refactoring
This commit is contained in:
parent
c567ba6273
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217
lab2_1/lab2_1.py
217
lab2_1/lab2_1.py
@ -1,65 +1,51 @@
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import os
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import sys
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import traceback
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import cv2
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import numpy as np
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from matplotlib import pyplot as plt
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def menu():
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print("Выберите пункт меню:\n1.Linear filter\n2.Blur\n3.Median blur\n4.GaussianBlur\n5.Erode")
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print("6.Dilate\n7.MORPH_OPERATIONS\n8.Sobel\n9.Laplacian\n10.Canny\n11.CalcHist\n12.EqualizeHist")
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print("13.Save\n14.Add Figure\n15.Del Figure\n16.Exit")
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SOURCE_IMAGE = "test.jpg"
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def main():
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image1 = cv2.imread("D:\\MACH\\LAB_2\\image0.jpg")
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image2 = image1.copy()
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im = image1.copy()
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while True:
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menu()
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try:
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s = int(input())
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if s == 1:
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image2 = image1.copy()
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def filter_linear(image):
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kernel = np.array([[-0.1, 0.2, -0.1], [0.2, 3.0, 0.2], [-0.1, 0.2, -0.1]])
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image2 = cv2.filter2D(image2, -1, kernel)
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cv2.imshow("Image_load", image1)
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cv2.imshow("Result_Image", image2)
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cv2.waitKey(0)
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if s == 2:
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image2 = image1.copy()
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image2 = cv2.blur(image2, (5, 5))
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cv2.imshow("Image_load", image1)
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cv2.imshow("Result_Image", image2)
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cv2.waitKey(0)
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if s == 3:
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image2 = image1.copy()
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image2 = cv2.medianBlur(image2, 5)
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cv2.imshow("Image_load", image1)
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cv2.imshow("Result_Image", image2)
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cv2.waitKey(0)
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if s == 4:
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image2 = image1.copy()
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image2 = cv2.GaussianBlur(image2, (9, 9), cv2.BORDER_DEFAULT)
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cv2.imshow("Image_load", image1)
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cv2.imshow("Result_Image", image2)
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cv2.waitKey(0)
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if s == 5:
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image2 = image1.copy()
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image2 = cv2.erode(image2, np.ones((11, 11)))
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cv2.imshow("Image_load", image1)
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cv2.imshow("Result_Image", image2)
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cv2.waitKey(0)
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if s == 6:
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image2 = image1.copy()
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image2 = cv2.dilate(image2, np.ones((11, 11)))
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cv2.imshow("Image_load", image1)
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cv2.imshow("Result_Image", image2)
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cv2.waitKey(0)
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if s == 7:
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image2 = image1.copy()
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cv2.imshow("Исходное изображение", image)
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cv2.imshow("Результат", cv2.filter2D(image.copy(), -1, kernel))
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def filter_blur(image):
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cv2.imshow("Исходное изображение", image)
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cv2.imshow("Результат", cv2.blur(image.copy(), (5, 5)))
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def filter_median_blur(image):
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cv2.imshow("Исходное изображение", image)
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cv2.imshow("Результат", cv2.medianBlur(image.copy(), 5))
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def filter_gauss_blur(image):
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cv2.imshow("Исходное изображение", image)
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cv2.imshow("Результат", cv2.GaussianBlur(image.copy(), (9, 9), cv2.BORDER_DEFAULT))
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def filter_erode(image):
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cv2.imshow("Исходное изображение", image)
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cv2.imshow("Результат", cv2.erode(image.copy(), np.ones((11, 11))))
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def filter_dilate(image):
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cv2.imshow("Исходное изображение", image)
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cv2.imshow("Результат", cv2.dilate(image.copy(), np.ones((11, 11))))
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def filter_morph(image):
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# TODO переписать
