A python toolkit for Bird Activity Detection (BAD)
Project description
easybird
Easybird is python toolkit for Bird Activity Detection (BAD).
Setup and Install
We recommend using conda for environment management, since we use conda-forge to install an essential library libsndfile. To setup, copy the following command to your terminal.
conda create -n bird
conda activate bird
conda install -c conda-forge libsndfile -y
After setup the virtual env, install with pip.
pip install easybird
Single Wav
Identify bird activities for single waveform.
from easybird import detection
hasBird, confidence = detection.from_wav('bird.wav')
Output
print(hasBird)
>>> True
print(confidence)
>>> 0.9996312260627747
Multiple Wavs
Identify bird activities for multiple wavforms.
from easybird import detection
results = detection.from_wavs(['bird1.wav','bird2.wav','bird3.wav'])
Output
print(results)
>>> [(bird1, True, 0.99963122), (bird2, True, 0.37834975), (bird3, True, 0.87340939)]
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file easybird-0.0.3.tar.gz.
File metadata
- Download URL: easybird-0.0.3.tar.gz
- Upload date:
- Size: 3.7 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.8.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3db008b3e44f19dc51885a89c5338e02d622d2bd752e31c374ac6039868e97cf
|
|
| MD5 |
21cfc799477a0ee862d72823b7a3b82b
|
|
| BLAKE2b-256 |
2a49d64006ec20676615234cc51d1732f815f0ac1783fe534caa46ad9aef12f5
|
File details
Details for the file easybird-0.0.3-py3-none-any.whl.
File metadata
- Download URL: easybird-0.0.3-py3-none-any.whl
- Upload date:
- Size: 3.7 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.8.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fadc183e3deea245be81a34b97a09019b49390c6891893356fcde5250da9b759
|
|
| MD5 |
81476972c7e18889f7e118cea64fd386
|
|
| BLAKE2b-256 |
27cae0cc30869b74a449a572a43c0c364c99fae07221b4828ea43b6acafefd74
|