Search Results for "machine vision"

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine...

Caffe is an open source deep learning framework that’s focused on expression, speed and modularity. It’s got an expressive architecture that encourages application and innovation, and extensible code that’s great for active development. Caffe also offers great speed, capable of processing over 60M images per day with a single NVIDIA K40 GPU. It’s arguably one of the fastest convnet implementations around. Caffe is developed by the Berkeley AI Research (BAIR)/The Berkeley Vision and...

This project is an API I have created over the years and ported to several languages. It contains tools, structures, and algorithms I have found useful in graphics, robotics, and machine vision applicaitons. Points, Lines, Vectors, etc.

This project aims to provide a generic machine vision platform. We welcome all developer to share and to learn create plug-in for the community. The founders of this project are A.N.Y. Albert/Nelson/Yuzzairee