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  1. face-recognition. Here are 5,149 public repositories matching this topic... Language: All. Sort: Most stars. ageitgey / face_recognition. Star 52.4k. Code. Issues. Pull requests. The world's simplest facial recognition api for Python and the command line. python machine-learning face-recognition face-detection. Updated last month. Python.

  2. When you install face_recognition, you get two simple command-line programs: face_recognition - Recognize faces in a photograph or folder full for photographs. face_detection - Find faces in a photograph or folder full for photographs.

  3. A Face Recognition Siamese Network implemented using Keras. Siamese Network is used for one shot learning which do not require extensive training samples for image recognition. deep-learning keras one-shot-learning siamese-network face-recognition-python. Updated on Nov 29, 2020.

  4. Real-time face recognition project with OpenCV and Python. Links for complete Tutorial: https://www.hackster.io/mjrobot/real-time-face-recognition-an-end-to-end-project-a10826 https://www.instructables.com/id/Real-time-Face-Recognition-an-End-to-end-Project/.

  5. Apr 27, 2021 · We studied github repositories of real-time open-source face recognition software and prepared a list of the best options: 1.Deepface. This library supports different face recognition methods like FaceNet and InsightFace.

  6. State-of-the-art face recognition models are trained on millions of real human face images collected from the internet. DigiFace-1M aims to tackle three major problems associated with such large-scale face recognition datasets.

  7. CompreFace provides REST API for face recognition, face verification, face detection, landmark detection, age, and gender recognition and is easily deployed with docker.

  8. Jan 19, 2016 · OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google.

  9. Feb 7, 2018 · Face recognition identifies persons on face images or video frames. In a nutshell, a face recognition system extracts features from an input face image and compares them to the features of labeled faces in a database.

  10. Deep Learning for Face Recognition. GitHub Gist: instantly share code, notes, and snippets.