image/fsd/Dockerfile

FROM nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04

ENV DEBIAN_FRONTEND=noninteractive
ENV PYTHONUNBUFFERED=1

WORKDIR /app

# System deps (using Python 3.10 from Ubuntu -- bypassing model_code's >=3.12 constraint)
RUN apt-get update && apt-get install -y --no-install-recommends \
    python3 python3-pip python3-dev \
    git wget \
    && rm -rf /var/lib/apt/lists/*

RUN ln -sf /usr/bin/python3 /usr/bin/python

RUN pip install --no-cache-dir --upgrade pip setuptools wheel

# Clone the FSD repo
RUN git clone https://github.com/ductai199x/Forensic-Self-Descriptions-CVPR25.git model_code

# Install PyTorch with CUDA 12.1 (replaces CPU-only install)
RUN pip install --no-cache-dir \
    torch==2.5.1 \
    --index-url https://download.pytorch.org/whl/cu121

# Install FSD inference dependencies manually
RUN pip install --no-cache-dir \
    "scipy>=1.10.0" \
    "pillow>=10.0.0" \
    pillow-heif \
    click \
    tqdm \
    "scikit-learn>=1.6.0"

# Install FSD package: bypass both deps AND python-requires check
# The model_code requires Python >=3.12 but works fine on 3.10
RUN pip install --no-deps --no-build-isolation -e ./model_code 2>/dev/null || \
    (cd model_code && pip install --no-deps -e . --config-settings="--build-option=--skip-requires-python") 2>/dev/null || \
    (cd model_code && python3 setup.py develop --no-deps 2>/dev/null) || \
    echo "FSD model_code install skipped -- will use direct imports"

# Install service-layer deps
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

COPY app.py .

RUN mkdir -p /app/weights
COPY weights/ /app/weights/

ENV MODEL_PORT=5005
ENV PRELOAD_MODEL=false
ENV MODEL_TIMEOUT=600
ENV WEIGHTS_DIR=/app/weights

EXPOSE 5005

RUN adduser --disabled-password --gecos '' appuser
USER appuser

CMD ["python", "app.py"]