Layout uniforme WebP: axes fixes + aspect='equal' pour superposition géolocalisée

- Positions d'axes fixes (data_left/bottom/width/height_frac) pour alignement
  pixel-parfait entre terrain et ortho/topo
- aspect='equal' au lieu de 'auto' pour conserver les proportions géographiques
- Colorbar descriptive pour les visualisations RGB (ortho/topo)
- Comblage des petits trous DTM (< 1m) via rasterio.fill.fillnodata
- Suppression de la visualisation "dépressions"
- Hillshade composite: 0.7*hillshade + 0.3*cos(slope)
- D8 flow accumulation accéléré par numba JIT (fallback Python)
- Flag --keep-tif pour conserver les TIFF intermédiaires
- --force supprime aussi les TIF existants avant régénération
- ETA affiché pendant la génération des visualisations
- Répertoires temp dans temp/ pour traitement parallèle

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

lidar_pipeline/tests/test_cli.py

@@ -17,6 +17,7 @@ class TestCLIParsing:
         parser.add_argument("-w", "--workers", type=int, default=1)
         parser.add_argument("-f", "--force", action="store_true")
         parser.add_argument("--file", nargs="+", type=str, default=None)
+        parser.add_argument("--keep-tif", action="store_true")
 
         args = parser.parse_args(["./input"])
         assert args.input == "./input"
@@ -25,6 +26,7 @@ class TestCLIParsing:
         assert args.workers == 1
         assert args.force is False
         assert args.file is None
+        assert args.keep_tif is False
 
     def test_file_flag_single(self):
         import argparse
@@ -65,7 +67,7 @@ class TestSetupLogging:
         assert len(logger.handlers) == 1
         # Format should not include timestamps
         fmt = logger.handlers[0].formatter._fmt
-        assert "%(asctime)" not in fmt
+        assert "%(asctime)s" not in fmt
 
     def test_verbose_logging(self):
         """Verbose logging includes timestamps."""
@@ -73,7 +75,7 @@ class TestSetupLogging:
         from lidar_pipeline.cli import setup_logging
         logger = setup_logging(verbose=True, debug=False)
         fmt = logger.handlers[0].formatter._fmt
-        assert "%(asctime)" in fmt
+        assert "%(asctime)s" in fmt
 
     def test_debug_logging(self):
         """Debug logging includes file:line info."""
@@ -82,5 +84,5 @@ class TestSetupLogging:
         logger = setup_logging(verbose=False, debug=True)
         assert logger.level == logging.DEBUG
         fmt = logger.handlers[0].formatter._fmt
-        assert "%(filename)" in fmt
-        assert "%(lineno)" in fmt
+        assert "%(filename)s" in fmt
+        assert "%(lineno)d" in fmt

lidar_pipeline/tests/test_gpu.py

@@ -11,12 +11,12 @@ def test_has_gpu_attribute():
 
 
 def test_to_gpu_returns_array():
-    """to_gpu returns a float64 array with correct values."""
+    """to_gpu returns a float32 array with correct values."""
     from lidar_pipeline.gpu import to_gpu, to_cpu, HAS_GPU
     arr = np.array([1.0, 2.0, 3.0])
     result = to_gpu(arr)
-    # On GPU: cupy.ndarray, on CPU: numpy.ndarray
-    assert result.dtype == np.float64
+    # to_gpu converts to float32 to reduce GPU memory usage
+    assert result.dtype == np.float32
     # Always bring back to CPU for comparison
     np.testing.assert_array_equal(to_cpu(result), [1.0, 2.0, 3.0])
 

lidar_pipeline/tests/test_pipeline.py

@@ -26,9 +26,9 @@ class TestVizSteps:
         assert "solar" not in names
 
     def test_expected_visualization_count(self):
-        """Should have 19 visualizations (18 terrain + ortho + topo - solar)."""
+        """Should have 17 visualizations (15 terrain + ortho + topo)."""
         from lidar_pipeline.pipeline import VIZ_STEPS
-        assert len(VIZ_STEPS) == 19
+        assert len(VIZ_STEPS) == 17
 
     def test_ortho_and_topo_present(self):
         from lidar_pipeline.pipeline import VIZ_STEPS

lidar_pipeline/tests/test_visualizations.py

@@ -141,13 +141,6 @@ class TestTPI:
         assert result.exists()
 
 
-class TestDepressions:
-    def test_generates_tif(self, synthetic_dem, tmp_output_dir):
-        from lidar_pipeline.visualizations import generate_depressions
-        result = generate_depressions(synthetic_dem, "test", tmp_output_dir, 5.0)
-        assert result is not None
-        assert result.exists()
-
 
 class TestSAILORE:
     def test_generates_tif(self, synthetic_dem, tmp_output_dir):