基于python+MTCNN+MobileFaceNet+深度学习开发的实时人脸识别系统(源码)

上传者: m0_37302966 | 上传时间: 2026-03-10 22:03:17 | 文件大小: 13.84MB | 文件类型: ZIP
基于python+MTCNN+MobileFaceNet+深度学习开发的实时人脸识别系统(源码) 采用 MTCNN 进行人脸检测和关键点定位,使用轻量级 MobileFaceNet 提取人脸特征向量,结合 ArcFace 损失函数提升识别精度。系统可通过摄 像头实时采集人脸,与数据库中已存人脸进行特征匹配,实现高效准确的身份识别。 调用测试图片数据库进行人脸识别 python infer.py --image_path=/dataset/test.jpg 调用摄像头进行人脸识别 python infer_camera.py --camera_id=0 文件树: dataset 人脸识别测试数据库 detection MTCNN模型训练文件 face_db 人脸数据库 models mobilefacenet模型训练文件 save_model 保存模型文件 图片人脸识别 infer.py

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