mirror of
https://github.com/facebookresearch/sam2.git
synced 2025-11-04 19:42:12 +08:00
65 lines
2.0 KiB
Docker
65 lines
2.0 KiB
Docker
ARG BASE_IMAGE=pytorch/pytorch:2.3.1-cuda12.1-cudnn8-runtime
|
|
ARG MODEL_SIZE=base_plus
|
|
|
|
FROM ${BASE_IMAGE}
|
|
|
|
# Gunicorn environment variables
|
|
ENV GUNICORN_WORKERS=1
|
|
ENV GUNICORN_THREADS=2
|
|
ENV GUNICORN_PORT=5000
|
|
|
|
# SAM 2 environment variables
|
|
ENV APP_ROOT=/opt/sam2
|
|
ENV PYTHONUNBUFFERED=1
|
|
ENV SAM2_BUILD_CUDA=0
|
|
ENV MODEL_SIZE=${MODEL_SIZE}
|
|
|
|
# Install system requirements
|
|
RUN apt-get update && apt-get install -y --no-install-recommends \
|
|
ffmpeg \
|
|
libavutil-dev \
|
|
libavcodec-dev \
|
|
libavformat-dev \
|
|
libswscale-dev \
|
|
pkg-config \
|
|
build-essential \
|
|
libffi-dev
|
|
|
|
COPY setup.py .
|
|
COPY README.md .
|
|
|
|
RUN pip install --upgrade pip setuptools
|
|
RUN pip install -e ".[interactive-demo]"
|
|
|
|
# https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite/issues/69#issuecomment-1826764707
|
|
RUN rm /opt/conda/bin/ffmpeg && ln -s /bin/ffmpeg /opt/conda/bin/ffmpeg
|
|
|
|
# Make app directory. This directory will host all files required for the
|
|
# backend and SAM 2 inference files.
|
|
RUN mkdir ${APP_ROOT}
|
|
|
|
# Copy backend server files
|
|
COPY demo/backend/server ${APP_ROOT}/server
|
|
|
|
# Copy SAM 2 inference files
|
|
COPY sam2 ${APP_ROOT}/server/sam2
|
|
|
|
# Download SAM 2.1 checkpoints
|
|
ADD https://dl.fbaipublicfiles.com/segment_anything_2/092824/sam2.1_hiera_tiny.pt ${APP_ROOT}/checkpoints/sam2.1_hiera_tiny.pt
|
|
ADD https://dl.fbaipublicfiles.com/segment_anything_2/092824/sam2.1_hiera_small.pt ${APP_ROOT}/checkpoints/sam2.1_hiera_small.pt
|
|
ADD https://dl.fbaipublicfiles.com/segment_anything_2/092824/sam2.1_hiera_base_plus.pt ${APP_ROOT}/checkpoints/sam2.1_hiera_base_plus.pt
|
|
ADD https://dl.fbaipublicfiles.com/segment_anything_2/092824/sam2.1_hiera_large.pt ${APP_ROOT}/checkpoints/sam2.1_hiera_large.pt
|
|
|
|
WORKDIR ${APP_ROOT}/server
|
|
|
|
# https://pythonspeed.com/articles/gunicorn-in-docker/
|
|
CMD gunicorn --worker-tmp-dir /dev/shm \
|
|
--worker-class gthread app:app \
|
|
--log-level info \
|
|
--access-logfile /dev/stdout \
|
|
--log-file /dev/stderr \
|
|
--workers ${GUNICORN_WORKERS} \
|
|
--threads ${GUNICORN_THREADS} \
|
|
--bind 0.0.0.0:${GUNICORN_PORT} \
|
|
--timeout 60
|