skhadem/3D-BoundingBox
Deep learning model for estimating 3D bounding boxes of objects in images using PyTorch.
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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.
Frequently asked
- What is skhadem/3D-BoundingBox?
- Deep learning model for estimating 3D bounding boxes of objects in images using PyTorch.
- Is 3D-BoundingBox open source?
- Yes — skhadem/3D-BoundingBox is open source, released under the MIT license.
- What language is 3D-BoundingBox written in?
- skhadem/3D-BoundingBox is primarily written in Python.
- How popular is 3D-BoundingBox?
- skhadem/3D-BoundingBox has 493 stars on GitHub.
- Where can I find 3D-BoundingBox?
- skhadem/3D-BoundingBox is on GitHub at https://github.com/skhadem/3D-BoundingBox.