This is a package combining darknet_ros and iai_kinect2 in order to get the 3D location of the objects detected.
It will automatically send tf transforms between the objects detected and kinect2_link.
Remember to downgrade the gcc and g++ version of your system to 7 (my Ubuntu 20.04 is default 8)
libfreenect2 (follow the official steps to install libfreenect2)
python3-pcl (if you are using Ubuntu 18.04 with ROS Melodic, pip install python-pcl)
pip install python3-pcl
ros_numpy (if you are using Ubuntu 18.04 with ROS Melodic, sudo apt-get install ros-melodic-ros-numpy)
sudo apt-get install ros-noetic-ros-numpy
darknet_ros (This links to my forked repo. I modified it for supporting my RTX 30 laptop)
iai_kinect2 (This links to my forked repo. I modified it for supporting Ubuntu 20.04)
If you haven't cloned the dependencies packages yet, clone them in your workspace first.
cd <your_ws>/src
git clone --recursive https://github.com/0nhc/darknet_ros.git
git clone https://github.com/0nhc/iai_kinect2.git
Then, you can continue installing depth_yolo
git clone https://github.com/0nhc/depth_yolo.git
cd ..
catkin_make -DCMAKE_BUILD_TYPE=Release
source devel/setup.bash
It will automatically launch darknet_ros node(yolo v3) and kinect2_bridge.
roslaunch depth_yolo depth_yolo.launch
Contributions are welcome! Please read the contributing guidelines before submitting a pull request.
This project is licensed under the GPL 3 License. See LICENSE for more information.
Copyright (C) 2023 0nhc
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program.If not, see <https://www.gnu.org/licenses/>.
I would like to thank the following people for their contributions to this project:
Herman Ye
I would like to take a moment to express my sincere gratitude to Herman Ye for his invaluable contribution to this project's README. His attention to detail and clear communication have greatly improved the overall quality of the documentation, making it easier for others to understand and contribute to the project.
Herman Ye's dedication and hard work have not gone unnoticed, and I am truly grateful for his efforts. Thank you, Herman Ye, for your outstanding work and for being an integral part of this project's success.for implementing the search functionality.