stylegan2-ada-pytorch | StyleGAN2-ADA - Official PyTorch implementation | Machine Learning library
kandi X-RAY | stylegan2-ada-pytorch Summary
kandi X-RAY | stylegan2-ada-pytorch Summary
stylegan2-ada-pytorch is a Python library typically used in Artificial Intelligence, Machine Learning, Pytorch applications. stylegan2-ada-pytorch has no bugs, it has no vulnerabilities and it has medium support. However stylegan2-ada-pytorch build file is not available and it has a Non-SPDX License. You can download it from GitHub.
StyleGAN2-ADA - Official PyTorch implementation
StyleGAN2-ADA - Official PyTorch implementation
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stylegan2-ada-pytorch has a medium active ecosystem.
It has 3446 star(s) with 1023 fork(s). There are 51 watchers for this library.
It had no major release in the last 6 months.
There are 160 open issues and 85 have been closed. On average issues are closed in 67 days. There are 22 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of stylegan2-ada-pytorch is current.
Quality
stylegan2-ada-pytorch has 0 bugs and 0 code smells.
Security
stylegan2-ada-pytorch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
stylegan2-ada-pytorch code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
stylegan2-ada-pytorch 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.
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stylegan2-ada-pytorch releases are not available. You will need to build from source code and install.
stylegan2-ada-pytorch 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 stylegan2-ada-pytorch and discovered the below as its top functions. This is intended to give you an instant insight into stylegan2-ada-pytorch implemented functionality, and help decide if they suit your requirements.
- Start training loop .
- Return keyword arguments for training training loop .
- Convert a dataset into an image .
- Projects G onto a given target .
- Helper function for convolutional gradient .
- Open given URL .
- Marks a class as persistent .
- Resample x .
- Train training .
- Convert TensorFlow to TensorFlow .
Get all kandi verified functions for this library.
stylegan2-ada-pytorch Key Features
No Key Features are available at this moment for stylegan2-ada-pytorch.
stylegan2-ada-pytorch Examples and Code Snippets
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!gdown --id 1-0Nk7H6Cn3Nt60EdHG_NWSA8ohi2oBqr
!tar xf steam-oneface-lr_with_retinaface.tar.gz
Community Discussions
Trending Discussions on stylegan2-ada-pytorch
QUESTION
StyleGan2 ADA PyTorch Output Image Resolution Assertion Error
Asked 2021-Oct-03 at 11:47
I am trying to produce an image using StyleGan2.
Executing this cell:
...ANSWER
Answered 2021-Oct-03 at 11:47I have found:
The issue is the input dimension of the image must be at least [3, 1024, 1024]
mine was [3, 600, 600]
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install stylegan2-ada-pytorch
Pre-trained networks are stored as *.pkl files that can be referenced using local filenames or URLs:. Outputs from the above commands are placed under out/*.png, controlled by --outdir. Downloaded network pickles are cached under $HOME/.cache/dnnlib, which can be overridden by setting the DNNLIB_CACHE_DIR environment variable. The default PyTorch extension build directory is $HOME/.cache/torch_extensions, which can be overridden by setting TORCH_EXTENSIONS_DIR.
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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