FanselineImageToolbox | FerryYoungFan 's Image Toolbox & Beeswax Filter
kandi X-RAY | FanselineImageToolbox Summary
kandi X-RAY | FanselineImageToolbox Summary
FanselineImageToolbox is a Python library. FanselineImageToolbox has no bugs, it has no vulnerabilities and it has low support. However FanselineImageToolbox build file is not available. You can download it from GitHub.
Specially designed for image leg/arm hair removal. 专门为除去照片中腿毛等体毛而设计。 Project link - 项目链接: github.com/FerryYoungFan/FanselineImageToolbox Designed by Fanseline (@FanKetchup): GitHub Twitter Pixiv.
Specially designed for image leg/arm hair removal. 专门为除去照片中腿毛等体毛而设计。 Project link - 项目链接: github.com/FerryYoungFan/FanselineImageToolbox Designed by Fanseline (@FanKetchup): GitHub Twitter Pixiv.
Support
Quality
Security
License
Reuse
Support
FanselineImageToolbox has a low active ecosystem.
It has 64 star(s) with 3 fork(s). There are 2 watchers for this library.
It had no major release in the last 12 months.
There are 2 open issues and 0 have been closed. On average issues are closed in 68 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of FanselineImageToolbox is v1.0.2
Quality
FanselineImageToolbox has 0 bugs and 0 code smells.
Security
FanselineImageToolbox has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
FanselineImageToolbox code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
FanselineImageToolbox 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
FanselineImageToolbox releases are available to install and integrate.
FanselineImageToolbox has no build file. You will be need to create the build yourself to build the component from source.
It has 5257 lines of code, 356 functions and 30 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed FanselineImageToolbox and discovered the below as its top functions. This is intended to give you an instant insight into FanselineImageToolbox implemented functionality, and help decide if they suit your requirements.
- Update mask
- Preview an image
- Blend an image
- Modify the image
- Update the image
- Convert image to QPixmap
- Show the histogram
- Get the histogram of the given image
- Update language
- Show the button
- Load config file
- Handles undo event
- Activate inpt
- Reset window release
- Check the Python environment
- Update the edge filter
- Release selection
- Release window
- Clean all contents of the image
- Undo the undo function
- Release gccut
- Update the image
- Unregister the undo mask
- Activate the undo mask
- Display the button
- Updates the mask
- Applies release
Get all kandi verified functions for this library.
FanselineImageToolbox Key Features
No Key Features are available at this moment for FanselineImageToolbox.
FanselineImageToolbox Examples and Code Snippets
No Code Snippets are available at this moment for FanselineImageToolbox.
Community Discussions
No Community Discussions are available at this moment for FanselineImageToolbox.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install FanselineImageToolbox
You can download it from GitHub.
You can use FanselineImageToolbox 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.
You can use FanselineImageToolbox 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 like this software, please star this repository on GitHub. ... or you can directly support me with money: https://afdian.net/@Fanseline.
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page