OAID / Facerecognition
This is an implematation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenenCNN algorithm.
Stars: ✭ 137
Programming Languages
cpp
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FaceRecognition
FaceRecognition is an implementation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenedCNN algorithm.
The release version is 0.1.3, is based on ROCK960 Platform, target OS is Ubuntu 16.04.
- MTCNN is a deep cascaded multi-task framework to boost up face detection performance. See also OAID/FaceDetection.
- Lightened CNN is a light CNN framework to learn a compact embedding on the large-scale face data with massive noisy labels. See also LightenedCNN.
Documents
Release History
Version 0.1.3 - 2018-2-1
Fix bugs in accuracy test. Add FaceRecognition test control.
Version 0.1.2 - 2018-1-26
Add support to test MTCNN and lightenedCNN. Update log and time control.
Version 0.1.1 - 2017-12-29
Add support to set the max number of faces.
Version 0.1.0 - 2017-10-23
Initial version supports face register, face detection, and face recognization.
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