GitHub topics: inceptionresnetv1
anirudh-muthusundaram/Face_Detection_and_Clustering_using_MTCNN_and_KMeans_with_Deep_Embeddings
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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MarkhamLee/Facial-Recognition-Facenet-Pytorch
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
Language: Python - Size: 4.87 MB - Last synced at: 4 days ago - Pushed at: 11 months ago - Stars: 2 - Forks: 3
