PYTHON

python cv2 read image grayscale

import cv2
im_gray = cv2.imread('grayscale_image.png', cv2.IMREAD_GRAYSCALE)

cv2 check if image is grayscale

from scipy.misc import imread, imsave, imresize
image = imread(f_name)
if(len(image.shape)<3):
      print 'gray'
elif len(image.shape)==3:
      print 'Color(RGB)'
else:
      print 'others'

opencv get image rgb or grayscale

import Image

def is_grey_scale(img_path):
    img = Image.open(img_path).convert('RGB')
    w, h = img.size
    for i in range(w):
        for j in range(h):
            r, g, b = img.getpixel((i,j))
            if r != g != b: 
                return False
    return True

detect grayscale image in python opencv

import cv2
file = "myFile.jpj"


image = cv2.imread(file)
if image.any() != None:
  if(len(image.shape)<2):
        print ('grayscale')
  elif len(image.shape)==3:
        print ('Colored')
else:
  print("cannot find image")  

convert image to grayscale in Python with OpenCV

 im_gray = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)