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使用FaceNet和Keras进行人脸识别

  • Dataset:

  • Dependencies

    • Keras 2 (tensorflow backend)
    • open-cv
    • tqdm
    • pandas
  • Model

    • Feature extractor model: MobileNetV2
    • Embedding model: FaceNet
  • 运行顺序

  • 训练: Train_Crop_Siamese_Network.py

  • 使用:将待匹配人脸放入 OriDataset文件夹中

  • CropResizeOriData.py 进行数据库数据进行人脸查找和resize

  • EmbeddingDataSet.py 将resize后的数据进行embedding

  • TestImg.py 将待匹配人脸放入testImg文件夹下 进行相似人脸输出

  • TestVedio.py 进行实时视频输出

About

Do Face Recognition with keras and FaceNetAlgorithm. Can Detect in image and vedio. Face Detection using Haar-Like Adaboost Algorithm.

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