Search Results for "task"

...Pretrained image classification networks have already learned to extract powerful and informative features from natural images. Use them as a starting point to learn a new task using transfer learning. Inputs are RGB images, the output is the predicted label and score.

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. ...

The VRN (Volumetric Regression Network) repository implements the “Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression” method. Instead of explicitly fitting a 3D model via landmark estimation and deformation, VRN treats the reconstruction task as volumetric segmentation: it learns a CNN to regress a 3D volume aligned to the input image, and then extracts a mesh via isosurface from that volume. The network is unguided (no 2D landmarks as intermediate). The mesh surfaces can be textured (in MATLAB branch) and colored. Docker container provided for easy CPU deployment.

SILA is a system for automated annotation of bacterial and archaeal genomes. It provides accurate gene prediction using a combination of tools (Prodigal and HGF) and a web site for task management and visualization of annotation. This project is in alpha stage. Please use the online service available at: http://www.bioinfo.ufpr.br/SILA/login.jsp Documentation (portuguese only): http://hdl.handle.net/1884/34801

...The software architecture deploys the modern model-view-controller, unit testing, and function handle programming concepts to isolate each quantitative imaging analysis task, to validate if their relevant data and algorithms are fit for use, and to plug in new modules.

...NaRIBaS does not replace a simulation software and specific analysis tools like Gromacs, but it allows iterative repetition of tasks while changing specific input parameter. The toolbox is to be understood as a scripting framework rather than a black-box software. Task specific input and preparation or analysis function, are easy expandable to meet the scientific characteristic of constant changing properties. Concepts for efficiently storing and analysing large files in conjunction with graphical visualization and numerical data processing are presented in a Manual. A documented script collection that allows reproducing all simulations and analysis results presented in the Doctoral thesis of the author.

A lightweight, simple and easy to use embedded system task scheduler. RataOS is written as a high level C, with a simple HAL & API structure, allowing it to be ported between embedded devices easily.

Titan allows service-oriented processing of context recognition applications on Wireless Sensor Networks. It includes an execution environment developed for TinyOS and a Java ME (Personal Profile) Network Manager intended to be run on a mobile phone.

This project consists in matlab scripts to create and train an Elman network. The task assigned to the network is to transform the orthographic form of a verb presented in the infinitive into its past participle and vice versa M.Carastro & R.Scanavino