Opencv从入门到放弃---5.银行卡识别案例(OpenCV = open(开源)+ c(ctrl c)+ v(ctrl v))


别人都是信用卡识别,我这里换成银行卡识别,甚至换成身份证,其实是一个原理,找到和银行卡数字匹配的字体,修改识别数字区域的宽和高,都能识别出来,原理就是根据模板数字进行匹配# 导入工具包# opencv读取图片的格式为b g r# matplotlib图片的格式为 r g bimport numpy

Opencv从入门到放弃---4.直方图与模板匹配(OpenCV = open(开源)+ c(ctrl c)+ v(ctrl v))


import cv2 #opencv读取的格式是BGRimport numpy as npimport matplotlib.pyplot as plt#Matplotlib是RGB%matplotlib inline def cv_show(img,name): cv2.imshow(nam

Opencv从入门到放弃---3.图像梯度与轮廓(OpenCV = open(开源)+ c(ctrl c)+ v(ctrl v))


Sobel算子如果出现负数则默认为0img = cv2.imread('data/pie.png',cv2.IMREAD_GRAYSCALE)cv2.imshow("img",img)cv2.waitKey()cv2.destroyAllWindows()dst = cv2.So

Opencv从入门到放弃---2.图像处理(OpenCV = open(开源)+ c(ctrl c)+ v(ctrl v))


灰度图import cv2 #opencv读取的格式是BGRimport numpy as npimport matplotlib.pyplot as plt#Matplotlib是RGB%matplotlib inline img=cv2.imread('data/cat.jpg')img_gra

Opencv从入门到放弃---1.图像基本操作(OpenCV = open(开源)+ c(ctrl c)+ v(ctrl v))


数据读取-图像cv2.IMREAD_COLOR:彩色图像cv2.IMREAD_GRAYSCALE:灰度图像import cv2 #opencv读取的格式是BGRimport matplotlib.pyplot as pltimport numpy as np %matplotlib inline i