'bool' 对象不可迭代

Question

我正在研究 python3、opencv 3.4 并使用 Microsoft Azure 的 FaceAPI 函数 'CF.face.detect()' 据我所知，'for循环'需要可迭代对象才能在类似列表上运行，但简单的布尔值是不可迭代的。虽然 'res1' 是一个列表，但我得到了这个错误。

TypeError: 'bool' 对象不可迭代

请帮忙，提前谢谢

代码如下： 导入单元测试 将cognitive_face 导入为CF 从 PIL 导入 Image、ImageFont、ImageDraw 进口时间 导入简历2 从时间导入strftime

CF.Key.set('') 
#print(CF.Key.get()) 
CF.BaseUrl.set('https://southeastasia.api.cognitive.microsoft.com/face/v1.0/')
#print(CF.BaseUrl.get())
"""Setup Person and Person Group related data."""
person_group_id = '' #id from training terminal
"""Unittest for `face.detect`."""

cap = cv2.VideoCapture('1.mp4') 
while(cap.isOpened()): 
    ret, img = cap.read()
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

    print("\n\n ##########.... LOOKING FOR FACES ....##########  \n\n")
    res1 = []
    print(type(res1))
    res1 = CF.face.detect(cap)

    print('\n This is the res1:  ', res1) 
    c = len(res1)
    print('\nTOTAL FACES FOUND:', c) 

    detect_id = [] ##error was here so put exception
    for i in range(c):
        print("\n\n ##########.... DETECTING FACES ....##########  \n\n")
        print('\n This is i in range c', i, c)
        detect_id.append(res1[i]['faceId'])
        #print('\n\n detected faces id ', detect_id[i])

        width  = res1[i]['faceRectangle']['width'] 
        height = res1[i]['faceRectangle']['height']
        x      = res1[i]['faceRectangle']['left']
        y      = res1[i]['faceRectangle']['top']
################## IF ENDS #########################################################################
cv2.imshow('image',img)
    k = cv2.waitKey(100) & 0xff
    if k == 27:
            break
################ WHILE ENDS ####################################
cap.release()
cv2.destroyAllWindows()

Answer 1

@Jonasz 是对的，你应该在图像上检测人脸，也就是说，在你的 mp4 文件的帧中。

CF.face.detect 方法需要一个 URI，因此在下面的代码中，我们会将其写入磁盘，然后再将其传递给 CF.face.detect：

cap = cv2.VideoCapture('1.mp4') 
count = 0  # <--
while(cap.isOpened()): 
    ret, img = cap.read()
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

    filename = "frame%d.jpg" % count  # <--
    cv2.imwrite(filename, img)  # <--
    count+=1  # <--

    print("\n\n ##########.... LOOKING FOR FACES ....##########  \n\n")
    res1 = []
    print(type(res1))
    res1 = CF.face.detect(filename)  # <--

Answer 2

您不应该在捕获的图像上使用CF.face.detect 而不是cap 变量吗？

Answer 3

@delephin 哦，那行得通！但我希望 CF.face.detect() 在 5 秒后的任何帧上工作。请看，这是我的完整代码：

import unittest
import cognitive_face as CF
from PIL import Image, ImageFont, ImageDraw
import time
import cv2
from time import strftime

CF.Key.set('')  
CF.BaseUrl.set('https://southeastasia.api.cognitive.microsoft.com/face/v1.0/')
person_group_id = '' 

cap = cv2.VideoCapture('emma.mp4') 
count = 0

while(cap.isOpened()): 
    ret, img = cap.read()
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    filename = "frame%d.jpg" % count
    cv2.imwrite(filename, img)
    count+=1 

    S1 = int(strftime("%S"))
    millis = int(round(time.time() * 1000))          
    previous_millis = 0
    interval = 5000000

    if(int(millis-previous_millis) >= interval): 
        previous_millis = millis
        print("\n\n ##########.... LOOKING FOR FACES ....##########  \n\n")

        res1 = CF.face.detect(filename) 
        print('\n This is the res1:  ', res1) 
        c = len(res1)
        print('\nTOTAL FACES FOUND:', c) 

        try:
            detect_id = [] ##error was here so put exception
            for i in range(c):
                print("\n\n ##########.... DETECTING FACES ....##########  \n\n")
                print('\n This is i in range c', i, c)
                detect_id.append(res1[i]['faceId'])
                #print('\n\n detected faces id ', detect_id[i])

                width  = res1[i]['faceRectangle']['width'] 
                height = res1[i]['faceRectangle']['height']
                x      = res1[i]['faceRectangle']['left']
                y      = res1[i]['faceRectangle']['top']

    ######################## IDENTIFICATION ##########################################################################
                print("\n\n ###########.... IDENTIFYING FACES....############# \n\n")
                res2 = CF.face.identify( [detect_id[i]], person_group_id = person_group_id)###big error

                try:
                    recognized_id = res2[0]['candidates'][0]['personId'] 
                    res3 = CF.person.get(person_group_id, recognized_id )
                    #print('Identified person{0}: ', res3) 
                    name = res3['name']
                    print('\nThe image is of Detected person is: ', name)

                    im = Image.open(image) 
                    dr = ImageDraw.Draw(im)

                    dr.rectangle(((x,y),(x+width,y+height)), outline = "blue")
                    font = ImageFont.truetype("/usr/share/fonts/truetype/ubuntu-font-family/Ubuntu-M.ttf", 16)
                    dr.text((x, y),name,(255,255,255),font=font)

                    im.show(im)
                    time.sleep(5)

                except:
                    print ('\nPerson is not Trained !!' )
        except: 
            c = 0
            print('Face count is:', c, "No Face Found") 
################## IF ENDS ######################################################################################
    cv2.imshow('image',img)
    k = cv2.waitKey(100) & 0xff
    if k == 27:
            break
################ WHILE ENDS ###############################################################################
cap.release()
cv2.destroyAllWindows()