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62 lines
2.1 KiB
62 lines
2.1 KiB
2 years ago
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import cv2
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import numpy as np
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class logicalAlgorithm:
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def __init__(self, img_path1, img_path2):
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self.path1 = img_path1
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self.path2 = img_path2
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def alAnd(self):
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x = cv2.imread(self.path1, 1)
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y = cv2.imread(self.path2, 1)
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rows, cols = x.shape[:2]
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y_dst = cv2.resize(y, (cols, rows), interpolation=cv2.INTER_CUBIC)
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result = (x & y_dst)
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cv2.imwrite("saved Img/And.bmp", result)
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def alOr(self):
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x = cv2.imread(self.path1, 1)
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y = cv2.imread(self.path2, 1)
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rows, cols = x.shape[:2]
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y_dst = cv2.resize(y, (cols, rows), interpolation=cv2.INTER_CUBIC)
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result = (x | y_dst)
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cv2.imwrite("saved Img/Or.bmp", result)
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def alNegation(self):
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x = cv2.imread(self.path1, 1)
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result = (~x)
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cv2.imwrite("saved Img/Negation.bmp", result)
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def alAdd(self):
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x = cv2.imread(self.path1, 1)
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y = cv2.imread(self.path2, 1)
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rows, cols = x.shape[:2]
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y_dst = cv2.resize(y, (cols, rows), interpolation=cv2.INTER_CUBIC)
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result = cv2.add(x, y_dst)
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cv2.imwrite("saved Img/Add.bmp", result)
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def alSubtract(self):
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x = cv2.imread(self.path1, 1)
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y = cv2.imread(self.path2, 1)
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rows, cols = x.shape[:2]
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y_dst = cv2.resize(y, (cols, rows), interpolation=cv2.INTER_CUBIC)
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result = cv2.subtract(x, y_dst)
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cv2.imwrite("saved Img/Subtract.bmp", result)
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def alMulty(self):
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x = cv2.imread(self.path1, 1).astype(np.float64)/255
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y = cv2.imread(self.path2, 1).astype(np.float64)/255
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rows, cols = x.shape[:2]
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y_dst = cv2.resize(y, (cols, rows), interpolation=cv2.INTER_CUBIC)
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result = cv2.multiply(x, y_dst) * 255
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cv2.imwrite("saved Img/Multiply.bmp", result)
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def alDivide(self):
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x = cv2.imread(self.path1, 1).astype(np.float64)/255
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y = cv2.imread(self.path2, 1).astype(np.float64)/255
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rows, cols = x.shape[:2]
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y_dst = cv2.resize(y, (cols, rows), interpolation=cv2.INTER_CUBIC)
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result = cv2.divide(x, y_dst) * 255
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cv2.imwrite("saved Img/Divide.bmp", result)
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