OpenFaceWhat is OpenFace?
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.
OpenFace is a tool in the Text & Language Models category of a tech stack.
Key Features
Detect faces with pre-trained modelsTransform faces for the neural networkUse deep neural networks to reprsent or embed the face on a hypersphereApply favorite clustering or classification techniques to the features to complete recognition task
OpenFace Pros & Cons
Pros of OpenFace
- ✓Open Source
Cons of OpenFace
No cons listed yet.
OpenFace Alternatives & Comparisons
What are some alternatives to OpenFace?
Rekognition API
ReKognition API offers services for detecting, recognizing, tagging and searching faces and concepts as well as categorizing scenes in any photo, through a RESTFUL API. We process and analyze photos from anywhere, so you can mix and match photo sources with user IDs, which can enable you to, say, recognize objects in Facebook and Flickr photos.
Kairos API
Commercial-grade emotion analysis, face detection and recognition engine provided as a public API. Kairos takes the complexity out of facial recognition and emotion analysis so you can focus on building a great product.
FaceChain
It is a deep-learning toolchain for generating your Digital-Twin. With a minimum of 1 portrait-photo, you can create a Digital-Twin of your own and start generating personal portraits in different settings.
