PointCloudLibrary / PointCloudLibrary/pcl
[sample_consensus] Migrated the SSE and AVX implementations of countWithinDistance to RISC-V RVV 1.0
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- Dominant language
- C++
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Description
Hello everyone,
I've recently been working on some CPU architecture-related contributions for PCL. Referring to https://github.com/PointCloudLibrary/pcl/pull/3519, I have migrated the SSE and AVX implementations of countWithinDistance to RISC-V RVV 1.0, implementing countWithinDistanceRVV. The code repository is available at:
https://github.com/CelestialMelody/pcl/tree/feature/rvv10
The submitted content includes the following:
-
Chinese documentation recording the environment setup, compilation, implementation, and testing processes. These documents are not intended for merging into PCL (I can provide English translations if needed):
RISCV Development Environment Setup
PCL Cross-Compilation Guide for RISC-V
RVV Implementation Supplementary Notes
RVV Implementation: Optimizing countWithinDistance for RANSAC Models
RVV Implementation: 3D Vector Acute Angle Calculation (getAcuteAngle3D & acos) -
Migration of PR #3519 (SSE/AVX code): Implemented countWithinDistanceRVV for the Plane, NormalPlane, Circle2D, and Sphere models.
-
Testing:
Test Documentation
Test Implementation
Can I submit a PR? Do I need to create a new branch in my repository and only submit the added code parts?
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 by reviewing PR #3519 and the feature/rvv10 branch, especially the sample_consensus implementation and test-rvv/sample_consensus tests. Read the linked RVV documentation and confirm the expected contribution process with maintainers; done means an accepted RVV implementation and corresponding tests that meet PCL requirements.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- 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