Perspectiv | A visualization library focusing on simplicity | Data Visualization library

by anjishnu Python Version: Current License: No License

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

kandi X-RAY | Perspectiv Summary

Perspectiv is a Python library typically used in Analytics, Data Visualization applications. Perspectiv has no bugs, it has no vulnerabilities and it has low support. However Perspectiv build file is not available. You can download it from GitHub.

A data visualization library focusing on simplicity.

Support

Quality

Security

License

Reuse

Support

Perspectiv has a low active ecosystem.

It has 6 star(s) with 0 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

Perspectiv has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Perspectiv is current.

Quality

Perspectiv has no bugs reported.

Security

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

License

Perspectiv 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

Perspectiv releases are not available. You will need to build from source code and install.

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

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Compose models using TSNE
BH_tsne
Load all the articles in the folder
Performs k - means clustering
Train the LDA model
Create a vector representation of a LDA model
Return a bag of words in text
Train a LDA model
Submit a subset of run_mem
Execute a subset of the specified files
Convert a JSON object into a tuple
Sets the results of the run
Run word2vec
This function calculates the vectorize of the words
Load all the articles in sset
Build a LDA2Vecoder
Build a Word2Vec model
Return argument parser
Computes the TSNE data for the given samples
Build word vectors

Get all kandi verified functions for this library.

Perspectiv Key Features

No Key Features are available at this moment for Perspectiv.

Perspectiv Examples and Code Snippets

No Code Snippets are available at this moment for Perspectiv.

Community Discussions

Trending Discussions on Perspectiv

Matlab Rectify image with reference of corner points

QUESTION

Matlab Rectify image with reference of corner points

Asked 2017-Apr-30 at 17:04

I want to rectify an image with perspectival distorsion. I have points of the corners and I have also have an algorithm that perfoms what I need but it executes really slow. It has 'imtransform' and 'maketform' functions which matlab has faster functions for these actions. So I tried to replace them but I couldn't make it right. Any helps will be appreciated.

Here is the Images to make this question clearer:

Input Image with known Coordinates(x,y):

and Desired Output:

This process executed with the interval of 2 seconds, I need to replace this process via new matlab functions but I couldn't make it.

Old algorihm was:

...

ANSWER

Answered 2017-Apr-30 at 17:04

using the builtin MATLAB functions (fitgeotrans, imref2d, and imwarp) the following code runs in 0.06 seconds on my laptop:

Source https://stackoverflow.com/questions/43708492

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

Vulnerabilities

No vulnerabilities reported

Install Perspectiv

You can download it from GitHub.
You can use Perspectiv 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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