model-product-vision/Dockerfile at main · coozyme/model-product-vision · GitHub

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# =============================================================================
# YOLOv8 Product Detection - Docker Image
# =============================================================================
# Production-ready container for training and inference
#
# Build:
#   docker build -t yolov8-product-detection .
#
# Run training:
#   docker run --gpus all -v $(pwd)/data:/app/data \
#       -v $(pwd)/runs:/app/runs \
#       yolov8-product-detection python src/train.py
#
# Run inference:
#   docker run --gpus all -v $(pwd)/images:/app/images \
#       -v $(pwd)/output:/app/output \
#       yolov8-product-detection python src/inference.py --source /app/images
#
# =============================================================================

# -----------------------------------------------------------------------------
# Base Image - CUDA-enabled Python
# -----------------------------------------------------------------------------
FROM python:3.10-slim AS base

# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    PYTHONPATH=/app \
    PIP_NO_CACHE_DIR=1 \
    PIP_DISABLE_PIP_VERSION_CHECK=1

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    libgl1-mesa-glx \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libgomp1 \
    wget \
    curl \
    git \
    && rm -rf /var/lib/apt/lists/*

# -----------------------------------------------------------------------------
# Builder Stage - Install Python dependencies
# -----------------------------------------------------------------------------
FROM base AS builder

WORKDIR /app

# Copy requirements first for caching
COPY requirements.txt .

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

# Download YOLOv8 pretrained weights
RUN python -c "from ultralytics import YOLO; YOLO('yolov8n.pt')"


# -----------------------------------------------------------------------------
# Production Image
# -----------------------------------------------------------------------------
FROM base AS production

WORKDIR /app

# Copy installed packages from builder
COPY --from=builder /usr/local/lib/python3.10/site-packages /usr/local/lib/python3.10/site-packages
COPY --from=builder /usr/local/bin /usr/local/bin

# Copy pretrained weights
COPY --from=builder /root/.cache/torch /root/.cache/torch

# Copy application code
COPY . .

# Create necessary directories
RUN mkdir -p data runs output logs

# Set default command
CMD ["python", "-c", "print('YOLOv8 Product Detection Container Ready!')"]


# -----------------------------------------------------------------------------
# GPU-enabled Image (requires NVIDIA Container Toolkit)
# -----------------------------------------------------------------------------
FROM nvidia/cuda:11.8-cudnn8-runtime-ubuntu22.04 AS gpu

# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    PYTHONPATH=/app \
    PIP_NO_CACHE_DIR=1 \
    PIP_DISABLE_PIP_VERSION_CHECK=1 \
    DEBIAN_FRONTEND=noninteractive

# Install Python and system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    python3.10 \
    python3-pip \
    python3.10-dev \
    libgl1-mesa-glx \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libgomp1 \
    wget \
    curl \
    git \
    && rm -rf /var/lib/apt/lists/* \
    && ln -sf /usr/bin/python3.10 /usr/bin/python \
    && ln -sf /usr/bin/pip3 /usr/bin/pip

WORKDIR /app

# Copy requirements
COPY requirements.txt .

# Install Python dependencies
RUN pip install --no-cache-dir --upgrade pip \
    && pip install --no-cache-dir -r requirements.txt

# Download YOLOv8 pretrained weights
RUN python -c "from ultralytics import YOLO; YOLO('yolov8n.pt')"

# Copy application code
COPY . .

# Create necessary directories
RUN mkdir -p data runs output logs

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
    CMD python -c "from ultralytics import YOLO; print('OK')" || exit 1

# Default command
CMD ["python", "-c", "print('YOLOv8 Product Detection GPU Container Ready!')"]


# -----------------------------------------------------------------------------
# Development Image
# -----------------------------------------------------------------------------
FROM production AS development

# Install dev dependencies
RUN pip install --no-cache-dir \
    pytest \
    pytest-cov \
    black \
    flake8 \
    isort \
    mypy \
    jupyter \
    jupyterlab

# Expose Jupyter port
EXPOSE 8888

# Default command for development
CMD ["jupyter", "lab", "--ip=0.0.0.0", "--port=8888", "--allow-root", "--no-browser"]