gelutils | Tools and utilities for converting and annotating GEL files | Data Labeling library

by scholer Python Version: 0.6.1 License: GPL-3.0

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

kandi X-RAY | gelutils Summary

gelutils is a Python library typically used in Manufacturing, Utilities, Energy, Utilities, Artificial Intelligence, Data Labeling, React applications. gelutils has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install gelutils' or download it from GitHub, PyPI.

Tools and utilities for working with scientific GEL files. Makes it easy to convert and annotate .GEL or .TIFF image files from e.g. Typhoon scanners and GelDocs. The primary use of this application/package is to add lane annotations to gel images. The application can be installed and used as any other application, e.g. by simply double-clicking a .GEL file and then selecting the annotate-gel application to annotate the gel. It features a simple GUI where you can add the text you want to display above each lane and configure how the final gel image appears. Gels can be scaled, cropped, rotated, etc. The application will export a SVG file with the cropped/rotated gel image, overlayed by the given annotations. The SVG file can be automatically converted to a PNG, which is sometimes more convenient for presentation usage.

Support

Quality

Security

License

Reuse

Support

gelutils has a low active ecosystem.

It has 6 star(s) with 3 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 341 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of gelutils is 0.6.1

Quality

gelutils has 0 bugs and 0 code smells.

Security

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

gelutils code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

gelutils is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

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

It has 3318 lines of code, 173 functions and 28 files.

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

Top functions reviewed by kandi - BETA

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

Get config object
Load the default config file
Merge two dictionaries
Parse arguments
Find peaks in an image
Calculate the minimum background
Create an ellipse of the given size
Draw a rectangle
Runs test
Get config from arguments
Format a list of actions
Annotate the text widget
Annotate a GEM file
Annotate GEL
Convert a GEL file
Return a DataFrame of band centers
Set the image
Browse an annotation file
Copy a file to the clipboard
Browse a yaml file
Browse the primary file
Parse command line arguments
Return an argument parser
Called when an event occurs
Subtract rows from an image
Convert image to ImageMagick format
Format an actions table
Convert a GEM file
Places the main loop
Browse GEL file
Convert an input file into a PNG

Get all kandi verified functions for this library.

gelutils Key Features

No Key Features are available at this moment for gelutils.

gelutils Examples and Code Snippets

No Code Snippets are available at this moment for gelutils.

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?

...

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:

...

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.

...

ANSWER

Answered 2020-Oct-27 at 22:39

Is the data behind virtual network by any chance?

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

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

Vulnerabilities

No vulnerabilities reported

Install gelutils

You can install using 'pip install gelutils' or download it from GitHub, PyPI.
You can use gelutils 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

If you find any bugs, please let me know — they are usually very easy and fast to fix. Also feel free to write me with feature suggestions. Or, even better: Fork this repository, fix the bugs and implement the features as you want, then send me a pull request :).

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