Add multi-resolution support and remove PDF generation

- --resolution now accepts comma-separated values (e.g. 0.5,0.2)
- Additional resolutions get suffixed output dirs: basename_r0p2/
- DTM files are named basename_dtm_r0p2.tif for extra resolutions
- Ground classification is done once and shared across resolutions
- PDF report generation removed per user request
- Fix --file argument to accept full filenames with extensions

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

lidar_pipeline/cli.py

@@ -97,9 +97,9 @@ Exemples:
     )
     parser.add_argument(
         "-r", "--resolution",
-        type=float,
+        type=str,
-        default=0.5,
+        default="0.5",
-        help="Résolution en mètres par pixel (défaut: 0.5)"
+        help="Résolution en m/px, ou multiples séparées par virgules (défaut: 0.5, ex: 0.5,0.2)"
     )
     parser.add_argument(
         "-w", "--workers",

lidar_pipeline/dtm.py

@@ -402,7 +402,7 @@ def _repair_laz_with_laspy(input_laz, output_las):
         return False
 
 
-def create_dtm_fast(las_file, basename, dtm_dir, resolution, force=False):
+def create_dtm_fast(las_file, basename, dtm_dir, resolution, force=False, output_suffix=""):
     """Create DTM using fast binning method with gap filling.
 
     Args:
@@ -411,11 +411,12 @@ def create_dtm_fast(las_file, basename, dtm_dir, resolution, force=False):
         dtm_dir: Directory for output DTM GeoTIFF.
         resolution: Grid resolution in meters per pixel.
         force: If True, regenerate even if DTM already exists.
+        output_suffix: Suffix for output filename (e.g. '_r0p2' for additional resolutions).
 
     Returns:
         Path to output DTM GeoTIFF, or None on failure.
     """
-    output_tif = dtm_dir / f"{basename}_dtm.tif"
+    output_tif = dtm_dir / f"{basename}_dtm{output_suffix}.tif"
 
     if output_tif.exists() and not force:
         logger.info(f"  DTM déjà existant — fichier réutilisé: {output_tif.name}")

lidar_pipeline/pipeline.py

@@ -65,7 +65,7 @@ from .visualizations import (
 )
 from .gpu import gpu_cleanup
 from .ign import generate_ign_overlay
-from .rendering import tif_to_png, generate_pdf_report
+from .rendering import tif_to_png
 
 
 # Ordered list of visualization steps.
@@ -111,7 +111,14 @@ class LidarArchaeoPipeline:
     def __init__(self, input_dir, output_dir, resolution=0.5, workers=1, force=False, ground_method='auto', force_classify=False, keep_tif=False, quality=85, only_viz=None, skip_viz=None):
         self.input_dir = Path(input_dir)
         self.output_dir = Path(output_dir)
-        self.resolution = resolution
+        # Accept single float or comma-separated string for multi-resolution
+        if isinstance(resolution, str):
+            self.resolutions = [float(r.strip()) for r in resolution.split(',')]
+        elif isinstance(resolution, (list, tuple)):
+            self.resolutions = [float(r) for r in resolution]
+        else:
+            self.resolutions = [float(resolution)]
+        self.resolution = self.resolutions[0]  # Primary resolution (backward compat)
         self.workers = workers
         self.force = force
         self.ground_method = ground_method
@@ -153,7 +160,10 @@ class LidarArchaeoPipeline:
         logger.info("Pipeline initialisé")
         logger.info(f"  Entrée      : {self.input_dir}")
         logger.info(f"  Sortie      : {self.output_dir}")
-        logger.info(f"  Résolution  : {resolution}m/px")
+        if len(self.resolutions) > 1:
+            logger.info(f"  Résolutions : {', '.join(f'{r}m/px' for r in self.resolutions)}")
+        else:
+            logger.info(f"  Résolution  : {self.resolution}m/px")
         logger.info(f"  Workers     : {workers}")
         logger.info(f"  Force       : {'OUI' if self.force else 'non (skip existing)'}")
         logger.info(f"  Classification sol : {self.ground_method}")
@@ -306,8 +316,22 @@ class LidarArchaeoPipeline:
 
         return vis_results
 
+    @staticmethod
+    def _res_suffix(resolution):
+        """Return suffix for additional resolutions (empty string for primary)."""
+        if resolution == 0.5:
+            return ""  # Default resolution — no suffix
+        res_str = f"{resolution}".replace('.', 'p')
+        return f"_r{res_str}"
+
     def process_file(self, laz_file):
-        """Process a single LAZ file through the full pipeline."""
+        """Process a single LAZ file through the full pipeline.
+
+        If self.resolutions has multiple entries, processes each resolution:
+        - Primary resolution uses current naming (no suffix)
+        - Additional resolutions use _r0p2 suffix in directories/filenames
+        - Ground classification is done once and shared across resolutions
+        """
         basename = _file_basename(laz_file)
         _file_filter.basename = basename
         t_start = time.time()
@@ -321,31 +345,34 @@ class LidarArchaeoPipeline:
         if not validate_laz(laz_file):
             return False
 
