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December 16, 2015 05:19
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Animated arctan(z) warping. Examples: https://dl.dropboxusercontent.com/u/15297093/cubes800_diag.gif and https://dl.dropboxusercontent.com/u/15297093/stripes800_diag.gif.
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import sys | |
import numpy as np | |
from scipy import ndimage | |
from scipy.misc import imread, imsave | |
def transform(X, Y, scale1, scale2): | |
shape = np.float_(X.max()), np.float_(Y.max()) | |
X = X - shape[0]/2 | |
Y = Y - shape[1]/2 | |
points = np.arctan( (X + 1j*Y) / scale1)*scale2 | |
return np.real(points), np.imag(points) | |
def map_coordinates_color(img, coords, **kwargs): | |
num_channels = img.shape[-1] | |
shape = coords[0].shape | |
res = np.zeros(shape+(num_channels,), img.dtype) | |
for i in xrange(num_channels): | |
res[...,i] = ndimage.map_coordinates(img[...,i], coords, **kwargs) | |
return res | |
def animate(img, prefix="img_", num_frames=40, shape=(512,800), scale1=256, scale2=512, autofit=True): | |
X, Y = np.mgrid[:shape[0], :shape[1]] | |
X2, Y2 = transform(X, Y, scale1, scale2) | |
if autofit: | |
diff = X2.max() - X2.min() | |
scale3 = np.round(diff/img.shape[0])*(img.shape[0]-1)/diff | |
X2, Y2 = X2*scale3, Y2*scale3 | |
step = img.shape[0]/float(num_frames) | |
ratio = img.shape[1]/float(img.shape[0]) | |
for i in xrange(num_frames): | |
print >> sys.stderr, "Frame %d..."%i | |
offset_x = i * step | |
offset_y = offset_x*ratio | |
aux = map_coordinates_color(img, [X2+offset_x,Y2-offset_y], mode='wrap') | |
imsave("%s%03d.png"%(prefix, i), aux) | |
def main(): | |
filename = sys.argv[1] | |
img = imread(filename) | |
animate(img) | |
if __name__ == '__main__': | |
main() |
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