Hi, I'm Niels, part of the community science team at Hugging Face.
I noticed this model card was missing some information. This PR:
- Adds a description of Boxer and BoxerNet.
- Links the model card to the corresponding paper, project page, and GitHub repository.
- Adds the `object-detection` pipeline tag for better discoverability.
- Adds a sample usage section using the CLI commands found in the README.
- Adds a citation section.
# Overview
Boxer lifts 2D object detections into static, global, fused 3D oriented bounding boxes (OBBs) from posed images and semi-dense point clouds, focused on indoor object detection.
# Usage
See the main [github repo](https://github.com/facebookresearch/boxer) for instructions on how to install and run inference with Boxer.
