load_own_image.py

import imageio
import glob
import csv
import numpy

# our own image test data set
our_own_dataset = []

for image_file_name in glob.glob('my_own_images/my_own_?.png'):
    print ("loading ... ", image_file_name)
    # use the filename to set the correct label
    label = int(image_file_name[-5:-4])
    # load image data from png files into an array
    img_array = imageio.imread(image_file_name, as_gray=True)
    # reshape from 28x28 to list of 784 values, invert values
    img_data  = 255.0 - img_array.reshape(784)
    # then scale data to range from 0.01 to 1.0
    # img_data = (img_data / 255.0 * 0.99) + 0.01
    # print(numpy.min(img_data))
    # print(numpy.max(img_data))
    # append label and image data  to test data set
    record = numpy.append(label,img_data)
    # print(record)
    our_own_dataset.append(record)
    pass

with open('my_own_images/my_own_dataset.csv','a',newline='') as f:
    writer = csv.writer(f)
    for data in our_own_dataset:
        print(data)
        writer.writerow(data)