发生异常：TypeError无法解包不可迭代的int对象图像处理

问题描述

我收到此错误，我不知道如何解决它，看来我必须将错误行放在元组中，这是因为numpy库对于此行“ width，height = detected_image.size”，任何建议？

import cv2 
    import csv
    from PIL import Image
    import numpy as np
    import os
    import sys
    
    def create_data_list(myDir,format='.jpg'):
        data_list = []
        print(myDir)
        for root,dirs,files in os.walk(myDir,topdown=False):
            for name in files:
                if name.endswith(format):
                    fullName = os.path.join(root,name)
                    data_list.append(fullName)
        return data_list
    
    raw_data = create_data_list('./faces')
    
    face_detection_cascade = cv2.CascadeClassifier('face_cascade.xml')
    
    for each_image in raw_data:
        image_file = Image.open(each_image)
        each_file_path = image_file.filename
        image = cv2.imread(each_file_path)
        gray_image = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
        face_detecting = face_detection_cascade.detectMultiScale(gray_image,scaleFactor=1.05,minNeighbors=5)
        for x,y,w,h in face_detecting:
            detected_image = cv2.rectangle(image,(x,y),(x+w,y+h),(0,255,0),3)
        print(type(detected_image))
        width,height = detected_image.size
        format = detected_imageformat
        mode = detected_image.mode
        img_grey = detected_image.convert('L')
        value = np.asarray(img_grey.getdata(),dtype=np.int).reshape((img_grey.size[1],img_grey.size[0]))
        value = value.flatten()
        print(value)
        with open("img_csv_data.csv",'a') as f:
            writer = csv.writer(f)
            writer.writerow(value)
    
    
        resized = cv2.resize(image,(int(image.shape[1]*2),int(image.shape[0]*2)))
        cv2.imshow('human_face',resized)
        cv2.waitKey(0)
        cv2.destroyAllWindows()
       
       

解决方法

它刚刚解决了 需要添加以下内容：

image_from_array = Image.fromarray(detected_image)