Importing PNG files into Numpy?

Question

I have about 200 grayscale PNG images stored within a directory like this.

1.png 2.png 3.png ... ... 200.png 

I want to import all the PNG images as NumPy arrays. How can I do this?

Answer 1

According to the doc, scipy.misc.imread is deprecated starting SciPy 1.0.0, and will be removed in 1.2.0. Consider using imageio.imread instead.

Example:

import imageio  im = imageio.imread('my_image.png') print(im.shape) 

You can also use imageio to load from fancy sources:

im = imageio.imread('http://upload.wikimedia.org/wikipedia/commons/d/de/Wikipedia_Logo_1.0.png') 

Edit:

To load all of the *.png files in a specific folder, you could use the glob package:

import imageio import glob  for im_path in glob.glob("path/to/folder/*.png"):      im = imageio.imread(im_path)      print(im.shape)      # do whatever with the image here 

Answer 2

Using just scipy, glob and having PIL installed (pip install pillow) you can use scipy's imread method:

from scipy import misc import glob  for image_path in glob.glob("/home/adam/*.png"):     image = misc.imread(image_path)     print image.shape     print image.dtype 

UPDATE

According to the doc, scipy.misc.imread is deprecated starting SciPy 1.0.0, and will be removed in 1.2.0. Consider using imageio.imread instead. See the answer by Charles.