reexpress | driven non-photorealistic face

by blendmaster JavaScript Version: Current License: Unlicense

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kandi X-RAY | reexpress Summary

reexpress is a JavaScript library. reexpress has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Reexpress morphs hand-drawn expressions in your browser using javascript, HTML5 canvas, and SVG, based on the techniques described in the paper [Performance-Driven Hand-Drawn Animation][0] by Buck et al. Authors: Steven Ruppert and Daria Tolmacheva. For Final Project, CSCI 561 Advanced Graphics, Spring 2014, at the Colorado School of Mines.

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Support

reexpress has a low active ecosystem.

It has 5 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of reexpress is current.

Quality

reexpress has no bugs reported.

Security

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

License

reexpress is licensed under the Unlicense License. This license is Permissive.

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

Reuse

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

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reexpress Key Features

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reexpress Examples and Code Snippets

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Community Discussions

Trending Discussions on reexpress

Optimize R nested loops with apply or similar

Returning an R function from rcpp

QUESTION

Optimize R nested loops with apply or similar

Asked 2020-Feb-08 at 21:42

The code I show you here calculates exactly what I want, except for one problem: for large datasets, it takes just TOO LONG. Therefore, I was wondering if there is an alternative solution using the apply() family or some other way.

I always have a hard time to reexpress nested loops into vectorial functions. Do you think you could give me a hand? I would highly appreciate it ;)

So, before applying this nested loops I already have:

2 dataframes, called "DATA" and "DATA_100_WELLS". From them, I only need variables "WELL" (categorical) and "DELTA" (numeric)
3 global variables, called ti, ta and tb, which will appear in the nested loops
A "chosen_model", which I will use inside the function "predict"

Here it goes ... sorry if it´s hard to understand ...

...

ANSWER

Answered 2020-Feb-08 at 21:42

As mentioned in the comments it is difficult to help without a reproducible example though I'll give it a try. The following changes should speed things up:

1) do not rbind an object to itself repeatedly rather insert elements into a list and call bind_rows after the loops.

2) subset the DATA df into the wells_df for every well in the outer loop.

Even better than #2, but not implemented, you could split the DATA into a list by WELL ahead of the loops so you are only traversing DATA one time.

I did not run this code.

Source https://stackoverflow.com/questions/60130501

QUESTION

Returning an R function from rcpp

Asked 2018-Sep-17 at 15:30

Is there a way in Rcpp to return an R function with some pre-computed values that are only computed on the first function call? Consider the following R code:

...

ANSWER

Answered 2018-Sep-17 at 15:30

One simple way to store intermediate results would be a static variable at function level:

Source https://stackoverflow.com/questions/52350297

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

Vulnerabilities

No vulnerabilities reported

Install reexpress

You can download it from GitHub.

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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