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Implement embedding extraction for LargeRecordingAnalyzer #218

Implement embedding extraction for LargeRecordingAnalyzer

Implement embedding extraction for LargeRecordingAnalyzer #218

Workflow file for this run

name: Test
on:
push:
branches: ["main"]
pull_request:
branches: ["main"]
permissions:
contents: read
jobs:
build:
runs-on: ubuntu-latest
strategy:
matrix:
# python-version: ["3.9", "3.10", "3.11"]
python-version: ["3.9"]
steps:
- uses: actions/checkout@v3
with:
submodules: "recursive"
- name: submodules recursively
run: git submodule foreach git pull origin main --depth 9999
- name: Setup FFmpeg
uses: FedericoCarboni/setup-ffmpeg@v2
- name: Install libsndfile
run: sudo apt-get install -y libsndfile1
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install tensorflow librosa soundfile pytest mock resampy
pip install .
# if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
- name: Test with pytest
run: |
git -C tests/BirdNET-Analyzer checkout 98945574c68102ccfac6c3504fcc63e64ed6f9e3
pytest -m "not omit_during_ghactions" --maxfail=1