Question

裁剪后的图像显示为cv2.imshow，但不能使用cv2.imwrite保存它们。

我尝试了输入变量和类型为输出变量的问题，它们都给出了numpy.ndarray

import numpy as np
import cv2

def recotar_imagen(gray):
    #Read the image
    gray = cv2.imread('imagengris.jpg')
    print type (gray)

    #Means of the image within a matrix
    heigth, width = gray.shape[:2]
    n = width
    h = heigth
    x = 0
    y = 0

    #Formulas for half of the image in x y
    x2 = int(round ((n-1)/2)) 
    y2 = int(round ((h-1)/2))
    x3 =  x2 + 1
    y3 =  y2 + 1

    #Operator for the first image 
    #cropped_lu is for the image on the left above
    cropped_lu = gray[x:x2, y:y2]
    print type (cropped_lu)
    cv2.imshow("cropped_lu.jpg", cropped_lu)
    cv2.imwriter("cropped_lu.jp", cropped_lu)

    #Operator for the second image
    #cropped_ru is for the image on the right above
    cropped_ru = gray[x3:n-1, y:y2]
    print type (cropped_ru)
    cv2.imshow("cropped_ru.jpg", cropped_ru)
    cv2.write("cropped_ru.jpg", cropped_ru)

    #Operator for the third image
    #cropped_ld is for the image on the left below
    cropped_ld = gray[x:x2, y3:h-1]
    print type (cropped_ld)
    cv2.imshow("cropped_ld.jpg", cropped_ld)
    cv2.imsave("cropped_ld.jpg", cropped_ld)


    #Operator for the fourth image 
    #cropped_ld is for the image on the right below
    cropped_rd = gray[x2:n-1, y3:h-1]
    print type (cropped_rd)
    cv2.imshow("cropped_rd.jpg", cropped_rd)
    cv2.imwrite("cropped_rd.jpg", cropped_rd)

    cv2.waitKey(0)
    cv2.destroyAllWindows()

错误日志

第55行，在recotar_imagen中   cv2.imwriter（“ cropped_lu.jp”，cropped_lu）

AttributeError：“模块”对象没有属性“ imwriter”

Answer 1

方法是cv2.imwrite()而不是cv2.imwriter()

Answer 2

您想写imwrite而不是imwriter。

Answer 3

修复了您的代码。问题：

您致电了cv2.imwriter()，该电话不存在。已将其更正为cv2.imwrite()
您试图用cv2.imwriter("cropped_lu.jp", cropped_lu)扩展名'.jp'保存图像，这不是图像的正确扩展名。更正为“ .jpg”
您致电了cv2.write()，该电话不存在。已将其更正为cv2.imwrite()

您呼叫了不存在的cv2.imsave()。已将其更正为cv2.imwrite()

def recotar_imagen(gray):
        #Read the image
        gray = cv2.imread('imagengris.jpg')
        print(type (gray))

        #Means of the image within a matrix
        heigth, width = gray.shape[:2]
        n = width
        h = heigth
        x = 0
        y = 0

        #Formulas for half of the image in x y
        x2 = int(round ((n-1)/2)) 
        y2 = int(round ((h-1)/2))
        x3 =  x2 + 1
        y3 =  y2 + 1

        #Operator for the first image 
        #cropped_lu is for the image on the left above
        cropped_lu = gray[x:x2, y:y2]
        print( type (cropped_lu))
        cv2.imshow("cropped_lu.jpg", cropped_lu)
        cv2.imwrite("cropped_lu.jpg", cropped_lu)

        #Operator for the second image
        #cropped_ru is for the image on the right above
        cropped_ru = gray[x3:n-1, y:y2]
        print( type (cropped_ru))
        cv2.imshow("cropped_ru.jpg", cropped_ru)
        cv2.imwrite("cropped_ru.jpg", cropped_ru)

        #Operator for the third image
        #cropped_ld is for the image on the left below
        cropped_ld = gray[x:x2, y3:h-1]
        print( type (cropped_ld))
        cv2.imshow("cropped_ld.jpg", cropped_ld)
        cv2.imwrite("cropped_ld.jpg", cropped_ld)


        #Operator for the fourth image 
        #cropped_ld is for the image on the right below
        cropped_rd = gray[x2:n-1, y3:h-1]
        print( type (cropped_rd))
        cv2.imshow("cropped_rd.jpg", cropped_rd)
        cv2.imwrite("cropped_rd.jpg", cropped_rd)

        cv2.waitKey(0)
        cv2.destroyAllWindows()


recotar_imagen("test")

裁剪图像四

3 个答案: