Superpixel-segmentation-tool | This works in python

by SeongHyunBae Python Version: Current License: No License

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

kandi X-RAY | Superpixel-segmentation-tool Summary

Superpixel-segmentation-tool is a Python library. Superpixel-segmentation-tool has no bugs, it has no vulnerabilities and it has low support. However Superpixel-segmentation-tool build file is not available. You can download it from GitHub.

This works in python 3. If you press and hold the left mouse key, the grid will be painted and the right key will delete it.

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Quality

Security

License

Reuse

Support

Superpixel-segmentation-tool has a low active ecosystem.

It has 8 star(s) with 4 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Superpixel-segmentation-tool has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Superpixel-segmentation-tool is current.

Quality

Superpixel-segmentation-tool has 0 bugs and 0 code smells.

Security

Superpixel-segmentation-tool has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Superpixel-segmentation-tool code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Superpixel-segmentation-tool 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

Superpixel-segmentation-tool releases are not available. You will need to build from source code and install.

Superpixel-segmentation-tool has no build file. You will be need to create the build yourself to build the component from source.

It has 615 lines of code, 44 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

Callback function to handle the move
Draw the image
Called when the left button is pressed
Called when the radio button is clicked
Callback called when the image is clicked
Callback when left press
Callback when the right click is pressed
Update icon dialog
Update image
Update the label of the slider
Update the label for the horizontal slider
Called when the slider has changed
Callback called when next clicked
Called when the check box has changed
Called when the checkbox_2 flag is set
Callback triggered when the button clicked
Called when redo button is clicked
Called when undo is clicked
Called when the spin box is changed
Resets the clicked image

Get all kandi verified functions for this library.

Superpixel-segmentation-tool Key Features

No Key Features are available at this moment for Superpixel-segmentation-tool.

Superpixel-segmentation-tool Examples and Code Snippets

No Code Snippets are available at this moment for Superpixel-segmentation-tool.

Community Discussions

No Community Discussions are available at this moment for Superpixel-segmentation-tool.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install Superpixel-segmentation-tool

You can download it from GitHub.
You can use Superpixel-segmentation-tool 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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