def line(img):
def xs_func():
nsamples = 500
return .001*np.random.random() + np.linspace(lo+.1,up-.1, nsamples)
lo, up = .2, .8
path = spl.line(lo, up, .5)
spl.update_img(img, path, xs_func, nrep=1000, periodic=False)
def test_spline(beg, end, nbpoints):
"""
test that spline return a null vector for a line
"""
path = spl.line(beg, end, npoints=nbpoints) # create a path from a line
y2s = spl.spline.spline(
path[:, 0], path[:, 1]
) # create the spline from the path, nb: path[:,0] is the first column
assert y2s == pytest.approx(np.zeros(
nbpoints)) # check that the second derivative is a null vector
def line(img):
"""
line
"""
def xs_func():
"""
xs function
"""
nsamples = 500
return .001 * np.random.random() + np.linspace(beg + .1, end - .1,
nsamples)
beg, end = .2, .8
path = spl.line(beg, end, .5)
spl.update_img(img, path, xs_func, nrep=1000, periodic=False)
def test_spline(beg, end, nbpoints):
path = spl.line(beg, end, npoints=nbpoints)
y2s = spl.spline.spline(path[:, 0], path[:, 1])
assert y2s == pytest.approx(np.zeros(nbpoints))
import numpy as np
import splinart as spl
img_size, channels = 1000, 4
img = np.ones((img_size, img_size, channels)) #, dtype=np.float32)
lo, up = .2, .8
path = []
color_lines = []
npoints = 20
for iy, y in enumerate(np.linspace(lo, up, 10)):
npoints += 5
path.append(spl.line(lo, up, y, npoints))
color = np.random.random(4) * .3
color[-1] = 1.
color_lines.append(color)
def xs_func():
nsamples = 500
return .001 * np.random.random() + np.linspace(lo + .02, up - .02,
nsamples)
for i in range(len(path)):
img1 = np.ones_like(img)
spl.update_img(img1,
path[i],
xs_func,
nrep=1000,
periodic=False,
# Author:
# Loic Gouarin <*****@*****.**>
#
# License: BSD 3 clause
from __future__ import print_function, division, absolute_import
import numpy as np
from six.moves import range
import splinart as spl
img_size, channels = 1000, 4
img = np.ones((img_size, img_size, channels), dtype=np.float32)
def xs_func():
nsamples = 500
return .001*np.random.random() + np.linspace(lo+.1,up-.1, nsamples)
lo, up = .2, .8
path = spl.line(lo, up, .5)
spl.update_img(img, path, xs_func, nrep=1000, periodic=False)
spl.save_img(img, "./output", "line.png")
def test_line(nbpoints, expected):
path = spl.line(0, 1, npoints=nbpoints)
assert path == approx(expected)
def test_line_2():
path = spl.line(0, 1, npoints=3)
assert path == approx(np.array([[0, 0.5], [0.5, 0.5], [1, 0.5]]))
