rosbags-image 0.9.0

Pure Python library to convert ros image message data from and to opencv2.

Rosbags-image

Rosbags-image is the pure python library for interacting with image or compressed image messages and it aims to provide the same functionality as cv_bridge. It is part of the larger Rosbags ecosystem.

Rosbags-image does not have any dependencies on the ROS software stacks and can be used on its own or alongside ROS1 or ROS2.

Getting started

Rosbags-image is published on PyPI and does not have any special dependencies. Simply install with pip:

pip install rosbags-image

Convert sensor_msgs/msg/Image message into OpenCV image:

from rosbags.image import message_to_cvimage

# msg is rosbags Image or CompressedImage message instance
msg = ...

# get opencv image without any conversions
img = message_to_cvimage(msg)

# get opencv image and convert to bgr8 color space
img = message_to_cvimage(msg, 'bgr8')

Documentation

Read the documentation for further information.

Contributing

Thank you for considering to contribute to rosbags-image.

To submit issues or create merge requests please follow the instructions provided in the contribution guide.

By contributing to rosbags-image you accept and agree to the terms and conditions laid out in there.

Development

Clone the repository and setup your local checkout:

git clone https://gitlab.com/ternaris/rosbags-image.git

cd rosbags-image
python -m venv venv
. venv/bin/activate

pip install -r requirements-dev.txt
pip install -e .

This creates a new virtual environment with the necessary python dependencies and installs rosbags-image in editable mode. The rosbags-image code base uses pytest as its test runner, run the test suite by simply invoking:

pytest

To build the documentation from its source run sphinx-build:

sphinx-build -a docs public

The entry point to the local documentation build should be available under public/index.html.

Support

Professional support is available from Ternaris.