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摘要： import cv2 import numpy as np img = cv2.imread('image3.png',1) cv2.imshow('src',img) imgInfo = img.shape height = imgInfo[0] width = imgInfo[1] # 2*3 matRotate = cv2.getRotationMatrix2D((height*0.5... 阅读全文

摘要： import cv2 import numpy as np img = cv2.imread('image0.jpg',1) cv2.imshow('src',img) imgInfo = img.shape height = imgInfo[0] width = imgInfo[1] # src 3->dst 3 (左上角 左下角 右上角)仿射变换的实质实际上就是把原图像的三个点映射到目... 阅读全文

摘要： # [[A1 A2 B1],[A3 A4 B2]] # [[A1 A2],[A3 A4]] [[B1],[B2]] # newX = A1*x + A2*y+B1 # newY = A3*x + A4*y+B2 # x->x*0.5 y->y*0.5 # newX = 0.5*x import cv2 import numpy as np img = cv2.imread('image0.j... 阅读全文

摘要： import cv2 import numpy as np img = cv2.imread('image3.png',1) cv2.imshow('src',img) imgInfo = img.shape height = imgInfo[0] width = imgInfo[1] deep = imgInfo[2] newImgInfo = (height*2,width,deep)... 阅读全文

摘要： import cv2 import numpy as np img = cv2.imread('image0.jpg',1) cv2.imshow('src',img) imgInfo = img.shape dst = np.zeros(img.shape,np.uint8) height = imgInfo[0] width = imgInfo[1] for i in range(0,he... 阅读全文

摘要： # [1,0,100],[0,1,200] 2*2 2*1 # [[1,0],[0,1]] 2*2 A # [[100],[200]] 2*1 B # xy C # A*C+B = [[1*x+0*y],[0*x+1*y]]+[[100],[200]] # = [[x+100],[y+200]] 沿着x轴右移了100个点，沿着y轴向下移动了200个点 #(10,20)->(110,120) ... 阅读全文

摘要： # 1 API 2 算法原理 3 源代码 import cv2 import numpy as np img = cv2.imread('image0.jpg',1) cv2.imshow('src',img) imgInfo = img.shape height = imgInfo[0] width = imgInfo[1] ### 设置一个偏移矩阵 这个偏移矩阵用numpy来表示 matSh... 阅读全文

摘要： #100 -》 200 x #100 -》300 y import cv2 img = cv2.imread('image0.jpg',1) imgInfo = img.shape dst = img[100:200,100:300] cv2.imshow('image',dst) cv2.waitKey(0) 阅读全文

摘要： # 1 info 2 空白模板 3 xy import cv2 import numpy as np img = cv2.imread('image0.jpg',1) imgInfo = img.shape height = imgInfo[0] width = imgInfo[1] dstHeight = int(height/2) dstWidth = int(width/2) dstIm... 阅读全文