SimSwap | An arbitrary face-swapping framework on images and videos with one single trained model! | Dataset library

by neuralchen Python Version: 512_beta License: Non-SPDX

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

kandi X-RAY | SimSwap Summary

SimSwap is a Python library typically used in Artificial Intelligence, Dataset applications. SimSwap has no bugs, it has no vulnerabilities and it has medium support. However SimSwap build file is not available and it has a Non-SPDX License. You can download it from GitHub.

The official project of SimSwap (ACM MM 2020)

Support

Quality

Security

License

Reuse

Support

SimSwap has a medium active ecosystem.

It has 3332 star(s) with 696 fork(s). There are 70 watchers for this library.

It had no major release in the last 12 months.

There are 243 open issues and 155 have been closed. On average issues are closed in 36 days. There are 14 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of SimSwap is 512_beta

Quality

SimSwap has no bugs reported.

Security

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

License

SimSwap 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

SimSwap releases are available to install and integrate.

SimSwap 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.

Top functions reviewed by kandi - BETA

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

Simulate a video
Reverse conversion of image
Resizes the logo
Train the network
Reverse the original image
Predict from source to target
Create a trained model
Performs a style transformation on an image
Get the crop region for the image
Performs single forward computation
Display the current results
Load image
Runs the detector on the input image
Add new strokes
Saves heatmap
Change the label map
Create a pretrained layer
Returns a data loader
Add objects
Return a colormap
Encodes features into memory
Saves visuals
Define a network layer
Create a model
Update the feature map
Perform the forward computation

Get all kandi verified functions for this library.

SimSwap Key Features

No Key Features are available at this moment for SimSwap.

SimSwap Examples and Code Snippets

No Code Snippets are available at this moment for SimSwap.

Community Discussions

Trending Discussions on SimSwap

Can I stop a User from returning to the previous page in React Navigation?

QUESTION

Can I stop a User from returning to the previous page in React Navigation?

Asked 2021-Jun-02 at 10:04

I am a little new to this. I need to stop a user from navigating back to the previous page after submitting details. I need your help. Is there a way I can prevent a user from returning back to a specific Screen in a stack. Here is a snippet of my Stack.

After ADD_CUSTOMER_DETAILS_2 once the user navigates to ADD_CUSTOMER_PHOTOS, I would like to prevent the user from navigating back to ADD_CUSTOMER_DETAILS_2

...

ANSWER

Answered 2021-Jun-02 at 10:04

in the component set a state when a user has submitted the details,

Source https://stackoverflow.com/questions/67802077

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

Vulnerabilities

No vulnerabilities reported

Install SimSwap

You can download it from GitHub.
You can use SimSwap 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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