Deep Object Pose Estimation (DOPE) performs detection and 6-DoF pose estimation of known objects from single RGB images using a deep neural network. The repository provides complete code for training custom models, running inference, evaluating results numerically, and generating synthetic training data. It also includes ROS1 and ROS2 integration packages for real-time robot perception applications.