handeye | ROS package for calibrating sensors | Robotics library

by crigroup Python Version: Current License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | handeye Summary

handeye is a Python library typically used in Automation, Robotics, OpenCV applications. handeye has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

ROS package for calibrating sensors to a known reference frame. This package has been developed by CRI Group, Nanyang Technological University, Singapore.

Support

Quality

Security

License

Reuse

Support

handeye has a low active ecosystem.

It has 26 star(s) with 14 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 2 have been closed. On average issues are closed in 170 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of handeye is current.

Quality

handeye has 0 bugs and 0 code smells.

Security

handeye has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

handeye code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

handeye is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

handeye 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.

handeye saves you 289 person hours of effort in developing the same functionality from scratch.

It has 697 lines of code, 37 functions and 12 files.

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

Top functions reviewed by kandi - BETA

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

Calibrate calibration response
Compute the rotation error
Computes the motion matrix
Mean squared mean squared error
Add a sample to the model
Solve the motion matrix
Get a class from a string
Generate random noisy noise
Add relative noise and translation noise
Parse command line arguments

Get all kandi verified functions for this library.

handeye Key Features

No Key Features are available at this moment for handeye.

handeye Examples and Code Snippets

No Code Snippets are available at this moment for handeye.

Community Discussions

Trending Discussions on handeye

Laravel DataTable custom search

QUESTION

Laravel DataTable custom search

Asked 2019-Nov-14 at 03:09

I have a DataTable on my website that uses server side processing which works as intended. However, I am adding additional search fields that draw from the DataTable and refine the search results for players. So for example, which hand they shoot with, their position, name, etc.

The filter search boxes work just fine for data that I did not alter via the columns settings. In this case, the player name was altered to create an anchor tag using both the first and last name. When I search that table column, the DataTable outputs the following error:

Error

...

ANSWER

Answered 2019-Nov-14 at 03:09

You're getting error because you didn't specify name of your column.

Change this

Source https://stackoverflow.com/questions/58847879

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

Vulnerabilities

No vulnerabilities reported

Install handeye

You can download it from GitHub.
You can use handeye 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.