This repository implements a paper for 3D bounding box estimation combining deep learning with geometric principles. The model takes 2D images and predicts 3D bounding boxes for detected objects by leveraging both neural network predictions and camera geometry. It uses YOLOv3 for initial object detection and a separate network for pose estimation, with applications in autonomous driving and scene understanding.