https://github.com/prbonn/geometrical_stem_detection
Code for fast and accurate geometrical plant stem detection
https://github.com/prbonn/geometrical_stem_detection
Last synced: 3 months ago
JSON representation
Code for fast and accurate geometrical plant stem detection
- Host: GitHub
- URL: https://github.com/prbonn/geometrical_stem_detection
- Owner: PRBonn
- License: bsd-2-clause
- Created: 2018-04-09T08:40:14.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2023-09-09T15:52:34.000Z (over 2 years ago)
- Last Synced: 2025-09-05T18:48:47.245Z (9 months ago)
- Language: C++
- Size: 9.14 MB
- Stars: 26
- Watchers: 9
- Forks: 12
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
README
# Geometrical Stem Detection
## Description
The program allows to identify, in real-time, the stems of sugarbeets using a top-down image.
The idea is to first detect the leaves of the plant using a geometrical approach.
The stem is then derived out of the intersection of all leaf directions.
## Key contributors
* Ferdinand Langer (ferdinand.langer@uni-bonn.de)
* Leonard Mandtler (mandtler@uni-bonn.de)
## Related publications
TODO
## Dependencies
* catkin
* boost >= 1.54
* OpenCV >= 3.0
* yaml-cpp
* ROS Kinetic
## Installation guide
On Ubuntu 16.04, most of the dependencies can be installed from the package manager:
```bash
sudo apt install git libopencv-dev catkin
```
You can install yaml-cpp by following the instructions at [yaml-cpp](https://github.com/jbeder/yaml-cpp)
Additionally, make sure you have [catkin-tools](https://catkin-tools.readthedocs.io/en/latest/) installed:
```bash
sudo apt install python-pip
sudo pip install catkin_tools
```
If you do not have a catkin workspace already, create one:
```bash
cd
mkdir catkin_ws
cd catkin_ws
mkdir src
catkin init
```
Clone the repository in your catkin workspace:
```bash
cd ~/catkin_ws/src
git clone https://github.com/Photogrammetry-Robotics-Bonn/geometrical_stem_detection.git
```
Then, build the ROS nodes for vegetation segmentation and stem detection:
```bash
catkin build piros_vegsec piros_stemdet
```
## How to use it
This whole project is meant to run on a mobile ROS platform performing the stem detection.
An example bag file is provided in the `piros_stemdet/example` directory. To run
the program on the bag run:
```bash
roslaunch piros_stemdet example.launch
```
For each image, all the detected stems are published on the topic `/piros_stemdet/stem`
and printed on the terminal. For a visual representation, refer to the topic `/piros_stemdet/mask`.
For further information about the single nodes, refer to [piros_vegsec README](piros_vegsec/README.md)
and [piros_stemdet README](piros_stemdet/README.md).
## License
This project is licensed under the FreeBSD License. See the LICENSE.txt file for details.