Random but unrepeated combinations?

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  • facenet-pytorch

    Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

    For now, I am trying to evaluate and get the accuracy of the FaceNet module. Like this example on facenet-pytorch, getting the accuracy relies on this file (pairs.txt) provided by the official site. Format description below:

  • facenet

    Face recognition using Tensorflow (by VictorZhang2014)

    So I figured I might need to generate my own pairs.txt, and I found this code on GitHub that uses the "random" module, tho it's half broken... I was able to handle most of the bugs so my question is:

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    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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