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A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Built using dlib's state-of-the-art face recognition built with deep learning. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark. This also provides a simple face_recognition command line tool that lets you do face recognition on a folder of images from the command line!
The Face Recognition SDK with face liveness, face matching and face compare by employing face anti-spoofing, face landmarking and face feature extraction
The world's simplest facial recognition api for Python and the command line. python machine-learning face-recognition face-detection. Updated 2 weeks ago. Python. deepinsight / insightface. Star 21.9k. Code. Issues. Pull requests. State-of-the-art 2D and 3D Face Analysis Project.
FaceRecognition. Machine Learning project to recognise people from an Image just like facebook. Built with the help of dlib's state-of-the-art face recognition built with deep learning. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark. Dependencies: Python 3.x. Numpy. Scipy. Scikit-learn. dlib.
3. Real time face detection. As previously, the algorithm is pretty easy to implement. We are also implementing a lighter version by detecting only the face. Dlib makes it really easy to detect facial keypoints too, but it’s another topic.
Differentiate between face recognition and face verification; Implement one-shot learning to solve a face recognition problem; Apply the triplet loss function to learn a network's parameters in...
Face recognition is the most prominent biometric technique for identity authentication and is widely used in applications, such as access control, time attendance, finance, law enforcement, and public security.
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. Torch allows the network to be executed on a CPU or with CUDA.
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.
