Adapt for raspberry

.gitignore

@@ -63,3 +63,9 @@ target/
 .python-version
 
 .idea/
+
+# The ayes training model image
+ayes_model/train_files
+ayes_model/test_files
+ayes_model/venv
+ayes_model/encodings.json

Dockerfile.dev

@@ -0,0 +1,89 @@
+# Use a multi-architecture base image
+FROM python:3.10.3-slim
+
+RUN echo "Face recognition app dependencies - need to be reduced"
+# Set the architecture-specific dependencies
+RUN apt-get update && apt-get install -y --fix-missing \
+    build-essential \
+    cmake \
+    gfortran \
+    git \
+    wget \
+    curl \
+    graphicsmagick \
+    libgraphicsmagick1-dev \
+    libatlas-base-dev \
+    libavcodec-dev \
+    libavformat-dev \
+    libgtk2.0-dev \
+    libjpeg-dev \
+    liblapack-dev \
+    libswscale-dev \
+    pkg-config \
+    python3-dev \
+    python3-numpy \
+    software-properties-common \
+    zip      
+
+
+RUN echo "x11 server forwarding dependencies - need to scale up the containers architecture"
+RUN apt-get update && apt-get install -y --fix-missing \
+    libx11-dev \
+    libgtk-3-dev \
+    libboost-python-dev \
+    x11-apps \
+    xauth \
+    imagemagick
+
+RUN echo "The specific CPU $(uname -m)"
+# Additional dependencies for Raspberry Pi (ARM)
+RUN if [ '$(uname -m)' = "armv7l" ]; then \
+    echo "Installing ARM-specific dependencies"; \
+    apt-get update && apt-get install -y --fix-missing \
+        libopenblas-dev; \
+fi
+
+# Additional dependencies for x86 (Windows/Mac)
+RUN if [ '$(uname -m)' = "x86_64" ]; then \
+    echo "Installing x86_64-specific dependencies"; \
+    apt-get update && apt-get install -y --fix-missing \
+        libopenblas-dev; \
+fi
+
+
+
+
+# Install dlib
+RUN cd ~ && \
+    mkdir -p dlib && \
+    git clone -b 'v19.9' --single-branch https://github.com/davisking/dlib.git dlib/ && \
+    cd dlib/ && \
+    # Downgrade NumPy and upgrade pybind11 https://github.com/pybind/pybind11/issues/5009
+    pip install numpy==1.26.4 && \
+    pip install pybind11==2.12.0 && \
+    python3 setup.py install --yes USE_AVX_INSTRUCTIONS
+
+
+# Copy the face recognition app
+COPY . /face_recognition
+RUN cd face_recognition && \
+    pip3 install -r requirements.txt && \
+    python3 setup.py install
+
+
+WORKDIR /face_recognition
+
+RUN echo "Installing opencv"
+RUN pip3 install opencv-python==4.9.0.80
+
+RUN echo "Download the mqtt_client_ayes.py file"
+# Download the mqtt_client_ayes.py file
+RUN curl -o /face_recognition/ayes_model/mqtt_client_ayes.py https://raw.githubusercontent.com/AndreaCalabro-AYES/MQTT_Broker/main/mqtt_client_ayes.py
+
+RUN echo "Ensure the current directory is in the PYTHONPATH"
+# Ensure the current directory is in the PYTHONPATH
+ENV PYTHONPATH "${PYTHONPATH}:/face_recognition/ayes_model"
+
+
+
+

Dockerfile.gpu

@@ -1,7 +1,7 @@
 # This is a sample Dockerfile you can modify to deploy your own app based on face_recognition on the GPU
 # In order to run Docker in the GPU you will need to install Nvidia-Docker: https://github.com/NVIDIA/nvidia-docker
 
-FROM nvidia/cuda:9.0-cudnn7-devel
+FROM nvidia/cuda:12.4.1-runtime-rockylinux9
 
 # Install face recognition dependencies
 

Dockerfile.rasp

@@ -0,0 +1,79 @@
+# Use the official Python image for ARM
+FROM arm32v7/python:3.10-slim-bullseye
+
+# Install build essentials and tools
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    build-essential \
+    cmake \
+    gfortran \
+    gcc \
+    python3 \
+    python3-dev \
+    musl-dev \
+    git \
+    wget \
+    curl \
+    software-properties-common \
+    zip \
+    graphicsmagick \
+    libgraphicsmagick1-dev \
+    libatlas-base-dev \
+    libavcodec-dev \
+    libavformat-dev \
+    libgtk2.0-dev \
+    libjpeg-dev \
+    liblapack-dev \
+    libswscale-dev \
+    pkg-config \
+    v4l-utils \
+    ffmpeg \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install OpenBLAS
+RUN apt-get update && apt-get install -y libopenblas-dev && rm -rf /var/lib/apt/lists/*
+
+# Install OpenSSL development package
+RUN apt-get update && apt-get install -y libssl-dev && rm -rf /var/lib/apt/lists/*
+
+# Set environment variables for OpenBLAS
+ENV LD_LIBRARY_PATH=/usr/lib/openblas:$LD_LIBRARY_PATH
+ENV OPENBLAS_NUM_THREADS=1
+
+# Install numpy and pybind11
+RUN pip install numpy==1.26.4 pybind11==2.12.0
+
+# Clone dlib repository
+RUN cd /root && git clone -b 'v19.22' --single-branch https://github.com/davisking/dlib.git dlib
+
+# Install dlib dependencies
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    python3-dev \
+    && rm -rf /var/lib/apt/lists/*
+
+# Build and install dlib
+RUN cd /root/dlib && python3 setup.py install
+
+# Set working directory
+WORKDIR /root/face_recognition
+
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY setup.py .
+COPY setup.cfg .
+COPY pyproject.toml .
+COPY README.rst .
+COPY HISTORY.rst .
+COPY face_recognition/ .
+COPY . .
+RUN pip install --no-cache-dir .
+
+RUN pip install --no-cache-dir opencv-python==4.9.0.80
+
+# Import files
+COPY mm_application/ ./mm_application/
+RUN curl -o /root/face_recognition/mm_application/mqtt_client_ayes.py https://raw.githubusercontent.com/AndreaCalabro-AYES/MQTT_Broker/main/mqtt_client_ayes.py
+
+# Ensure the current directory is in the PYTHONPATH
+ENV PYTHONPATH "${PYTHONPATH}:/root/face_recognition/mm_application"
+