Jbed Zip
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f_whitening.py
| #PCA whitening involves finding the inverse square root of the covariance matrix |
| #of a set of observations, which is prohibitively expensive when dealing |
| #with natural images |
| #starting with a path to a single image (img_path) |
| importnumpyasnp |
| fromPILimportImage |
| fromsklearnimportpreprocessing |
| deff_whitening(img_path): |
| img=Image.open(open(img_path)) |
| img=np.asarray(img, dtype='uint8').transpose(2, 0, 1) |
| whitened= [] |
| foriiinrange(3):#loop over color channels |
| ch=img[ii] -img[ii].mean()#center the data |
| aa=np.fft.fft2(a) |
| spectr=np.sqrt(np.mean(np.dot(abs(aa),abs(aa)))) |
| out=np.fft.ifft2(np.dot(aa,1./spectr)) |
| whitened.append(preprocessing.scale(abs(out))) |
| returnnp.asarray(whitened) |
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commented Apr 9, 2020
Thanks for this gist! |
Jbed Zip Download
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