def image_blurrer():
    for f in os.listdir(BASE_DIR):
        # check if the files are image
        if f.endswith('.png' or '.jpg' or '.jpeg'):

            print("Working on : " + f)
            # Make the image object
            i = Image.open(BASE_DIR + f)
            # split the image name
            fname, fext = os.path.splitext(f)

            i.filter(ImageFilter.BLUR())
            i.save('{}image_blur/{}_blur_30{}'.format(BASE_DIR, fname, fext))

        else:
            print("cant work on : " + f)
Beispiel #2
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def calculate_fitness_blur_mean_difference(original_image, generated_image):
    if original_image.width != generated_image.width:
        print('FITNESS ERROR! Images are different.')

    # Calculate difference between two images
    original_image = ImageEnhance.Contrast(original_image).enhance(1.5)
    generated_image = ImageEnhance.Contrast(generated_image).enhance(1.5)
    difference = ImageChops.difference(original_image, generated_image)

    # Blur image
    difference = difference.filter(ImageFilter.BLUR())

    # Calculate average brightness of differential image, this tells us how similar those images are
    stats = ImageStat.Stat(difference)
    average_brightness = (stats.rms[0] + stats.rms[1] + stats.rms[2]) / 3

    # Return fitness value
    return (255 - average_brightness) / 255
Beispiel #3
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def blur(image: Image.Image) -> Image.Image:
    return _apply_filter(image, ImageFilter.BLUR())
Beispiel #4
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def blur_affine(img):

    img = img.filter(ImageFilter.BLUR(1))
    shear = transforms.RandomAffine(shear=0.2)

    return (sheat(img))