Finetune with lidar GT
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- Dominant language
- JavaScript
- Stars
- 3k
- Forks
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- PR merge metrics
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Description
I would like to fine-tune the current model on an autonomous driving dataset to obtain more accurate depth estimation. May I directly use the sparse LiDAR image as the depth image to fine-tune the model?
Contributor guide
No contributing guide indexed for this repository
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
The issue names no files or tests. Start by reviewing the current model's fine-tuning workflow and how sparse LiDAR depth is represented in the target autonomous-driving dataset; done means an agreed, reproducible answer or supported workflow for using LiDAR ground truth.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning
- Domain
- autonomous-driving, 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