def testAngle(im):
thetas = npr.computeAngles(im)
out = np.zeros_like(thetas)
for y in xrange(thetas.shape[0]):
for x in xrange(thetas.shape[1]):
theta = thetas[y, x, 0]
if theta < 0: theta += 2 * math.pi
out[y, x] = theta / 2.0 / math.pi
io.imwrite(out, 'testangle.png')
def testAngle(im):
thetas = npr.computeAngles(im)
out = np.zeros_like(thetas)
for y in xrange(thetas.shape[0]):
for x in xrange(thetas.shape[1]):
theta = thetas[y,x,0]
if theta<0: theta+=2*math.pi
out[y,x]=theta/2.0/math.pi
io.imwrite(out, 'testangle.png')
def testSingleScaleOrientedPaint(im,
texture,
outputName,
N=10000,
size=50,
noise=0.3,
nAngles=36):
out = np.zeros_like(im)
thetas = npr.computeAngles(im)
npr.singleScaleOrientedPaint(im, out, thetas, np.ones_like(im), texture,
size, N, noise, nAngles)
io.imwrite(out, str(outputName + "SingleScaleOriented" + ".png"))
def testSingleScaleOrientedPaint(im, texture, outputName, N=10000, size=50, noise=0.3, nAngles=36):
out = np.zeros_like(im)
thetas = npr.computeAngles(im)
npr.singleScaleOrientedPaint(im, out, thetas, np.ones_like(im), texture, size, N, noise, nAngles)
io.imwrite(out, str(outputName+"SingleScaleOriented"+".png"))