Manga-colorization---cycle-gan | Tutorial about the use of cycle-gan to colorize a manga
kandi X-RAY | Manga-colorization---cycle-gan Summary
kandi X-RAY | Manga-colorization---cycle-gan Summary
Manga-colorization---cycle-gan is a Python library typically used in Institutions, Learning, Education applications. Manga-colorization---cycle-gan has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. However Manga-colorization---cycle-gan build file is not available. You can download it from GitHub.
This figure is a simplified overview of the algorithm. We start an input image in color (1). We use a generator A->B to get a B/W version (2). This process is repeated twice: Black/White -> color and color -> Black/White.
This figure is a simplified overview of the algorithm. We start an input image in color (1). We use a generator A->B to get a B/W version (2). This process is repeated twice: Black/White -> color and color -> Black/White.
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Manga-colorization---cycle-gan has a low active ecosystem.
It has 128 star(s) with 6 fork(s). There are 6 watchers for this library.
It had no major release in the last 6 months.
There are 4 open issues and 0 have been closed. On average issues are closed in 581 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Manga-colorization---cycle-gan is current.
Quality
Manga-colorization---cycle-gan has 0 bugs and 0 code smells.
Security
Manga-colorization---cycle-gan has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Manga-colorization---cycle-gan code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Manga-colorization---cycle-gan is licensed under the MPL-2.0 License. This license is Weak Copyleft.
Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.
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Manga-colorization---cycle-gan releases are not available. You will need to build from source code and install.
Manga-colorization---cycle-gan has no build file. You will be need to create the build yourself to build the component from source.
Manga-colorization---cycle-gan saves you 652 person hours of effort in developing the same functionality from scratch.
It has 1514 lines of code, 144 functions and 25 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed Manga-colorization---cycle-gan and discovered the below as its top functions. This is intended to give you an instant insight into Manga-colorization---cycle-gan implemented functionality, and help decide if they suit your requirements.
- Display the current visualization
- Convert a Tensor to an image
- Save the document
- Add images
- Downloads the dataset
- Download the data from the given URL
- Display the available options
- Returns a list of compressed tar files
- Get the current losses
- Make a dataset from a directory
- Print current losses
- Setup the scheduler
- Create a dataset
- Create and initialize a model
- Returns a dict of current visual names
- Create directories
- Evaluate the model
- Save the document to disk
- Saves all the network layers
- Performs the optimizer
- Define a discriminator layer
- Get the transform function for the given opt
- Parse options
- Save visuals to HTML
- Plot the current loss over time
- Define the network G
- Run optimizer
Get all kandi verified functions for this library.
Manga-colorization---cycle-gan Key Features
No Key Features are available at this moment for Manga-colorization---cycle-gan.
Manga-colorization---cycle-gan Examples and Code Snippets
No Code Snippets are available at this moment for Manga-colorization---cycle-gan.
Community Discussions
No Community Discussions are available at this moment for Manga-colorization---cycle-gan.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Manga-colorization---cycle-gan
You can download it from GitHub.
You can use Manga-colorization---cycle-gan 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 Manga-colorization---cycle-gan 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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