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Q1. What is DRV?
A1. DRV stands for Deep Robot Vision. In this program, we use deep learning technics to boost the performance of robot vision, together with ROS.
Q2. What can DRV do?
A2. Specifically, we use deep learning to perform object recognition, object tracking, and face recognition. Some of the state-of-the-art technics, including py_faster_rcnn, GOTURN and VGG_face were embedded in this program, which works in ROS framework. More functions and algorithms will be added and this can be realized due to the flexible structure of the program.
Q2. What do we need to run the code?
A2. Certain hardware will make life easier to run the code, we offer a list of hardware we use, please refer here. However, you can also build your own system following the list, most of the equipment we use can be bought from the internet. As for the software, refer the readme is OK.
Q3. What license do we use?
A3. We use the MIT license for the code. For detail, refer https://www.tldrlegal.com/l/mit. As for the figures and descriptions in this wiki, please contact [email protected] first.