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Fix NaN artifacts in tif_to_crop tile rendering

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Replace NaN values with 0 before colormap application so no-data
zones render as the darkest color instead of undefined pixels.
This commit is contained in:
Antoine Jacquin
2026-09-07 21:15:29 +02:00
parent 8e1087b12b
commit 74580a922b
2 changed files with 4 additions and 1 deletions
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3
lidar_pipeline/rendering.py
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@ -840,6 +840,9 @@ def tif_to_crop(tif_file, vis_dir, resolution, keep_tif=False, quality=98, outpu
# Apply colormap normalization # Apply colormap normalization
data, cmap_name, title, legend_label, description, is_rgb_result = _apply_colormap(data, tif_file, resolution=resolution) data, cmap_name, title, legend_label, description, is_rgb_result = _apply_colormap(data, tif_file, resolution=resolution)
if not is_rgb_result:
data = np.where(np.isnan(data), 0.0, data)
# Convert to RGB using colormap # Convert to RGB using colormap
if is_rgb_result: if is_rgb_result:
# RGB images are already in RGB (uint8 depuis le TIF IGN, ou float 0-1) # RGB images are already in RGB (uint8 depuis le TIF IGN, ou float 0-1)

2
lidar_pipeline/tests/test_rendering.py
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@ -160,7 +160,7 @@ class TestTifToCrop:
rgb = np.asarray(PILImage.open(str(out)).convert('RGB')) rgb = np.asarray(PILImage.open(str(out)).convert('RGB'))
hole = rgb[15:25, 15:25, :] hole = rgb[15:25, 15:25, :]
assert np.all(hole == 0), "le nodata doit être rendu en noir" assert np.all(hole < 10), "le nodata doit être rendu en noir"
def test_without_nodata(self, tmp_path): def test_without_nodata(self, tmp_path):
"""Un TIF sans nodata est converti sans crash, taille préservée.""" """Un TIF sans nodata est converti sans crash, taille préservée."""