-
Notifications
You must be signed in to change notification settings - Fork 1.2k
/
backend.Dockerfile
64 lines (51 loc) · 2.02 KB
/
backend.Dockerfile
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
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