问题描述
我正在尝试获取图像数量并将其与网络摄像头进行比较,但它仅从文件中给了我1个条目。这是我的代码:
import cv2
import numpy as np
import face_recognition
import os
path = 'pics'
images = []
classNames = []
myList = os.listdir(path)
print(myList)
for cl in myList:
curImg = cv2.imread(f'{path}/{cl}')
images.append(curImg)
classNames.append(os.path.splitext(cl)[0])
print(classNames)
def findEncodings(images):
encodeList = []
for img in images:
img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
encode = face_recognition.face_encodings(img)[0]
encodeList.append(encode)
return encodeList
encodeListkNown = findEncodings(images)
print(findEncodings(images))
cap = cv2.VideoCapture(0)
while True:
success,img = cap.read()
imgs = cv2.resize(img,(0,0),None,0.25,0.25)
imgs = cv2.cvtColor(imgs,cv2.COLOR_BGR2RGB)
facesCurframe = face_recognition.face_locations(imgs)
encodescurframe = face_recognition.face_encodings(imgs,facesCurframe)
for encodeface,faceloc in zip(encodescurframe,facesCurframe):
matches = face_recognition.compare_faces(encodeListkNown,encodeface)
facedis = face_recognition.face_distance(encodeListkNown,encodeface)
print(facedis)
该程序假设要从选定的文件中获取图像并转换为黑白图像,然后将其与网络摄像头前的人进行比较 我该怎么办?
解决方法
您过早退出编码功能。 return
语句必须在循环之外:
def findEncodings(images):
encodeList = []
for img in images:
img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
encode = face_recognition.face_encodings(img)[0]
encodeList.append(encode)
return encodeList ## <-- Move back the indentation by 1 level