refactor
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@@ -83,7 +83,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.2"
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"version": "3.12.3"
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}
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},
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"nbformat": 4,
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@@ -1,9 +1,10 @@
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import cv2
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lenna = cv2.imread(r"src.jpg")
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print(type(lenna))
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cv2.namedWindow("Lena", cv2.WINDOW_AUTOSIZE)
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cv2.imshow("Lena", lenna)
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cv2.waitKey(0)
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cv2.destroyWindow("Lena")
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cv2.imwrite(r"1\imwrite.png", lenna, (cv2.IMWRITE_PNG_COMPRESSION, 5))
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if __name__ == "__main__":
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lenna = cv2.imread(r"src.jpg")
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print(type(lenna))
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cv2.namedWindow("Lena", cv2.WINDOW_AUTOSIZE)
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cv2.imshow("Lena", lenna)
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cv2.waitKey(0)
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cv2.destroyWindow("Lena")
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cv2.imwrite(r"1\imwrite.png", lenna, (cv2.IMWRITE_PNG_COMPRESSION, 5))
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@@ -1,9 +1,10 @@
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import cv2
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import matplotlib.pyplot as plt
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plt.rcParams["font.family"] = ["SimHei"]
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plt.rcParams["axes.unicode_minus"] = False
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img_BGR = cv2.imread(r"src.jpg")
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img_RGB = cv2.cvtColor(img_BGR, cv2.COLOR_BGR2RGB)
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plt.imshow(img_RGB)
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plt.show()
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if __name__ == "__main__":
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plt.rcParams["font.family"] = ["SimHei"]
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plt.rcParams["axes.unicode_minus"] = False
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img_BGR = cv2.imread(r"src.jpg")
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img_RGB = cv2.cvtColor(img_BGR, cv2.COLOR_BGR2RGB)
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plt.imshow(img_RGB)
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plt.show()
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@@ -25,12 +25,13 @@ def histogram(image):
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return hist
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image0 = createBox()
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plt.figure()
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plt.subplot(1, 2, 1)
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plt.imshow(image0, vmin=0, vmax=255, cmap=plt.cm.gray)
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plt.title("idel image")
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image_hist0 = histogram(image0)
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plt.subplot(1, 2, 2)
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plt.bar(range(256), image_hist0)
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plt.show()
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if __name__ == "__main__":
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image0 = createBox()
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plt.figure()
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plt.subplot(1, 2, 1)
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plt.imshow(image0, vmin=0, vmax=255, cmap=plt.cm.gray)
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plt.title("idel image")
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image_hist0 = histogram(image0)
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plt.subplot(1, 2, 2)
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plt.bar(range(256), image_hist0)
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plt.show()
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