Processing an Image using Tensorflow

Question

I've a 15 images which are stored locally. How do I transform these images to a array using tensorflow for a CNN type of Classification?

Answer 1

Convert the image to numpy array format

import cv2
im = cv2.imread("some_image.tiff")

Reshape them to an arbitrary, but identical, size

def reshape(image_array):
    return np.reshape(image_array, [128, 128, 3])

Put them all in a list and then standardize them so they all have standardized pixel values using:

def per_image_standardization(arrays):
    sess = tf.InteractiveSession()
    standardized_tensors = tf.map_fn(lambda array:                            
        tf.image.per_image_standardization(array), 
                                           arrays)
    standardized_images = standardized_tensors.eval()
    return standardized_images