Unity-Technologies / Unity-Technologies/sentis-samples
Help with implementing YOLO3D inference in Unity (Sentis)
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- Dominant language
- C#
- Stars
- 358
- Forks
- 73
- PR merge metrics
- No merged PRs in 30d
Description
Hi,
I’m porting the YOLO3D (YOLOv5 + Regression model) inference from yolo3d-lightning/inference.py
to Unity using Sentis.
The Python code relies on utility functions from Python: src.utils.Math:
- calc_location
- compute_orientation
- recover_angle
- translation_constraints
and KITTIObject from src.utils.utils.
I’ve attempted a C# implementation, but the rotations are coming out incorrect.
I’m looking for guidance or references on translating such a script to C# / Unity, particularly for handling camera-space transforms and orientation recovery correctly.
Thanks!
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by comparing yolo3d-lightning/inference.py with the listed src.utils.Math functions and KITTIObject in src.utils.utils. Review the existing attempted C# implementation referenced in the issue, focusing on camera-space transforms and orientation recovery. Done would be a clearly documented Unity Sentis translation approach or a working implementation with correct rotations.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- csharp, unity
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100