Search Results for "redmon"

Darknet is an open source neural network framework written in C and CUDA, developed by Joseph Redmon. It is best known as the original implementation of the YOLO (You Only Look Once) real-time object detection system. Darknet is lightweight, fast, and easy to compile, making it suitable for research and production use. The repository provides pre-trained models, configuration files, and tools for training custom object detection models.

...This current version includes updates to the retrospective and real time components, several efficiency enhancements and a user configuration as implemented by Rob Redmon and Janet Machol of NOAA. This is a community model. Users are invited to suggest and provide improvements. Documentation includes a model description and instructions for running the software. The README is available here: http://sourceforge.net/p/ovation-prime/code/HEAD/tree/trunk/README.pdf?format=raw A web interface for running the model for historical periods is available here: http://sd-www.jhuapl.edu/Aurora/ovation_prime/prime_display.html Realtime versions are running here: http://www.ngdc.noaa.gov/stp/ovation_prime/ http://www.swpc.noaa.gov/ovation/

hylaPEx is a client for hylafax totally written in python. It can read and view the sended and received fax. Support either tiff and ps/pdf formats. Can use redmon for create a virtual fax print. Support shared contacts with a mysql db.