diff --git a/Dockerfile b/Dockerfile
index 0861108..137b1ce 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -21,29 +21,9 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 
 WORKDIR /app
 
-# Install Python packages via pip
+# Install Python packages via pip (liste unique : requirements.txt)
 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
+RUN pip3 install --no-cache-dir -r requirements.txt
 
 # CuPy on CUDA 12.9 with JIT compilation (CUPY_CUDA_COMPILE_WITH_CACHE=1).
 # JIT allows CuPy to compile kernels at runtime for GPU architectures not in
diff --git a/requirements.txt b/requirements.txt
index 4dfe653..bb926e8 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,10 +1,22 @@
-pdal>=3.0
+# Dépendances Python de l'image complète (Dockerfile) — installées via
+# `pip install --no-cache-dir -r requirements.txt`.
+# PDAL n'est PAS installé par pip : binaire conda (cf. Dockerfile), invoqué
+# en ligne de commande. L'image webapp légère (Dockerfile.webapp) a sa propre
+# liste minimale (fastapi, uvicorn, Pillow, pyproj).
+# CuPy est installé séparément (cupy-cuda12x) selon la cible CUDA.
 numpy>=1.24
+scipy>=1.10
 matplotlib>=3.7
-whitebox>=2.0
 rasterio>=1.3
 laspy[lazrs]>=2.5
-scikit-image>=0.21
-tqdm>=4.65
-scikit-learn>=1.3
-cmcrameri>=2.0
+numba>=0.58
+Pillow>=10.0
+pillow-avif-plugin>=1.4
+fastapi>=0.110
+uvicorn>=0.29
+pydantic>=2.6
+pyproj>=3.6
+cmcrameri>=1.8
+
+# Tests (./run.sh --test)
+pytest>=7.4