scipy.misc module has no attribute imread?

I am trying to read an image with scipy. However it does not accept the scipy.misc.imread part. What could be the cause of this?

>>> import scipy
>>> scipy.misc
<module 'scipy.misc' from 'C:Python27libsite-packagesscipymisc__init__.pyc'>
>>> scipy.misc.imread('test.tif')
Traceback (most recent call last):
  File "<pyshell#11>", line 1, in <module>
    scipy.misc.imread('test.tif')
AttributeError: 'module' object has no attribute 'imread'

Answers:

Thank you for visiting the Q&A section on Magenaut. Please note that all the answers may not help you solve the issue immediately. So please treat them as advisements. If you found the post helpful (or not), leave a comment & I’ll get back to you as soon as possible.

Method 1

imread is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.
Use imageio.imread instead.

import imageio
im = imageio.imread('astronaut.png')
im.shape  # im is a numpy array
(512, 512, 3)
imageio.imwrite('imageio:astronaut-gray.jpg', im[:, :, 0])

Method 2

You need to install Pillow (formerly PIL). From the docs on scipy.misc:

Note that Pillow is not a dependency of SciPy but the image manipulation functions indicated in the list below are not available without it:

…

imread

…

After installing Pillow, I was able to access imread as follows:

In [1]: import scipy.misc

In [2]: scipy.misc.imread
Out[2]: <function scipy.misc.pilutil.imread>

Method 3

imread is depreciated after version 1.2.0!
So to solve this issue I had to install version 1.1.0.

pip install scipy==1.1.0

Method 4

For Python 3, it is best to use imread in matplotlib.pyplot:

from matplotlib.pyplot import imread

Method 5

In case anyone encountering the same issue, please uninstall scipy and install scipy==1.1.0

$ pip uninstall scipy

$ pip install scipy==1.1.0

Method 6

As answered misc.imread is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.
imageio is one option,it will return object of type :

<class 'imageio.core.util.Image'>

but instead of imageio, use cv2

import cv2
im = cv2.imread('astronaut.png')

im will be of type :
<class 'numpy.ndarray'>

As numpy arrays are faster to compute.

Method 7

You need the Python Imaging Library (PIL) but alas! the PIL project seems to have been abandoned. In particular, it hasn’t been ported to Python 3. So if you want PIL functionality in Python 3, you’ll do well do use Pillow, which is the semi-official fork of PIL and appears to be actively developed. Actually, if you need a modern PIL implementation at all I’d recommend Pillow. It’s as simple as pip install pillow. As it uses the same namespace as PIL it’s essentially a drop-in replacement.

How “semi-official” is this fork? you may ask. The About page of the Pillow docs say this:

As more time passes since the last PIL release, the likelihood of a
new PIL release decreases. However, we’ve yet to hear an official “PIL
is dead” announcement. So if you still want to support PIL, please
report issues here first, then open corresponding Pillow tickets here.

Please provide a link to the first ticket so we can track the issue(s)
upstream.

However, the most recent PIL release on the official PIL site is dated November 15, 2009. I think we can safely proclaim Pillow as the successor of PIL after (as of this writing) nearly eight years of no new releases. So even if you don’t need Python 3 support, I suggest you eschew the ancient PIL 1.1.6 distribution available in PyPI and just install fresh, up-to-date, compatible Pillow.

Method 8

Install the Pillow library by following commands:

pip install pillow

Note, the selected answer has been outdated. See the docs of
SciPy

Note that Pillow (https://python-pillow.org/) is not a dependency of SciPy, but the image manipulation functions indicated in the list below are not available without it.

Method 9

Imread uses PIL library, if the library is installed use :

from scipy.ndimage import imread

Source: http://docs.scipy.org/doc/scipy-0.17.0/reference/generated/scipy.ndimage.imread.html

Method 10

python -m pip install pillow

This worked for me.

Method 11

You need a python image library (PIL), but now PIL only is not enough, you’d better install Pillow. This works well.

Method 12

Running the following in a Jupyter Notebook, I had a similar error message:

from skimage import data
photo_data = misc.imread('C:/Users/ers.jpg')
type(photo_data)

‘error’ msg:

D:Program Files (x86)Microsoft Visual
StudioSharedAnaconda3_64libsite-packagesipykernel_launcher.py:3:
DeprecationWarning: imread is deprecated! imread is deprecated in
SciPy 1.0.0, and will be removed in 1.2.0. Use imageio.imread
instead. This is separate from the ipykernel package so we can avoid
doing imports until

And using the following I got it solved:

import matplotlib.pyplot
photo_data = matplotlib.pyplot.imread('C:/Users/ers.jpg')
type(photo_data)

Method 13

I have all the packages required for the image extraction on jupyter notebook, but even then it shows me the same error.

Error on Jupyter Notebook

Reading the above comments, I have installed the required packages. Please do tell if I have missed some packages.

pip3 freeze | grep -i -E "pillow|scipy|scikit-image"
Pillow==5.4.1
scikit-image==0.14.2

scipy==1.2.1

Method 14

The solution that work for me in python 3.6 is the following

py -m pip install Pillow

Method 15

The only way I could get the .png file I’m working with in as uint8 was with OpenCv.

cv2.imread(file) actually returned numpy.ndarray with dtype=uint8

Method 16

You must first install the Python version compatible with scipy (<3.7).
I could not use pip to install scipy version 1.0 [ I think this version is no longer supported on pip] and used conda instead:

conda install -c anaconda scipy==1.0

Then to use “imread” you need to install Pillow.

pip install pillow

Method 17

imread is deprecated in scipy.misc; use imageio.imread instead.

imageio provides the same functionality as Scipy. But keep in mind that some arguments need to be changed (for detailed information please check here):

1. Instead of mode, use the pilmode keyword argument.
2. Instead of flatten, use the as_gray keyword argument.

Method 18

One way is to use PIL like this:

    from PIL import Image
    input_image = Image.open(filename)

All methods was sourced from stackoverflow.com or stackexchange.com, is licensed under cc by-sa 2.5, cc by-sa 3.0 and cc by-sa 4.0