neural_style_transfer | Neural Style Transfer | Machine Learning library

 by   carlosfab Python Version: Current License: MIT

kandi X-RAY | neural_style_transfer Summary

kandi X-RAY | neural_style_transfer Summary

neural_style_transfer is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. neural_style_transfer 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.

Neural Style Transfer
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              neural_style_transfer has a low active ecosystem.
              It has 5 star(s) with 4 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              neural_style_transfer has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of neural_style_transfer is current.

            kandi-Quality Quality

              neural_style_transfer has no bugs reported.

            kandi-Security Security

              neural_style_transfer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              neural_style_transfer is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

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              neural_style_transfer 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.

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            neural_style_transfer Key Features

            No Key Features are available at this moment for neural_style_transfer.

            neural_style_transfer Examples and Code Snippets

            No Code Snippets are available at this moment for neural_style_transfer.

            Community Discussions

            QUESTION

            Importing package "imutil" works in PyCharm and python terminal but not windows terminal
            Asked 2018-Dec-31 at 22:37

            In Pycharm (runs on Python 3.7), I am doing this Computer Visions tutorial which requires the package imutils. The interesting thing is that if I run this file named "neural_style_transfer", it works fine. But according to the tutorial we must run the following in the windows terminal

            ...

            ANSWER

            Answered 2018-Dec-31 at 22:37

            Found the solution! Anyways, you have to call:

            py -m pip install imutils in your terminal

            The logical explanation I found is this: I have 3 versions of pythons on my computer: 2.7, 3.6, 3.7. I have 3.6 because tensorflow doesn't support python 3.7 yet. But if you only call pip install imutils, it only downloads imutils to your python 3.7 site packages, which is not shared across all the python versions and is not the version I use when I do deeplearning. Therefore, to download imutils to python 3.6 (the version I use), use py -m pip install imutils.

            There's still many potholes in my conjecture though: for example, py-m pip install sounds like it doesn't specify downloading to 3.6, so why does it download to 3.6? And, for most of the time, I thought I was working on python 3.7, which should had imutils installed, but maybe I was working on 3.6 instead of 3.7.

            Source https://stackoverflow.com/questions/53990577

            QUESTION

            Where is imsave in scipy 1.0.0?
            Asked 2018-Mar-16 at 11:36

            The function imsave() does not exist in scipy.misc package in scipy 1.0.0 (Python 3.5). Where is it?

            I am trying out a sample program using keras which in terms uses scipy.misc.save(). Tried searching for the alternate location all over the place, including the index of its reference manual but still can't find it.

            Is there a different package that one must install to circumvent this problem?

            ...

            ANSWER

            Answered 2018-Mar-16 at 11:36

            Check this deprecation warning:

            imsave is deprecated! imsave is deprecated in SciPy 1.0.0, and will be removed in 1.2.0. Use imageio.imwrite instead.

            Source https://stackoverflow.com/questions/49319841

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

            Vulnerabilities

            No vulnerabilities reported

            Install neural_style_transfer

            You can download it from GitHub.
            You can use neural_style_transfer 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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          • HTTPS

            https://github.com/carlosfab/neural_style_transfer.git

          • CLI

            gh repo clone carlosfab/neural_style_transfer

          • sshUrl

            git@github.com:carlosfab/neural_style_transfer.git

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