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. Of course if you have used pip to install ftis then none of the previous advice applies.

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

# import ftis modules that we need
from ftis.analyser.slicing import FluidNoveltyslice # novelty slicing
from ftis.world import World # a ftis 'world'
from ftis.corpus import Corpus # a corpus object

src = Corpus("~/corpus-folder/corpus1") # corpus object collects audio files at this directory
out = "~/corpus-folder/slicing" # set an output folder

# instantiate an instance of the process
world = World(sink=out)

# Connect together processes using >>
src >> FluidNoveltySlice(threshold=0.35, feature=1) >> ExplodeAudio()

# now add a Corpus node to our world
world.build(src)

if __name__ == "__main__":
    world.run() # finally run the chain of connected analysers

and thats it! For more information read the full documentation.

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-2.0.1.tar.gz (19.0 kB view details)

Uploaded Source

File details

Details for the file ftis-2.0.1.tar.gz.

File metadata

  • Download URL: ftis-2.0.1.tar.gz
  • Upload date:
  • Size: 19.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.0 requests/2.24.0 setuptools/50.2.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for ftis-2.0.1.tar.gz
Algorithm Hash digest
SHA256 e66cc433289e2478b7fd55ad6a345bb5786aac76226d1d96bcb76f708f5273ff
MD5 174957958a79e4cefdee76aa88e4182b
BLAKE2b-256 e7827728efb93c355756fc4a90a0271ede2e4175eba6f9d053c0493cffb978c6

See more details on using hashes here.

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