Face-Generator | Uses generative adversarial networks to create images | Machine Learning library

by abhaybd Python Version: Current License: MIT

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

kandi X-RAY | Face-Generator Summary

Face-Generator is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Generative adversarial networks applications. Face-Generator has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Uses generative adversarial networks to create images of faces

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Quality

Security

License

Reuse

Support

Face-Generator has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Face-Generator has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Face-Generator is current.

Quality

Face-Generator has 0 bugs and 0 code smells.

Security

Face-Generator has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Face-Generator code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Face-Generator is licensed under the MIT License. This license is Permissive.

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

Reuse

Face-Generator 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.

Face-Generator saves you 77 person hours of effort in developing the same functionality from scratch.

It has 200 lines of code, 6 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Process folder
Build the discriminator layer
Build the generator
Write log to callback
Rescale a data array
Get a batch of images

Get all kandi verified functions for this library.

Face-Generator Key Features

No Key Features are available at this moment for Face-Generator.

Face-Generator Examples and Code Snippets

No Code Snippets are available at this moment for Face-Generator.

Community Discussions

Trending Discussions on Face-Generator

Configuring class autoloading in composer

The right approach to overlay data on the picture?

QUESTION

Configuring class autoloading in composer

Asked 2020-Feb-21 at 19:00

there is a project on Github that works stably. Below is a composer file:

...

ANSWER

Answered 2020-Feb-21 at 19:00

The problem was solved by replacing the PSR-4 to classmap. Thanks @MagnusEriksson.

Composer file:

Source https://stackoverflow.com/questions/60338891

QUESTION

The right approach to overlay data on the picture?

Asked 2019-Nov-25 at 01:38

There is a class for rendering data on the userbar.

It works fine, but I want to clarify. In the process, the data is superimposed on the image, and you should use clone for both Imagick and ImagickDraw - to save the previous overlays.

...

ANSWER

Answered 2019-Nov-25 at 01:38

bad logic :

Source https://stackoverflow.com/questions/58995721

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

Vulnerabilities

No vulnerabilities reported

Install Face-Generator

You can download it from GitHub.
You can use Face-Generator 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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