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https://github.com/cyd3r/ransac
An implementation of the RANSAC algorithm
https://github.com/cyd3r/ransac
c ransac
Last synced: about 11 hours ago
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An implementation of the RANSAC algorithm
- Host: GitHub
- URL: https://github.com/cyd3r/ransac
- Owner: cyd3r
- Created: 2019-05-24T11:24:41.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2019-07-24T17:50:16.000Z (over 5 years ago)
- Last Synced: 2024-04-20T21:42:09.090Z (7 months ago)
- Topics: c, ransac
- Language: Cuda
- Homepage:
- Size: 393 KB
- Stars: 5
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
An implementation of the RANSAC algorithm on the GPU using NVIDIA CUDA.
## Requirements
- python3
- numpy
- matplotlib
- sklearn## Steps
``` sh
# generate random data points
python3 util/generate.py 1000000# compile the RANSAC implementation
make# and run it!
# with CUDA
./gpu.out
# without CUDA
./host.out# run a fit on the extracted inliers
# creates a fit.jpg image that shows the result
python3 src/fit.py# visualisation of the RANSAC step (no fit)
# creates a vis.jpg image
python3 util/vis.py
```The programs accept only hard-coded file paths, therefore the generated files must not be renamed or moved.