multify | source stereo which uses facial recognition | Computer Vision library

by jackbillstrom Python Version: Current License: Apache-2.0

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

kandi X-RAY | multify Summary

multify is a Python library typically used in Telecommunications, Media, Media, Entertainment, Artificial Intelligence, Computer Vision applications. multify has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However multify build file is not available. You can download it from GitHub.

A Open-source stereo which uses facial recognition to recognize friends faces from Facebook and then play their mutual taste of music.

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multify has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

multify has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of multify is current.

Quality

multify has no bugs reported.

Security

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

License

multify is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

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

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

Installation instructions are available. Examples and code snippets are not available.

Top functions reviewed by kandi - BETA

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

Grab top songs by Facebook
Get the top songs by artist

Get all kandi verified functions for this library.

multify Key Features

No Key Features are available at this moment for multify.

multify Examples and Code Snippets

No Code Snippets are available at this moment for multify.

Community Discussions

Trending Discussions on multify

How to construct an optimal ranking function?

python3 issue when encoding binary

QUESTION

How to construct an optimal ranking function?

Asked 2019-Feb-21 at 10:18

I have a set of numerical features (f1, f2, f3, f4, f5) as follows for each user in my dataset.

...

ANSWER

Answered 2019-Feb-21 at 10:18

One way to tackle this problem is by using a machine learning algorithm that tries to learn the underlying function in order to predict the most likely score of a new user based on its features.

Note however, that the model will not perform well unless the amount of samples isn't high enough. Five samples are obviously not enough, this is just a sketch to give you an idea on how you could approach this using machine learning.

I will be using RandomForestRegressor as an example:

Source https://stackoverflow.com/questions/54800360

QUESTION

python3 issue when encoding binary

Asked 2018-Mar-20 at 22:47

I'm new to Python3. And I am writing a program that allows me to do the following:

TODO: Encode number in binary (base 2)

I am wondering why I get a weird output when I run the same code that works fine using Python2.7. My expected output for encode('10',2) = '1010' But, it prints out this instead.

...

ANSWER

Answered 2017-Oct-30 at 19:59

I am new to programming and also Python 3. Please excuse me if this tip is not helpful. But perhaps this will answer your question.

Python 3.x introduced some Python 2-incompatible keywords and features that can be imported via the in-built future module in Python 2. It is recommended to use future imports it if you are planning Python 3.x support for your code. For example, if we want Python 3.x’s integer division behavior in Python 2, we can import it via

Source https://stackoverflow.com/questions/46920363

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

Vulnerabilities

No vulnerabilities reported

Install multify

It’s a bit tricky to install this but I’ll leave some useful links on how to setup.
Python 2.7+ (Python 3+ isn’t supported)
OpenCV with Python bindings working
git @ Hexxeh/spotify-websocket-api
git @ jackbillstrom/multify
Last.FM API-Key
Rekognition V2 API-tokens
Facebook Open-graph token
Spotify Premium with a device password
Webcam First of all, you should install python if you don’t have it installed already. Now install OpenCV, I reccomend this guide: http://docs.opencv.org/doc/tutorials/introduction/linux_install/linux_install.html#linux-installation Clone git @ Hexxeh/spotify-websocket-api Clone git @ jackbillstrom/multify Get your API-tokens for all services required and replace them in the source-code Put some of your friends facebook profile photos inside the Rekognition API and name them to their Facebook ID/Facebook Username Put the jackbillstrom/multify files inside the Hexxeh/spotify-websocket-api/clients/respotify CD into Hexxeh/spotify-websocket-api/clients/respotify Start the python script facedetect.py --cascade-face=face.xml 0 Now display a users face which is inside the Rekognition API

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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