ad762e682d
- Suppression de generate_solar (éclairage solaire) des visualisations - Accélération GPU de hillshade, slope, aspect, curvature, depressions, anomalies, roughness, texture GLCM, flow (sink filling) - Nettoyage mémoire GPU entre visualisations (gpu_cleanup) - Correction OOM texture GLCM: calcul entropie bin par bin au lieu d'un tableau 3D massif sur GPU - Correction bug: xp_minimum_filter manquant dans imports visualizations - Option --file accepte plusieurs noms complets sans extension - run.sh affiche l'aide si appelé sans arguments - Option --test pour exécuter les tests unitaires dans Docker - Filtre ReturnNumber>=1 intégré dans le pipeline PDAL (plus d'erreur SMRF) - 60 tests unitaires: GPU, visualisations, rendering, DTM, pipeline, CLI - Ajout pytest au Dockerfile Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
58 lines
1.4 KiB
Docker
58 lines
1.4 KiB
Docker
FROM nvidia/cuda:12.4.0-devel-ubuntu22.04
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ENV DEBIAN_FRONTEND=noninteractive
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ENV TZ=Europe/Paris
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# Install PDAL and system packages
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RUN apt-get update && apt-get install -y --no-install-recommends \
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pdal \
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gdal-bin \
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python3-gdal \
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python3-pip \
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python3-dev \
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build-essential \
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wget \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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# Install Python packages via pip
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COPY requirements.txt .
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RUN pip3 install --no-cache-dir \
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numpy \
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matplotlib \
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whitebox \
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rasterio \
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'laspy[laspy]' \
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scikit-image \
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scikit-learn \
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scipy \
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tqdm \
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Pillow \
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pytest
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# Install CuPy for GPU acceleration (optional - will fallback to numpy if not available)
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RUN pip3 install --no-cache-dir cupy-cuda12x || echo "CuPy not available - GPU acceleration disabled"
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# Copy and install the pipeline package
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COPY setup.py .
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COPY lidar_pipeline/ ./lidar_pipeline/
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RUN pip3 install --no-cache-dir .
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# Copy backward-compatible entry point
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COPY process_lidar.py /usr/local/bin/
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RUN chmod +x /usr/local/bin/process_lidar.py
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# Create user with uid/gid 1000:1000 and run as that user
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RUN groupadd -g 1000 lidar && \
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useradd -u 1000 -g lidar -m lidar && \
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mkdir -p /data/output /data/input && \
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chown -R lidar:lidar /data /data/output /data/input
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WORKDIR /data
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USER lidar
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VOLUME ["/data"]
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CMD ["python3", "-m", "lidar_pipeline", "/data/input", "-o", "/data/output"] |