lidar_rendu

Files

Jacquin Antoine c6c804749e Skip SharedDEM computation when all visualizations already exist

Two optimizations to avoid ~2min wasted per file on re-runs:

1. pipeline.py: Check which visualizations need regeneration before
   computing SharedDEM. If all WebP outputs exist, skip SharedDEM
   entirely. If only IGN overlays need updating, also skip SharedDEM.

2. visualizations.py: Make SharedDEM attributes lazy (filled, gradient,
   lrm_15) so only the data actually needed is computed. For example,
   if only hillshade is regenerated, LRM at 15m is never calculated.

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

2026-05-14 20:40:51 +02:00

tests

Remove RRIM and Multi-Hillshade RGB, fix DTM resolution reuse bug, add --init to docker run

2026-05-14 02:19:42 +02:00

__init__.py

Refactor pipeline en modules + logging verbose/debug + options CLI

2026-05-10 00:15:29 +02:00

__main__.py

Refactor pipeline en modules + logging verbose/debug + options CLI

2026-05-10 00:15:29 +02:00

cli.py

Remove PMF, fix NaN in gradient visualizations, fix pos_open/neg_open shared param