Using Global Contrast Normalization - Python pylearn2 -

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im attempting input image method, when try draw image, comes totally black.

i tried inputing 1 image , inputing whole mnist dataset. same result.

https://github.com/lisa-lab/pylearn2/blob/master/pylearn2/expr/preprocessing.py

if gcn true:     trainingfolder = "../inputdata/converted_training/gcn/"     testingfolder = "../inputdata/converted_testing/gcn/"      img0 = (data[1,1:]).reshape((28,28)).astype('uint8')*255     im = image.fromarray(img0)     im.show()      #gcn#     img_gcn = global_contrast_normalize(data)     img_gcn_1 = image.fromarray(img_gcn[1,1:].reshape((28,28)).astype('uint8')*255)     img_gcn_1.show()

the second image, img_gcn_1 comes blacked.

what doing wrong?

have tried visualize image without multiplying 255? i.e.,

import matplotlib.pyplot plt  img = img_gcn[:, 0] img = img.reshape(28, 28, order='f')     plt.imshow(img, cmap=plt.get_cmap('gray'))

i think procedure should work.


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