mapillary / mapillary/OpenSfM

Can I use GPU to speed up this project?

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#563 2 comments 0 reactions 0 assignees View on GitHub

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enhancement
Dominant language
Python
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Forks
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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

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. 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

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