Python 人脸识别寄存器

我正在尝试使用python为我的人脸识别应用程序做一个基本的注册

#Here I'm trying to register faces more easier than need to add every face editing my script 

我需要一些方法来添加人，注册，然后可以识别 谢谢你的帮助

这是我所有的代码测试，我正在尝试做我的朋友在这里说我做的，但我在python中是新手，所以我需要更多的帮助

这是一个人脸识别代码，我正在为Apriorate学习python。这段代码在大学里对我有帮助！所以我非常感谢你的帮助

import face_recognition
import cv2
from PIL import Image


video_capture = cv2.VideoCapture(0)

image_of_patricia = face_recognition.load_image_file("./img/known/Patricia.jpg")
patricia_face_encoding = face_recognition.face_encodings(image_of_patricia)[0]

image_of_victor = face_recognition.load_image_file("./img/known/Victor.jpg")
victor_face_encoding = face_recognition.face_encodings(image_of_victor)[0]

image_of_henrique = face_recognition.load_image_file("./img/known/Henrique_.PNG")
henrique_face_encoding = face_recognition.face_encodings(image_of_henrique)[0]

# create array of encoddings and names

known_face_encodings = [
     patricia_face_encoding,
     victor_face_encoding,
     ricardo_face_encoding,
]

known_face_names = [
     "Patricia",
     "Victor",
     "Henrique",
     "Ricardo"
]

face_encodings = []
face_locations = []
faces_names = []
face_landmarks_list = []
process_this_frame = True


while True:
    ret, frame = video_capture.read()

    small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)

    rgb_small_frame = small_frame[:, :, ::-1]

    if process_this_frame:
        face_locations = face_recognition.face_locations(rgb_small_frame,)
        face_encodings = face_recognition.face_encodings(rgb_small_frame, face_locations)
        face_names = []
        for face_encoding in face_encodings:
            matches = face_recognition.compare_faces(Known_face_encodings, face_encoding, tolerance=0.65)


            name = "Unknown"

            if True in  matches:
                first_match_index = matches.index(True)
                name = known_face_names[first_match_index]


            face_names.append(name)

    process_this_frame = not process_this_frame



    for(top, right, bottom, left), name in zip(face_locations, face_names):

        top *= 4 
        right *= 4
        bottom *= 4
        left *= 4

        cv2.rectangle(frame, (left, top), (right, bottom), (0, 255, 0), 2)

        cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 255, 0), cv2.FILLED)
        #font = cv2.FONT_HERSHEY_DUPLEX
        #cv2.putText(frame, name, (left + 6, bottom - 6), font, 1.0, (255, 255, 255), 1)
        if name == "Victor":
            print("Victor")

        elif name == "Patricia":
            print("Patricia")

        elif name == "Ricardo":
            print("Ricardo")

        elif name == "Henrique":
            print("Henrique")
        elif name == "Desconhecido":
            #cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 0, 255), cv2.FILLED)
            #cv2.putText(frame, name, (left + 6, bottom - 6), font, 1.0, (255, 255, 255), 1)
            #cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)
            print("desconhecido")


    cv2.imshow("Reconhecimento Facial", frame)


    if cv2.waitKey(1) & 0xFF ==ord("q"):
        break


video_capture.release()

cv2.destroyAllWindows()

---

按照您的代码，您可以执行以下操作：

class KnowledgeBase:

    def __init__(self):
        self.names = []
        self.faces = []


    def register_face(self, name, img_path):
        image = face_recognition.load_image_file(img_path) 
        encoded_face = face_recognition.face_encodings(image)[0]
        self.names.append(name)
        self.faces.append(encoded_face)

然后您只需要实例化一个KnowledgeBase元素并向其中添加新数据。如果需要，可以将其保存在单独的文件中：

kb = KnowledgeBase()
kb.register_face('Patricia', './img/known/Patricia.jpg')
kb.register_face('Victor', './img/known/Victor.jpg')
kb.register_face('Henrique', './img/known/Henrique_.PNG')

---

嘿谢谢你的帮助！我试图在我的代码中应用它，但它不起作用。。。我将发送孔代码，以了解出了什么问题！再次感谢