label-studio-converter | converting Label Studio annotations into common dataset | Data Labeling library

by heartexlabs Python Version: 0.48rc0 License: No License

X-Ray Key Features Code Snippets(1)Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | label-studio-converter Summary

label-studio-converter is a Python library typically used in Artificial Intelligence, Data Labeling applications. label-studio-converter has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install label-studio-converter' or download it from GitHub, PyPI.

Label Studio Format Converter helps you to encode labels into the format of your favorite machine learning library.

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Quality

Security

License

Reuse

Support

label-studio-converter has a low active ecosystem.

It has 146 star(s) with 83 fork(s). There are 10 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 36 open issues and 48 have been closed. On average issues are closed in 98 days. There are 7 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of label-studio-converter is 0.48rc0

Quality

label-studio-converter has 0 bugs and 29 code smells.

Security

label-studio-converter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

label-studio-converter code analysis shows 0 unresolved vulnerabilities.

There are 2 security hotspots that need review.

License

label-studio-converter 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

label-studio-converter releases are available to install and integrate.

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 1824 lines of code, 78 functions and 16 files.

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

Top functions reviewed by kandi - BETA

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

Convert to COCO format
Get the list of the categories
Iterate through a JSON file
Iterate over all files in a directory
Convert images to vocabulary
Get the size of an image
Convert COCO notes and categories to labels
Create keypoints
Prepare a new task
Create a bounding box
Convert YolO notes and categories to labels
Convert to yolo format
Convert a dataset
Convert a single shot
Generate a namespace from a file
Get info from file
Argument parser
Convert input data to CSV
Prettify v
Converts input data to CONLL 2003
Convert contours to rle format
Convert input data to JSON
Convert a ~astropy ndarray to an rle file
Convert the given format
Export input to CSV
Convert a list of tasks into a single file

Get all kandi verified functions for this library.

label-studio-converter Key Features

No Key Features are available at this moment for label-studio-converter.

label-studio-converter Examples and Code Snippets

Label Studio Converter,Examples

Python

Lines of Code : 157

License : No License

Copy

python backend/converter/cli.py --input examples/sentiment_analysis/completions/ --config examples/sentiment_analysis/config.xml --output tmp/output.json

from label_studio_converter import Converter

c = Converter('examples/sentiment_analysis/config

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 label-studio-converter

You can install using 'pip install label-studio-converter' or download it from GitHub, PyPI.
You can use label-studio-converter 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.