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image2 = image.copy()
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image3 = cv2.cvtColor(image2, cv2.COLOR_BGR2GRAY)
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cv2.imshow("Image_load", image1)
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cv2.imshow("Image_load", image)
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kernel = np.ones((6, 6), np.uint8)
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image3 = cv2.morphologyEx(image3, cv2.MORPH_OPEN, kernel, iterations=1)
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cv2.imshow("MORPH_OPEN", image3)
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@ -76,86 +62,101 @@ def main():
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image3 = cv2.morphologyEx(image3, cv2.MORPH_BLACKHAT, kernel, iterations=1)
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cv2.imshow("MORPH_BLACKHAT", image3)
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image3 = cv2.cvtColor(image2, cv2.COLOR_BGR2GRAY)
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cv2.waitKey(0)
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if s == 8:
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image2 = image1.copy()
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def filter_sobel(image):
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image2 = image.copy()
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image3 = cv2.cvtColor(image2, cv2.COLOR_BGR2GRAY)
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image3 = cv2.GaussianBlur(image3, (3, 3), 0)
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im3 = cv2.Sobel(image3, cv2.CV_64F, 1, 0, ksize=5)
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im4 = cv2.Sobel(image3, cv2.CV_64F, 0, 1, ksize=5)
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im5 = cv2.Sobel(image3, cv2.CV_8UC1, 0, 1, ksize=5)
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cv2.imshow("Image_load", image1)
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cv2.imshow("Image_load", image)
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cv2.imshow("Result_Image_X", im3) # x
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cv2.imshow("Result_Image_Y", im4) # y
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cv2.imshow("Result_Gradient", im5) # gradient
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cv2.waitKey(0)
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if s == 9:
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image2 = image1.copy()
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def filter_laplacian(image):
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image2 = image.copy()
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image3 = cv2.cvtColor(image2, cv2.COLOR_RGB2GRAY)
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image3 = cv2.GaussianBlur(image3, (3, 3), 0)
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im3 = cv2.Laplacian(image3, cv2.CV_64F)
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cv2.imshow("Image_load", image1)
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cv2.imshow("Result_Image", im3) # x
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cv2.waitKey(0)
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if s == 10:
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image2 = image1.copy()
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image3 = cv2.cvtColor(image2, cv2.COLOR_RGB2GRAY)
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cv2.imshow("Image_load", image)
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cv2.imshow("Result_Image", im3)
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def filter_canny(image):
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image2 = image.copy()
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image3 = cv2.blur(image2, (5, 5))
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image3 = cv2.Canny(image3, 100, 100)
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cv2.imshow("Image_load", image1)
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cv2.imshow("Result_Image", image3) # x
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cv2.waitKey(0)
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if s == 11:
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image2 = image1.copy()
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cv2.imshow("Image_load", image)
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cv2.imshow("Result_Image", image3)
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def filter_calc_hist(image):
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image2 = image.copy()
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color = ('b', 'g', 'r')
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cv2.imshow("Image_load", image1)
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cv2.imshow("Image_load", image)
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for i, col in enumerate(color):
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histr = cv2.calcHist([image2], [i], None, [256], [0, 256])
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plt.plot(histr, color=col)
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plt.xlim([0, 256])
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plt.show()
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plt.close()
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cv2.waitKey(0)
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if s == 12:
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image2 = image1.copy()
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image2 = cv2.cvtColor(image2, cv2.COLOR_RGB2GRAY)
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image2 = cv2.equalizeHist(image2)
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cv2.imshow("Image_load", image1)
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cv2.imshow("Result_Image", image2)
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cv2.waitKey(0)
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if s == 13:
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cv2.imshow("Image_load", image1)
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cv2.imshow("Result_Image", image2)
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cv2.imwrite("D:\\im1.jpg", image1)
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cv2.imwrite("D:\\im2.jpg", image2)
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cv2.waitKey(0)
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if s == 14:
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image2 = image1.copy()
