nimp | Nimp - Node-based image manipulation program | Computer Vision library

by dan335 JavaScript Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | nimp Summary

nimp is a JavaScript library typically used in Telecommunications, Media, Media, Entertainment, Artificial Intelligence, Computer Vision, Nodejs applications. nimp has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Node-Based Image Manipulation Program.

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Support

nimp has a low active ecosystem.

It has 59 star(s) with 3 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 41 days. There are 7 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of nimp is current.

Quality

nimp has 0 bugs and 0 code smells.

Security

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

nimp code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nimp is licensed under the MIT License. This license is Permissive.

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

Reuse

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

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

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nimp Key Features

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nimp Examples and Code Snippets

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Community Discussions

Trending Discussions on nimp

gtsummary and add_glance: Error: No glance method for objects of class mira

Use the Survey package to weight observations in stacked imputations

Golang large response unexpected end of JSON input

Copying multiple files in a different location Matlab

QUESTION

gtsummary and add_glance: Error: No glance method for objects of class mira

Asked 2022-Jan-29 at 20:10

I am trying to add r-squared and the number of observations to my regression tables using gtsummary and multiply imputed data from mice. I can still extract r-squared using glance if I pool the model, but mipo objects are not compatible with tbl_regression since pooling is already part of the tidying process. Any help with this issue is appreciated.

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ANSWER

Answered 2022-Jan-29 at 20:10

Thank you for the detailed question and reproducible example.

You diagnosed the issue well. tbl_regression() expects unpooled results and broom::glance() expects the pools results. You can get what you need by passing a custom glance() function.

Example below!

Source https://stackoverflow.com/questions/70909155

QUESTION

Use the Survey package to weight observations in stacked imputations

Asked 2021-Sep-15 at 08:02

I am exploring model variable selection within imputed data.

One technique is to stack imputations in long format (where n observations in M imputed datasets creates a dataset n x M long), and use weighted regression to reduce the contribution of each observation proportionally to the number of imputations. If we treated the stacked dataset as one large dataset, the standard errors would be too small.

I am trying to use the weights argument in svyglm to account for the stacked data, resulting in SEs that you would expect with n obervations, rather than n x M observations.

To illustrate:

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ANSWER

Answered 2021-Sep-14 at 22:29

Sorry, no, this isn't going to work.

To handle stacked imputation data with weights you need frequency weights, so that a weight of 1/10 means you have 1/10 of an observation. With svydesign you specify sampling weights, so that a weight of 1/10 means your observation represents 10 observations in the population. These will (and should) give different standard errors. Pretending you have frequency weights when you actually have imputations is a clever hack to avoid having software that understands what it's doing, which is fine but isn't compatible with survey, which understands what it's doing and is doing something different.

Currently,if you want to use svyglm with multiple imputations you need to compute the standard errors separately -- most conveniently with Rubin's rules using mitools::MIcombine, which is set up to work with the survey package (see the help for with.svyimputationList and withPV).

It might be worth putting in a feature request to the mitools or survey developers (with citations to examples) to allow for stacked analysis of imputations, but this isn't just a matter of adjusting the weights.

Source https://stackoverflow.com/questions/69179004

QUESTION

Golang large response unexpected end of JSON input

Asked 2021-Sep-10 at 08:00

I'm sending a request to a server and trying to unmarshall HTTP Response. It's weird, but some of the responses return 200 and do not give an unmarshall error, while some of them return 200 and give an unmarshall error.

My client code looks like:

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ANSWER

Answered 2021-Sep-10 at 08:00

I tried to implement your code at my end, and it's giving the expected output. The code I tried is given below.

Note: This is not a solution to the exact problem, since I was not able to reproduce the same.

Source https://stackoverflow.com/questions/69119803

QUESTION

Copying multiple files in a different location Matlab

Asked 2020-Oct-08 at 20:45

I have a bunch of files with the audio signals in them and I am trying to copy-paste them in another direction ( another folder). I have around 20 folders which include 10 audio signals in each folder. I would like to copy and paste them one by one with the same names and also be able to apply some filtering in the audio signals as per the below code before I will transfer the audio signals to the new folder. However, I do not want to use the dir function. Can anyone advise what other options do I have? Many thanks in advance.

my code for the filtering it will be something like this.

...

ANSWER

Answered 2020-Oct-07 at 20:35

Using MATLAB

If your signals are within/generated by the MATLAB file you can do this. Otherwise, if your audio files are just residing in another directory the other answer posted works like a charm.

Source https://stackoverflow.com/questions/64251139

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

Vulnerabilities

No vulnerabilities reported

Install nimp

You can download it from GitHub.

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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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