PI-REC | Progressive Image Reconstruction Network With Edge | Machine Learning library

by youyuge34 Python Version: v0.1 License: Non-SPDX

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

kandi X-RAY | PI-REC Summary

PI-REC is a Python library typically used in Telecommunications, Media, Media, Entertainment, Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Generative adversarial networks applications. PI-REC has no vulnerabilities, it has build file available and it has medium support. However PI-REC has 1 bugs and it has a Non-SPDX License. You can download it from GitHub.

:fire: PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain. :fire: 图像翻译，条件GAN，AI绘画

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Quality

Security

License

Reuse

Support

PI-REC has a medium active ecosystem.

It has 1977 star(s) with 239 fork(s). There are 34 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 13 have been closed. On average issues are closed in 62 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of PI-REC is v0.1

Quality

PI-REC has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 57 code smells.

Security

PI-REC has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

PI-REC code analysis shows 0 unresolved vulnerabilities.

There are 3 security hotspots that need review.

License

PI-REC 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

PI-REC 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.

PI-REC saves you 611 person hours of effort in developing the same functionality from scratch.

It has 1422 lines of code, 69 functions and 22 files.

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

Top functions reviewed by kandi - BETA

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

Refine a single image
Convert an image into a tensor
Resize an image
Refine the image
Load the model
Load config options
Main function
Loads the model
Evaluate G and R
Apply postprocessing
Save an image
Align the output to the output
Process an edge
Draws the graph
Load the generator weights
Get the model list for a given key
Check if the configuration file exists
Check if the config file is loaded
Evaluate R
Evaluate G
Load configume mode
Loads the model
Print the model configuration
Load config file

Get all kandi verified functions for this library.

PI-REC Key Features

No Key Features are available at this moment for PI-REC.

PI-REC Examples and Code Snippets

No Code Snippets are available at this moment for PI-REC.

Community Discussions

Trending Discussions on PI-REC

how to calculate pi recursively in python?

QUESTION

how to calculate pi recursively in python?

Asked 2020-Feb-08 at 08:11

Well, I searched a lot to find a solution to calculating pi recursively in python, but i did not find any solution on entire stackoverflow and internet, Although I found a solution for C language in Calculating PI recursively in C

...

ANSWER

Answered 2019-Nov-15 at 17:18

Re-written in python:

Source https://stackoverflow.com/questions/58881802

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

Vulnerabilities

No vulnerabilities reported

Install PI-REC

You can download it from GitHub.
You can use PI-REC 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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