InstanceLabelTool | Instance segmentation and occlusion boundary label tool | Data Labeling library

by GuoxiaWang Python Version: Current License: MIT

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

kandi X-RAY | InstanceLabelTool Summary

InstanceLabelTool is a Python library typically used in Artificial Intelligence, Data Labeling applications. InstanceLabelTool has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However InstanceLabelTool build file is not available. You can download it from GitHub.

The motivation of developing this Instance Lable Tool comes from the demand to label the training data of paper DOOBNet. This tool can also use for labeling instance segmentation. If you find Instance Label Tool useful for you, please consider Star or citing:.

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Support

InstanceLabelTool has a low active ecosystem.

It has 6 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 30 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of InstanceLabelTool is current.

Quality

InstanceLabelTool has no bugs reported.

Security

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

License

InstanceLabelTool 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

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

InstanceLabelTool has no build file. You will be need to create the build yourself to build the component from source.

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

Top functions reviewed by kandi - BETA

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

Performs a batch of conversion of images
Load from a json file
Initialize an AnnObject from a JSON string
Create a Polygon from a JSON string
Handle mouse press event
Return the distance between two points
Return the closest point to a given point
Find the closest point in the polygon polygon
Forward the paint event
Loads the label categories from the config json file
Load image list
Loads the drawType set
Loads an image from a file
Update the previous image
Update the next image
Create a new object
Handles mouse release events
Handle mouse move event
Save the labels to file
Symbolize an image
Handle key press events
Deletes selected objects
Called when a given polygon is completed
Changes the label of an object
Load labels from file
Stop batch conversion

Get all kandi verified functions for this library.

InstanceLabelTool Key Features

No Key Features are available at this moment for InstanceLabelTool.

InstanceLabelTool Examples and Code Snippets

No Code Snippets are available at this moment for InstanceLabelTool.

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.

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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

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

Vulnerabilities

No vulnerabilities reported

Install InstanceLabelTool

You can download it from GitHub.
You can use InstanceLabelTool 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

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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