def orientedPaint(im, texture, N=7000, size=50, noise=0.3):
'''same as painterly but computes and uses the local orientation information to orient strokes.'''
out = np.zeros_like(im)
thetas = computeAngles(im)
singleScaleOrientedPaint(im, out, thetas, np.ones_like(im), texture, float(size), N, noise, 36)
singleScaleOrientedPaint(im, out, thetas, helper.sharpnessMap(im), texture, float(size)/4, N, noise, 36)
return out
def painterly(im, texture, N=10000, size=50, noise=0.3):
''' First paints at a coarse scale using all 1's for importance sampling,
then paints again at size/4 scale using the sharpness map for importance sampling.'''
out = np.zeros_like(im)
singleScalePaint(im, out, np.ones_like(im), texture, float(size), N, noise)
singleScalePaint(im, out, helper.sharpnessMap(im), texture, float(size)/4, N, noise)
return out
def painterly(im,
texture,
N=10000,
size=50,
noise=01.3,
debug=False,
imname=''):
'''First paints at a coarse scale using all 1's for importance sampling, then paints again at size/4 scale using the sharpness map for importance sampling.'''
out = io.constantIm(im.shape[0], im.shape[1])
outCopy = None
if debug:
outCopy = out.copy()
# first pass
importance_first_pass = np.ones_like(im)
singleScalePaint(im, out, importance_first_pass, texture, size, N, noise)
if debug:
io.imwrite(out, str(imname + "PainterlyFirstPassOnly.png"))
# second pass
importance_second_pass = helper.sharpnessMap(im)
singleScalePaint(im, out, importance_second_pass, texture, size / 4, N,
noise)
if debug:
singleScalePaint(im, outCopy, importance_second_pass, texture,
size / 4, N, noise)
io.imwrite(outCopy, str(imname + "PainterlySecondPassOnly.png"))
return out
def painterly(im, texture, N=10000, size=50, noise=0.3):
'''First paints at a coarse scale using all 1's for importance sampling, then paints again at size/4 scale using the sharpness map for importance sampling.'''
importanceLow = np.ones_like(im)
outLow = io.constantIm( im.shape[0], im.shape[1], 0.0 )
singleScalePaint(im, outLow, importanceLow, texture, size, N, noise)
importanceHigh = helper.sharpnessMap(im)
singleScalePaint(im, outLow, importanceHigh, texture, size/4, N, noise)
return outLow
def orientedPaint(im, texture, N=7000, size=50, noise=0.3):
'''same as painterly but computes and uses the local orientation information to orient strokes.'''
importanceLow = np.ones_like(im)
outLow = io.constantIm( im.shape[0], im.shape[1], 0.0 )
thetas = computeAngles(im)
singleScaleOrientedPaint(im, outLow, thetas, importanceLow, texture, size, N, noise)
importanceHigh = helper.sharpnessMap(im)
singleScaleOrientedPaint(im, outLow, thetas, importanceHigh, texture, size/4, N, noise)
return outLow
def orientedPaint(im, texture, N=7000, size=50, noise=0.3):
'''same as painterly but computes and uses the local orientation information to orient strokes.'''
out = io.constantIm(im.shape[0], im.shape[1])
thetas = computeAngles(im)
# first pass
importance_first_pass = np.ones_like(im)
singleScaleOrientedPaint(im, out, thetas, importance_first_pass, texture,
size, N, noise)
# second pass
importance_second_pass = helper.sharpnessMap(im)
singleScaleOrientedPaint(im, out, thetas, importance_second_pass, texture,
size / 4, N, noise)
return out
