lidar_rendu

Files

Antoine Jacquin 8478106e51 Fix GPU bugs, restore aspect viz, fix anomaly mask, revert flow_acc to vectorized D8

GPU: num_gpus() returns real count via _gpu_candidates (was always 0/1),
available_gpu_ids() added. Pipeline: round-robin on real GPU host indices
instead of file enumerate index. _process_file_standalone signature simplified.

Restore generate_aspect using SharedDEM gradient (dy, dx). Colormap twilight
0-360 fixed range. VIZ_STEPS back to 16.

Flow accumulation: revert to vectorized numpy D8 direction + module-level
numba accumulator (cached, top-down sort) with Python fallback. Priority-flood
NaN-aware. Log1p transform.

Anomaly mask: replace RMS+fixed 2sigma threshold (was blank) with weighted
sum of |z-score| + adaptive percentile threshold. Absolute z-score captures
both positive and negative deviations. 6% signal detected vs 0% before.

2026-06-01 23:03:19 +02:00

tests

Fix GPU bugs, restore aspect viz, fix anomaly mask, revert flow_acc to vectorized D8

2026-06-01 23:03:19 +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

Document GPU selection in CLI help + epilog examples