Files
lidar_rendu/Dockerfile
Antoine Jacquin 4848f25326 Upgrade colormaps to Crameri scientific palette and fix IGN location map
- Replace RdBu_r with Crameri roma for all 6 relief-family colormaps
  (curvature, mslrm, lrm, tpi, sailore, aniso_open): perceptually
  uniform, CVD-friendly, dark center makes near-zero values visible
- Replace hsv with twilight for aspect: perceptually uniform cyclic
  colormap with no hue discontinuity
- Add cmcrameri dependency (falls back to RdBu_r if unavailable)
- Fix IGN location map: pass min_zoom=8 to download_ign_tiles so zoom
  10 context maps work (was hardcoded to min_zoom=15, blocking the
  loop entirely for zoom_level=10)
- Expand location map context from 3x extent to 80km fixed radius for
  better regional context at zoom 10
- Remove dead code: flow colormap entry, _nice_scale dead loop,
  aspect='auto' in location map imshow, outdated PDF report order list
- Fix SVF docstring: 8 directions → 16 directions
2026-05-15 11:50:15 +02:00

72 lines
1.9 KiB
Docker

FROM nvidia/cuda:12.4.0-devel-ubuntu22.04
ENV DEBIAN_FRONTEND=noninteractive
ENV TZ=Europe/Paris
# Install system packages + Miniforge for PDAL >= 2.5 (Ubuntu 22.04 ships PDAL 2.3 which can't read COPC v1.1)
RUN apt-get update && apt-get install -y --no-install-recommends \
gdal-bin \
python3-gdal \
python3-pip \
python3-dev \
build-essential \
wget \
&& rm -rf /var/lib/apt/lists/* \
&& wget -q https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-x86_64.sh -O /tmp/miniforge.sh \
&& bash /tmp/miniforge.sh -b -p /opt/conda \
&& rm /tmp/miniforge.sh \
&& /opt/conda/bin/conda install -y -c conda-forge pdal \
&& ln -sf /opt/conda/bin/pdal /usr/local/bin/pdal \
&& /opt/conda/bin/conda clean -afy
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 \
pillow-avif-plugin \
cmcrameri
# 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"]