notariafacil-biometric (latest)

Published 2026-09-11 23:14:10 +02:00 by cris

Pull the image from the command line:

docker pull git.notariafacil.cl/cris/notariafacil-biometric:latest

Digest

sha256:f0038b84299a61b471406f398caef87de7dc6b966b189c683157409f0faa6388

For more information on the Container registry, see the documentation.

Image Layers

# debian.sh --arch 'amd64' out/ 'trixie' '@1785715200'

ENV PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin

ENV LANG=C.UTF-8

RUN /bin/sh -c set -eux; apt-get update; apt-get install -y --no-install-recommends ca-certificates netbase tzdata ; apt-get dist-clean # buildkit

ENV GPG_KEY=7169605F62C751356D054A26A821E680E5FA6305

ENV PYTHON_VERSION=3.12.14

ENV PYTHON_SHA256=5c8462af5790baf43a321a1559dbe0db06d1be4300fb85fb53c40060668e548a

RUN /bin/sh -c set -eux; savedAptMark="$(apt-mark showmanual)"; apt-get update; apt-get install -y --no-install-recommends dpkg-dev gcc gnupg libbluetooth-dev libbz2-dev libc6-dev libdb-dev libffi-dev libgdbm-dev liblzma-dev libncursesw5-dev libreadline-dev libsqlite3-dev libssl-dev make tk-dev uuid-dev wget xz-utils zlib1g-dev ; wget -O python.tar.xz "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz"; echo "$PYTHON_SHA256 *python.tar.xz" | sha256sum -c -; wget -O python.tar.xz.asc "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz.asc"; GNUPGHOME="$(mktemp -d)"; export GNUPGHOME; gpg --batch --keyserver hkps://keys.openpgp.org --recv-keys "$GPG_KEY"; gpg --batch --verify python.tar.xz.asc python.tar.xz; gpgconf --kill all; rm -rf "$GNUPGHOME" python.tar.xz.asc; mkdir -p /usr/src/python; tar --extract --directory /usr/src/python --strip-components=1 --file python.tar.xz; rm python.tar.xz; cd /usr/src/python; gnuArch="$(dpkg-architecture --query DEB_BUILD_GNU_TYPE)"; ./configure --build="$gnuArch" --enable-loadable-sqlite-extensions --enable-optimizations --enable-option-checking=fatal --enable-shared $(test "${gnuArch%%-*}" != 'riscv64' && echo '--with-lto') --with-ensurepip ; nproc="$(nproc)"; EXTRA_CFLAGS="$(dpkg-buildflags --get CFLAGS)"; LDFLAGS="$(dpkg-buildflags --get LDFLAGS)"; LDFLAGS="${LDFLAGS:-} -Wl,--strip-all"; arch="$(dpkg --print-architecture)"; arch="${arch##*-}"; case "$arch" in amd64|arm64) EXTRA_CFLAGS="${EXTRA_CFLAGS:-} -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer"; ;; i386) ;; *) EXTRA_CFLAGS="${EXTRA_CFLAGS:-} -fno-omit-frame-pointer"; ;; esac; make -j "$nproc" "EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" "LDFLAGS=${LDFLAGS:-}" ; rm python; make -j "$nproc" "EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" "LDFLAGS=${LDFLAGS:-} -Wl,-rpath='\$\$ORIGIN/../lib'" python ; make install; cd /; rm -rf /usr/src/python; find /usr/local -depth $ \( -type d -a \( -name test -o -name tests -o -name idle_test $ \) -o $ -type f -a \( -name '*.pyc' -o -name '*.pyo' -o -name 'libpython*.a' $ \) \) -exec rm -rf '{}' + ; ldconfig; apt-mark auto '.*' > /dev/null; apt-mark manual $savedAptMark; find /usr/local -type f -executable -not $ -name '*tkinter*' $ -exec ldd '{}' ';' | awk '/=>/ { so = $(NF-1); if (index(so, "/usr/local/") == 1) { next }; gsub("^/(usr/)?", "", so); printf "*%s\n", so }' | sort -u | xargs -rt dpkg-query --search | awk 'sub(":$", "", $1) { print $1 }' | sort -u | xargs -r apt-mark manual ; apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false; apt-get dist-clean; export PYTHONDONTWRITEBYTECODE=1; python3 --version; pip3 --version # buildkit

RUN /bin/sh -c set -eux; for src in idle3 pip3 pydoc3 python3 python3-config; do dst="$(echo "$src" | tr -d 3)"; [ -s "/usr/local/bin/$src" ]; [ ! -e "/usr/local/bin/$dst" ]; ln -svT "$src" "/usr/local/bin/$dst"; done # buildkit

CMD ["python3"]

ARG YUNET_URL=https://media.githubusercontent.com/media/opencv/opencv_zoo/main/models/face_detection_yunet/face_detection_yunet_2023mar.onnx

ARG YUNET_SHA256=8f2383e4dd3cfbb4553ea8718107fc0423210dc964f9f4280604804ed2552fa4

ARG SFACE_URL=https://media.githubusercontent.com/media/opencv/opencv_zoo/main/models/face_recognition_sface/face_recognition_sface_2021dec_int8bq.onnx

ARG SFACE_SHA256=fb143eea07838aa532d1c95df5f69899974ea0140e1fba05e94204be13ed74ee

WORKDIR /app

COPY file:3b170aa5be0ab97bb5cac9d08779765e24bb01a79d96bc8cf26b8692c65e43cd in ./

|4 SFACE_SHA256=fb143eea07838aa532d1c95df5f69899974ea0140e1fba05e94204be13ed74ee SFACE_URL=https://media.githubusercontent.com/media/opencv/opencv_zoo/main/models/face_recognition_sface/face_recognition_sface_2021dec_int8bq.onnx YUNET_SHA256=8f2383e4dd3cfbb4553ea8718107fc0423210dc964f9f4280604804ed2552fa4 YUNET_URL=https://media.githubusercontent.com/media/opencv/opencv_zoo/main/models/face_detection_yunet/face_detection_yunet_2023mar.onnx /bin/sh -c mkdir -p /models && curl --fail --location --retry 3 --retry-delay 2 "$YUNET_URL" -o /models/face_detection_yunet_2023mar.onnx && curl --fail --location --retry 3 --retry-delay 2 "$SFACE_URL" -o /models/face_recognition_sface_2021dec_int8bq.onnx && printf '%s %s\n' "$YUNET_SHA256" /models/face_detection_yunet_2023mar.onnx | sha256sum --check --strict && printf '%s %s\n' "$SFACE_SHA256" /models/face_recognition_sface_2021dec_int8bq.onnx | sha256sum --check --strict

COPY file:d763a7167856cccbd053c072461ba83dabb7a7ee01dd4f325e286aaf486cac32 in ./

ENV MODEL_DIR=/models

EXPOSE 8000

CMD ["uvicorn" "app:app" "--host" "0.0.0.0" "--port" "8000"]

Details

Container

2026-09-11 23:14:10 +02:00

OCI / Docker

linux/amd64

190 MiB

Versions (1) View all

latest

2026-09-11

notariafacil-biometric (latest)

Installation

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