veloparser | A tiny pure python Velodyne pcap file to point clouds parser
kandi X-RAY | veloparser Summary
kandi X-RAY | veloparser Summary
veloparser is a Python library. veloparser has no bugs, it has no vulnerabilities and it has low support. However veloparser build file is not available. You can download it from GitHub.
Veloparser is a simple application which does following:. The reason why i wrote it, is simply that i could not find any simple way without installing ROS (Robot operating software) or other huge c++-based lib that does 'just' extract the point clouds and GPS-Timestamps from pcap-file. python veloparser -p /home/user/my.pcap -o /home/user/output_folder -c params.yaml.
Veloparser is a simple application which does following:. The reason why i wrote it, is simply that i could not find any simple way without installing ROS (Robot operating software) or other huge c++-based lib that does 'just' extract the point clouds and GPS-Timestamps from pcap-file. python veloparser -p /home/user/my.pcap -o /home/user/output_folder -c params.yaml.
Support
Quality
Security
License
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Support
veloparser has a low active ecosystem.
It has 23 star(s) with 5 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of veloparser is current.
Quality
veloparser has 0 bugs and 26 code smells.
Security
veloparser has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
veloparser code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
veloparser 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.
Reuse
veloparser releases are not available. You will need to build from source code and install.
veloparser has no build file. You will be need to create the build yourself to build the component from source.
It has 445 lines of code, 26 functions and 4 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed veloparser and discovered the below as its top functions. This is intended to give you an instant insight into veloparser implemented functionality, and help decide if they suit your requirements.
- Create folder hierarchy
- Write a PCL file
- Return the index of the rollover
- Convert a UTC datetime to weeks
- Get the length of the packet
- Get time from lidar timestamp
- Process a dataframe
- Creates the folder structure
- Process a GPS frame
- Write a ccd file
- Read data from data frame
- Calculate the precise azimuth between the data blocks
- Read an unsigned 32 - bit unsigned integer
- Reads the firings data
- Calculate cartesian coordinates
- Process GPS position frame
- Read parameters from file
Get all kandi verified functions for this library.
veloparser Key Features
No Key Features are available at this moment for veloparser.
veloparser Examples and Code Snippets
No Code Snippets are available at this moment for veloparser.
Community Discussions
No Community Discussions are available at this moment for veloparser.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install veloparser
You can download it from GitHub.
You can use veloparser 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 veloparser 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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