1movmedia

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video-classification (main-cuda-13.0)

Published 2026-10-14 13:17:21 +00:00 by mikhail

Installation

Pull the image from the command line:

docker pull gt.uo1.net/1movmedia/video-classification:main-cuda-13.0

Digest

sha256:dbc40d956a1e040426ecf4f0ea7368a919e900ec1ae16b990ac604cdc01bfbef

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

Image Layers

# debian.sh --arch 'amd64' out/ 'bookworm' '@1791158400'

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

RUN /bin/sh -c set -eux; apt-get update; apt-get install -y --no-install-recommends ca-certificates netbase tzdata ; rm -rf /var/lib/apt/lists/* # buildkit

ENV GPG_KEY=7169605F62C751356D054A26A821E680E5FA6305

ENV PYTHON_VERSION=3.13.16

ENV PYTHON_SHA256=f4b1bfb3c79b5bb11b8d228a12504163b4c0dab4d679828d8f5f26b6cb6ab35d

RUN /bin/sh -c set -eux; savedAptMark="$(apt-mark showmanual)"; apt-get update; apt-get install -y --no-install-recommends dpkg-dev g++ gcc gnupg libbluetooth-dev libbz2-dev libc6-dev libdb-dev libffi-dev libgdbm-dev liblzma-dev libncursesw5-dev libreadline-dev libsqlite3-dev libssl-dev make tk-dev uuid-dev wget xz-utils zlib1g-dev ; wget -O python.tar.xz "https://www.python.org/ftp/python/${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; rm -rf /var/lib/apt/lists/*; 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 TORCH_INDEX_URL=https://download.pytorch.org/whl/cu130

ENV PYTHONDONTWRITEBYTECODE=1 PYTHONUNBUFFERED=1 WORKSPACE=/workspace BULK_STORAGE=/workspace/bulk GRADIO_TEMP_DIR=/workspace/gradio/uploads GRADIO_ANALYTICS_ENABLED=False HF_HUB_OFFLINE=1 TRANSFORMERS_OFFLINE=1 HF_HOME=/workspace/huggingface XDG_CACHE_HOME=/workspace/cache OMP_NUM_THREADS=2 MKL_NUM_THREADS=2

WORKDIR /app

RUN |1 TORCH_INDEX_URL=https://download.pytorch.org/whl/cu130 /bin/sh -c apt-get update && apt-get install --no-install-recommends -y ffmpeg ca-certificates && rm -rf /var/lib/apt/lists/* # buildkit

COPY requirements.txt requirements-ui.txt ./ # buildkit

RUN |1 TORCH_INDEX_URL=https://download.pytorch.org/whl/cu130 /bin/sh -c python -m pip install --no-cache-dir -c requirements.txt --index-url "$TORCH_INDEX_URL" --extra-index-url https://pypi.org/simple torch==2.14.1 torchvision==0.29.1 && python -m pip install --no-cache-dir -r requirements-ui.txt numpy==2.5.4 python-dotenv==1.2.4 pillow==12.3.0 && python -m pip check # buildkit

ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility,video

COPY video_classification/ ./video_classification/ # buildkit

COPY models/siglip2-so400m-category-ensemble/ ./models/siglip2-so400m-category-ensemble/ # buildkit

COPY models/encoders/siglip2-so400m-patch14-384-8f8fd50/ ./models/encoders/siglip2-so400m-patch14-384-8f8fd50/ # buildkit

COPY models/encoders/LICENSE-APACHE-2.0.txt models/encoders/provenance.json ./models/encoders/ # buildkit

RUN |1 TORCH_INDEX_URL=https://download.pytorch.org/whl/cu130 /bin/sh -c python -c "from video_classification.classifier import CachedClassifier; from video_classification.gradio_app import DEFAULT_BUNDLE; from video_classification.video_inference import VideoPredictor, file_sha256; p = VideoPredictor(CachedClassifier(DEFAULT_BUNDLE), device='cuda'); assert all(file_sha256(p.model_dir / name) == digest for name, digest in p.profile['files'].items()), 'Encoder hash mismatch: run git lfs pull before building'" # buildkit

RUN |1 TORCH_INDEX_URL=https://download.pytorch.org/whl/cu130 /bin/sh -c mkdir -p /workspace # buildkit

EXPOSE [7860/tcp]

HEALTHCHECK {Test:[CMD-SHELL python -c "import urllib.request; urllib.request.urlopen('http://127.0.0.1:7860/', timeout=4)" || exit 1] Interval:30s Timeout:5s StartPeriod:1m0s StartInterval:0s Retries:0}

ENTRYPOINT ["python" "-m" "video_classification.gradio_app"]

CMD ["--host" "0.0.0.0" "--port" "7860" "--device" "cuda"]

Labels

Key	Value
org.opencontainers.image.revision	8b5ab2b2ea2aba232620d55b6d5cd7a644e9a220
org.opencontainers.image.source	https://gt.uo1.net/1movmedia/video-classification

Details

Container

2026-10-14 13:17:21 +00:00

2

OCI / Docker

linux/amd64

Repository Site

7.1 GiB

Versions (1) View all

main-cuda-13.0 2026-10-14