demonstration application
This is our May 2015 top neural network for large-scale object recognition. It has been trained to recognize most typical home indoor/outdoor objects in our daily life. It was trained with more that 10 M images on a private dataset. It can serve as good pair of eyes for your machines, robots, drones and all your wonderful creations!
See it in action in this video #1, and also this other video #2.
This application is for tinkerers, hobbiest, researchers, evaluation purpose, non-commercial use only.
It has been tested on OS X 10.10.3 and Linux. It can run at > 17 fps on a MacBook Pro (Retina, 15-inch, Late 2013) on CPU only.
install:
Install Torch7: http://torch.ch/
Please download files: model.net, categories.txt and stat.t7 from https://www.dropbox.com/sh/qw2o1nwin5f1r1n/AADYWtqc18G035ZhuOwr4u5Ea?dl=0
Linux camera install: cd lib/ then make; make install. Note that Makefile wants Torch7 installed in /usr/local/bin, otherwise please change accordingly!
run:
To run with a webcam and display on local machine: qlua run.lua
Zoom window by 2 (or any number): qlua run.lua -z 2
usage:
Feel free to modify and use for all you non-commercial projects. Interested parties can license this and other Teradeep technologies by contacting us at info@teradeep.com
most importantly:
Have fun! Life is short, we need to produce while we can!
credits:
Aysegul Dundar, Jonghoon Jin, Alfredo Canziani, Eugenio Culurciello, Berin Martini all contributed to this work and demonstration. Thank you all!