def example(strings=['1', '2', '3'], number=1000, font='lilita_one'):
arrays = text.array(strings, font=font)
imgs = image.images(arrays, labels=strings, justify='vertical')
persp = perspective.Persp()
persp.fix_Q(special='cylinder', number=len(strings))
hull = Hull(imgs, persp)
hull.add_points(number)
hull.figure()
def example_xyz(save_data=False):
strings = ['x', 'y', 'z']
persp = perspective.Persp()
persp.fix_Q(special='standard', number=3)
font = 'leckerli_one'
arrays = text.array(strings, font=font)
imgs = image.images(arrays, labels=strings, justify='square')
h = Hull(imgs, persp)
h.add_points(5000)
#np.savetxt('examples/xyz/'+font+'_10000_xyz.csv',h.X,delimiter=',')
h.uniformize(target=1000)
X = h.X
np.save('xyz', X)
h.figure(plot=True)
def one_two_three():
strings = ['1', '2', '3']
persp = perspective.Persp()
persp.fix_Q(special='cylinder', number=3)
for font in text.fonts:
arrays = text.array(strings, font=font)
imgs = image.images(arrays, labels=strings, justify='vertical')
h = hull.Hull(imgs, persp)
h.add_points(10000)
np.savetxt('examples/123/' + font + '_10000_123.csv',
h.X,
delimiter=',')
np.savetxt('examples/123/' + font + '_10000_1.csv',
h.Y[0],
delimiter=',')
np.savetxt('examples/123/' + font + '_10000_2.csv',
h.Y[1],
delimiter=',')
np.savetxt('examples/123/' + font + '_10000_3.csv',
h.Y[2],
delimiter=',')
h.figure(plot=False)
plt.savefig('examples/123/' + font + '_10000')
for target in [1000, 500, 200, 100]:
h.uniformize(target=target)
target = str(target)
np.savetxt('examples/123/' + font + '_' + target + '_123.csv',
h.X,
delimiter=',')
np.savetxt('examples/123/' + font + '_' + target + '_1.csv',
h.Y[0],
delimiter=',')
np.savetxt('examples/123/' + font + '_' + target + '_2.csv',
h.Y[1],
delimiter=',')
np.savetxt('examples/123/' + font + '_' + target + '_3.csv',
h.Y[2],
delimiter=',')
h.figure(plot=False)
plt.savefig('examples/123/' + font + '_' + target + '_image')
def xyz():
strings = ['x', 'y', 'z']
persp = perspective.Persp()
persp.fix_Q(special='standard', number=3)
for font in text.fonts:
arrays = text.array(strings, font=font)
imgs = image.images(arrays, labels=strings, justify='vertical')
h = hull.Hull(imgs, persp)
h.add_points(10000)
np.savetxt('examples/xyz/' + font + '_10000_xyz.csv',
h.X,
delimiter=',')
h.figure(plot=False)
plt.savefig('examples/xyz/' + font + '_10000')
for target in [1000, 500, 200, 100]:
h.uniformize(target=target)
target = str(target)
np.savetxt('examples/xyz/' + font + '_' + target + '_xyz.csv',
h.X,
delimiter=',')
h.figure(plot=False)
plt.savefig('examples/xyz/' + font + '_' + target + '_image')
def sample(N=100, string='0', justify='square'):
array = text.array(string)
img = Img(array, justify=justify)
img.figure()
Y = img.sample(N, plot=True)