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feat: add initial Dockerfile
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mgoltzsche committed Dec 10, 2023
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53 changes: 53 additions & 0 deletions .github/workflows/workflow.yml
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name: Build and release

on:
push:
branches:
- main
pull_request:
branches:
- main

concurrency: # Run release builds sequentially, cancel outdated PR builds
group: ci-${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}

jobs:
build:
name: Build
runs-on: ubuntu-latest

permissions: # Grant write access to github.token within non-pull_request builds
contents: write
id-token: write

steps:
- name: Check out code
uses: actions/checkout@v3
with:
fetch-depth: 0
persist-credentials: false

- id: release
name: Prepare release
uses: mgoltzsche/conventional-release@v0

- name: Set up qemu
uses: docker/setup-qemu-action@v3
with:
platforms: all

- name: Build
if: '!steps.release.outputs.publish' # during non-release build
run: |
make build-release
- name: Log into GitHub Container Registry
if: steps.release.outputs.publish # during release build
run: echo "${{ github.token }}" | docker login ghcr.io -u ${{ github.actor }} --password-stdin

- name: Publish release
if: steps.release.outputs.publish # during release build
run: |
make release VERSION=$RELEASE_VERSION
60 changes: 60 additions & 0 deletions Dockerfile
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# Build build base image
FROM python:3-alpine3.19 AS buildbase
RUN apk add --update --no-cache git g++ pkgconf musl-dev qtchooser qt5-qtbase-dev eigen-dev yaml-dev

# Build Gaia
FROM buildbase AS gaia
RUN apk add --update --no-cache swig
# Gaia 2.4.6 + patches from master (python 3 support) from 2022
ARG GAIA_VERSION=0d0942bf4748b40069977702715454ae084063c9
RUN set -eux; \
git clone -q https://github.com/MTG/gaia.git /gaia-src; \
cd /gaia-src; \
git checkout $GAIA_VERSION
WORKDIR /gaia-src
RUN set -eux; \
[ ! `uname -m` = aarch64 ] || sed -i '/sse2/d' wscript; \
./waf configure; \
./waf; \
./waf install --destdir /gaia

# Build essentia library and example extractors
FROM buildbase AS essentia
RUN apk add --update --no-cache fftw-dev ffmpeg4-dev libsamplerate-dev taglib-dev chromaprint-dev
COPY --from=gaia /gaia /
#ARG ESSENTIA_VERSION=v2.1_beta5
#RUN git clone -q --branch $ESSENTIA_VERSION --depth=1 https://github.com/MTG/essentia.git /essentia-src
ARG ESSENTIA_VERSION=95c996e312ad6de0530bc43772ee1677d9e738c7
RUN set -eux; \
git clone -q https://github.com/MTG/essentia.git /essentia-src; \
cd /essentia-src; \
git checkout $ESSENTIA_VERSION
WORKDIR /essentia-src
RUN set -eux; \
./waf configure --build-static --with-gaia --with-examples; \
./waf; \
./waf install --destdir /essentia

# Download SVM models
FROM alpine:3.19 AS models
ARG ESSENTIA_MODEL_VERSION=v2.1_beta5
RUN set -eux; \
mkdir -p /tmp/svm-models; \
wget -qO - https://essentia.upf.edu/svm_models/essentia-extractor-svm_models-${ESSENTIA_MODEL_VERSION}.tar.gz | tar -C /tmp/svm-models -xzf -; \
mv /tmp/svm-models/essentia-extractor-svm_models-$ESSENTIA_MODEL_VERSION /svm-models

# Build container image without build dependencies
FROM alpine:3.19 AS final
RUN apk add --update --no-cache qt5-qtbase yaml fftw taglib libsamplerate \
ffmpeg4 ffmpeg4-libavcodec ffmpeg4-libavformat ffmpeg4-libavutil \
ffmpeg4-libswresample \
chromaprint
COPY --from=essentia /essentia /
COPY --from=models /svm-models /var/lib/essentia/svm-models/beta5
COPY profile.yaml /etc/essentia/

# Verify that all libraries are linked without adding another image layer
FROM final
RUN ldd /usr/local/bin/essentia_streaming_extractor_music

FROM final
201 changes: 201 additions & 0 deletions LICENSE
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28 changes: 28 additions & 0 deletions Makefile
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IMAGE ?= ghcr.io/mgoltzsche/essentia
VERSION ?= dev
PLATFORMS ?= linux/arm64/v8,linux/amd64

BUILDER := essentia-builder
BUILD_OPTS :=

all: build

.PHONY: build
build:
docker build --force-rm -t $(IMAGE):$(VERSION) .

build-release: create-builder
docker buildx build --builder=$(BUILDER) --platform=$(PLATFORMS) $(BUILD_OPTS) --force-rm -t $(IMAGE):$(VERSION) -t $(IMAGE):latest .

create-builder:
docker buildx inspect --name=$(BUILDER) >/dev/null 2<&1 || docker buildx create --name=$(BUILDER) >/dev/null

delete-builder:
docker buildx rm --name=$(BUILDER)

release: BUILD_OPTS=--push
release: build-release

enable-qemu:
docker run --rm --privileged multiarch/qemu-user-static:7.2.0-1 --reset -p yes

31 changes: 31 additions & 0 deletions README.md
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# essentia-container

An alpine-based [Essentia](https://essentia.upf.edu/) extractor docker container image.

Essentia extractors allow to extract low and high level musical information from audio data (e.g. `average_loudness`, `bpm`, `danceability`, `electronic`).
Some of the extracted fields and detection accurracies are described [here](https://essentia.upf.edu/svm_models/accuracies_v2.1_beta1.html) (for an older version, though).

Differences compared to the [official pre-built binaries](https://essentia.upf.edu/extractors/) and [container](https://github.com/MTG/essentia-docker) (as of 2023):
* The binaries are compiled with [Gaia](https://github.com/MTG/gaia).
* Contains the [SVM models](https://essentia.upf.edu/svm_models/) and a corresponding [example profile](./profile.yaml).
* Uses Alpine Linux base image instead of Debian.
* Multi-arch image that works on both amd64 and arm64 Linux machines.

## Usage

The following example shows how to download an audio file, analyze it using [`essentia_streaming_extractor_music`](https://essentia.upf.edu/streaming_extractor_music.html) and print the result JSON:
```sh
docker run --rm ghcr.io/mgoltzsche/essentia sh -euxc '
URL=https://file-examples.com/storage/febcc861de6574e979a4c35/2017/11/file_example_OOG_2MG.ogg
wget -qO input.ogg $URL
essentia_streaming_extractor_music input.ogg - /etc/essentia/profile.yaml'
```

For more information, see the [Essentia Extractor documentation](https://essentia.upf.edu/extractors_out_of_box.html#extractors).

## Credits

Essentia is an open-source C++ library with Python bindings for audio analysis and audio-based music information retrieval.
It is released under the Affero GPLv3 license and is also available under proprietary license upon request.
This project is just a redistribution of the library, its extractor CLIs as well as its SVM models as a Linux container image.
[Learn more about the Essentia project](http://essentia.upf.edu)
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