随笔分类 - opencv
摘要:import cv2 as cv import numpy as np def clamp(x): if x >255: return 255 if x <0 : return 0 return x def gussian_noise(image): h, w, c = image.shape[:3
阅读全文
摘要:均值模糊 中值模糊 自定义模糊 import cv2 as cv import numpy as np def blur_demo(image): dst = cv.blur(image, ksize=(3, 3)) cv.imshow("dst", dst) cv.imshow("src", sr
阅读全文
摘要:#泛洪填充 import cv2 as cv import numpy as np def fillblooding_demo(image): h, w = image.shape[:2] image_copy = image.copy() mask = np.zeros(shape=(h+2, w
阅读全文
摘要:链接:https://blog.csdn.net/qq_29796317/article/details/72425556
阅读全文
摘要:加减乘除不说了,反正就是两幅相同的图片运用cv.add(), cv.substract(),cv.multiply(), cv.divide()等实现 逻辑运算就是cv.bitewise_and(),cv.bitewise_or()等等 #调节亮度 import cv2 as cv import n
阅读全文
摘要:import cv2 as cv import numpy as np def video_demo(): capture = cv.VideoCapture("d:/two.mp4") low_array = np.array([26, 43, 46]) up_array = np.array([
阅读全文
摘要:1.遍历图像对其每个像素取反 import cv2 as cv import numpy as np img = cv.imread("d:/girl.jfif") cv.imshow("img", img) height = img.shape[0] width = img.shape[1] ch
阅读全文
摘要:import cv2 import numpy as np img = cv2.imread("C:/Users/93917/Pictures/Screenshots/one.png") cv2.imshow("Image", img) cv2.waitKey(0) cv2.destroyAllWi
阅读全文

浙公网安备 33010602011771号