cv2.imshow('m1',m1) cv2.waitKey(0) cv2.destroyAllWindows() 2 图像的裁剪和缩放 可以对图像矩阵进行裁剪和缩放,裁剪直接用python的切片来完成,缩放可以用opencv的 resize() 函数来操作。resize函数介绍如下: cv2.resize(src, dsize[, dst[, fx[, fy[, interpolation]]]) -> dst 参数说明: src:原图...
1img = cv2.imread('shape2.jpg')23img_gray =cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)45ret, thresh = cv2.threshold(img_gray, 125, 255, cv2.THRESH_BINARY)67contours, hierarchy =cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)89m0 =cv2.arcLength(contours[0], True)10m1 = ...
M1芯片MAC安装OpenCV python 本人小白最近在研究opencv,21年7月在m1芯片上尝试过安装OpenCV没成功,当初貌似还不支持M1芯片。 时隔半年疫情又激发起了我的学习欲望。 翻阅了百度安装教程都比较麻烦,谷歌发现了一个比较简单 第一步:安装brewhome /bin/bash -c"$(curl-fsSL https://raw.githubusercontent.com/Homebre...
import cv2 as cv def add_img(m1, m2): dst = cv.add(m1, m2) cv.imshow("add image", dst) def subtract_img(m1, m2): dst = cv.subtract(m1, m2) cv.imshow("subtract image", dst) def multiply_img(m1, m2): dst = cv.multiply(m1, m2) cv.imshow("multiply image", dst) def d...
m1.openCamera() while(1): m1.run() image1=m1.image cv2.imshow('camera',image1) #显示 K=cv2.waitKey(500) #等待按下任意键,窗口活动时有效 if K == 27: #按下 Esc 退出,窗口活动时有效 m1.close() break cv2.destroyAllWindows() #销毁所有窗口 # m2=image("image2",model='lena.JPG')...
(m1) dst = cv2.bitwise_and(m1, m2) dst = cv2.bitwise_or(m1, m2) dst = cv2.bitwise_not(image) #调整图像亮度与对比度 h, w, ch = image.shape blank = np.zeros([h, w, ch], image.dtype) dst = cv2.addWeighted(image, 1.5, blank, -0.5, 0) cv2.waitKey(0) cv2.destroyAll...
print("\nHuM1=\n",HuM1) print("\ncv2.moments(gray)['nu20']+cv2.moments(gray)['nu02']=%f+%f=%f\n" %(cv2.moments(gray)['nu20'],cv2.moments(gray)['nu02'],cv2.moments(gray)['nu20']+cv2.moments(gray)['nu02']))
picSrc = np.float32([[0,0],[cols,0],[0,rows],[cols,rows]])picDst = np.float32([[int(0.2*cols),0],[int(0.8*cols), 0],[0,rows],[cols,rows]])M1 = cv.getPerspectiveTransform(picSrc, picDst)imageResult1 = cv.warpPerspective(image, M1,(cols,rows))cv.imshow("imageResult...
M1 = numpy.float32([[1, 0, 20], [0, 1, 80]]) # 沿x轴平移+20,沿y轴平移+80 # 2)缩放 M2 = numpy.float32([[0.8, 0, 0], [0, 0.5, 0]]) # x轴变为0.8倍,y轴变为0.5倍 # 3)旋转:调用getRotationMatrix2D()获取仿射矩阵 ...
v1,v2 = np.sum(((b1-m1)**2)*p1)/q1,np.sum(((b2-m2)**2)*p2)/q2 # 计算最小化函数 fn = v1*q1 + v2*q2 if fn < fn_min: fn_min = fn thresh = i # 使用OpenCV函数找到otsu的阈值 ret, otsu = cv.threshold(blur,0,255,cv.THRESH_BINARY+cv.THRESH_OTSU) ...