SeetaFace2 Detection implements a CNN based Face Detector, which detects faces accurately and effciently and achieves Real-Time performance on PC.
The discrete ROC curve on FDDB of the SeetaFace2 Detection is shown below:
Taking VGA input images(640x480) as example, SeetaFace2 Detector runs with 77FPS on i7-6700 CPU and 37FPS on HUAWEI meta8 mobile. As shown, SeetaFace2 Detection achieves promising accuracy with fast detection speed.
To detect faces, one should first instantiate an object of seeta::FaceDetector2 and initialize it with path of the model file. Then one can call Detect to detect faces. See more details at the following links.
SeetaFace2 Detection only support 1 instance in single application.
SeetaFace2 Detection is released under the BSD 2-Clause license.