carte continue: cropped images + continuous map + PDF download via jsPDF

lidar_pipeline/pipeline.py

@@ -68,7 +68,7 @@ from .visualizations import (
 )
 from .gpu import gpu_cleanup, num_gpus, available_gpu_ids, restrict_gpus, safe_gpu_call
 from .ign import generate_ign_overlay
-from .rendering import tif_to_png
+from .rendering import tif_to_crop
 
 
 # Ordered list of visualization steps.
@@ -304,14 +304,9 @@ class LidarArchaeoPipeline:
         # Convert to output format (only newly generated TIFs, not skipped ones)
         fmt_label = self.output_format.upper()
         logger.info(f"  Conversion images {fmt_label}:")
-        source_info = {
-            'method': self.ground_method,
-            'date': datetime.now().strftime('%Y-%m-%d'),
-            'basename': basename,
-        }
         for name, tif_file in vis_results.items():
             if tif_file and isinstance(tif_file, Path) and tif_file.suffix == '.tif' and tif_file.exists():
-                img_file = tif_to_png(tif_file, file_vis_dir, resolution, keep_tif=self.keep_tif, source_info=source_info, quality=self.quality, output_format=self.output_format)
+                img_file = tif_to_crop(tif_file, file_vis_dir, resolution, keep_tif=self.keep_tif, quality=self.quality, output_format=self.output_format)
                 if img_file:
                     logger.info(f"    ✓ {img_file.name}")