RMBP | Robust Matching using Belief Propagation | GPU library
kandi X-RAY | RMBP Summary
kandi X-RAY | RMBP Summary
RMBP is a C++ library typically used in Hardware, GPU, Pytorch applications. RMBP has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
RMBP is a robust matching approach, aiming at rejecting outlier 2D or 3D keypoint matches based on the inference via belief propagation on the defined graphical model. Therefore, it can contribute to the robustness of point cloud registration and image matching. As shown below, RMBP facilitates the registration of point clouds with deficient geometric overlap although the outlier matches outnumber the inlier matches greatly in such cases. We enable the application of RMBP in two scenarios in this repository: 3D-3D matching and 2D-2D matching, which correspond to the matster and 2D-2D branches respectively.
RMBP is a robust matching approach, aiming at rejecting outlier 2D or 3D keypoint matches based on the inference via belief propagation on the defined graphical model. Therefore, it can contribute to the robustness of point cloud registration and image matching. As shown below, RMBP facilitates the registration of point clouds with deficient geometric overlap although the outlier matches outnumber the inlier matches greatly in such cases. We enable the application of RMBP in two scenarios in this repository: 3D-3D matching and 2D-2D matching, which correspond to the matster and 2D-2D branches respectively.
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Support
RMBP has a low active ecosystem.
It has 20 star(s) with 7 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
RMBP has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of RMBP is current.
Quality
RMBP has no bugs reported.
Security
RMBP has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
RMBP is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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RMBP releases are not available. You will need to build from source code and install.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of RMBP
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of RMBP
RMBP Key Features
No Key Features are available at this moment for RMBP.
RMBP Examples and Code Snippets
No Code Snippets are available at this moment for RMBP.
Community Discussions
Trending Discussions on RMBP
QUESTION
Xcode 9 simulator looks terrible
Asked 2017-Sep-28 at 22:29
It's extremely pixelated, aliasing is terrible, see below, yuck!
I'm running on Sierra, 2015 rMBP, external Apple Display.
Is there a way to fix it? Without success, I've tried:
- Scaling to 100%
- Turning on/off
Debug > Optimize Rendering for Window Scale
(from here) Debug > Graphics Quality Override > High Quality
ANSWER
Answered 2017-Sep-28 at 22:29The 100% sizing in Xcode 9 has a bug where it considers 3x devices to be 2x for scaling. Manually resize the device larger and it should clear up.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install RMBP
Build like any other cmake project.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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