daa-analysis | Analysis tools for Detect and Avoid simulation data

by jonrein Python Version: Current License: No License

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kandi X-RAY | daa-analysis Summary

daa-analysis is a Python library. daa-analysis has no bugs, it has no vulnerabilities and it has low support. However daa-analysis build file is not available. You can download it from GitHub.

These scripts process truth, sensor, and tracker data logs from DAA scenarios. It is assumed that there is a data directory, with a "Truth" subdirectory and additional subdirectories for each sensor configuration of interest. It is further assumed that the sensor configuration subdirectories have a unique directory for each scenario run, which contains all of the relevant data logs (other than truth) for that run. If there is no such directory structure, run make_scenario_dirs.py. analyze_scenarios.py generates scenario-level data and plots for a specified sensor configuration directory. analyze_aggerate.py generates aggregate data and plots for the specified sensor configuration directory(ies).

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daa-analysis has a low active ecosystem.

It has 0 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

daa-analysis has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of daa-analysis is current.

Quality

daa-analysis has no bugs reported.

Security

daa-analysis has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

daa-analysis 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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daa-analysis releases are not available. You will need to build from source code and install.

daa-analysis has no build file. You will be need to create the build yourself to build the component from source.

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daa-analysis Key Features

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daa-analysis Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install daa-analysis

You can download it from GitHub.
You can use daa-analysis 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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