Can I use GPU to speed up this project?
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 3.8k
- Forks
- 899
- PR merge metrics
- No merged PRs in 30d
Description
Hello,
I'm using this project on my machine with GTX-1080ti GPU,
but this project seems to use only cpu resources.
Compute-Depthmap takes most of time during all process,
So I want to improve the speed of [Computing depthmap for images... with PATCH_MATCH_SAMPLE] by using GPU,
Are there any points in dense.py to apply the gpu?
Contributor guide
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 with dense.py and the PATCH_MATCH_SAMPLE depthmap computation to determine where the CPU work occurs. The issue names no tests or acceptance criterion; completion would require an agreed GPU approach and evidence that depthmap processing is accelerated.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100