[python] Convert a tensor to numpy array in Tensorflow?

You need to:

  1. encode the image tensor in some format (jpeg, png) to binary tensor
  2. evaluate (run) the binary tensor in a session
  3. turn the binary to stream
  4. feed to PIL image
  5. (optional) displaythe image with matplotlib

Code:

import tensorflow as tf
import matplotlib.pyplot as plt
import PIL

...

image_tensor = <your decoded image tensor>
jpeg_bin_tensor = tf.image.encode_jpeg(image_tensor)

with tf.Session() as sess:
    # display encoded back to image data
    jpeg_bin = sess.run(jpeg_bin_tensor)
    jpeg_str = StringIO.StringIO(jpeg_bin)
    jpeg_image = PIL.Image.open(jpeg_str)
    plt.imshow(jpeg_image)

This worked for me. You can try it in a ipython notebook. Just don't forget to add the following line:

%matplotlib inline

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