stylegan2 | StyleGAN2 for practice | Machine Learning library

by eps696 Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | stylegan2 Summary

stylegan2 is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. stylegan2 has no bugs, it has no vulnerabilities, it has build file available and it has low support. However stylegan2 has a Non-SPDX License. You can download it from GitHub.

This version of famous StyleGAN2 is intended mostly for fellow artists, who rarely look at scientific metrics, but rather need a working creative tool. At least, this is what I use daily myself. Tested on Tensorflow 1.14, requires pyturbojpeg for JPG support. Sequence-to-video conversions require FFMPEG. For more explicit details refer to the original implementations.

Support

Quality

Security

License

Reuse

Support

stylegan2 has a low active ecosystem.

It has 170 star(s) with 24 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 6 have been closed. On average issues are closed in 85 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of stylegan2 is current.

Quality

stylegan2 has no bugs reported.

Security

stylegan2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

stylegan2 has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

stylegan2 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.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed stylegan2 and discovered the below as its top functions. This is intended to give you an instant insight into stylegan2 implemented functionality, and help decide if they suit your requirements.

Construct training loop
Run training functions
Create a tf summary
Create tensorflow variable
Run the model
Returns the output of the given function
Handle legacy output transformations
Fuse a fused bias function
Replace bias function
Reshape input tensor
Submit a run
Performs a multi - layer multimask
Umpirdn
Crop a single step
Blend two layers
Apply SWA to checkpoints
Update G_matrix from source dictionary
Generate latentanima
Run a training function
Upsample x
Copy trainable trainables to target tensor
Set the network weights
Logistic regularization
List all layers
Setup snapshot image grid
Downsamples x

Get all kandi verified functions for this library.

stylegan2 Key Features

No Key Features are available at this moment for stylegan2.

stylegan2 Examples and Code Snippets

No Code Snippets are available at this moment for stylegan2.

Community Discussions

Trending Discussions on stylegan2

Pytorch says that CUDA is not available

Getting an error while trying to apply gradients with respect to input

Sudo apt-get install in terminal asking for password

NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running. Why?

2020: nvcc fatal : Cannot find compiler 'cl.exe' in PATH

QUESTION

Pytorch says that CUDA is not available

Asked 2020-Oct-31 at 21:26

I'm trying to run Pytorch on a laptop that I have. It's an older model but it does have an Nvidia graphics card. I realize it is probably not going to be sufficient for real machine learning but I am trying to do it so I can learn the process of getting CUDA installed.

I have followed the steps on the installation guide for Ubuntu 18.04 (my specific distribution is Xubuntu).

My graphics card is a GeForce 845M, verified by lspci | grep nvidia:

...

ANSWER

Answered 2020-Oct-31 at 21:26

PyTorch doesn't use the system's CUDA library. When you install PyTorch using the precompiled binaries using either pip or conda it is shipped with a copy of the specified version of the CUDA library which is installed locally. In fact, you don't even need to install CUDA on your system to use PyTorch with CUDA support.

There are two scenarios which could have caused your issue.

You installed the CPU only version of PyTorch. In this case PyTorch wasn't compiled with CUDA support so it didn't support CUDA.
You installed the CUDA 10.2 version of PyTorch. In this case the problem is that your graphics card currently uses the 418.87 drivers, which only support up to CUDA 10.1. The two potential fixes in this case would be to either install updated drivers (version >= 440.33 according to Table 2) or to install a version of PyTorch compiled against CUDA 10.1.

To determine the appropriate command to use when installing PyTorch you can use the handy widget in the "Quick start locally" section at pytorch.org. Just select the appropriate operating system, package manager, and CUDA version then run the recommended command.

In your case one solution was to use

Source https://stackoverflow.com/questions/62359175

QUESTION

Getting an error while trying to apply gradients with respect to input

Asked 2020-Oct-30 at 10:02

I'm using StyleGANv2 (https://github.com/moono/stylegan2-tf-2.x) with original weights. My TF version is 2.2.0. The default training process and inference work fine.

But I'm trying to do learning steps with respect to input:

...

ANSWER

Answered 2020-Oct-30 at 10:02

It works now. Thanks to @klapeyron. I updated tf.Variable values with values from input_tensor:

Source https://stackoverflow.com/questions/64588797

QUESTION

Sudo apt-get install in terminal asking for password

Asked 2020-Oct-09 at 06:47

I'm using the AI Platform notebook and I want to install cuda because the Tensorflow can't use GPU.

...

ANSWER

Answered 2020-Oct-08 at 02:53

Which linux distro are you on? Like Kali has default password as root or toor or kali depending on version

Source https://stackoverflow.com/questions/64255070

QUESTION

NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running. Why?

Asked 2020-Jul-05 at 09:59

I'm trying to run stylegan2 on Google Colab but with all the files on my Drive and avoiding using !git clone from the github of stylegan2. Here is my code on the specific cell:

...

ANSWER

Answered 2020-Jul-03 at 14:44

You have to enable the GPU first in the Notebook settings.

You can easily do it by clicking on Edit > Notebook settings and selecting GPU as hardware accelerator.

That should be it.

Source https://stackoverflow.com/questions/62697331

QUESTION

2020: nvcc fatal : Cannot find compiler 'cl.exe' in PATH

Asked 2020-Mar-04 at 20:52

I'm trying to run StyleGan2 by Nvidia. I have created a new enviroment, I failed this check mandated in the readme file provided.

In particular, when I run it, I get the error you see in the title of the question. I looked it up, and the solution ostensibly is to add this path to env vars

...

ANSWER

Answered 2020-Mar-04 at 20:52

Thanks to @talonmies, the solution is as follows: Firstly, c++ package doesn't come by default with a clean new installation of VS, you need to select the package. Secondly, it seems that now the path for cl.exe is here

Source https://stackoverflow.com/questions/60523153

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

Vulnerabilities

No vulnerabilities reported

Install stylegan2

You can download it from GitHub.
You can use stylegan2 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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