Python Deep Learning Projects

Masking/inserting noise

For the needs of this project, we need to simulate a dataset of incomplete digits. So, let's write a function to mask small regions in the original image to form the noised dataset.

The idea is to mask an 8*8 region of the image with the top-left corner of the mask falling between the 9^th and 13^th pixel (between index 8 and 12) along both the x and y axis of the image. This is to make sure that we are always masking around the center part of the image:

def noising(image):    array = np.array(image)    i = random.choice(range(8,12)) # x coordinate for the top left corner of the mask    j = random.choice(range(8,12)) # y coordinate for the top left corner of the mask    array[i:i+8, j:j+8]=-1.0 # setting the pixels in the masked ...