deepfakes | This is the code for `` DeepFakes '' by Siraj Raval on Youtube | Machine Learning library

by llSourcell Python Version: Current License: No License

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

kandi X-RAY | deepfakes Summary

deepfakes is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. deepfakes has no bugs, it has no vulnerabilities, it has build file available and it has medium support. You can download it from GitHub.

This is the code for this video on Youtube by Siraj Raval. Notice: This repository is not operated or maintained by /u/deepfakes. Please read the explanation below for details.

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Security

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deepfakes has a medium active ecosystem.

It has 941 star(s) with 463 fork(s). There are 72 watchers for this library.

It had no major release in the last 6 months.

There are 10 open issues and 1 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of deepfakes is current.

Quality

deepfakes has 0 bugs and 0 code smells.

Security

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

deepfakes code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

deepfakes 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

deepfakes 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 available. Examples and code snippets are not available.

deepfakes saves you 422 person hours of effort in developing the same functionality from scratch.

It has 1000 lines of code, 92 functions and 20 files.

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

Top functions reviewed by kandi - BETA

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

Parse command line arguments
Load training data
Loads the model weights
Train one step
Save weights to files
Processes the model
Convert a single image
Checks if filename is in the frame range
Generator for all images in the directory
Apply a patch to an image
Adjust the average color of two images
Adjusts the mask of the image
Transpose an image
Process the arguments
Finalize the results
Load a face filter
Get a folder
Extracts all faces from the image
Encoder function
Create a block of convolutional convolution
Transformer
U upscale convolution layer
Extract image
Transform an image
Process arguments
Minibatch minibatch

Get all kandi verified functions for this library.

deepfakes Key Features

No Key Features are available at this moment for deepfakes.

deepfakes Examples and Code Snippets

No Code Snippets are available at this moment for deepfakes.

Community Discussions

Trending Discussions on deepfakes

install python 3.7 via google colab as default python

Not able to save foreign key serializer value

QUESTION

install python 3.7 via google colab as default python

Asked 2020-Nov-19 at 20:16

I need to use python3.7 as default python version to use in google colab(via this notebook ) for testing the faceswap GitHub project, by this codes:

...

ANSWER

Answered 2020-Nov-19 at 20:16

According to this post, there are different ways to run a specific version of Python on Colab:

Installing Anaconda
Adding (fake) google.colab library
Starting Jupyterlab
Accessing it with ngrok

The code sample is below

Source https://stackoverflow.com/questions/63867581

QUESTION

Not able to save foreign key serializer value

Asked 2020-Aug-21 at 03:48

I have two models namely Media and Source.

Source is a foreign key field in Media table.

Below code shows the Serializer needed by REST API and to save the Media information.

What problem I am facing is that whenever I tried to POST data on MEDIA rest end point, Source value is not getting stored. It shows null.

...

ANSWER

Answered 2020-Aug-21 at 03:48

As you have declared source as read_only, it will not be considered in POST it will show only in 'GET' request.

so try this way:

Source https://stackoverflow.com/questions/63515103

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

Vulnerabilities

No vulnerabilities reported

Install deepfakes

Clone the repo and setup you environment. There is a Dockerfile that should kickstart you. Otherwise you can setup things manually, see in the Dockerfiles for dependencies. Check out ../blob/master/INSTALL.md and ../blob/master/USAGE.md for basic information on how to configure virtualenv and use the program. You also need a modern GPU with CUDA support for best performance. Reusing existing models will train much faster than starting from nothing. If there is not enough training data, start with someone who looks similar, then switch the data.
Build: docker build -t deepfakes .
Run: docker run --rm --name deepfakes -v [src_folder]:/srv -it deepfakes bash . bash can be replaced by your command line Note that the Dockerfile does not have all good requirments, so it will fail on some python 3 commands. Also note that it does not have a GUI output, so the train.py will fail on showing image. You can comment this, or save it as a file.

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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