Develop Reference

Pycharm can't recognise moduls I just installed

I need to code a quick script for facial recognition. I imported the following modules (as seen in the picture below)
But pycharm says that there are no modules named face_recognition, cv2, unsolved reference path and imutils.
I don't know what the issue might be since I am super sure I installed opencv and face recognition on my laptop.
Thanks.
For example, I checked my current cv2 version and the result was this
import cv2
cv2. version
'4.7.0'

A problem regarding image handling on python

from skimage import io
photo=io.imread('myimage.jpg')
print(type(photo))
photo.shape
print(photo.shape)
import matplotlib.pyplot as plt
plt.imshow(photo)
This is my code on my editor. I don't use anacona distribution or jupyter notebook. print(type(photo)) and print(photo.shape) lines works but plt.imshow(photo) doesn't.How to fix it? Though ,I have installed those necessary modules and packeges.
My second question , is there another python distribution which is so efficient like anaconda.

cv2 Module not Found Even though I downloaded it

I am currently in PyCharm and I have the following line of code:
import cv2
Nonetheless, it gives me the error No module named cv2
I went to Preferences > Project Interpreter > + then found and downloaded cv2 just fine. In the Project Interpreter it lists cv2 as installed. I am not sure why it still shows that the module doesn't exist. Is there some way to download cv2 via command line. I am on OS X 10.10.
Here is the code I have so far (all the other imports work just fine):
# Program for OCR
import numpy as np
import cv2
from matplotlib import pyplot as plt

I find that sometimes after installing a module in PyCharm it requires a restart in order for it to work. Also, if you do want to do it in the command line, try pip3 install cv2.

To detect digits from an image using cv2 and python

I am trying to detect digits located inside a grid and to tell their positions in an image and don't know where to start. So any help is welcome. So far I have used GT Text software but it didn't solve the purpose. Any helper function, libraries, tutorials, links or anything is welcome.

You should check out the pytesseract module:
https://pypi.python.org/pypi/pytesseract/0.1
It has a one-liner for what you're trying to do:
try:
import Image
except ImportError:
from PIL import Image
import pytesseract as tes
results = tes.image_to_string(Image.open('test.png'),boxes=True)
This will give you results, which has each digit and the image coordinates of its bounding box.
You will need to install PIL (python image library, pip install PIL) and the tesseract c library (brew install tesseract if you have homebrew..) so it's not super trivial but once you have it working, this is the most straight forward OCR in python, and requires no training whatsoever.

How to find GLCM matrix in python?

We are using Python 2.7.9.and scikit image library. We are not able to use skimage.feature.greycomatrix because there is no file such as greycomatrix.py in the feature folder. Their documentation seems to be wrong as it says this function is available. We get an error module attribute has no object feature. Is there any other image processing library in Python which will help us achieve this goal?

from skimage.feature import greycomatrix
This works for me, just like the instructions at http://scikit-image.org/docs/dev/auto_examples/plot_glcm.html.
Maybe you just have an old version and need to update scikit-image? Or if it was actually a bug on their behalf they have probably fixed it now.
Which version of scikit-image do you have? That is more relevant for this problem than your Python version. For me:
import skimage
print skimage.__version__
'0.11.2'
So for version 0.11.2 up atleast it should work.

In my case I use the following imports and it works for me.
I say
import skimage.feature as sk
##Then I say
glcm = sk.greycomatrix(img, [1],[0])
This should work fine.