Facebook Open Sources Detectron Object Detection
Facebook Open Sources Detectron Object Detection
Written by Alex Armsrtong   
Tuesday, 23 January 2018

The way big companies are open sourcing significant AI is both gratifying and slightly worrying. AI is the biggest revolution since we discovered fire and started making tools. FaceBook AI Research has added to the list of what is available by open sourcing its Detectron project.

detectron

 

Object detection was until recently a cutting edge research endeavour that mostly didn't work well enough for any real applications. Today we have a range of techniques, some, but not all, based on neural networks, that are good enough to use as the basis of other programs. Facebook's Detectron project has been the basis for many other of its AI projects and now you can download and use the code under an Apache 2.0 licence, so no patent worries, from GitHub. You do need a machine that has a GPU, NVIDIA CUDA, for it to work, however.

"These algorithms, powered by Detectron, provide intuitive models for important computer vision tasks, such as instance segmentation, and have played a key role in the unprecedented advancement of visual perception systems that our community has achieved in recent years.

Beyond research, a number of Facebook teams use this platform to train custom models for a variety of applications including augmented reality and community integrity. Once trained, these models can be deployed in the cloud and on mobile devices, powered by the highly efficient Caffe2 runtime."

It is based on a number of types of neural networks and it is written in Python and uses the Caffe2 deep learning library. It includes an implementation of Mask R-CNN, a convolutional neural network that will place a mask around objects recognized in the image. It is currently regarded as state of the art, winning the Marr Prize in 2017. It also implements five other very good networks just in case you want to experiment.maskRCNN

Given all of the open source software from Google and others, we almost have difficulty choosing what to use, but in most cases the hardware demands are high and this is still a limiting factor in what you can invent. You can't, for example, run any of this on, say, a Raspberry Pi. You are going to need a cloud-based service for most practical applications.

More Information

Facebook open sources Detectron

https://github.com/facebookresearch/Detectron

Related Articles

Google's Computer Vision Box Just $45

You Only Look Once - Fast Object Detection

Predator better than Kinect?

Alien FaceHugger v Predator - Face Tracking Hots Up

Google Releases Object Detector Nets For Mobile


To be informed about new articles on I Programmer, sign up for our weekly newsletter, subscribe to the RSS feed and follow us on, Twitter, FacebookGoogle+ or Linkedin.

 

Banner


Uber Makes GPS More Accurate
21/04/2018

The big problem with GPS, amazing though it is, comes down to accuracy. It just never seems to be quite accurate enough. Uber engineers now think they have a software way of making it quite a bit more [ ... ]



Azure Extends Intelligent Cloud and Intelligent Edge
08/05/2018

Attendees at the first day of Microsoft's Build 2018 developer conference, heard CEO Satya Nadella announce, "The world is a computer". He also made many references to "the intelli [ ... ]


More News

 
 



Comments




or email your comment to: comments@i-programmer.info

 

Last Updated ( Tuesday, 23 January 2018 )
 
 

   
Banner
RSS feed of news items only
I Programmer News
Copyright © 2018 i-programmer.info. All Rights Reserved.
Joomla! is Free Software released under the GNU/GPL License.