pySeqSLAM | Python SeqSLAM - port of Niko Sünderhauf
kandi X-RAY | pySeqSLAM Summary
kandi X-RAY | pySeqSLAM Summary
pySeqSLAM is a Python library. pySeqSLAM has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pySeqSLAM has a Non-SPDX License. You can download it from GitHub.
This is a Python port of Niko Sünderhauf's OpenSeqSLAM code. SeqSLAM performs place recognition by matching sequences of images. [1] Michael Milford and Gordon F. Wyeth (2012). SeqSLAM: Visual Route-Based Navigation for Sunny Summer Days and Stormy Winter Nights. In Proc. of IEEE Intl. Conf. on Robotics and Automation (ICRA).
This is a Python port of Niko Sünderhauf's OpenSeqSLAM code. SeqSLAM performs place recognition by matching sequences of images. [1] Michael Milford and Gordon F. Wyeth (2012). SeqSLAM: Visual Route-Based Navigation for Sunny Summer Days and Stormy Winter Nights. In Proc. of IEEE Intl. Conf. on Robotics and Automation (ICRA).
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Support
pySeqSLAM has a low active ecosystem.
It has 34 star(s) with 20 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 3 open issues and 0 have been closed. On average issues are closed in 719 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of pySeqSLAM is current.
Quality
pySeqSLAM has 0 bugs and 0 code smells.
Security
pySeqSLAM has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pySeqSLAM code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
pySeqSLAM has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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pySeqSLAM releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
pySeqSLAM saves you 137 person hours of effort in developing the same functionality from scratch.
It has 343 lines of code, 21 functions and 6 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed pySeqSLAM and discovered the below as its top functions. This is intended to give you an instant insight into pySeqSLAM implemented functionality, and help decide if they suit your requirements.
- Run the analysis
- Calculate matching matches
- Prepare the image for processing
- Find matching matches
- Do preprocessing
- Calculate difference matrix
- Normalize image
- Enhance contrast distance matrix
- Enhance contrast
- Compute the difference between two arrays
- Convert an rgb value to a gray value
Get all kandi verified functions for this library.
pySeqSLAM Key Features
No Key Features are available at this moment for pySeqSLAM.
pySeqSLAM Examples and Code Snippets
No Code Snippets are available at this moment for pySeqSLAM.
Community Discussions
No Community Discussions are available at this moment for pySeqSLAM.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pySeqSLAM
You can download it from GitHub.
You can use pySeqSLAM like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use pySeqSLAM like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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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