def add_logo_to_img(): # 水印logo图片 logo = cv.imread('./images/opencv-logo-white.png') # 需要添加水印的图片 img = cv.imread('./images/messi5.jpg') # 获取水印的宽高,注意此处水印使用的三通道读取,因此获取水印属性时需要加通道值 h,w,c = logo.shape # 利用图像像素读取设值原理,直接...
import numpy as np def draw_opencv_logo(): logo = cv.imread("./images/opencv-logo-white.png") h,w,c = logo.shape # 复制一个opencv-logo矩阵,赋值白色 img = np.zeros_like(logo) # img.fill(255) # 使用Photoshop测量外径和内径 max_d = 86 max_r = int(max_d / 2) min_d = 34 ...
def add_logo_to_img(): # 水印logo图片 logo = cv.imread('./images/opencv-logo-white.png') # 需要添加水印的图片 img = cv.imread('./images/messi5.jpg') # 获取水印的宽高,注意此处水印使用的三通道读取,因此获取水印属性时需要加通道值 h,w,c = logo.shape # 利用图像像素读取设值原理,直接...
importcv2ascvimportnumpyasnp defdraw_opencv_logo():logo=cv.imread("./images/opencv-logo-white.png")h,w,c=logo.shape # 复制一个opencv-logo矩阵,赋值白色 img=np.zeros_like(logo)# img.fill(255)# 使用Photoshop测量外径和内径 max_d=86max_r=int(max_d/2)min_d=34min_r=int(min_d/2)#...
imread("./images/opencv-logo-white.png") image2 = np.zeros_like(image1) image2[:] = (110,0,250) cv.imshow('image1', image1) cv.imshow('image2', image2) # 图像像素加法运算 add_img = cv.add(image1, image2) cv.imshow('add_img', add_img) # 图像像素减法运算 subtract_img ...
img2 = cv.imread('opencv-logo-white.png') 1. 2. 我想把logo放在左上角,所以我创建了ROI rows,cols,channels = img2.shape roi = img1[0:rows, 0:cols ] 1. 2. 现在创建logo的掩码,并同时创建其相反掩码 img2gray = cv.cvtColor(img2,cv.COLOR_BGR2GRAY) ...
imread("C:\\opencv\\build\\doc\\opencv-logo-white.png");// 编译器要求使用前要给初始值Matimage = image1, opencvlogo;// 缩小原图成 Size(col, row)resize(logo, opencvlogo,Size(80, 64)); namedWindow("Image 1", CV_WINDOW_AUTOSIZE);/...
import cv2 as cvimport numpy as npfrom matplotlib import pyplot as pltimg = cv.imread('opencv-logo-white.png')blur = cv.blur(img,(5,5))plt.subplot(121),plt.imshow(img),plt.title('Original')plt.xticks([]), plt.yticks([])plt.subplot(122),plt.imshow(blur),plt.title('Blurred')pl...
图像混合cv.addWeighted()是一种图像加权相加的操作,两幅图像的权重可以不一样,也可以一样。γ相当于一个修正值: α和β都等于1时,就相当于图像相加。 img1 = cv2.imread('lena_small.jpg') img2 = cv2.imread('opencv-logo-white.png') res = cv2.addWeighted(img1,0.6, img2,0.4,0) ...
img= cv.imread('opencv-logo-white.png') blur= cv.blur(img,(5,5)) plt.subplot(121),plt.imshow(img),plt.title('Original') plt.xticks([]), plt.yticks([]) plt.subplot(122),plt.imshow(blur),plt.title('Blurred') plt.xticks([]), plt.yticks([]) ...