Python人脸识别

Question

大家好，最近我正在研究人脸识别考勤系统，我正在使用人脸识别库来做到这一点，我需要对图像进行编码，所以我使用 for 循环遍历图像并对其进行编码，但我遇到了错误上面写着“encode = face_recognition.face_encodings(img)[0] IndexError: list index out of range”我什至看到有人这样做，它工作得很好，但它对我不起作用。我正在使用 python 3.7.6 这是完整的代码：

import cv2
import face_recognition
import pickle
import os
import firebase_admin
from firebase_admin import credentials
from firebase_admin import db
from firebase_admin import storage

cred = credentials.Certificate("Service acc key data base.json")
firebase_admin.initialize_app(cred, {
    'databaseURL': "Don't mind this",
    'storageBucket': "Don't mind this"
})

# Importing student images
folderPath = 'Images'
pathList = os.listdir(folderPath)
print(pathList)
imgList = []
studentIds = []
for path in pathList:
    imgList.append(cv2.imread(os.path.join(folderPath, path)))
    studentIds.append(os.path.splitext(path)[0])

    fileName = f'{folderPath}/{path}'
    bucket = storage.bucket()
    blob = bucket.blob(fileName)
    blob.upload_from_filename(fileName)

    # print(path)
    # print(os.path.splitext(path)[0])
print(studentIds)

def findEncodings(imagesList):
    encodeList = []
    for img in imagesList:
        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        encode = face_recognition.face_encodings(img)[0]
        encodeList.append(encode)
    return encodeList


print("Encoding Started ...")
encodeListKnown = findEncodings(imgList)
print(encodeListKnown)
encodeListKnownWithIds = [encodeListKnown, studentIds]
print("Encoding Complete")

file = open("EncodeFile.p", 'wb')
pickle.dump(encodeListKnownWithIds, file)
file.close()
print("File Saved")

我已经尝试了我所知道的一切

Answer 1

当

face_recognition.face_encodings(img)

没有找到任何面时，它返回一个空列表

[]

所以

[0]

给你索引错误。您必须首先检查图像中是否存在面部。

encode = face_recognition.face_encodings(img)
if len(encodings) > 0:

    # Append encode to encodList
    encodeList.append(encode)

locations = face_recognition.face_locations(img)
if len(locations) == 0:
    # no images found
    continue

有关更多信息，您可以查看list index out of range error in facial recognition