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- from ipfml import processing, metrics
- from PIL import Image
- from skimage import color
- import numpy as np
- def get_svd_data(data_type, block):
- """
- Method which returns the data type expected
- """
- if data_type == 'lab':
- block_file_path = '/tmp/lab_img.png'
- block.save(block_file_path)
- data = processing.get_LAB_L_SVD_s(Image.open(block_file_path))
- if data_type == 'mscn_revisited':
- img_mscn_revisited = processing.rgb_to_mscn(block)
- # save tmp as img
- img_output = Image.fromarray(img_mscn_revisited.astype('uint8'), 'L')
- mscn_revisited_file_path = '/tmp/mscn_revisited_img.png'
- img_output.save(mscn_revisited_file_path)
- img_block = Image.open(mscn_revisited_file_path)
- # extract from temp image
- data = metrics.get_SVD_s(img_block)
- if data_type == 'mscn':
- img_gray = np.array(color.rgb2gray(np.asarray(block))*255, 'uint8')
- img_mscn = processing.calculate_mscn_coefficients(img_gray, 7)
- img_mscn_norm = processing.normalize_2D_arr(img_mscn)
- img_mscn_gray = np.array(img_mscn_norm*255, 'uint8')
- data = metrics.get_SVD_s(img_mscn_gray)
- if data_type == 'low_bits_6':
- low_bits_6 = processing.rgb_to_LAB_L_low_bits(block, 6)
- data = metrics.get_SVD_s(low_bits_6)
- if data_type == 'low_bits_5':
- low_bits_5 = processing.rgb_to_LAB_L_low_bits(block, 5)
- data = metrics.get_SVD_s(low_bits_5)
- if data_type == 'low_bits_4':
- low_bits_4 = processing.rgb_to_LAB_L_low_bits(block, 4)
- data = metrics.get_SVD_s(low_bits_4)
- if data_type == 'low_bits_3':
- low_bits_3 = processing.rgb_to_LAB_L_low_bits(block, 3)
- data = metrics.get_SVD_s(low_bits_3)
- if data_type == 'low_bits_2':
- low_bits_2 = processing.rgb_to_LAB_L_low_bits(block, 2)
- data = metrics.get_SVD_s(low_bits_2)
- if data_type == 'low_bits_4_shifted_2':
- data = metrics.get_SVD_s(processing.rgb_to_LAB_L_bits(block, (3, 6)))
- return data
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