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Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>

digital_image_processing/convert_to_negative.py

@@ -1,8 +1,7 @@
 """
     Implemented an algorithm using opencv to convert a colored image into its negative
 """
-
-from cv2 import imread, imshow, waitKey, destroyAllWindows
+from cv2 import destroyAllWindows, imread, imshow, waitKey
 
 
 def convert_to_negative(img):

digital_image_processing/dithering/burkes.py

@@ -1,8 +1,8 @@
 """
 Implementation Burke's algorithm (dithering)
 """
-from cv2 import destroyAllWindows, imread, imshow, waitKey
 import numpy as np
+from cv2 import destroyAllWindows, imread, imshow, waitKey
 
 
 class Burkes:

digital_image_processing/edge_detection/canny.py

@@ -1,5 +1,6 @@
 import cv2
 import numpy as np
+
 from digital_image_processing.filters.convolve import img_convolve
 from digital_image_processing.filters.sobel_filter import sobel_filter
 

digital_image_processing/filters/bilateral_filter.py

@@ -9,11 +9,11 @@ Inputs:
 Output:
     img:A 2d zero padded image with values in between 0 and 1
 """
+import math
+import sys
 
 import cv2
 import numpy as np
-import math
-import sys
 
 
 def vec_gaussian(img: np.ndarray, variance: float) -> np.ndarray:

digital_image_processing/filters/convolve.py

@@ -1,8 +1,8 @@
 # @Author  : lightXu
 # @File    : convolve.py
 # @Time    : 2019/7/8 0008 下午 16:13
-from cv2 import imread, cvtColor, COLOR_BGR2GRAY, imshow, waitKey
-from numpy import array, zeros, ravel, pad, dot, uint8
+from cv2 import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
+from numpy import array, dot, pad, ravel, uint8, zeros
 
 
 def im2col(image, block_size):

digital_image_processing/filters/gaussian_filter.py

@@ -1,10 +1,11 @@
 """
 Implementation of gaussian filter algorithm
 """
-from cv2 import imread, cvtColor, COLOR_BGR2GRAY, imshow, waitKey
-from numpy import pi, mgrid, exp, square, zeros, ravel, dot, uint8
 from itertools import product
 
+from cv2 import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
+from numpy import dot, exp, mgrid, pi, ravel, square, uint8, zeros
+
 
 def gen_gaussian_kernel(k_size, sigma):
     center = k_size // 2

digital_image_processing/filters/median_filter.py

@@ -1,9 +1,8 @@
 """
 Implementation of median filter algorithm
 """
-
-from cv2 import imread, cvtColor, COLOR_BGR2GRAY, imshow, waitKey
-from numpy import zeros_like, ravel, sort, multiply, divide, int8
+from cv2 import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
+from numpy import divide, int8, multiply, ravel, sort, zeros_like
 
 
 def median_filter(gray_img, mask=3):

digital_image_processing/filters/sobel_filter.py

@@ -2,7 +2,8 @@
 # @File    : sobel_filter.py
 # @Time    : 2019/7/8 0008 下午 16:26
 import numpy as np
-from cv2 import imread, cvtColor, COLOR_BGR2GRAY, imshow, waitKey
+from cv2 import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
+
 from digital_image_processing.filters.convolve import img_convolve
 
 

digital_image_processing/histogram_equalization/histogram_stretch.py

@@ -6,10 +6,9 @@ Created on Fri Sep 28 15:22:29 2018
 import copy
 import os
 
-import numpy as np
-
 import cv2
-import matplotlib.pyplot as plt
+import numpy as np
+from matplotlib import pyplot as plt
 
 
 class contrastStretch:

digital_image_processing/resize/resize.py

@@ -1,6 +1,6 @@
 """ Multiple image resizing techniques """
 import numpy as np
-from cv2 import imread, imshow, waitKey, destroyAllWindows
+from cv2 import destroyAllWindows, imread, imshow, waitKey
 
 
 class NearestNeighbour:

digital_image_processing/rotation/rotation.py

@@ -1,6 +1,6 @@
-from matplotlib import pyplot as plt
-import numpy as np
 import cv2
+import numpy as np
+from matplotlib import pyplot as plt
 
 
 def get_rotation(

digital_image_processing/sepia.py

@@ -1,8 +1,7 @@
 """
     Implemented an algorithm using opencv to tone an image with sepia technique
 """
-
-from cv2 import imread, imshow, waitKey, destroyAllWindows
+from cv2 import destroyAllWindows, imread, imshow, waitKey
 
 
 def make_sepia(img, factor: int):

digital_image_processing/test_digital_image_processing.py

@@ -1,21 +1,21 @@
 """
 PyTest's for Digital Image Processing
 """
-
-import digital_image_processing.edge_detection.canny as canny
-import digital_image_processing.filters.gaussian_filter as gg
-import digital_image_processing.filters.median_filter as med
-import digital_image_processing.filters.sobel_filter as sob
-import digital_image_processing.filters.convolve as conv
-import digital_image_processing.change_contrast as cc
-import digital_image_processing.convert_to_negative as cn
-import digital_image_processing.sepia as sp
-import digital_image_processing.dithering.burkes as bs
-import digital_image_processing.resize.resize as rs
-from cv2 import imread, cvtColor, COLOR_BGR2GRAY
+from cv2 import COLOR_BGR2GRAY, cvtColor, imread
 from numpy import array, uint8
 from PIL import Image
 
+from digital_image_processing import change_contrast as cc
+from digital_image_processing import convert_to_negative as cn
+from digital_image_processing import sepia as sp
+from digital_image_processing.dithering import burkes as bs
+from digital_image_processing.edge_detection import canny as canny
+from digital_image_processing.filters import convolve as conv
+from digital_image_processing.filters import gaussian_filter as gg
+from digital_image_processing.filters import median_filter as med
+from digital_image_processing.filters import sobel_filter as sob
+from digital_image_processing.resize import resize as rs
+
 img = imread(r"digital_image_processing/image_data/lena_small.jpg")
 gray = cvtColor(img, COLOR_BGR2GRAY)