54800cb516
- Accélération GPU via CuPy pour SVF, Openness, LRM, MSRM, SAILORE, TPI, wavelet - Fallback automatique vers numpy si GPU non disponible - Sortie WebP sans perte (remplace PNG, fichiers plus petits) - Script run.sh avec options -g (GPU), -w (workers), -r (résolution) - Docker basé sur nvidia/cuda:12.4.0-devel pour support CuPy - Docker tourne en uid/gid 1000:1000 - Légendes explicites différenciant LRM vs MSRM vs SAILORE - Correction bug ordre elif (mslrm avant lrm) - Retrait de geomorphons et VAT (demande utilisateur) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
49 lines
1.2 KiB
Docker
49 lines
1.2 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 /data
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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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# 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 scripts
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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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USER lidar
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VOLUME ["/data"]
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CMD ["python3", "/usr/local/bin/process_lidar.py", "/data/input", "-o", "/data/output"] |