PointCloudLibrary / PointCloudLibrary/pcl
[compression] Can we support GPU to accelerate?
Nobody has claimed this yet.
- Dominant language
- C++
- Stars
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- Forks
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- Avg merge
- 4d 10h
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Description
Current evaluation:
Environment: Windows 10 Intel(R) Core(TM) i7-8750H CPU @ 2.20GHz 2.21 GH
PointCloud: Realsense
Input:
pcl::io::compression_Profiles_e compressionProfile = pcl::io::MANUAL_CONFIGURATION;
const double pointResolution_arg = 0.005;
const double octreeResolution_arg = 0.005;
bool doVoxelGridDownDownSampling_arg = true;
const unsigned int iFrameRate_arg = 30;
bool doColorEncoding_arg = true;
const unsigned char colorBitResolution_arg = 5;
Result:
Frame ID: 773
Encoding Frame: Prediction frame
Number of encoded points: 135760
XYZ compression percentage: 3.664678%
XYZ bytes per point: 0.439761 bytes
Color compression percentage: 36.146324%
Color bytes per point: 1.445853 bytes
Size of uncompressed point cloud: 2121.250000 kBytes
Size of compressed point cloud: 249.991211 kBytes
Total bytes per point: 1.885614 bytes
Total compression percentage: 11.785089%
Compression ratio: 8.485298
Encode time 133 ms
Decode time 47 ms
Can we implement by GPU such as Cuda, WebGL?
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
No source files or tests are named. Start by reviewing the compression implementation behind the reported Realsense benchmark and its encode/decode path; done would require an agreed GPU approach and comparable timing results for the 133 ms encode and 47 ms decode baseline.
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
- 20/100