seeprettyface-face_editor | This is a face attribute editor based on StyleGAN

by a312863063 Python Version: Current License: No License

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

kandi X-RAY | seeprettyface-face_editor Summary

seeprettyface-face_editor is a Python library. seeprettyface-face_editor has no bugs, it has no vulnerabilities and it has low support. However seeprettyface-face_editor build file is not available. You can download it from GitHub.

This is a face attribute editor based on StyleGAN

Support

Quality

Security

License

Reuse

Support

seeprettyface-face_editor has a low active ecosystem.

It has 456 star(s) with 164 fork(s). There are 18 watchers for this library.

It had no major release in the last 6 months.

There are 14 open issues and 4 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of seeprettyface-face_editor is current.

Quality

seeprettyface-face_editor has 0 bugs and 26 code smells.

Security

seeprettyface-face_editor has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

seeprettyface-face_editor code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

seeprettyface-face_editor 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

seeprettyface-face_editor releases are not available. You will need to build from source code and install.

seeprettyface-face_editor has no build file. You will be need to create the build yourself to build the component from source.

seeprettyface-face_editor saves you 624 person hours of effort in developing the same functionality from scratch.

It has 1451 lines of code, 122 functions and 13 files.

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

Top functions reviewed by kandi - BETA

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

Run the model
Builds the output for the given inputs
Clone the network
Copy variables from src_net to src_net
Submit a run
Get a path from a template
Create a local run directory
Get the next run id in the run directory
Applies the gradients to each device
Undo the loss scaling function
Returns the loss scaling variable
Reset the optimizer state
Download a file from the cache
Return True if obj is a valid URL
Write text to the file
Flush the output buffer
Register gradients
Apply loss scaling
Prints the list of layers
Return a list of all layers
Get the value of a variable
Convert a path
Read a feature file
Move latent vectors
Convert this network to a new network
Sets the variable to the given value

Get all kandi verified functions for this library.

seeprettyface-face_editor Key Features

No Key Features are available at this moment for seeprettyface-face_editor.

seeprettyface-face_editor Examples and Code Snippets

No Code Snippets are available at this moment for seeprettyface-face_editor.

Community Discussions

No Community Discussions are available at this moment for seeprettyface-face_editor.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install seeprettyface-face_editor

You can download it from GitHub.
You can use seeprettyface-face_editor 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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