FaceChain vs OpenFace
Overview
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CLI (Node.js)
Manual
Detailed Comparison
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. | 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. |
Detect faces with pre-trained models; Transform faces for the neural network; Use deep neural networks to reprsent or embed the face on a hypersphere; Apply favorite clustering or classification techniques to the features to complete recognition task | Create your digital-twin;
Supports a series of new style models in a plug-and-play fashion;
Supports customizable prompts |
Statistics | |
GitHub Stars 15.4K | GitHub Stars 9.5K |
GitHub Forks 3.6K | GitHub Forks 891 |
Stacks 31 | Stacks 1 |
Followers 104 | Followers 2 |
Votes 3 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
| No integrations available | |
What are some alternatives to OpenFace, FaceChain?
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.
FaceFusion
It is a next-generation face swapper and enhancer that uses artificial intelligence to create realistic and high-quality results.
