Files
lidar_rendu/Dockerfile
Jacquin Antoine f01683819c Interface web cartographique: COG + TiTiler + viewer MapLibre
- Ajout de convert_to_cog() et generate_cog_metadata() dans rendering.py
- Nouveau module viewer.py: génération HTML MapLibre GL JS avec couches et opacité
- Nouveau module server.py: serveur FastAPI avec TiTiler pour tuiles COG
- Pipeline: étapes 5 (COGs) et 6 (viewer web) après le rapport PDF
- CLI: flag --no-viewer pour désactiver la génération du viewer
- run.sh: commande 'serve' pour démarrer le serveur sur port 8000
- Dockerfile: ajout de rio-cogeo, titiler.core, fastapi, uvicorn, piexif
- setup.py: point d'entrée lidar-server

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-05-10 17:15:37 +02:00

66 lines
1.5 KiB
Docker

FROM nvidia/cuda:12.4.0-devel-ubuntu22.04
ENV DEBIAN_FRONTEND=noninteractive
ENV TZ=Europe/Paris
# Install PDAL and system packages
RUN apt-get update && apt-get install -y --no-install-recommends \
pdal \
liblaszip8 \
gdal-bin \
python3-gdal \
python3-pip \
python3-dev \
build-essential \
wget \
&& rm -rf /var/lib/apt/lists/*
WORKDIR /app
# Install Python packages via pip
COPY requirements.txt .
RUN pip3 install --no-cache-dir \
numpy \
matplotlib \
whitebox \
rasterio \
'laspy[lazrs]' \
lazrs \
scikit-image \
scikit-learn \
scipy \
tqdm \
Pillow \
pytest \
numba \
rio-cogeo \
titiler.core \
fastapi \
uvicorn \
piexif
# Install CuPy for GPU acceleration (optional - will fallback to numpy if not available)
RUN pip3 install --no-cache-dir cupy-cuda12x || echo "CuPy not available - GPU acceleration disabled"
# Copy and install the pipeline package
COPY setup.py .
COPY lidar_pipeline/ ./lidar_pipeline/
RUN pip3 install --no-cache-dir .
# Copy backward-compatible entry point
COPY process_lidar.py /usr/local/bin/
RUN chmod +x /usr/local/bin/process_lidar.py
# Create user with uid/gid 1000:1000 and run as that user
RUN groupadd -g 1000 lidar && \
useradd -u 1000 -g lidar -m lidar && \
mkdir -p /data/output /data/input && \
chown -R lidar:lidar /data /data/output /data/input
WORKDIR /data
USER lidar
VOLUME ["/data"]
CMD ["python3", "-m", "lidar_pipeline", "/data/input", "-o", "/data/output"]