I am interested in applying deep learning in the field of robotics in order to obtain real world applications.
A project i am working on consists of a robot that can detect weeds and exterminate them.the robot will use the ROS framework for navigation and the like.
I want to apply what i learned here about the fast.ai library in that project,and my question is whether or not it is feasible,since ros uses python 2.7 while fast.ai and pytorch use python 3
ps: ROS 2.0 is not an option , at least for this particular project