mobile-radio-tomography | Open-source mobile radio tomography framework

by timvandermeij Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | mobile-radio-tomography Summary

mobile-radio-tomography is a Python library. mobile-radio-tomography has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

The mobile radio tomography framework provides tools for performing mobile radio tomographic imaging using RF sensors mounted on unmanned vehicles such as rover cars or drones. This framework is the result of research projects and master theses by Tim van der Meij ([@timvandermeij] and Leon Helwerda ([@lhelwerd] The research is performed in collaboration with Leiden University and CWI Amsterdam, both located in the Netherlands.

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Quality

Security

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Support

mobile-radio-tomography has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 25 have been closed. On average issues are closed in 25 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of mobile-radio-tomography is current.

Quality

mobile-radio-tomography has 0 bugs and 0 code smells.

Security

mobile-radio-tomography has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

mobile-radio-tomography code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mobile-radio-tomography is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

mobile-radio-tomography 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.

It has 19147 lines of code, 1985 functions and 198 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed mobile-radio-tomography and discovered the below as its top functions. This is intended to give you an instant insight into mobile-radio-tomography implemented functionality, and help decide if they suit your requirements.

Update vehicle routes
Set multiple coordinates
Update a route value
Returns True if other vehicle is synchronized
Assign a goal to a given location
Returns the non - zero non - zero array
Get the map
Returns a numpy array of objects that are close to each object
Perform one step
Read the sensor lines
Saves the current settings
Shows the toolbar
Implement the insertion loop
Initialize the vehicle
Set up the vehicle
Returns the angle between start and end points
Create the layout
Returns a matplotlib plot for the given solution
Decorator for test coverage
Create the image panel
Display the progress bar
Update grid
Update row type
Reassign assignment settings
Setup the vehicle
Handle key press events

Get all kandi verified functions for this library.

mobile-radio-tomography Key Features

No Key Features are available at this moment for mobile-radio-tomography.

mobile-radio-tomography Examples and Code Snippets

No Code Snippets are available at this moment for mobile-radio-tomography.

Community Discussions

No Community Discussions are available at this moment for mobile-radio-tomography.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install mobile-radio-tomography

You can download it from GitHub.
You can use mobile-radio-tomography 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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