easy_perception_deployment is a ROS2 package that accelerates the training and deployment of Computer Vision (CV) models for industries.

This package claims to be in the Quality Level 4 category, see the Quality Declaration for more details.

This section lists steps on how to build easy_perception_deployment package using ROS2 build tools.

# Create ROS2 workspace
cd $HOME
mkdir -p epd_ros2_ws/src && cd epd_ros2_ws/src

# Download fast and shallow copy of easy_perception_deployment
git clone https://github.com/ros-industrial/easy_perception_deployment.git \
--depth 1 --single-branch
cd easy_perception_deployment/easy_perception_deployment

# Start up GUI interface.
bash run.bash

Check out the full documentation here.

We welcome contributions! Please see the contribution guidelines.

For feature requests or bug reports, please file a GitHub Issue.

For general discussion or questions, please use GitHub Discussions.

We would like to acknowledge the Singapore government for their vision and support to start this ambitious research and development project, "Accelerating Open Source Technologies for Cross Domain Adoption through the Robot Operating System". The project is supported by Singapore National Robotics Programme (NRP).

Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of the NR2PO.