GitHub - Shaluols/Objects-detection-for-RoboCup-MSL: Objects detection based on RGB-D and Jetson TX1 during the RoboCup MSL

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Objects detection based on RGB-D and Jetson TX1 during the RoboCup MSL

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This project is for the balls and obstacles detection during the RoboCup MSL competition based on the libfreenect2 driver
It should be runned on the Jetson TX1 

Intall requirements:
Hardware:
Jetson TX1, Kinect V2
Software:
CUDA 7.0, libfreenect2 driver


Install:
1. Install CUDA on TX1
2. install libfreenect2 on TX1 http://github.com/OpenKinect/libfreenect2

if you prepared the environments, you can:
catkin_make
source devel/setup.bash
roslaunch kinect2 kinect2_driver

The detection results are published by ROS topic.

In the launch file you can chane the parameters to see the medium image results and pointcoud.