🤖 robot-log-visualizer
robot-log-visualizer implements a python visualizer to display the data logged with
YarpRobotLoggerDevice application.
📝 Install
Please follow one of the following methods to use the software
Install with conda (recommended)
Assuming that you have conda installed, you can create a new environment and install the robot-log-visualizer with the following commands:
conda create -n visualizer-env
conda activate visualizer-env
and you can install the robot-log-visualizer with the following command
conda install -c robotology robot-log-visualizer
🧚 Install with pixi
You can also run the application using pixi:
pixi run robot-log-visualizer
See the pixi homepage: pixi.
🐍 Install from pip with apt python
Install python3, if not installed (in Ubuntu 20.04):
sudo apt install python3.8 python3-virtualenv swig
Create a virtual environment and activate it. For example:
python3 -m venv visualizer-env
. visualizer-env/bin/activate
Inside the virtual environment, install the application from pip:
pip install robot-log-visualizer
👷 Install the latest version (not recommended)
If you want to use the latest feature of the robot-log-visualizer you can install it with the
following command
python -m pip install git+https://github.com/ami-iit/robot-log-visualizer.git
🏃 Usage
Once you have installed the robot-log-visualizer you can run it from the terminal.
You can navigate the dataset thanks to the slider or by pressing Ctrl-f and Ctrl-b to move
forward and backward.
[!IMPORTANT]
robot-log-visualizeronly supports reading.matfile version 7.3 or newer.
💡 Environment variables
robot-log-visualizer looks for the model in the folders pointed by one of the following environment variables:
GAZEBO_MODEL_PATH, ROS_PACKAGE_PATH, AMENT_PREFIX_PATH Please remember to add your model folder to one of these
environment variables.
For instance, if you have a model in the folder ~/my-models you can add it to the GAZEBO_MODEL_PATH with the
following command
export GAZEBO_MODEL_PATH=${GAZEBO_MODEL_PATH}:~/my-models
Where ~/my-models is the path to your models folder that is structured as follows
tree ~/my-models
~/my-models
├── model1
│ ├── model.config
│ └── model.urdf
└── model2
├── model.config
└── model.urdf
And the name of the robot stored in the mat file is model1 or model2.
🐛 Bug reports and support
All types of issues are welcome.
📝 License
Materials in this repository are distributed under the following license:
All software is licensed under the BSD 3-Clause License. See LICENSE file for details.
🧑💻 Maintainer
- Giulio Romualdi (@GiulioRomualdi)
1 maintainer
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