napari-feature-visualization | Visualizing feature measurements on label images | Data Labeling library

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

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | napari-feature-visualization Summary

napari-feature-visualization is a Python library typically used in Artificial Intelligence, Data Labeling applications. napari-feature-visualization 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.

Visualizing feature measurements on label images in napari

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napari-feature-visualization has a low active ecosystem.

It has 5 star(s) with 3 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 10 open issues and 2 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of napari-feature-visualization is current.

Quality

napari-feature-visualization has no bugs reported.

Security

napari-feature-visualization has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

napari-feature-visualization 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

napari-feature-visualization 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.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Create selector widget
Train the model
Get the indices of non - NaNs that are not NaNs
Save the name to a file
Return the properties of the region
Creates a QWidget widget
Visualize a feature
Get data from a CSV file
Loads the classifier
Add data to the classifier
Checks if df1 is in df1 df2
Read file contents
Renames a classifier
Returns the most important features
A dict of feature importances

Get all kandi verified functions for this library.

napari-feature-visualization Key Features

No Key Features are available at this moment for napari-feature-visualization.

napari-feature-visualization Examples and Code Snippets

No Code Snippets are available at this moment for napari-feature-visualization.

Community Discussions

Trending Discussions on Data Labeling

How can I do this split process in Python?

Replacing a character with a space and dividing the string into two words in R

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

QUESTION

How can I do this split process in Python?

Asked 2021-Dec-30 at 14:06

I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.

What I've done so far is make this representation with the same enumerator class.

A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?

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ANSWER

Answered 2021-Dec-30 at 13:57

Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:

Source https://stackoverflow.com/questions/70532286

QUESTION

Replacing a character with a space and dividing the string into two words in R

Asked 2020-Nov-18 at 07:32

I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.

In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space

i have this:

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ANSWER

Answered 2020-Nov-16 at 07:24

Try something like:

Source https://stackoverflow.com/questions/64853962

QUESTION

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

Asked 2020-Oct-28 at 20:31

Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.

Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.

Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.

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ANSWER

Answered 2020-Oct-27 at 22:39

Is the data behind virtual network by any chance?

Source https://stackoverflow.com/questions/64546521

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