robot-log-visualizer
implements a python visualizer to display the data logged with
YarpRobotLoggerDevice
application.
Please follow one of the following methods to use the software
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 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
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
Once you have installed the robot-log-visualizer
you can run it from the terminal
robot-log-visualizer.webm
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-visualizer
only supports reading .mat
file version 7.3 or newer.
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
.
All types of issues are welcome.
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.
- Giulio Romualdi (@GiulioRomualdi)