Skip to main content

The finding things in stuff package.

Project description

ftis - finding things in stuff

ftis is a framework for data manipulation, management, creation and munging in Python 3.8+. It is designed for creative use, mainly for my own preoccupations with segmenting, analysing, organising, discovering structure within, and composing with audio corpora.

Architecture

The overall architecture can be conceived in two parts; 'analysers' and 'processes'. A ftis 'process' can house any number of 'analysers' that can be chained and connected in different ways. A python script can house any number of processes and therefore you can compose multiple processes. Inside of a process, ftis makes connections between a source, the analysers and an output.

Installation

You can install ftis using pip install ftis. This will pull down the necessary dependencies so that all of the analysers that ship with ftis work straight away.

You can also fork this repository and clone it to your machine.

Workflow

The simplest setup is to have a virtual environment setup with ftis installed as a module. cd to the clone of your fork of ftis and enter the module (the directory containing setup.py). Once there run pip install -e . to install ftis to your activated virtual environment. Once you've designed your script you can easily run it with python mycoolscript.py.

There are some good examples of scripts in the examples directory of this repository. Otherwise the basic structure looks like this:

from ftis.analyser import (
    FluidNoveltyslice, 
    ExplodeAudio, 
    CollapseAudio
) # import the analysers that you want to use from ftis.analyser
from ftis.process import FTISProcess # import the FTISProcess class

src = "/home/james/Documents/media" # set up the source 
folder = "/home/james/Documents/analysis" # set up the output folder

process = FTISProcess(source=src, folder=folder) # create an instance of the FTISProcess

process.add(
    FluidNoveltyslice(threshold=0.35, feature=1),
    ExplodeAudio()
) # Add some analysers to your process (the order of the args is the order of the chain)

process.run() # call the run() method

and thats it!

Contributing

If you feel up to contributing plumbing code or your own analysers please feel free to do via github.

  1. Fork this repository
  2. Checkout a branch with your new feature
  3. Implement feature
  4. Make a pull request!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ftis-1.0.2.tar.gz (2.8 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page