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human_detector repositoryfake_target_detector human_detector human_model_gazebo point_cloud_reducer target_object_detector |
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Repository Summary
Description | Human detector package for Tshukuba Challenge |
Checkout URI | https://github.com/CIR-KIT/human_detector.git |
VCS Type | git |
VCS Version | indigo-devel |
Last Updated | 2017-07-02 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
fake_target_detector | 0.1.0 |
human_detector | 0.1.0 |
human_model_gazebo | 0.1.0 |
point_cloud_reducer | 0.1.0 |
target_object_detector | 0.1.0 |
README
human_detector
Summary
Human detector packages for Tshukuba Challenge indluding detector, sensor tuning and human model.
- target_obejct_detector : Core program for human detection.
- fake_target_detector : Fake detector for debugging.
- point_cloud_reducer : Reduce the number of points in the cloud to discrease computation time if needed.
- human_model_gazebo : Human model (URDF) to be detected in GAZEBO.
Installation
1. Create catkinized workspace.
2. Clone this repository.
$ cd <catkin_ws>/src
$ git clone https://github.com/CIR-KIT/human_detector.git
3. Download required packages by wstool.
$ cd <catkin_ws>
$ wstool init src
$ wstool merge -t src src/human_detector/human_detector.rosinstall
$ wstool update -t src
4. Download depended packages by rosdep.
$ cd <catkin_ws>
$ rosdep install -i -r -y --from-paths src --ignore-src
5. Build packages, and set the path for the packages.
$ cd <catkin_ws>
$ catkin_make
$ source devel/setup.bash
CONTRIBUTING
No CONTRIBUTING.md found.
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