Patrick McGuire
68 lines
2.7 KiB
Markdown
68 lines
2.7 KiB
Markdown
# BirdNET-Pi
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A realtime acoustic bird classification system for the Raspberry Pi 4B
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## Introduction
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The BirdNET-Pi project is built on the [TFLite version of BirdNET](https://github.com/kahst/BirdNET-Lite). It is able to recognize bird sounds from a USB sound card in realtime.
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[Check out my live system](https://birdnetpi.pmcgui.xyz)<br>
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[and NatureStation.net](https://birds.naturestation.net)<br>
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[and an installation in Germany](https://birdnetpigermany.hopto.org)
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## Features
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* 24/7 recording and BirdNET-Lite analysis
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* Web interface access to all data and logs
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* Automatic extraction of detected data (creating audio clips of detected bird sounds)
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* Spectrograms available for all extractions
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* MariaDB integration
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* NoMachine remote desktop (for personal use only)
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* Live audio stream
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* Integrated phpSysInfo
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* New species mobile notifications from Pushed.co (for iOS users only)
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* Localisation supported
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## Requirements
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* A Raspberry Pi 4B
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* An SD Card with the 64-bit version of RaspiOS installed [(download the latest here)](https://downloads.raspberrypi.org/raspios_arm64/images/)
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* A USB Microphone or Sound Card
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## Installation
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Headless installation guide available [HERE](https://github.com/mcguirepr89/BirdNET-Pi/wiki/%22Headless%22-installation-using-VNC)<br>
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Pre-installeld beta image available for testing [HERE](https://github.com/mcguirepr89/BirdNET-Pi/discussions/63)
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The system can be installed with:
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```
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curl -s https://raw.githubusercontent.com/mcguirepr89/BirdNET-Pi/newinstaller/newinstaller.sh | bash
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```
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## Access
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The BirdNET-Pi system can be accessed from any web browser on the same network:
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- http://birdnetpi.local
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#### Access Credentials:
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- Username:`birdnet`
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- Password: The "CADDY_PWD" password set during installation
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## Uninstallation
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```
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/usr/local/bin/uninstall.sh && cd ~ && rm -drf BirdNET-Pi
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```
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## ToDo, Notes, and Comming Soon
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### Internationalization:
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The bird names are in English by default, but other localized versions are available. Please download the labels_l18n.zip file and replace the `model/labels.txt` with the corresponding language.
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### Realtime Analysis Predictions View
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The pre-built TFLite binaries for this project also support [the BirdNET-Demo](https://github.com/kahst/BirdNET-Demo), which I am currently testing for integration into the BirdNET-Pi. If you know anything about JavaScript and are willing to help, please let me know in the [Live Analysis discussion](https://github.com/mcguirepr89/BirdNET-Pi/discussions/24).
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### Tips:
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You can try to overclock your Pi by placing the following in your `/boot/config.txt` file:
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```
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over_voltage=6
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arm_freq=1750
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```
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Be sure the Pi is adequately cooled and powered.
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