BoundingBoxEditor | A JavaFX desktop application for creating image-object-annotations with bounding boxes | Data Labeling library

by mfl28 Java Version: v2.5.1 License: GPL-3.0

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

kandi X-RAY | BoundingBoxEditor Summary

BoundingBoxEditor is a Java library typically used in Artificial Intelligence, Data Labeling applications. BoundingBoxEditor 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 download it from GitHub.

This is an image annotation desktop-application written in Java using the JavaFX application platform. It allows you to create bounding box annotations using rectangular and polygonal shapes. Annotations can be imported and saved from/to JSON files, Pascal VOC format XML-files or YOLO format TXT-files.

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Quality

Security

License

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Support

BoundingBoxEditor has a low active ecosystem.

It has 36 star(s) with 4 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 31 have been closed. On average issues are closed in 0 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of BoundingBoxEditor is v2.5.1

Quality

BoundingBoxEditor has 0 bugs and 0 code smells.

Security

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

BoundingBoxEditor code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

BoundingBoxEditor 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

BoundingBoxEditor releases are available to install and integrate.

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

Installation instructions, examples and code snippets are available.

It has 15415 lines of code, 1103 functions and 113 files.

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

Top functions reviewed by kandi - BETA

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

Loads the image annotations
Loads the annotation from a file
Load the categories
Parses the bounding box data
Sets up model listeners
Setup and show the dialog
Overridden method to set the item
Creates the content box
Create the services
Creates a service progress dialog
Retrieves the models
Set up internal listeners
Saves the annotations
Registers an add object category
Predict a prediction on the specified image file
Registers register settings action
Make a prediction
Handle a column edit event
Creates menu button for image settings
Setup the panel
Sets up the buttons and labels
Sets up internal listeners
Creates a listener which allows to change the selected file index
Add a move function to the bounding shape
Create XML file from image annotation data element
Setup internal listeners

Get all kandi verified functions for this library.

BoundingBoxEditor Key Features

No Key Features are available at this moment for BoundingBoxEditor.

BoundingBoxEditor Examples and Code Snippets

No Code Snippets are available at this moment for BoundingBoxEditor.

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 BoundingBoxEditor

The project uses Gradle as build-system. You will need to have Gradle version 5+ and a Java JDK version 11+ installed on your system, e.g. from OpenJDK. After cloning the repository into a folder on your machine you may build the application from the root folder by opening a command line and using:.
Linux & MacOs: ./gradlew ...
Windows: Command Prompt: gradlew ... Powershell: .\gradlew ...
First build the Docker image from the cloned repo's root directory using:.

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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