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cv2.imshow("Image_load", image1)
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image2 = cv2.line(image2, (15, 15), (270, 270), (76, 187, 23), 10) # линия
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image2 = cv2.rectangle(image2, (20, 20), (100, 100), (0, 0, 255), 10) # нарисуем четырехугольник
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image2 = cv2.circle(image2, (100, 100), 40, (0, 255, 0), 10) # нарисуем круг
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cv2.imshow("Result_Image", image2)
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image1 = image2
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cv2.waitKey(0)
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if s == 15:
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cv2.imwrite("1.jpg", im)
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cv2.imwrite("2.jpg", image1)
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img = cv2.imread("1.jpg")
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mask = cv2.imread("2.jpg", 0)
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res = cv2.bitwise_and(img, img, mask=mask)
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image2 = res.copy()
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image1 = res.copy()
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cv2.imshow("Result_Image", res)
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def filter_equalize_hist(image):
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cv2.imshow("Исходное изображение", image)
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cv2.imshow("Результат", cv2.equalizeHist(cv2.cvtColor(image.copy(), cv2.COLOR_RGB2GRAY)))
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functions_list = {
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"lf": {"func": filter_linear, "help": "Linear filter"},
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"bl": {"func": filter_blur, "help": "Blur"},
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"mb": {"func": filter_median_blur, "help": "Median blur"},
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"gb": {"func": filter_gauss_blur, "help": "GaussianBlur"},
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"er": {"func": filter_erode, "help": "Erode"},
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"di": {"func": filter_dilate, "help": "Dilate"},
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"mo": {"func": filter_morph, "help": "MORPH_OPERATIONS"},
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"so": {"func": filter_sobel, "help": "Sobel"},
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"la": {"func": filter_laplacian, "help": "Laplacian"},
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"ca": {"func": filter_canny, "help": "Canny"},
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"cl": {"func": filter_calc_hist, "help": "CalcHist"},
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"eh": {"func": filter_equalize_hist, "help": "EqualizeHist"},
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"q": {"func": lambda image: sys.exit(0), "help": "Exit"},
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}
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def print_help():
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print("Доступные функции:")
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for k in functions_list:
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print(f" {k} - {functions_list[k]['help']}")
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def main():
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image1 = cv2.imread(SOURCE_IMAGE)
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while True:
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try:
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cmd = input(">> ")
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if cmd == "":
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continue
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elif cmd == "?":
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print_help()
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else:
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if cmd in functions_list:
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try:
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functions_list[cmd]["func"](image=image1.copy())
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cv2.waitKey(0)
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os.remove("1.jpg")
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os.remove("2.jpg")
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if s == 16:
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cv2.destroyAllWindows()
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sys.exit(0)
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except ValueError:
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print("Неверный пункт меню!!!! Выберите другое!")
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except Exception:
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print("Произошла ошибка при выполнении функции")
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traceback.print_exc()
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else:
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print("Функция не найдена! введите '?' для получения справки")
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except Exception:
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traceback.print_exc()
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if __name__ == "__main__":
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BIN
lab2_1/test.jpg
Normal file
BIN
lab2_1/test.jpg
Normal file
Binary file not shown.
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After Width: | Height: | Size: 110 KiB |
@ -2,12 +2,16 @@ import sys
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import cv2
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import numpy
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from PyQt5.QtGui import QImage, QPixmap
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from PyQt5.QtWidgets import QWidget, QApplication, QLabel, QVBoxLayout, QHBoxLayout, QPushButton, QFileDialog,QComboBox,QMessageBox
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from PyQt5.QtWidgets import QWidget, QApplication, QLabel, QVBoxLayout, QHBoxLayout, QPushButton, QFileDialog, \
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QComboBox, QMessageBox
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from PyQt5.QtCore import Qt
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from matplotlib import pyplot as plt
