# pyqtgraph-spectrographer

**Repository Path**: stef729/pyqtgraph-spectrographer

## Basic Information

- **Project Name**: pyqtgraph-spectrographer
- **Description**: This is a simple app to display a live spectrogram from microphone input (including waveform and frequency domain).
- **Primary Language**: Python
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-05-28
- **Last Updated**: 2021-05-28

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

pyqtgraph-spectrographer
========================

This is a simple app to display a live spectrogram from microphone input (including waveform and frequency domain).

.. image:: https://raw.githubusercontent.com/flothesof/pyqtgraph-spectrographer/master/assets/20191012_screenshot.png


Installation
------------

conda
~~~~~

Assuming you have git cloned the repo and have a command prompt in the cloned directory,
you can use :code:`conda` to create an environment with all necessary dependencies:

>>> conda env create -f environment.yml

Note: I have developed this on MacOS and found out that using pyaudio (bindings for PortAudio) required additional
steps such as installing PortAudio using brew. YMMV.

virtualenv + pip
~~~~~~~~~~~~~~~~

You can also install dependencies for this project in a virtualenv using :code:`pip`:

>>> python3 -m venv venv
>>> source venv/bin/activate
>>> python3 -m pip install -r requirements.txt

Note that on Ubuntu you might need to install the following packages beforehand: :code:`apt-get install python3-venv libasound-dev portaudio19-dev libportaudio2 libportaudiocpp0 python3-pyqtgraph`.

Usage
-----

From the root directory, activate the conda environment with the dependencies and run main.py

>>> conda activate spectrographer
>>> python main.py