And you are here why?

There is a lot of stuff out there when it comes to doing Video Analysis based on Deep Learning (use The Googles). It’s always been a bit of a pain to setup though — as with most things Deep Learning, it’s largely a case of Do It Yourself. Install the packages, re-install them because you didn’t get it quite right, build your models, start training them, reinstall the packages because you didn’t get the GPU version…. you get the point, it takes a while to just get stuff setup before you can even start doing anything. Or, it  used  to take a while. Thanks to  Akshay Bhat ,  herewith a one-stop shop for all your  Deep Video Analytics  needs . In one single set of docker containers, you get everything you need to do DL based video analytics, from importing, to analyzing, and thence to searching. To begin with, you import all the videos you want to process, either directly, from YouTube, or S3/GS/etc. Once you’ve imported them, the project comes with a b...

Speech to text is getting easier (and may even be easy these days) but identifying sounds by category — dog barking? music playing? street noise? — is still hard. OK,   was   hard —  the folks at #DeviceHive have a nifty #MachineLearning toolkit that does most of this . There is   #TensorFlow , source code, GUIs, examples, and, to boot, an integration with their IoT platform (°) It’s quite easy to put together, surprisingly so. Then again, that what a lot of this is like these days — Evolutionary updates to software that reveal surprisingly nifty capabilities… —  https://goo.gl/eWdzY1 (°) Yes, yes,   #SkyNet , Big-brother, etc.