benjaminrwilson/torchbox3d

3D Perception toolbox.

31
/ 100
Emerging

This helps train and evaluate 3D object detection models for autonomous vehicles using sensor data. It takes in raw sensor data from datasets like Argoverse 2 and outputs trained models capable of identifying objects in 3D space. This is intended for researchers and engineers developing perception systems for self-driving cars.

No commits in the last 6 months.

Use this if you are developing or experimenting with 3D object detection algorithms for autonomous driving and need a robust framework for training and evaluating models.

Not ideal if you are working with 2D image data, need real-time inference on an embedded system, or are not focused on autonomous driving applications.

autonomous-driving 3d-object-detection lidar-perception robotics vehicle-sensor-data
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 9 / 25

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Stars

16

Forks

2

Language

Python

License

MIT

Last pushed

Jul 24, 2024

Commits (30d)

0

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