實現(xiàn)人臉識別的python庫有很多，這里以OpenCV和face_recognition為例，具體實現(xiàn)步驟如下：

1. 安裝OpenCV和face_recognition庫

pip install opencv-python

pip install face_recognition

2. 獲取人臉圖像并存儲

import cv2

# 打開攝像頭

cap = cv2.VideoCapture(0)

while True:

    # 讀取一幀圖像

    ret, frame = cap.read()

    # 顯示圖像

    cv2.imshow('video', frame)

    # 按下q鍵退出

    if cv2.waitKey(1) & 0xff == ord('q'):

        break

# 釋放攝像頭資源

cap.release()

cv2.destroyAllWindows()

3. 對圖像進行人臉檢測

import face_recognition

# 將圖像轉(zhuǎn)為RGB格式

rgb_frame = frame[:, :, ::-1]

# 檢測人臉位置

face_locations = face_recognition.face_locations(rgb_frame)

4. 對每個人臉進行識別

# 加載預先訓練好的人臉數(shù)據(jù)

known_image = face_recognition.load_image_file("known_face.jpg")

known_encoding = face_recognition.face_encodings(known_image)[0]

# 對檢測到的每個人臉進行識別

for face_location in face_locations:

    # 提取人臉編碼

    unknown_encoding = face_recognition.face_encodings(rgb_frame, [face_location])[0]

    # 比對人臉

    results = face_recognition.compare_faces([known_encoding], unknown_encoding)

    if results[0]:

        # 識別成功

        print("This is known_face.")

    else:

        # 識別失敗

        print("Unknown face.")

完整代碼如下：

import cv2

import face_recognition

# 加載預先訓練好的人臉數(shù)據(jù)

known_image = face_recognition.load_image_file("known_face.jpg")

known_encoding = face_recognition.face_encodings(known_image)[0]

# 打開攝像頭

cap = cv2.VideoCapture(0)

while True:

    # 讀取一幀圖像

    ret, frame = cap.read()

    # 將圖像轉(zhuǎn)為RGB格式

    rgb_frame = frame[:, :, ::-1]

    # 檢測人臉位置

    face_locations = face_recognition.face_locations(rgb_frame)

    # 對每個人臉進行識別

    for face_location in face_locations:

        # 提取人臉編碼

        unknown_encoding = face_recognition.face_encodings(rgb_frame, [face_location])[0]

        # 比對人臉

        results = face_recognition.compare_faces([known_encoding], unknown_encoding)

        if results[0]:

            # 識別成功

            cv2.rectangle(frame, (face_location[3], face_location[0]), (face_location[1], face_location[2]), (0, 255, 0), 2)

            cv2.putText(frame, "Known Face", (face_location[3], face_location[2] + 20), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2)

        else:

            # 識別失敗

            cv2.rectangle(frame, (face_location[3], face_location[0]), (face_location[1], face_location[2]), (0, 0, 255), 2)

            cv2.putText(frame, "Unknown Face", (face_location[3], face_location[2] + 20), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 0, 255), 2)

    # 顯示圖像

    cv2.imshow('video', frame)

    # 按下q鍵退出

    if cv2.waitKey(1) & 0xff == ord('q'):

        break

# 釋放攝像頭資源

cap.release()

cv2.destroyAllWindows()