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  1. cascades are binary classifiers (e.g: face or not) you cannot use them to recognize different ppl.
  2. again, it cannot work, you will need to use something else
  3. use a pretrained cnn like facenet or spherenet, that transforms face images into small (128/512) feature vectors, which can easily be stored into a db, and compared with simple L2 or cosine distance
  1. cascades are binary classifiers (e.g: face or not) you cannot use them to recognize different ppl.
  2. again, it cannot work, you will need to use something else
  3. use a pretrained cnn like facenet or spherenet, that transforms face images into small (128/512) feature vectors, which can easily be stored into a db, (network ?)db, and compared with simple L2 or cosine distance