#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Examples for the NURBS-Python Package
Released under MIT License
Developed by Onur Rauf Bingol (c) 2018
Exporting a NURBS surface as .obj file
"""
from geomdl.shapes import surface
from geomdl import exchange
cylinder = surface.cylinder(radius=5.0, height=22.5)
cylinder.delta = 0.05
# Export the surface as a .obj file
exchange.export_obj(cylinder, "cylindrical_surface.obj")
# Good to have something here to put a breakpoint
pass
def main():
points = np.loadtxt("N2_RV_P0.txt")
zmin_loc_temp = np.where(points[:, 1] == 0)[0]
zmin_loc = zmin_loc_temp
# points = remove_3dpoint(points,zmin_loc)
N = 5
slice(N, points)
slice0 = slice.slices[0]
x0 = slice0[:, 0]
y0 = slice0[:, 1]
z0 = slice0[:, 2]
slice1 = slice.slices[1]
x1 = slice1[:, 0]
y1 = slice1[:, 1]
z1 = slice1[:, 2]
slice2 = slice.slices[2]
x2 = slice2[:, 0]
y2 = slice2[:, 1]
z2 = slice2[:, 2]
slice3 = slice.slices[3]
x3 = slice3[:, 0]
y3 = slice3[:, 1]
z3 = slice3[:, 2]
slice4 = slice.slices[4]
x4 = slice4[:, 0]
y4 = slice4[:, 1]
z4 = slice4[:, 2]
print(np.shape(points))
ranges = slice.bins
diameter = x0.max() - x0.min()
radius = diameter
height = z0.max()
diameter1 = x1.max() - x1.min()
radius1 = diameter1
height1 = z1.max()
diameter2 = x2.max() - x2.min()
radius2 = diameter2
height2 = z2.max()
diameter3 = x3.max() - x3.min()
radius3 = diameter3
height3 = z3.max()
diameter4 = x4.max() - x4.min()
radius4 = diameter4 / 2
height4 = x4.max()
# Generate a cylindrical surface using the shapes component
cylinder = surface.cylinder(radius, height)
# vis_config = VisMPL.VisConfig(ctrlpts=True)
# vis_comp = VisMPL.VisSurface(config=vis_config)
# cylinder.vis = vis_comp
# cylinder.render()
cyl_points = cylinder.evalpts
print("*****************")
# print(len(cyl_points))
print("*****************")
cylinder1 = surface.cylinder(radius1, height1)
cyl_points1 = cylinder1.evalpts
# vis_config = VisMPL.VisConfig(ctrlpts=True)
# vis_comp = VisMPL.VisSurface(config=vis_config)
# cylinder1.vis = vis_comp
# cylinder1.render()
cylinder2 = surface.cylinder(radius2, height2)
cyl_points2 = cylinder2.evalpts
# vis_config = VisMPL.VisConfig(ctrlpts=True)
# vis_comp = VisMPL.VisSurface(config=vis_config)
# cylinder2.vis = vis_comp
# cylinder2.render()
cylinder3 = surface.cylinder(radius3, height3)
cyl_points3 = cylinder3.evalpts
# vis_config = VisMPL.VisConfig(ctrlpts=True)
# vis_comp = VisMPL.VisSurface(config=vis_config)
# cylinder2.vis = vis_comp
# cylinder2.render()
cylinder4 = surface.cylinder(radius4, height4)
cyl_points4 = cylinder4.evalpts
# vis_config = VisMPL.VisConfig(ctrlpts=True)
# vis_comp = VisMPL.VisSurface(config=vis_config)
# cylinder4.vis = vis_comp
# cylinder4.render()
#try using points from the surface not the control points
cylinder_cpts = np.array(cylinder.ctrlpts)
cylinder_cpts1 = np.array(cylinder1.ctrlpts)
cylinder_cpts2 = np.array(cylinder2.ctrlpts)
cylinder_cpts3 = np.array(cylinder3.ctrlpts)
cylinder_cpts4 = np.array(cylinder4.ctrlpts)
a = np.array(cdist(np.array(cyl_points), slice0)).min(axis=0)
b = np.array(cdist(np.array(cyl_points1), slice1)).min(axis=0)
c = np.array(cdist(np.array(cyl_points2), slice2)).min(axis=0)
d = np.array(cdist(np.array(cyl_points3), slice3)).min(axis=0)
e = np.array(cdist(np.array(cyl_points4), slice4)).min(axis=0)
test = np.zeros((len(cylinder_cpts), 3))
test1 = np.zeros((len(cylinder_cpts1), 3))
test2 = np.zeros((len(cylinder_cpts2), 3))
test3 = np.zeros((len(cylinder_cpts3), 3))
test4 = np.zeros((len(cylinder_cpts4), 3))
for i in range(0, len(cylinder_cpts)):
test[i] = (cylinder_cpts[i] / np.linalg.norm(cylinder_cpts[i])) * a[i]
test1[i] = (cylinder_cpts1[i] /
np.linalg.norm(cylinder_cpts1[i])) * b[i]
test2[i] = (cylinder_cpts2[i] /
np.linalg.norm(cylinder_cpts2[i])) * c[i]
