AnimeGANv2 | Landscape photos | Machine Learning library

by TachibanaYoshino Python Version: 1.0 License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | AnimeGANv2 Summary

AnimeGANv2 is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. AnimeGANv2 has no bugs, it has no vulnerabilities and it has medium support. However AnimeGANv2 build file is not available. You can download it from GitHub.

[Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime

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Quality

Security

License

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Support

AnimeGANv2 has a medium active ecosystem.

It has 4679 star(s) with 665 fork(s). There are 62 watchers for this library.

It had no major release in the last 12 months.

There are 39 open issues and 18 have been closed. On average issues are closed in 4 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of AnimeGANv2 is 1.0

Quality

AnimeGANv2 has no bugs reported.

Security

AnimeGANv2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

AnimeGANv2 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

AnimeGANv2 releases are available to install and integrate.

AnimeGANv2 has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed AnimeGANv2 and discovered the below as its top functions. This is intended to give you an instant insight into AnimeGANv2 implemented functionality, and help decide if they suit your requirements.

Train the model .
Convert video to an anime video .
Build the convolution layer .
Adjusts the brightness of src to dst .
2D convolution layer .
Compute the discriminator loss .
Make an edge smooth .
Freezes the graph from a checkpoint .
Calculates the spectral norm .
Convolution layer .

Get all kandi verified functions for this library.

AnimeGANv2 Key Features

No Key Features are available at this moment for AnimeGANv2.

AnimeGANv2 Examples and Code Snippets

No Code Snippets are available at this moment for AnimeGANv2.

Community Discussions

Trending Discussions on AnimeGANv2

How can run PyTorch Implementation of AnimeGANv2 on google colab notebook?

QUESTION

How can run PyTorch Implementation of AnimeGANv2 on google colab notebook?

Asked 2021-Nov-17 at 19:10

Recently, I crossed to a new GitHub repo for converting images into Paprika style model, which recently got viral.

Usually, people use this interface, which takes so long time. I want to train the offered available pre-trained models on Google Colab Notebook and experiment Additional Model Weights, but not only I couldn't manage to run Torch Hub Usage according to instructions but also I couldn't run the face2paint option due to the following error:

...

ANSWER

Answered 2021-Nov-17 at 19:10

Google Colab doesn't like file transfers especially if they are repeated. (This might explain the message: "rate limit exceeded") The best is to have everything on your personal drive. This is what I propose to show you. So, what I do, is to copy the things to my personal google drive. So that I don't have to download it again. It will also bypass a potential problem with torch.hub. I'm not 100% positive, but I think it might work for you. It looks a bit lengthy, but it really take maybe 10 minutes to be up and running.

Please follow closely these instructions.

<<< PART 1 >>>

Go on:

https://colab.research.google.com/

Create a New notebook (you don't care about the name since we will run it only once)

Mount your drive (left "Files" window, the corresponding icon with the google drive icon)
permit and wait until "drive" appears (you can refresh if it takes too long)

Now, on the new notebook: Add the following 3 lines (note: the "!" sign is important!) :

NOTE: I assume you have a drive/MyDrive/Colab Notebook folder.

Source https://stackoverflow.com/questions/69912104

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

Vulnerabilities

No vulnerabilities reported

Install AnimeGANv2

You can download it from GitHub.
You can use AnimeGANv2 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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