FReeNet | FReeNet : Multi-Identity Face Reenactment , CVPR'20 | Computer Vision library

by zhangzjn Python Version: Current License: No License

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

kandi X-RAY | FReeNet Summary

FReeNet is a Python library typically used in Artificial Intelligence, Computer Vision, Pytorch, Generative adversarial networks applications. FReeNet has no bugs and it has low support. However FReeNet has 1 vulnerabilities and it build file is not available. You can download it from GitHub.

Official pytorch implementation of the paper "FReeNet: Multi-Identity Face Reenactment, CVPR'20".

Support

Quality

Security

License

Reuse

Support

FReeNet has a low active ecosystem.

It has 71 star(s) with 18 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 1 have been closed. On average issues are closed in 75 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FReeNet is current.

Quality

FReeNet has 0 bugs and 0 code smells.

Security

FReeNet has 1 vulnerability issues reported (0 critical, 1 high, 0 medium, 0 low).

FReeNet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

FReeNet 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

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

FReeNet 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.

FReeNet saves you 1102 person hours of effort in developing the same functionality from scratch.

It has 2493 lines of code, 197 functions and 31 files.

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

Top functions reviewed by kandi - BETA

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

Display the current visualization
Saves a numpy array
Add an h3 header
Add images
Crop and return a crop image
Format a land map
Draws a circle
R Define the G
Get a norm layer
Create a dataset
Construct a VGG model
Create a VGG16 model
Optimizes parameters
Setup scheduler
Create a model by name
Create a VGG model
Add an html header
Construct a VGG16 model
Save all the network layers
Define the discriminator layer
Print the current loss
Saves visuals
Download dataset
Get a transformation function
Plot the current loss
Parse options
Set the input tensor

Get all kandi verified functions for this library.

FReeNet Key Features

No Key Features are available at this moment for FReeNet.

FReeNet Examples and Code Snippets

No Code Snippets are available at this moment for FReeNet.

Community Discussions

Trending Discussions on FReeNet

Freenet Message System don't work when i start with bash script

QUESTION

Freenet Message System don't work when i start with bash script

Asked 2021-Dec-01 at 00:22

I try start FMS to Freenet it's localhost:8080 so if i had start this without .sh script everything works, but when i start this with .sh script, it show me(console and there is maintenance...):

...

ANSWER

Answered 2021-Dec-01 at 00:22

I did it! I changed my script like this, and it works:

Source https://stackoverflow.com/questions/70148440

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

Vulnerabilities

CVE-2019-9673 HIGH

Freenet 1483 has a MIME type bypass that allows arbitrary JavaScript execution via a crafted Freenet URI.

https://github.com/mgrube/CVE-2019-9673

https://freenetproject.org/freenet-build-1484-released.html

https://freenetproject.org

Install FReeNet

You can download it from GitHub.
You can use FReeNet 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 .

Find more information at: