BasicSR | Open Source Image and Video Restoration Toolbox | Machine Learning library

by xinntao Python Version: 1.4.2 License: Apache-2.0

X-Ray Key Features Code Snippets(4)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | BasicSR Summary

BasicSR is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Generative adversarial networks applications. BasicSR has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install BasicSR' or download it from GitHub, PyPI.

:rocket: We add BasicSR-Examples, which provides guidance and templates of using BasicSR as a python package. :rocket:. :loudspeaker: 技术交流QQ群：320960100 入群答案：互帮互助共同进步. :compass: 入群二维码 (QQ、微信) 入群指南 (腾讯文档). Google Colab: GitHub Link | Google Drive Link :m: Model Zoo: :arrow_double_down: Google Drive: Pretrained Models | Reproduced Experiments :arrow_double_down: 百度网盘: 预训练模型 | 复现实验 :file_folder: Datasets: :arrow_double_down: Google Drive :arrow_double_down: 百度网盘 (提取码:basr) :chart_with_upwards_trend: Training curves in wandb :computer: Commands for training and testing :zap: HOWTOs. BasicSR (Basic Super Restoration) is an open-source image and video restoration toolbox based on PyTorch, such as super-resolution, denoise, deblurring, JPEG artifacts removal, etc. BasicSR (Basic Super Restoration) 是一个基于 PyTorch 的开源图像视频复原工具箱, 比如超分辨率, 去噪, 去模糊, 去 JPEG 压缩噪声等. :sparkles: Projects that use BasicSR.

Support

Quality

Security

License

Reuse

Support

BasicSR has a medium active ecosystem.

It has 2890 star(s) with 679 fork(s). There are 74 watchers for this library.

It had no major release in the last 12 months.

There are 185 open issues and 227 have been closed. On average issues are closed in 19 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of BasicSR is 1.4.2

Quality

BasicSR has 0 bugs and 0 code smells.

Security

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

BasicSR code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

BasicSR 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

BasicSR releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

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

BasicSR saves you 4188 person hours of effort in developing the same functionality from scratch.

It has 11635 lines of code, 712 functions and 126 files.

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

Top functions reviewed by kandi - BETA

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

Converts a DFA model to a DUF model .
Creates a LMDb for the given images .
Trains the training pipeline .
Define the model
Parse command line options file .
Converts an EDVR model into an EDV .
Resize an image .
NIQE function .
Calculate the weights for the kernel based on the kernel
Performs a paired crop using the provided scale parameters

Get all kandi verified functions for this library.

BasicSR Key Features

No Key Features are available at this moment for BasicSR.

BasicSR Examples and Code Snippets

A Simple Example

Python

Lines of Code : 78

License : Permissive (MIT)

Copy

python scripts/prepare_example_data.py

datasets:
  train:  # training dataset
    name: ExampleBSDS100
    type: ExampleDataset  # the class name

    # ----- the followings are the arguments of ExampleDataset ----- #
    dataroot_gt: datasets/examp

Spatio-Temporal Deformable Convolution for Compressed Video Quality Enhancement,6. License & Citation

Python

Lines of Code : 16

License : No License

Copy

@inproceedings{STDF_deng_2020,
  title={Spatio-Temporal Deformable Convolution for Compressed Video Quality Enhancement},
  author={Deng, Jianing and Wang, Li and Pu, Shiliang and Zhuo, Cheng},
  booktitle={Proceedings of the AAAI Conference on Artif

Python Utilities,3. License

Python

Lines of Code : 7

License : Permissive (Apache-2.0)

Copy

@misc{2021xing,
  author = {Qunliang Xing},
  title = {Python Utils},
  howpublished = "\url{https://github.com/ryanxingql/pythonutils}",
  year = {2021},
  note = "[Online; accessed 11-April-2021]"
}

Permission denied (Errno 13) - wandb init - In docker container

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

Copy

pip install wandb --user

Community Discussions

Trending Discussions on BasicSR

Permission denied (Errno 13) - wandb init - In docker container

DRF how to allow list in serializer CharField

QUESTION

Permission denied (Errno 13) - wandb init - In docker container

Asked 2021-Apr-13 at 23:18

I am running a docker container on a cluster where I try to run an open source code : https://github.com/xinntao/BasicSR. However I encounter the following error:

As I can see it's the package wandb that creates the error when initialized.

...

ANSWER

Answered 2021-Apr-13 at 23:18

For the pip install wandb part, change it to:

Source https://stackoverflow.com/questions/67083488

QUESTION

DRF how to allow list in serializer CharField

Asked 2020-Jul-08 at 06:01

I have basic serializers with one CharField, what i want is CharField to allow list.

...

ANSWER

Answered 2020-Jul-08 at 06:01

I would create a new serializer class for that,

Source https://stackoverflow.com/questions/62788334

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

Vulnerabilities

No vulnerabilities reported

Install BasicSR

You can install using 'pip install BasicSR' or download it from GitHub, PyPI.
You can use BasicSR 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.