx") #Initialisation of edges MH.unique_edges() #Identification of edges MH.silhouette_vertices("Lodox", ViewP) #projecting alignment points points_proj = pm.project_points_ss(MH.silvert1, l0=ViewP, p0=p0) #PLOT 1: Plotting the projection (deformed statistical model) meshplot_module.plot_big(MH, [], points_proj, [], [], ViewP, proj_type, plot_type="simple", fnum=1) #Moving along 2nd mode of variation (Other extreme) MH.reset_mesh() #eigenvalues eigenvalues = np.array([0.0, -1.0, 0., 0., 0., 0., 0., 0., 0., 0., 0.]) # eigenvalues = eigenvalues.reshape((eigenvalues.shape[0], 1)) eigenvalues = eigenvalues * (3 * np.sqrt(MH.V[1:12])) MH.prin_comp_trans(eigenvalues) MH.scale_mesh(scale1) MH.rotate_mesh(n11, "xy") MH.rotate_mesh(n22, "zx")
eigenvalues=np.array([0.0, 1.0, 0., 0., 0., 0., 0., 0., 0., 0., 0.]) # eigenvalues=eigenvalues.reshape((eigenvalues.shape[0], 1)) eigenvalues=eigenvalues*(3*np.sqrt(MH.V[1:12])) MH.prin_comp_trans(eigenvalues) MH.scale_mesh(scale1) MH.rotate_mesh(n11, "xy") MH.rotate_mesh(n22, "zx") #Initialisation of edges MH.unique_edges() #Identification of edges MH.silhouette_vertices("Lodox", ViewP) #projecting alignment points points_proj=pm.project_points_ss(MH.silvert1, l0=ViewP, p0=p0) #PLOT 1: Plotting the projection (deformed statistical model) meshplot_module.plot_big(MH, [], points_proj, [], [], ViewP, proj_type, plot_type="simple", fnum=1) #Moving along 2nd mode of variation (Other extreme) MH.reset_mesh() #eigenvalues eigenvalues=np.array([0.0, -1.0, 0., 0., 0., 0., 0., 0., 0., 0., 0.]) # eigenvalues=eigenvalues.reshape((eigenvalues.shape[0], 1)) eigenvalues=eigenvalues*(3*np.sqrt(MH.V[1:12])) MH.prin_comp_trans(eigenvalues) MH.scale_mesh(scale1) MH.rotate_mesh(n11, "xy") MH.rotate_mesh(n22, "zx") #Initialisation of edges MH.unique_edges()