ESPCN | PyTorch implementation of ESPCN | Machine Learning library

by leftthomas Python Version: Current License: No License

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

kandi X-RAY | ESPCN Summary

ESPCN is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. ESPCN has no bugs, it has no vulnerabilities and it has low support. However ESPCN build file is not available. You can download it from GitHub.

A PyTorch implementation of ESPCN based on CVPR 2016 paper Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network.

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Quality

Security

License

Reuse

Support

ESPCN has a low active ecosystem.

It has 466 star(s) with 111 fork(s). There are 12 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 46 have been closed. On average issues are closed in 26 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ESPCN is current.

Quality

ESPCN has 0 bugs and 0 code smells.

Security

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

ESPCN code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ESPCN does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

ESPCN 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.

ESPCN saves you 120 person hours of effort in developing the same functionality from scratch.

It has 302 lines of code, 21 functions and 6 files.

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

Top functions reviewed by kandi - BETA

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

Generate a dataset
Create an input crop
Generate a target crop
Calculates crop size
Check if filename is an image file
Test for training
Calculate the PSD value
Resets meter and loss
Reset state
Increment the metrics for each step
Compute the sum of two inputs
Reset metrics
Check whether filename is a video file

Get all kandi verified functions for this library.

ESPCN Key Features

No Key Features are available at this moment for ESPCN.

ESPCN Examples and Code Snippets

No Code Snippets are available at this moment for ESPCN.

Community Discussions

Trending Discussions on ESPCN

How to fix "ERROR : Module 'cv2' has no attribute 'legacy' on python 3.7.9 and Windows 11"?

QUESTION

How to fix "ERROR : Module 'cv2' has no attribute 'legacy' on python 3.7.9 and Windows 11"?

Asked 2022-Feb-23 at 09:53

I installed OpenCV version 4.5.2.52 to try and use super-resolution on pictures that I want to read but are too blurry.

To do so, I am following the code from this site: https://programmer.group/opencv-advanced-super-resolution-based-on-opencv.html

There are different codes on this page that I can copy, I wanted to try this one :

...

ANSWER

Answered 2022-Feb-22 at 15:25

Do not install both opencv-python and opencv-contrib-python at the same time. Install only one of both.

I can access cv2.dnn_superres in opencv-contrib-python version 4.5.5 (currently the latest).

Source https://stackoverflow.com/questions/71204741

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

Vulnerabilities

No vulnerabilities reported

Install ESPCN

You can download it from GitHub.
You can use ESPCN 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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