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May 11, 2017 09:09
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draws images at given 2d coordinates like T-SNE of MNIST
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def imscatter(images, positions): | |
positions = np.array(positions) | |
bottoms = positions[:,1] - np.array([im.shape[1]/2.0 for im in images]) | |
tops = bottoms + np.array([im.shape[1] for im in images]) | |
lefts = positions[:,0] - np.array([im.shape[0]/2.0 for im in images]) | |
rigths = lefts + np.array([im.shape[0] for im in images]) | |
most_bottom = np.floor(bottoms.min()) | |
most_top = np.ceil(tops.max()) | |
most_left = np.floor(lefts.min()) | |
most_right = np.ceil(rigths.max()) | |
print most_bottom, most_top , most_left, most_right | |
scatter_image = np.zeros([most_right - most_left,most_top-most_bottom,3],dtype = imgs[0].dtype) | |
# shift, now all from zero | |
positions -= [most_left,most_bottom] | |
for im,pos in zip(images,positions): | |
xl = int(pos[0] - im.shape[0]/2) | |
xr = xl + im.shape[0] | |
yb = int(pos[1] - im.shape[1]/2) | |
yt = yb + im.shape[1] | |
scatter_image[xl:xr,yb:yt,:] = im | |
return scatter_image |
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