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- from ipfml import processing, utils
- from skimage import transform
- import numpy as np
- import matplotlib.pyplot as plt
- import os
- from PIL import Image
- data_folder = "../fichiersSVD_light"
- scene = 'Cuisine01'
- mean_svd_values = []
- indices = ["00050", "00300", "01200"]
- id_block = 10
- def get_block_image(image_path):
- image = Image.open(image_path)
- blocks = processing.divide_in_blocks(image, (200, 200))
- return blocks[id_block]
- for index in indices:
- path = os.path.join(data_folder, scene + '/cuisine01_' + index + '.png')
- img_block = get_block_image(path)
- img_block.save(scene + '_' + str(index) + '_' + str(id_block) + '.png')
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