PyTorch-CycleGAN | A clean and readable Pytorch implementation of CycleGAN | Machine Learning library

by aitorzip Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | PyTorch-CycleGAN Summary

PyTorch-CycleGAN is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Generative adversarial networks applications. PyTorch-CycleGAN has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has medium support. However PyTorch-CycleGAN build file is not available. You can download it from GitHub.

A clean and readable Pytorch implementation of CycleGAN

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Quality

Security

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PyTorch-CycleGAN has a medium active ecosystem.

It has 1012 star(s) with 267 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 33 open issues and 7 have been closed. On average issues are closed in 27 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of PyTorch-CycleGAN is current.

Quality

PyTorch-CycleGAN has 0 bugs and 0 code smells.

Security

PyTorch-CycleGAN has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

PyTorch-CycleGAN code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

PyTorch-CycleGAN is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

PyTorch-CycleGAN releases are not available. You will need to build from source code and install.

PyTorch-CycleGAN 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.

PyTorch-CycleGAN saves you 69 person hours of effort in developing the same functionality from scratch.

It has 179 lines of code, 17 functions and 3 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Log the training data
Convert a tensor

Get all kandi verified functions for this library.

PyTorch-CycleGAN Key Features

No Key Features are available at this moment for PyTorch-CycleGAN.

PyTorch-CycleGAN Examples and Code Snippets

No Code Snippets are available at this moment for PyTorch-CycleGAN.

Community Discussions

Trending Discussions on PyTorch-CycleGAN

pytorch cyclegann gives a Missing key error when testing

How can torch.cat only have one tensor?

Converting a pytorch model to nn.Module for exporting to onnx for lens studio

"ignoring potentially dangerous server-supplied filename" in pscp

QUESTION

pytorch cyclegann gives a Missing key error when testing

Asked 2021-May-26 at 11:04

I have trained a model using the pix2pix pytorch implementation and would like to test it.

However when I test it I get the error

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ANSWER

Answered 2021-May-26 at 11:04

I think the problem here is some layer the bias=None but in testing the model required this, you should check the code for details.

After I check your config in train and test, the norm is different. For the code in GitHub, the norm difference may set the bias term is True or False.

Source https://stackoverflow.com/questions/67701029

QUESTION

How can torch.cat only have one tensor?

Asked 2021-Mar-27 at 17:12

I think there is an error in line 53 of the following code:

CycleGan, Buffer for Images

It says:

...

ANSWER

Answered 2021-Mar-27 at 17:12

torch.cat's first argument is expected to be a sequence of tensors rather than a single tensor. So you pass in like:

Source https://stackoverflow.com/questions/66833911

QUESTION

Converting a pytorch model to nn.Module for exporting to onnx for lens studio

Asked 2020-Aug-06 at 22:20

I am trying to convert pix2pix to a pb or onnx that can run in Lens Studio. Lens studio has strict requirements for the models. I am trying to export this pytorch model to onnx using this guide provided by lens studio. The issue is the pytorch model found here uses its own base class, when in the example it uses Module.nn, and therefore doesnt have methods/variables that the torch.onnx.export function needs to run. So far Ive run into its missing a variable called training and a method called train

Would it be worth it to try to modify the base model, or should I try to build it from scratch using nn.Module? Is there a way to make the pix2pix model inherit from both the abstract base class and nn.module? Am I not understanding the situation? The reason why I want to do it using the lens studio tutorial is because I have gotten it to export onnx different ways but Lens Studio wont accept those for various reasons.

Also this is my first time asking a SO question (after 6 years of coding), let me know if I make any mistakes and I can correct them. Thank you.

This is the important code from the tutorial creating a pytorch model for Lens Studio:

...

ANSWER

Answered 2020-Aug-06 at 22:08

You can definitely have your model inherit from both the base class and torch.nn.Module (python allows multiple inheritance). However you should take care about the conflicts if both inherited class have functions with identical names (I can see at least one : their base provide the eval function and so to nn.module).

However since you do not need the CycleGan, and a lot of the code is compatibility with their training environment, you'd probably better just re-implement the pix2pix. Just steal the code, have it inherit from nn.Module, copy-paste useful/mandatory functions from the base class, and have everything translated into clean pytorch code. You already have the forward function (which is the only requirement for a pytorch module).

All the subnetworks they use (like the resnet blocks) seem to inherit from nn.Module already so there is nothing to change here (double check that though)

Source https://stackoverflow.com/questions/63291760

QUESTION

"ignoring potentially dangerous server-supplied filename" in pscp

Asked 2020-May-29 at 16:59

I want to copy some file from a remote Linux system to my Windows PC using pscp (from PuTTY). I wrote a small script that should copy all .png files in a directory on my server:

...

ANSWER

Answered 2020-May-28 at 14:25

-unsafe won't help with this.

The problem is that your file names contain colons. Colons are not allowed in Windows file names.

Source https://stackoverflow.com/questions/62066908

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

Vulnerabilities

No vulnerabilities reported

Install PyTorch-CycleGAN

First, you will need to download and setup a dataset. The easiest way is to use one of the already existing datasets on UC Berkeley's repository:. Valid <dataset_name> are: apple2orange, summer2winter_yosemite, horse2zebra, monet2photo, cezanne2photo, ukiyoe2photo, vangogh2photo, maps, cityscapes, facades, iphone2dslr_flower, ae_photos.

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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