This is the Linux app named MTCNN Face Detection Alignment whose latest release can be downloaded as MTCNN_face_detection_alignmentsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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MTCNN Face Detection Alignment
DESCRIPTION
MTCNN_face_detection_alignment is an implementation of the “Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks” algorithm. The algorithm uses a cascade of three convolutional networks (P-Net, R-Net, O-Net) to jointly detect faces (bounding boxes) and align facial landmarks in a coarse-to-fine manner, leveraging multi-task learning. Non-maximum suppression and bounding box regression at each stage. The repository includes Caffe / MATLAB code, support scripts, and instructions for dependencies. Non-maximum suppression and bounding box regression at each stage. Online hard sample mining to improve training robustness.
Features
- Joint detection + alignment in a cascaded three-stage network
- Online hard sample mining to improve training robustness
- Non-maximum suppression and bounding box regression at each stage
- Support for landmark localization (e.g. eyes, nose, mouth)
- Support code for both Linux and Windows Caffe backends
- Flexible deployment (MATLAB / Caffe)
Programming Language
MATLAB
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/mtcnn-face-detection.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
