Dockerfile.darknet

# Multi-stage Dockerfile for Darknet (CPU-only)
# Compiles Darknet from Codeberg repository for object detection
# docker build -f Dockerfile.darknet --tag darknet-cpu:latest

# Build stage
FROM ubuntu:24.04 AS builder

# Prevent interactive prompts during package installation
ENV DEBIAN_FRONTEND=noninteractive

# Install build dependencies
# Ubuntu 24.04 ships with CMake 3.28+, which meets Darknet's requirements
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential \
    git \
    cmake \
    libopencv-dev \
    libopenblas-dev \
    ca-certificates \
    && rm -rf /var/lib/apt/lists/*

# Clone Darknet from Codeberg
WORKDIR /build
RUN git clone https://codeberg.org/CCodeRun/darknet.git darknet

# Build Darknet with CMake (CPU-only with OpenBLAS, optimized)
WORKDIR /build/darknet
RUN cmake -B build \
    -DCMAKE_BUILD_TYPE=Release \
    -DENABLE_CUDA=OFF \
    -DENABLE_CUDNN=OFF \
    -DENABLE_OPENBLAS=ON \
    -DCMAKE_INSTALL_PREFIX=/usr/local \
    && cmake --build build --parallel $(nproc) \
    && cmake --install build

# Runtime stage
FROM ubuntu:24.04

# Prevent interactive prompts
ENV DEBIAN_FRONTEND=noninteractive

# Install runtime dependencies (OpenCV + OpenBLAS libraries)
# Ubuntu 24.04 ships with OpenCV 4.6
# Install libopencv-dev to get all OpenCV runtime libraries
# Install libopenblas0 for optimized linear algebra operations
RUN apt-get update && apt-get install -y --no-install-recommends \
    libopencv-dev \
    libopenblas0 \
    ca-certificates \
    && rm -rf /var/lib/apt/lists/*

# Copy Darknet installation from builder
COPY --from=builder /usr/local/bin/darknet /usr/local/bin/darknet
COPY --from=builder /usr/local/lib/libdarknet* /usr/local/lib/
COPY --from=builder /usr/local/include/darknet*.h* /usr/local/include/
COPY --from=builder /opt/darknet/cfg /usr/local/share/darknet/cfg

# Copy example binaries from src-examples
COPY --from=builder /build/darknet/build/src-examples/darknet_* /usr/local/bin/

# Update library cache
RUN ldconfig

# Create non-root user for running darknet
RUN groupadd -r darknet && useradd -r -g darknet darknet

# Create workspace directory
RUN mkdir -p /workspace /weights /output && \
    chown -R darknet:darknet /workspace /weights /output

# Switch to non-root user
USER darknet

# Set working directory
WORKDIR /workspace

# Volume mounts for data
VOLUME ["/workspace", "/weights", "/output"]

# Default command shows help
ENTRYPOINT ["darknet"]
CMD ["--help"]

test-annotation.sh

#!/usr/bin/env zsh

MODEL_DIR=$(pwd)/models/r-people/people-r-people_2025-05-05

docker run --rm \
  -v $MODEL_DIR:/models:ro \
  -v $MODEL_DIR/sample_images:/input:ro \
  -v $(pwd)/output:/output \
  -w /output --entrypoint darknet_01_inference_images \
  darknet-cpu:latest \
  /models/people-r-people.cfg /models/people-r-people.weights /models/people-r-people.names /input/mcmurdo_station.jpg