Yann LeCun gave a webinar for NVidia a few weeks ago[1] which used a fairly high-powered laptop to do real time recognition of objects from a video feed. Overfe

Yann LeCun gave a webinar for NVidia a few weeks ago[1] which used a fairly high-powered laptop to do real time recognition of objects from a video feed. Overfeat[2] has also had this for a while. There are some projects which can run pretrained deep nets in a few seconds on a smartphone, but they are definitely not "real-time" to my knowledge, though NVidia's upcoming unification of Tegra with their desktop line (and CUDA support!) may change this in a hurry. sklearn-theano[3] doesn't support the "video stream" classification that Overfeat does, but we are planning to add it in the near future cause it is awesome :) [1] http://on-demand-gtc.gputechconf.com/gtcnew/on-demand-gtc.php?searchByKeyword=LeCun&searchItems=&sessionTopic=&sessionEvent=&sessionYear=&sessionFormat=&submit=&select=+ http://on-demand-gtc.gputechconf.com/gtcnew/on-demand-gtc.ph... [2] http://cilvr.nyu.edu/doku.php?id=code:start http://cilvr.nyu.edu/doku.php?id=code:start [3] http://sklearn-theano.github.io/ http://sklearn-theano.github.io/