Dockerfile

FROM python:3.9-slim

WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y \
    build-essential \
    git \
    libgl1 \
    libglib2.0-0 \
    && rm -rf /var/lib/apt/lists/*

# Copy requirements file
COPY requirements.txt .

# 1. Install PyTorch first (required by Detectron2)
# Using an older version for compatibility with SAM 3D Body model
RUN pip install --no-cache-dir torch==1.13.1 torchvision==0.14.1

# 2. Install Python dependencies from requirements.txt
RUN pip install --no-cache-dir -r requirements.txt

# 3. Install Detectron2 (after PyTorch is installed)
RUN pip install --no-cache-dir 'git+https://github.com/facebookresearch/detectron2.git@a1ce2f9' --no-build-isolation --no-deps

# 4. Install MoGe
RUN pip install --no-cache-dir git+https://github.com/microsoft/MoGe.git

# 5. Clone SAM 3D Body repository (not a standard Python package)
RUN git clone https://github.com/facebookresearch/sam-3d-body.git /app/sam-3d-body

# Copy application code
COPY app/ ./app/

# Create required directories
RUN mkdir -p outputs temp

# Set environment variables
ENV PORT=7860
ENV PYTHONUNBUFFERED=1

# Expose the port
EXPOSE 7860

# Change the working directory to ensure imports work correctly
WORKDIR /app

# Start the application with the correct module path
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]