{"repo":"UCSD-E4E/PyHa","free":true,"listed":false,"github":"https://github.com/UCSD-E4E/PyHa","clone":"git clone https://github.com/UCSD-E4E/PyHa.git","description":"A repo designed to convert audio-based \"weak\" labels to \"strong\" intraclip labels. Provides a pipeline to compare automated moment-to-moment labels to human labels. Methods range from DSP based foreground-background separation, cross-correlation based template matching, as well as bird presence sound event detection deep learning models!","language":"Jupyter Notebook","stars":23,"topics":["bird-audio-clips","moment-labels","human-labels","bioacoustics","automation","machine-learning","sound-processing","natural-language-processing","object-detection","sed"],"license":null,"category":"machine-learning","readme_excerpt":"PyHa A tool designed to convert audio-based \"weak\" labels to \"strong\" moment-to-moment labels. Provides a pipeline to compare automated moment-to-moment labels to human labels. Current proof of concept work being fulfilled on Bird Audio clips using Microfaune predictions. This package is being developed and maintained by the Engineers for Exploration Acoustic Species Identification Team in collaboration with the San Diego Zoo Wildlife Alliance. PyHa = Python + Piha (referring to a bird species of our interest known as the screaming-piha) Contents - Installation and Setup - Functions - Examples Installation and Setup 1. Navigate to a desired folder and clone the repository onto your local machine. git clone https://github.com/UCSD-E4E/PyHa.git - If you wish to reduce the size of the repository on your local machine you can alternatively use git clone https://github.com/UCSD-E4E/PyHa.git --depth 1 which will only install the most up-to-date version of the repo without its history. 2. Install Python 3.8, Python 3.9, or Python 3.10 3. Create a venv by running python3.x -m venv .venv where python3.x is the appropriate python. 4. Activate the venv with the following commands: - Windows: .venv\\Scripts\\activate - macOS/Linux: source .venv/bin/activate 5. Install the build tools: python -m pip install --upgrade pip poetry 6. Install the environment: poetry install 7. Here you can download the Xeno-canto Screaming Piha test set used in our demos: https://drive.google.com/drive/u/0/fold","default_branch":null,"files":null,"tree":[],"storefront":"/r/UCSD-E4E","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/UCSD-E4E/PyHa/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}