Build a Deep Facial Recognition App, , Part 6 Making Facial Recognition Predictions, ,, Python
Ever wanted to implement facial recognition or verification into your application In this series you ll learn how to build a deep facial recognition application to authenticate into an application. You ll start off by building a model using Deep Learning with Tensorflow which replicates what is shown in the paper titled Siamese Neural Networks for Oneshot Image Recognition. Once that s all trained you ll be able to integrate it into a Kivy app and actually authenticate In Part 5 you ll go through how to: 1. Making Predictions with a Siamese Neural network 2. Calculating Precision and Recall 3. Saving and reloading the model from a h5 file Get the code: Links Paper: Labelled Faces in the Wild: Chapters: 0:00 Start 0:28 Explainer 1:00 Tutorial Kickoff 2:02 Import Metrics 4:04 Get Data Batches 7:18 Make Predictions 12:31 Calculate Precision and Recall 16:3
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