StainGAN | StainGAN implementation based on Cycle-Consistency Concept
kandi X-RAY | StainGAN Summary
kandi X-RAY | StainGAN Summary
StainGAN is a Python library. StainGAN has no bugs, it has no vulnerabilities and it has low support. However StainGAN build file is not available. You can download it from GitHub.
StainGAN implementation based on Cycle-Consistency Concept. For more information visit website.
StainGAN implementation based on Cycle-Consistency Concept. For more information visit website.
Support
Quality
Security
License
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Support
StainGAN has a low active ecosystem.
It has 37 star(s) with 16 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
There are 4 open issues and 2 have been closed. On average issues are closed in 38 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of StainGAN is current.
Quality
StainGAN has 0 bugs and 0 code smells.
Security
StainGAN has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
StainGAN code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
StainGAN 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
StainGAN releases are not available. You will need to build from source code and install.
StainGAN 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.
StainGAN saves you 1629 person hours of effort in developing the same functionality from scratch.
It has 3618 lines of code, 237 functions and 50 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed StainGAN and discovered the below as its top functions. This is intended to give you an instant insight into StainGAN implemented functionality, and help decide if they suit your requirements.
- Adds input_distortions
- Create a list of all images in the given directory
- Retrieve a set of bottleneck bottlenecks
- Get or create a bottleneck
- Get image path
- Create bottleneck file
- Adds the final training
- Generate summaries for variables
- Display the current visual results
- Add images
- Create a bottleneck
- Run the cnn test
- Plots ROC curve
- Generates bottleneck_truths for images
- Strips an image
- Generate PNG images
- Copy images to a directory
- Define netG
- Cache the bottleneck files
- Download data
- Parse arguments
- Saves visuals to webpage
- Remove outliers
- This function gets all of the patches in the same region
- Patch a grid of ims
- Plot the gradient of the image
Get all kandi verified functions for this library.
StainGAN Key Features
No Key Features are available at this moment for StainGAN.
StainGAN Examples and Code Snippets
No Code Snippets are available at this moment for StainGAN.
Community Discussions
No Community Discussions are available at this moment for StainGAN.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install StainGAN
You can download it from GitHub.
You can use StainGAN 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 StainGAN 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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