首页 > 解决方案 > IndexError:使用面部识别和opencv列出超出范围的索引

问题描述

import numpy as np
import cv2
import face_recognition as fr

cap = cv2.VideoCapture(0)

if not cap.isOpened():
    print("Could not open webcam")


person1_image = fr.load_image_file("person1.JPG")
person2_image = fr.load_image_file("person2.jpg")
person1_image_encoding = fr.face_encodings(person1_image)
person2_image_encoding = fr.face_encodings(person2_image)

known_face_encodings = [person1_image_encoding, person2_image_encoding]
known_face_names = ["person1", "person2"]

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

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

    face_locations = fr.face_locations(rgb_frame)
    face_encodings = fr.face_encodings(rgb_frame, face_locations)

    for (top, right, bottom, left), face_encoding in zip(face_locations, face_encodings):

        matches = fr.compare_faces(known_face_encodings, face_encoding)

        name = "Unknown"

        face_distances = fr.face_distance(known_face_encodings, face_encoding)

        best_match_index = np.argmin(face_distances)
        print(best_match_index)
        if matches[best_match_index]:
            name = known_face_names[best_match_index]

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

        cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 0, 255), cv2.FILLED)
        font = cv2.FONT_HERSHEY_SIMPLEX
        cv2.putText(frame, name, (left + 6, bottom - 6), font, 1.0, (255, 255, 255), 1)

    cv2.imshow('Webcam_facerecognition', frame)

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

cap.release()
cv2.destroyAllWindows()

这一直有效,直到它检测到一张脸,此时它会说:

如果匹配[best_match_index]:IndexError:列表索引超出范围

我打印了匹配索引。似乎它们的数字大于 2,例如 62、120 或类似的数字。

标签: pythonopencvface-recognition

解决方案


你为什么不尝试而不是best_match_index = np.argmin(face_distances)

best_match_index = face_distances.index(min(face_distances))

??


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