test3[i] = (cylinder_cpts3[i] /
np.linalg.norm(cylinder_cpts3[i])) * d[i]
test4[i] = (cylinder_cpts4[i] /
np.linalg.norm(cylinder_cpts4[i])) * e[i]
test_zeros_loc = np.where(test[:, 2] == 0)[0]
test1_zeros_loc = np.where(test1[:, 2] == 0)[0]
test2_zeros_loc = np.where(test2[:, 2] == 0)[0]
test3_zeros_loc = np.where(test3[:, 2] == 0)[0]
test4_zeros_loc = np.where(test4[:, 2] == 0)[0]
test = remove_3dpoint(test, test_zeros_loc)
test1 = remove_3dpoint(test1, test1_zeros_loc)
test2 = remove_3dpoint(test2, test2_zeros_loc)
test3 = remove_3dpoint(test3, test3_zeros_loc)
test4 = remove_3dpoint(test4, test4_zeros_loc)
test = np.array(
[test[:, 0], test[:, 1],
np.ones(len(test[:, 2])) * ranges[0]]).T
test1 = np.array(
[test1[:, 0], test1[:, 1],
np.ones(len(test1[:, 2])) * ranges[1]]).T
test2 = np.array(
[test2[:, 0], test2[:, 1],
np.ones(len(test2[:, 2])) * ranges[2]]).T
test3 = np.array(
[test3[:, 0], test3[:, 1],
np.ones(len(test3[:, 2])) * ranges[3]]).T
test4 = np.array(
[test4[:, 0], test4[:, 1],
np.ones(len(test4[:, 2])) * ranges[4]]).T
# for i in range(0,len(test1)):
# test1[i] = test1[i] + [0,0,height]
# test2[i] = test2[i]+[0,0,height1]
# test3[i] = test3[i]+[0,0,height2]
test = remove_3dpoint(test, len(test) - 1)
test1 = remove_3dpoint(test1, len(test1) - 1)
test2 = remove_3dpoint(test2, len(test2) - 1)
test3 = remove_3dpoint(test3, len(test3) - 1)
test4 = remove_3dpoint(test4, len(test4) - 1)
# test = np.insert(test,[0,len(test)],[[0,0,-5],[0,0,ranges[0]]],axis=0)
# test1 = np.insert(test1,[0,len(test1)],[0,0,ranges[1]],axis=0)
# test2 = np.insert(test2,[0,len(test2)],[0,0,ranges[2]],axis=0)
test = np.insert(
test,
[len(test) - 2, len(test) - 1, len(test)], [test[0], test[1], test[2]],
axis=0)
test1 = np.insert(
test1, [len(test1) - 2, len(test1) - 1,
len(test1)], [test1[0], test1[1], test1[2]],
axis=0)
test2 = np.insert(
test2, [len(test2) - 2, len(test2) - 1,
len(test2)], [test2[0], test2[1], test2[2]],
axis=0)
test3 = np.insert(
test3, [len(test3) - 2, len(test3) - 1,
len(test3)], [test3[0], test3[1], test3[2]],
axis=0)
test = np.insert(
test4, [len(test4) - 2, len(test4) - 1,
len(test4)], [test4[0], test4[1], test4[2]],
axis=0)
# print(test)
# print(test1)
# print(test2)
# print(test3)
X = np.row_stack((test, test1, test2, test3, test4))
print(X)
# np.random.shuffle(X)
np.savetxt("cpts_test.csv", X, delimiter=",")
# np.savetxt("cpts_test1.csv", test1, delimiter=",")
fig = plt.figure()
ax = plt.axes(projection="3d")
ax.scatter3D(test[:, 0],
test[:, 1],
np.ones(len(test[:, 2])) * ranges[0],
color='red')
ax.scatter3D(test1[:, 0], test1[:, 1], test1[:, 2], color='blue')
ax.scatter3D(test2[:, 0], test2[:, 1], test2[:, 2], color='green')
ax.scatter3D(test3[:, 0], test3[:, 1], test3[:, 2], color='yellow')
ax.scatter3D(test4[:, 0], test4[:, 1], test4[:, 2], color='purple')
# ax.scatter3D(cylinder_cpts[:,0],cylinder_cpts[:,1],cylinder_cpts[:,2])
# ax.scatter3D(cylinder_cpts1[:,0],cylinder_cpts1[:,1],cylinder_cpts1[:,2])
# try fitting a NURBS Surface
surf = NURBS.Surface()
surf.delta = 0.03
p_ctrlpts = exchange.import_csv("cpts_test.csv")
print(len(p_ctrlpts))
p_weights = np.ones((len(p_ctrlpts)))
p_size_u = 9
p_size_v = 5
p_degree_u = 3
p_degree_v = 3
t_ctrlptsw = compat.combine_ctrlpts_weights(p_ctrlpts, p_weights)
n_ctrlptsw = compat.flip_ctrlpts_u(t_ctrlptsw, p_size_u, p_size_v)
n_knotvector_u = utils.generate_knot_vector(p_degree_u, p_size_u)
n_knotvector_v = utils.generate_knot_vector(p_degree_v, p_size_v)
surf.degree_u = p_degree_u
surf.degree_v = p_degree_v
surf.set_ctrlpts(n_ctrlptsw, p_size_u, p_size_v)
surf.knotvector_u = n_knotvector_u
surf.knotvector_v = n_knotvector_v
vis_config = vis.VisConfig(ctrlpts=True, axes=True, legend=True)
surf.vis = vis.VisSurface(vis_config)
surf.evaluate()
surf.render()
