I have 1,000 RGB images (64X64) which I want to convert to an (m, n) array.

I use this:

import numpy as np
from skdata.mnist.views import OfficialImageClassification
from matplotlib import pyplot as plt
from PIL import Image                                                            
import glob
import cv2

x_data = np.array( [np.array(cv2.imread(imagePath[i])) for i in range(len(imagePath))] )
print x_data .shape

Which gives me: (1000, 64, 64, 3)

Now if I do:

pixels = x_data.flatten()
print pixels.shape

I get: (12288000,)

However, I require an array with these dimensions: (1000, 12288)

How can I achieve that?

I have 1,000 RGB images (64X64) which I want to convert to an (m, n) array.

I use this:

import numpy as np
from skdata.mnist.views import OfficialImageClassification
from matplotlib import pyplot as plt
from PIL import Image                                                            
import glob
import cv2

x_data = np.array( [np.array(cv2.imread(imagePath[i])) for i in range(len(imagePath))] )
print x_data.shape

Which gives me: (1000, 64, 64, 3)

Now if I do:

pixels = x_data.flatten()
print pixels.shape

I get: (12288000,)

However, I require an array with these dimensions: (1000, 12288)

How can I achieve that?