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.
Download and run online this app named MTCNN Face Detection Alignment with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS
Ad
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. The repository includes Caffe / MATLAB code, support scripts, and instructions for dependencies.
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.
