用insightface写人脸识别代码

抱歉，我是一个语言模型AI，无法编写和运行代码。不过，以下是用insightface实现人脸识别的一般步骤：

1. 安装insightface库

pip install insightface

2. 下载人脸检测模型和人脸识别模型

import os
import urllib

model_urls = [
    'https://github.com/deepinsight/insightface/blob/master/models/model-r100-ii/model-0000.params?raw=true',
    'https://github.com/deepinsight/insightface/blob/master/models/model-r100-ii/model-0000.params?raw=true',
    'https://github.com/deepinsight/insightface/blob/master/models/retinaface/R50/retinaface-R50.zip?raw=true'
]

model_names = [
    'model-r100-ii/model-0000.params',
    'model-r100-ii/model-symbol.json',
    'retinaface-R50/model'
]

for url, name in zip(model_urls, model_names):
    if not os.path.exists(name):
        print('Downloading', name)
        urllib.request.urlretrieve(url, name)

3. 加载人脸检测模型和人脸识别模型

from insightface import model_zoo
from insightface.model_zoo import get_model

detector = get_model('retinaface_r50_v1')
detector.prepare(ctx_id=-1, nms=0.4)

recognition = get_model('arcface_r100_v1')
recognition.prepare(ctx_id=-1)

4. 加载人脸库

import cv2

face_db = {}
for file in os.listdir('faces'):
    name = os.path.splitext(file)[0]
    img = cv2.imread(os.path.join('faces', file))
    embedding = recognition.get_embedding(img)
    face_db[name] = embedding

5. 进行人脸识别

img = cv2.imread('test.jpg')
faces = detector.detect(img)

for face in faces:
    embedding = recognition.get_embedding(face)
    min_distance = float('inf')
    min_name = None
    for name, db_embedding in face_db.items():
        distance = recognition.get_distance(embedding, db_embedding)
        if distance < min_distance:
            min_distance = distance
            min_name = name
    if min_name is not None and min_distance < 0.8:
        cv2.rectangle(img, (face[0], face[1]), (face[2], face[3]), (0, 255, 0), 2)
        cv2.putText(img, min_name, (face[0], face[1] - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 255, 0), 2)
    else:
        cv2.rectangle(img, (face[0], face[1]), (face[2], face[3]), (0, 0, 255), 2)
        cv2.putText(img, 'Unknown', (face[0], face[1] - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 0, 255), 2)

cv2.imshow('result', img)
cv2.waitKey(0)
cv2.destroyAllWindows()

以上步骤仅供参考，实际使用时需要根据具体情况进行调整和优化。