mandylion | Generate icons using recurrent neural networks

 by   DOsinga Python Version: Current License: Apache-2.0

kandi X-RAY | mandylion Summary

kandi X-RAY | mandylion Summary

mandylion is a Python library. mandylion has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Generate icons using recurrent neural networks. icon_rnn.py expects a data directory containing one or more datasets. A dataset should contain a training subdirectory containing icons to train on. If you don't have one, you can run draw_emoiji.py which will render the emoiji's as bitmaps. That's only around 1000 images though, which is not very much.
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            kandi-support Support

              mandylion has a low active ecosystem.
              It has 16 star(s) with 9 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              mandylion has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of mandylion is current.

            kandi-Quality Quality

              mandylion has 0 bugs and 0 code smells.

            kandi-Security Security

              mandylion has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              mandylion code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              mandylion is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              mandylion releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              mandylion saves you 157 person hours of effort in developing the same functionality from scratch.
              It has 391 lines of code, 21 functions and 3 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed mandylion and discovered the below as its top functions. This is intended to give you an instant insight into mandylion implemented functionality, and help decide if they suit your requirements.
            • Creates a STEL image
            • Generate a random icon
            • Run a single step
            • Decode an image
            • Check if label is a boundary color
            • Embed a sequence of rows
            • Train model
            • Train the model
            • Load all the icons in the given directory
            • Encode an icon
            • Classify the model
            • Create a poster
            • Embed a 2d array
            Get all kandi verified functions for this library.

            mandylion Key Features

            No Key Features are available at this moment for mandylion.

            mandylion Examples and Code Snippets

            No Code Snippets are available at this moment for mandylion.

            Community Discussions

            No Community Discussions are available at this moment for mandylion.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install mandylion

            You can download it from GitHub.
            You can use mandylion 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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            CLONE
          • HTTPS

            https://github.com/DOsinga/mandylion.git

          • CLI

            gh repo clone DOsinga/mandylion

          • sshUrl

            git@github.com:DOsinga/mandylion.git

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