creating dockerfile

Dockerfile

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+# Use Python 3.9 slim as the base image
+FROM python:3.9-slim
+
+# Set environment variables
+ENV PYTHONUNBUFFERED=1 \
+    DEBIAN_FRONTEND=noninteractive
+
+# 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
+
+# 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 /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", "main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "1"]