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class Example(QWidget):
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def __init__(self):
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super().__init__()
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self.image2 = None
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self.image = None
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self.label = QLabel()
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self.initUI()
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@ -22,7 +26,6 @@ class Example(QWidget):
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btn_procesar = QPushButton('Сохранить изображение')
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btn_procesar.clicked.connect(self.saveImage)
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f = open("Operate.txt", "r")
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attr = f.read().splitlines()
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f.close()
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@ -43,7 +46,8 @@ class Example(QWidget):
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self.show()
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def openImage(self):
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self.filename, _ = QFileDialog.getOpenFileName(None, 'Buscar Imagen', '.', 'Image Files (*.png *.jpg *.jpeg *.bmp)')
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self.filename, _ = QFileDialog.getOpenFileName(None, 'Buscar Imagen', '.',
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'Image Files (*.png *.jpg *.jpeg *.bmp)')
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if self.filename:
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with open(self.filename, "rb") as file:
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data = numpy.array(bytearray(file.read()))
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@ -51,16 +55,11 @@ class Example(QWidget):
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self.mostrarImagen(self.image)
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self.image2 = self.image
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def saveImage(self):
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filename = QFileDialog.getSaveFileName(self, "QFileDialog.getSaveFileName()", "", "Image Files (*.jpg)")
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img = self.image2
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cv2.imwrite(filename[0], img)
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def mostrarImagen(self, s):
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size = s.shape
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step = s.size / size[0]
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@ -75,7 +74,6 @@ class Example(QWidget):
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self.label.setPixmap(QPixmap.fromImage(img))
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self.resize(self.label.pixmap().size())
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def combobox(self, index):
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if index == 0:
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self.i0()
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@ -120,7 +118,6 @@ class Example(QWidget):
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if index == 20:
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self.i20()
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def i0(self):
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self.image2 = self.image
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self.mostrarImagen(self.image)
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@ -131,13 +128,11 @@ class Example(QWidget):
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self.image2 = cv2.filter2D(self.image2, -1, kernel)
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self.mostrarImagen(self.image2)
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def i2(self):
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self.image2 = self.image
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self.image2 = cv2.blur(self.image2, (5, 5))
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self.mostrarImagen(self.image2)
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def i3(self):
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self.image2 = self.image
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self.image2 = cv2.medianBlur(self.image2, 5)
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@ -188,7 +183,6 @@ class Example(QWidget):
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self.image2 = cv2.morphologyEx(self.image2, cv2.MORPH_BLACKHAT, kernel, iterations=1)
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self.mostrarImagen(self.image2)
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def i12(self):
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self.image2 = self.image
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self.image2 = cv2.cvtColor(self.image2, cv2.COLOR_BGR2GRAY)
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@ -233,7 +227,6 @@ class Example(QWidget):
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plt.xlim([0, 256])
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plt.show()
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def i18(self):
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self.image2 = self.image
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self.image2 = cv2.cvtColor(self.image2, cv2.COLOR_RGB2GRAY)
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@ -265,6 +258,7 @@ class Example(QWidget):
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else:
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event.ignore()
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if __name__ == '__main__':
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app = QApplication(sys.argv)
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win = Example()
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42
lab4/lab4.py
42
lab4/lab4.py
@ -1,32 +1,22 @@
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#import numpy as np
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#import cv2
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#img = cv2.imread("D:\MACH\LAB_4\crocodile\image_0001.jpg")
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#gray= cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
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#sift = cv2.SIFT_create()
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#kp = sift.detect(gray,None)
