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
1 maintainer
Metadata
1 maintainer
Release files for hifiberrydsp 0.12.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| hifiberrydsp-0.12.1.tar.gz | 26.4 kB | Without provenance | Details for hifiberrydsp-0.12.1.tar.gz |
Release files / hifiberrydsp-0.12.1.tar.gz
| Download URL | hifiberrydsp-0.12.1.tar.gz |
|---|---|
| Size | 26.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e5dbbb0416b37c5465ede4055fde71c761407b44d9246ecd8003356094972368
|
|
BLAKE2b-256 checksum How to use checksums |
e9fc5844905eabfe5640bdb33716f376f70beb131853fcbb2866a2ec2c177527
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for hifiberrydsp 0.12.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
