Skip to main content
Yanked

This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Reason given by maintainers: User should not update via PyPi anymore

Software for HiFiBerry boards equipped with DSP. This package can be used to read/write data to HiFiBerry DSP boards using the Beocreate TCP server.

Installation

Before installing the dsptoolkit, you need to have a working Python 3 installation (>=3.5) and a working pip.

You can then install the toolkit by just running

sudo pip3 install –upgrade hifiberrydsp

This will only install the software, but not activate the server. Depending on your system, you might need to create a startup script or a systemd unit file for this.

If you’re using a Debian based system (e.g. Debian, Raspbian), there is a script that does all the work for you. Just run the following command:

bash <(curl https://raw.githubusercontent.com/hifiberry/hifiberry-dsp/master/install-dsptoolkit)

sigmatcpserver

This server runs in background and provides a TCP interface (port 8089) to access DSP functions. It is compatible with SigmaStudio. That means you can directly deploy DSP programs from SigmaStudio and change parameters online.

The server automatically dumps the so-called parameter RAM to the file system when it terminates. On startup, it checks for a parameter RAM file and if it exists it writes it back to the parameter memory. This ensures that parameters like volume controls, filter parameters, switch settings will be automatically restored even if they are not saved in the EEPROM.

The server accepts the following command line parameters:

-v

Verbose output.

--alsa

Create an ALSA volume control that is synced with the volume control of the running DSP program

Command line utility

The dsptoolkit command is the main command line tool to communicate with the DSP TCP server. The command line parameters are documented in doc/dsptoolkit.md

REW integration

The software can be used to push filters created by Room Equalisation Wizard (REW) to the DSP. Have a look at the guide in /doc/rew-basics.md

DSP profile format

DSP profiles can be generated directly in SigmaStudio. However, to enable the full potential of DSP Profiles and allow DSPToolkit to directly control the DSP program, you need to add some additional metadata to the XML file. The process to create a DSP profile is documented in /doc/dspprofiles.md

Download files

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

Source Distribution

hifiberrydsp-0.12.3.tar.gz (26.6 kB view details)

Uploaded Source

File details

Details for the file hifiberrydsp-0.12.3.tar.gz.

File metadata

  • Download URL: hifiberrydsp-0.12.3.tar.gz
  • Upload date:
  • Size: 26.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.6.6

File hashes

Hashes for hifiberrydsp-0.12.3.tar.gz
Algorithm Hash digest
SHA256 3e117414217e47fde8cd2c80c83961dfa62f2d7fb77128a0cc0bf97cecd258e8
MD5 a86614752e51a63a02c30284a405ba97
BLAKE2b-256 66a66fb14e86f7ab2dd39c820433fbc02e8b7a3fc93f89a77d3c96b07fc17d16

See more details on using hashes here.

Supported by

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