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AVIF q60 par défaut et sélecteur de mode de fusion par couche

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This commit is contained in:
Antoine Jacquin
2026-09-19 21:26:13 +02:00
parent 5f018fe2b6
commit 3a374a3ab4
6 changed files with 151 additions and 15 deletions
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6
lidar_pipeline/rendering.py
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@ -383,7 +383,7 @@ def _nice_scale(extent_m):
return chosen, f"{chosen} m"
def tif_to_png(tif_file, vis_dir, resolution, keep_tif=False, source_info=None, quality=98, output_format='avif'):
def tif_to_png(tif_file, vis_dir, resolution, keep_tif=False, source_info=None, quality=60, output_format='avif'):
"""Convert GeoTIFF to visualization image (WebP or AVIF) with GPS coordinates, legend, and scale bar.
Args:
@ -392,7 +392,7 @@ def tif_to_png(tif_file, vis_dir, resolution, keep_tif=False, source_info=None,
resolution: Grid resolution in m/px.
keep_tif: If True, keep the source TIFF after conversion.
source_info: Dict with method/date/basename for metadata.
quality: Image quality (1-100). Use 100 for lossless. Default 98.
quality: Image quality (1-100). Use 100 for lossless. Default 60.
output_format: Output format ('webp' or 'avif'). Default 'avif'.
Returns:
@ -815,7 +815,7 @@ def tif_to_png(tif_file, vis_dir, resolution, keep_tif=False, source_info=None,
return None
def tif_to_crop(tif_file, vis_dir, resolution, keep_tif=False, quality=98, output_format='avif'):
def tif_to_crop(tif_file, vis_dir, resolution, keep_tif=False, quality=60, output_format='avif'):
"""Convert GeoTIFF to a cropped visualization image (no legend, no overlay).
Applies colormap and saves the image as a pure 1×1 km square.