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#img=cv2.drawKeypoints(gray,kp,img)
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#cv2.imshow("R",img)
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#cv2.waitKey(0)
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#cv2.destroyAllWindows()
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import random
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import sys
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import cv2
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import numpy as np
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import random
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import math
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from PyQt5.QtCore import Qt
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from sklearn.ensemble import RandomForestClassifier
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from sklearn.metrics import accuracy_score
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from PyQt5.QtGui import QImage, QPixmap
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from PyQt5.QtWidgets import (QWidget, QApplication, QLabel, QVBoxLayout, QHBoxLayout, QPushButton,
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QFileDialog,QComboBox,QMessageBox,QTextBrowser)
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from PyQt5.QtCore import Qt
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class Example(QWidget):
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def __init__(self):
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super().__init__()
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self.image = None
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self.textbrowser = QTextBrowser()
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self.initUI()
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def initUI(self):
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self.btn_open = QPushButton('Изображения folder1')
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self.btn_open.clicked.connect(self.openImages1)
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@ -34,11 +24,9 @@ class Example(QWidget):
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self.btn_open1 = QPushButton('Изображения folder2')
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self.btn_open1.clicked.connect(self.openImages2)
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self.btn_ = QPushButton('Обучить и создать матрицы')
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self.btn_.clicked.connect(self.matrix_and_train)
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self.btn1 = QPushButton('Детектировать тестовые изображения')
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self.btn1.clicked.connect(self.detect_image)
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@ -49,7 +37,6 @@ class Example(QWidget):
|
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self.btn1.setVisible(False)
|
||||
self.btn2.setVisible(False)
|
||||
|
||||
|
||||
top_bar = QHBoxLayout()
|
||||
top_bar.addWidget(self.btn_open)
|
||||
top_bar.addWidget(self.btn_open1)
|
||||
@ -64,7 +51,6 @@ class Example(QWidget):
|
||||
self.spisok2 = list()
|
||||
self.spisok3 = list()
|
||||
|
||||
|
||||
self.train = list()
|
||||
self.matrix = list()
|
||||
self.resize(540, 574)
|
||||
@ -72,15 +58,16 @@ class Example(QWidget):
|
||||
self.show()
|
||||
|
||||
def openImages1(self):
|
||||
filenames1 = QFileDialog.getOpenFileNames(None, 'Открыть изображения', '.', 'Image Files (*.png *.jpg *.jpeg *.bmp)')
|
||||
filenames1 = QFileDialog.getOpenFileNames(None, 'Открыть изображения', '.',
|
||||
'Image Files (*.png *.jpg *.jpeg *.bmp)')
|
||||
lk = filenames1[0]
|
||||
self.erroropened(lk, "1")
|
||||
self.mass(lk, 1)
|
||||
lk.clear()
|
||||
|
||||
|
||||
def openImages2(self):
|
||||
filenames2 = QFileDialog.getOpenFileNames(None, 'Открыть изображения', '.', 'Image Files (*.png *.jpg *.jpeg *.bmp)')
|
||||
filenames2 = QFileDialog.getOpenFileNames(None, 'Открыть изображения', '.',
|
||||
'Image Files (*.png *.jpg *.jpeg *.bmp)')
|
||||
lk = filenames2[0]
|
||||
self.erroropened(lk, "2")
|
||||
self.mass(lk, 2)
|
||||
@ -92,7 +79,6 @@ class Example(QWidget):
|
||||
else:
|
||||
q = QMessageBox.information(self, "Информация", "Вы не выбрали изображения!")
|
||||
|
||||
|
||||
def mass(self, p, s1):
|
||||
if s1 == 1:
|
||||
self.spisok3.clear()
|
||||
@ -109,7 +95,10 @@ class Example(QWidget):
|
||||
self.btn_open.setVisible(False)
|
||||
self.btn_open1.setVisible(False)
|
||||
self.btn_.setVisible(True)
|
||||
q=QMessageBox.information(self,"Информация","Количество изображений тестовой категории: "+str(len(self.spisok))+"\nКоличество изображений основной категории: "+str(len(self.spisok2))+"\nОбщее количество изображений: "+str(int(len(self.spisok)+int(len(self.spisok2)))))
|
||||
q = QMessageBox.information(self, "Информация", "Количество изображений тестовой категории: " + str(
|
||||
len(self.spisok)) + "\nКоличество изображений основной категории: " + str(
|
||||
len(self.spisok2)) + "\nОбщее количество изображений: " + str(
|
||||
int(len(self.spisok) + int(len(self.spisok2)))))
|
||||
|
||||
def matrix_and_train(self):
|
||||
for v in range(len(self.spisok3)):
|
||||
@ -130,7 +119,8 @@ class Example(QWidget):
|
||||
self.svm.train(train, cv2.ml.COL_SAMPLE, labels)
|
||||
self.svm.save("1.yml")
|
||||
self.textbrowser.append("Модель сохранена!")
|
||||
close = QMessageBox.question(self,"Поздравляем!","Ваша модель натренирована!",QMessageBox.Yes | QMessageBox.No)
|
||||
close = QMessageBox.question(self, "Поздравляем!", "Ваша модель натренирована!",
|
||||
QMessageBox.Yes | QMessageBox.No)
|
||||
if close == QMessageBox.Yes:
|
||||
pass
|
||||
self.btn_.setVisible(False)
|
||||
@ -175,7 +165,7 @@ class Example(QWidget):
|
||||
|
||||
# print(self.spisok3)
|
||||
for v in range(len(self.spisok2)):
|
||||
lk=list()
|
||||
lkst = list()
|
||||
img = cv2.imread(str(self.spisok2[v]))
|
||||
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
|
||||
sift = cv2.SIFT_create()
|
||||
@ -200,7 +190,6 @@ class Example(QWidget):
|
||||
# accuracy = accuracy_score(len(self.spisok3), len(self.spisok3))
|
||||
# print('Model Accuracy:',accuracy)
|
||||
|
||||
|
||||
def closeEvent(self, event):
|
||||
close = QMessageBox.question(self, "Выход", "Вы хотите завершить работу?", QMessageBox.Yes | QMessageBox.No)
|
||||
if close == QMessageBox.Yes:
|
||||
@ -208,6 +197,7 @@ class Example(QWidget):
|
||||
else:
|
||||
event.ignore()
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
app = QApplication(sys.argv)
|
||||
win = Example()
|
||||
|
||||
Reference in New Issue
Block a user