Blogs

Deeplearning4j , OpenCV and real time object recognition

kwatters's picture

So...  it works! sweet! Here's the proof!

 

I've integrated Deeplearning4j into MyRobotLab, so now we can take advantage of neural networks to help us recognize objects in video streams in real time.  Deeplearning4j is an open source project and you do not need to be connected to the internet to use it, except for the first time it downloads the models.


Newton is waiting for DL4J

Bretzel_59's picture

Newton is waiting for DL4J !!! Inmoov CUDA ready :D

 


What's Left For Manticore Release ?

GroG's picture

Ahoy !

I'd like to know what we need to focus on to get Manticore release done.  There has been a lot of really great work put into this, but what things need to be tied up before an official release ?

This is the Project Page.


OpenNI and InMoov Arm

nicolas taguet's picture

This is a great demonstration of nicolas taguet's work.


JapanExpo - in Paris

moz4r's picture

 

Cool video shared by our Moz4r who brought Rachel ! 
J5 apparently uses Mrl too Yay !

reposted by GroG


WebRTC

GroG's picture

This is a post to accumulate information regarding WebRTC.

WebRTC is the realitively new concept of peer2peer (like) connections from one browser to another.
On a low level it uses session management and websockets to exchange data.  Typically, it seems to use a extremely simple relay or proxy server.  This allows potentially any browser to talk to any other browser through NAT traversal. 


Cascading Detach

GroG's picture

This is a post to explore the possibility of a "cascading detach".  This is when a Service is released from Mrl and is currently attached to other services.  The goal will be to release the service as cleanly as possible, and in the process notify other Services it has been released.  Potentially, this notification will "cascade" into mutliple detach calls to successfully remove the target Service.

Setup - Here is setup of the problem - ***Mats can you add to the script? to get the initial setup?***

[[/home/GroG/detach.py]]