ESRGAN | ECCV18 Workshops - Enhanced SRGAN | Computer Vision library

by xinntao Python Version: old-arch License: Apache-2.0

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | ESRGAN Summary

ESRGAN is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch applications. ESRGAN has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However ESRGAN build file is not available. You can download it from GitHub.

BasicSR is an open source image and video super-resolution toolbox based on PyTorch (will extend to more restoration tasks in the future). It includes methods such as EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. It now also supports StyleGAN2.

Support

Quality

Security

License

Reuse

Support

ESRGAN has a medium active ecosystem.

It has 5148 star(s) with 957 fork(s). There are 117 watchers for this library.

It had no major release in the last 6 months.

There are 83 open issues and 41 have been closed. On average issues are closed in 42 days. There are 9 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ESRGAN is old-arch

Quality

ESRGAN has 0 bugs and 0 code smells.

Security

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

ESRGAN code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ESRGAN is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

ESRGAN releases are not available. You will need to build from source code and install.

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

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

ESRGAN saves you 55 person hours of effort in developing the same functionality from scratch.

It has 145 lines of code, 7 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Initialize the RRDB .
Forward forward computation .
Create a single layer .

Get all kandi verified functions for this library.

ESRGAN Key Features

No Key Features are available at this moment for ESRGAN.

ESRGAN Examples and Code Snippets

default

Python

Lines of Code : 65

License : Permissive (Apache-2.0)

Copy

@article{DBLP:journals/corr/abs-1802-08797,
  author    = {Yulun Zhang and
               Yapeng Tian and
               Yu Kong and
               Bineng Zhong and
               Yun Fu},
  title     = {Residual Dense Network for Image Super-Resolut

VSGAN-tensorrt-docker,ncnn

Python

Lines of Code : 55

License : Permissive (BSD-3-Clause)

Copy

yay -S vapoursynth-git ffms2 ncnn

# nvidia
yay -S nvidia-utils
# amd
yay -S vulkan-radeon
or
yay -S vulkan-amdgpu-pro

sudo pacman -S base-devel cmake vulkan-headers vulkan-icd-loader python
pip install meson ninja

git clone https://github.com/DaGo

GAN in Pytorch

Python

Lines of Code : 28

License : Permissive (Apache-2.0)

Copy

$ cd gan
$ python train.py
$ python infer.py

$ cd wgan
$ python train.py
$ python infer.py

$ cd wgan-gp
$ python train.py
$ python infer.py

$ cd dcgan
$ python train.py
$ python infer.py

$ cd cgan
$ python train.py
$ python infer.py

$ cd context

Community Discussions

Trending Discussions on ESRGAN

AttributeError: 'numpy.ndarray' object has no attribute 'unsqueeze'

QUESTION

AttributeError: 'numpy.ndarray' object has no attribute 'unsqueeze'

Asked 2021-Jul-09 at 17:24

I'm running a training code using pyhtorch and numpy.

This is the plot_example function:

...

ANSWER

Answered 2021-Jul-09 at 17:24

Make sure image is a tensor in the shape of [batch size, channels, height, width] before entering any Pytorch layers.

Here you have image=np.asarray(image)

I would remove this numpy conversion and keep it a torch.tensor.

Or if you really want it to be a numpy array, then right before it enters your generator make sure to use torch.from_numpy() as shown in this documentation on your numpy image before it gets unsqueezed: https://pytorch.org/docs/stable/generated/torch.from_numpy.html

This function is ofcourse an alternative if you don't want to get rid of that original conversion.

Sarthak Jain

Source https://stackoverflow.com/questions/68319216

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

Vulnerabilities

No vulnerabilities reported

Install ESRGAN

You can download it from GitHub.
You can use ESRGAN 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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