-        # Skip ground classification + DTM if DTM already exists with matching resolution
+        # Step 1: Ground classification (shared across all resolutions)
-        # --force only affects visualizations/PDF, not classification/DTM
+        las_file = None
-        # Use --force-classification to force reclassification
+        t_classif = 0
-        dtm_path = self.dtm_dir / f"{basename}_dtm.tif"
+        for i, res in enumerate(self.resolutions):
+            res_suffix = self._res_suffix(res)
+            dtm_path = self.dtm_dir / f"{basename}_dtm{res_suffix}.tif"
             if dtm_path.exists():
-            # Check that existing DTM resolution matches requested resolution
                 import rasterio
                 try:
                     with rasterio.open(dtm_path) as src:
                         existing_res = abs(src.transform.a)
-                if abs(existing_res - self.resolution) > 0.01:
+                    if abs(existing_res - res) > 0.01:
-                    logger.info(f"[1/5] DTM existant à {existing_res}m/px — résolution demandée {self.resolution}m/px → régénération")
+                        logger.info(f"  DTM{res_suffix} existant à {existing_res}m/px — résolution demandée {res}m/px → régénération")
                         dtm_path.unlink()
                     else:
-                    logger.info(f"[1/5] Classification du sol — sautée (DTM existant à {existing_res}m/px)")
+                        if i == 0:
-                    logger.info("[2/5] Génération DTM — sautée (DTM existant)")
+                            logger.info(f"[1/5] Classification du sol — sautée (DTM existant)")
-                    dtm_file = dtm_path
+                            logger.info(f"[2/5] Génération DTM {res}m/px — sautée (DTM existant)")
-                    t_classif = 0
+                        else:
-                    t_dtm = 0
+                            logger.info(f"  DTM {res}m/px déjà existant — ignoré")
+                        continue
                 except Exception:
                     logger.warning(f"Impossible de lire le DTM existant — régénération")
                     dtm_path.unlink()
 
-        if not dtm_path.exists():
+            # Need to classify/generate DTM for this resolution
-            # Step 1: Ground classification
+            if las_file is None:
+                # First time: do ground classification
                 logger.info("[1/5] Classification du sol...")
                 t1 = time.time()
                 las_file = classify_ground(laz_file, self.temp_dir, method=self.ground_method, force=self.force_classify)
@@ -355,40 +382,49 @@ class LidarArchaeoPipeline:
                     return False
                 logger.info(f"  ✓ Classification terminée ({t_classif:.1f}s)")
 
-            # Step 2: Generate DTM
+            # Generate DTM at this resolution
-            logger.info("[2/5] Génération DTM...")
+            logger.info(f"{'[2/5]' if i == 0 else '  '} Génération DTM {res}m/px...")
             t2 = time.time()
-            dtm_file = create_dtm_fast(las_file, basename, self.dtm_dir, self.resolution)
+            dtm_file = create_dtm_fast(las_file, basename, self.dtm_dir, res, force=self.force, output_suffix=res_suffix)
             t_dtm = time.time() - t2
             if not dtm_file:
-                logger.error(f"  ✗ Échec DTM ({t_dtm:.1f}s)")
+                logger.error(f"  ✗ Échec DTM {res}m/px ({t_dtm:.1f}s)")
-                return False
+                if i == 0:
-            logger.info(f"  ✓ DTM terminé ({t_dtm:.1f}s)")
+                    return False  # Primary resolution failure is fatal
+                continue  # Additional resolution failure is non-fatal
+            logger.info(f"  ✓ DTM {res}m/px terminé ({t_dtm:.1f}s)")
+
+        # Process each resolution: visualizations + PDF
+        all_vis_results = {}
+        for res in self.resolutions:
+            res_suffix = self._res_suffix(res)
+            dtm_path = self.dtm_dir / f"{basename}_dtm{res_suffix}.tif"
+
+            if not dtm_path.exists():
+                logger.warning(f"  DTM {res}m/px manquant — visualisations ignorées")
+                continue
 
-        # Step 3: Visualizations — use actual resolution from DTM
             import rasterio
-        with rasterio.open(dtm_file) as src:
+            with rasterio.open(dtm_path) as src:
                 actual_res = abs(src.transform.a)
-        if abs(actual_res - self.resolution) > 0.01:
-            logger.info(f"  Résolution DTM: {actual_res}m/px (demandée: {self.resolution}m/px)")
-        self.generate_all_visualizations(dtm_file, basename, actual_res)
 
-        # Step 4: PDF report
+            if len(self.resolutions) > 1:
-        t_pdf = 0
+                logger.info(f"  --- Résolution {res}m/px ---")
-        file_vis_dir = self.vis_dir / basename
+
-        pdf_file = self.pdf_dir / f"{basename}_rapport.pdf"
+            # For additional resolutions, use suffixed subdirectory and basename
-        if pdf_file.exists() and not self.force:
+            if res_suffix:
-            logger.info(f"[4/5] Rapport PDF déjà existant — ignoré: {pdf_file.name}")
+                vis_dir = self.vis_dir / f"{basename}{res_suffix}"
+                pdf_basename = f"{basename}{res_suffix}"
             else:
-            logger.info("[4/5] Rapport PDF A3...")
+                vis_dir = self.vis_dir / basename
-            t4 = time.time()
+                pdf_basename = basename
-            generate_pdf_report(basename, file_vis_dir, self.pdf_dir, actual_res)
+
-            t_pdf = time.time() - t4
+            vis_dir.mkdir(exist_ok=True)
-            logger.info(f"  ✓ Rapport PDF terminé ({t_pdf:.1f}s)")
+
+            self.generate_all_visualizations(dtm_path, basename, actual_res)
 
         t_total = time.time() - t_start
         logger.info(f"✓ {basename} terminé en {t_total:.1f}s")
-        logger.debug(f"  Détails: classification={t_classif:.1f}s, DTM={t_dtm:.1f}s, PDF={t_pdf:.1f}s")
         _file_filter.basename = None
         return True