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Retrieval-based-Voice-Conve…/.github/workflows/unitest.yml
Alex Murkoff 1e22d468ea feat(audio): use PyAV instead of ffmpeg (#31)
* feat(audio): use PyAV instead of ffmpeg

replaced usage of ffmpeg in favor of PyAV (`av`)

* refactor(audio): store all of the audio related functions in the `infer.lib.audio`

refactors previous commit to have singular functions for each task, all located in `infer.lib.audio`

* fix(audio): remove downsample_audio from mdxnet.py

it is no longer needed, since it's imported from infer.lib.audio

* docs: remove every ffmpeg mention in the documentation to avoid confusion

* chore(requirements): remove ffmpeg-python and ffmpy from all requirements

* fix(audio): fix loading for UVR

wrapped gathering of META info from the stream into a function

fixes loading for UVR

* fix(audio): use np.frombuffer() instead of direct conversion of the resampled frames

this fixes traceback on preprocessing

* feat(audio): pre-allocate decoded_audio array in the load_audio function

this should improve performance, even if just a little

* Revert "docs: remove every ffmpeg mention in the documentation to avoid confusion"

This reverts commit 1e05bbce03.

* chore(format): run black on dev

* fix(requirements): revert removal of ffmpeg in unitest.yml and Dockerfile

* Revert "fix(requirements): revert removal of ffmpeg in unitest.yml and Dockerfile"

This reverts commit e28a0eebb2.

* feat(audio): pre-allocate numpy array to store the AudioFrame data in ndarray of dtype float32

* chore(format): run black on dev

* fix(audio): fix the decoded_audio size estimation

in estimated_total_samples we multiply by `sr` instead of `container.streams.audio[0].rate` since we want to estimate size of the OUTPUT file, not the input one. - Added dynamic resizing, in case something goes wrong and the size of decoded_audio is estimated incorrectly

Fixed function `load_audio` when the input audio's samplerate does not match the desired samplerate (`sr`)

* chore(format): run black on dev

* refactor(audio): remove `clean_path()` function as it serves no purpose anymore

* docs: remove everything related to ffmpeg

this includes everything except for formats support specification in the training_tips docs, since it has nothing to do with what ffmpeg does/did but rather what audio formats are supported (all the ones that ffmpeg supports!)

* docs: fix order of the steps in preparation in the READMEs

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Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
2024-06-12 20:13:26 +09:00

37 lines
1.3 KiB
YAML

name: Unit Test
on: [ push, pull_request ]
jobs:
build:
runs-on: ${{ matrix.os }}
strategy:
matrix:
python-version: ["3.8", "3.9", "3.10"]
os: [ubuntu-latest]
fail-fast: true
steps:
- uses: actions/checkout@master
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
sudo apt update
wget https://github.com/fumiama/RVC-Models-Downloader/releases/download/v0.2.3/rvcmd_linux_amd64.deb
sudo apt -y install ./rvcmd_linux_amd64.deb
python -m pip install --upgrade pip
python -m pip install --upgrade setuptools
python -m pip install --upgrade wheel
pip install torch torchvision torchaudio
pip install -r requirements/main.txt
rvcmd -notrs -w 1 -notui assets/all
- name: Test step 1 & 2
run: |
mkdir -p logs/mi-test
touch logs/mi-test/preprocess.log
python infer/modules/train/preprocess.py logs/mute/0_gt_wavs 48000 8 logs/mi-test True 3.7
touch logs/mi-test/extract_f0_feature.log
python infer/modules/train/extract/extract_f0_print.py logs/mi-test $(nproc) pm
python infer/modules/train/extract_feature_print.py cpu 1 0 0 logs/mi-test v1 True