Face Similarity On iOS Using VGGFace CoreML Model

This page summarizes the projects mentioned and recommended in the original post on /r/iOSProgramming

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  • keras-vggface

    VGGFace implementation with Keras Framework

  • So I couldn't make the code runnable in Google Colab (uses Python v3.8), luckily on local workstation (using PyCharm) after installing TensorFlow 1.14 and appropriate Keras version and selecting Python v2.7, I managed to install and use the library.

  • face-id

    Finding similar faces on iOS device using keras-vggface ML model.

  • Also weights of model are quantised. In majority of cases it's better to retrain model rather than to "reduce", interpolate final coefficients. VGGFace based on ResNet50 was reduced from 59 to 15 MB after quantization. Found similar project on GitHub(Face-Id), big applause to the author....

  • InfluxDB

    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.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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