SatelliteSfM | satellite structure from motion problem
kandi X-RAY | SatelliteSfM Summary
kandi X-RAY | SatelliteSfM Summary
SatelliteSfM is a Python library. SatelliteSfM has no bugs, it has no vulnerabilities and it has low support. However SatelliteSfM build file is not available. You can download it from GitHub.
I started my computer vision research journey with satellite stereo being my first project. Working on that problem makes me feel that there seems to be an unnesseary[?] gap between how the stereo problems are approached in the computer vision community and remote sensing community. And moreover, satellite images seem to attract relatively less attention from the vast computer vision community. I was guessing perhaps this was due to the limited satellite image availability, which seems to be improving these days. With the increasing availability of satellite datasets, I am hoping to further simplify the access to satellite stereo problems for computer vision researchers' and practitioners' with this repo.
I started my computer vision research journey with satellite stereo being my first project. Working on that problem makes me feel that there seems to be an unnesseary[?] gap between how the stereo problems are approached in the computer vision community and remote sensing community. And moreover, satellite images seem to attract relatively less attention from the vast computer vision community. I was guessing perhaps this was due to the limited satellite image availability, which seems to be improving these days. With the increasing availability of satellite datasets, I am hoping to further simplify the access to satellite stereo problems for computer vision researchers' and practitioners' with this repo.
Support
Quality
Security
License
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Support
SatelliteSfM has a low active ecosystem.
It has 233 star(s) with 18 fork(s). There are 16 watchers for this library.
It had no major release in the last 6 months.
There are 4 open issues and 4 have been closed. On average issues are closed in 7 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of SatelliteSfM is current.
Quality
SatelliteSfM has no bugs reported.
Security
SatelliteSfM has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
SatelliteSfM does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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SatelliteSfM releases are not available. You will need to build from source code and install.
SatelliteSfM has no build file. You will be need to create the build yourself to build the component from source.
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 SatelliteSfM
SatelliteSfM Key Features
No Key Features are available at this moment for SatelliteSfM.
SatelliteSfM Examples and Code Snippets
No Code Snippets are available at this moment for SatelliteSfM.
Community Discussions
No Community Discussions are available at this moment for SatelliteSfM.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install SatelliteSfM
Assume you are on a Linux machine with at least one GPU, and have conda installed. Then to install this library, simply by:.
Support
[x] release SatelliteSfM[x] release SatelliteNeRF as downstream neural rendering applications[x] release scripts to visualize SatelliteSfM output cameras in 3D[x] release TRACK 3: MULTI-VIEW SEMANTIC STEREO data preprocessed by SatelliteSfM[x] re-write ColmapForVisSat as patches to latest Colmap: SfM first, followed by MVS, and finally meshing. You can find the re-written version ColmapForVisSatPatched. Thanks to @SBCV.[x] release SatelliteNeuS that can reconstruct meshes from multi-date satellite images with varying illuminations[x] draw a road map[ ] improve documentations of the SatellitePlaneSweep and SatelliteNeRF and SatelliteNeuS[ ] port SatelliteSurfaceReconstruction meshing algorithm to the new API[ ] release Deep Satellite Stereo as downstream MVS algorithms[ ] release code to rectify satellite stereo pairs based on the SatelliteSfM outputs[ ] release code to run stereo matching on rectified stereo pairs, including both classical and deep ones
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