Converting uint8 array to image

Question

I am trying to convert a uint8 array of a 48x48 image to its corresponding 48x48 image file (jpg/jpeg/gif). I tried converting the array contents to first binary and then wrote ('wb' mode) it to a file, but that did not work out.

Is there a way I can accomplish this?

You could convert numpy array to PIL.image and then use "save" method to encode it into jpg — Yaroslav Bulatov
– Yaroslav Bulatov, Commented Mar 5, 2016 at 8:08
@Yaroslav Yup there is a way to do this using the PIL library kaggle.com/c/… — serpent403
– serpent403, Commented Mar 5, 2016 at 8:30

mrry · Accepted Answer · 2016-03-05 06:58:37Z

3

If you are producing the image in TensorFlow (as I'm inferring from your tag), you can use the tf.image.encode_jpeg() or tf.image.encode_png() ops to encode a uint8 tensor as an image:

uint8_data = ...
image_data = tf.image.encode_png(uint8_data)

The result of either op is a tf.string tensor that you can evaluate and write out to a file.

answered Mar 5, 2016 at 6:58

mrry

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serpent403 Over a year ago

Thanks @mrry! Btw I found a way to do this using the PIL python library kaggle.com/c/…

Aleksei Matiushkin · Accepted Answer · 2016-03-05 06:44:15Z

1

I was able to the same very easily using Octave. Here i have tried to generate a random matrix of 48x48 and then i saved the image as jpg format.

img = rand(48,48);
imwrite(img, "test.jpg")

You can save any type of image with this approach.

If you can give some more details about what you want to achieve. Do u need to do it just once or u need it as part of program.

Hope that helped.

edited Mar 5, 2016 at 6:44

Aleksei Matiushkin

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answered Mar 5, 2016 at 6:13

Mayank

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