Dockerfile

# Use Python 3.9 slim as the base image
FROM python:3.9-slim

# Set environment variables
ENV PYTHONUNBUFFERED=1 \
    DEBIAN_FRONTEND=noninteractive \
    MPLCONFIGDIR=/tmp/.matplotlib \
    XDG_CACHE_HOME=/tmp/.cache

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    git \
    wget \
    build-essential \
    python3-dev \
    cmake \
    libopencv-dev \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender1 \
    && apt-get clean && rm -rf /var/lib/apt/lists/*

# Set the working directory
WORKDIR /app

# Install PyTorch CPU version
RUN pip3 install --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu

# Install Python dependencies
RUN pip3 install --no-cache-dir \
    numpy \
    pyyaml \
    fastapi \
    uvicorn \
    python-multipart \
    opencv-python-headless \
    scipy \
    pillow \
    matplotlib==3.9.0

RUN pip3 install --no-cache-dir "omegaconf>=2.4.0.dev2"

Run pip3 install --no-cache-dir "hydra-core==1.1.0"

# Clone and install Detectron2
RUN git clone https://github.com/facebookresearch/detectron2.git && \
    cd detectron2 && \
    python setup.py build develop && \
    cd .. && rm -rf detectron2/.git

# Copy application files
COPY ./app.py /app
COPY ./mask_rcnn_config.yaml /app/
COPY ./model_final.pth /app/

# Create directory for uploads
RUN mkdir -p /app/uploads && chmod -R 777 /app/uploads

# Expose the application port
EXPOSE 8000

# Set the command to run the FastAPI server
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]