Docker and Flask based API layer + data ingestion pipeline for the Facenet-PyTorch facial recognition library. I.e. simple ML deployment for matching pairs of photos
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Updated
Jun 13, 2024 - Python
Docker and Flask based API layer + data ingestion pipeline for the Facenet-PyTorch facial recognition library. I.e. simple ML deployment for matching pairs of photos
This model implements an automated pipeline for face detection, embedding generation, and clustering using deep learning and unsupervised machine learning techniques. The model utilizes MTCNN (Multi-task Cascaded Convolutional Neural Networks) for face detection, and InceptionResNetV1
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