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

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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.
This commit is contained in:
Antoine Jacquin
2026-06-01 23:03:19 +02:00
parent 618cd620e3
commit 8478106e51
5 changed files with 418 additions and 213 deletions
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10
lidar_pipeline/tests/test_pipeline.py
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@ -19,16 +19,10 @@ class TestVizSteps:
names = [name for name, _ in VIZ_STEPS]
assert len(names) == len(set(names)), "VIZ_STEPS has duplicate names"
def test_no_solar_in_viz_steps(self):
"""Solar visualization was removed."""
from lidar_pipeline.pipeline import VIZ_STEPS
names = [name for name, _ in VIZ_STEPS]
assert "solar" not in names
def test_expected_visualization_count(self):
"""Should have 13 visualizations (11 terrain + ortho + topo)."""
"""Should have 16 visualizations (14 terrain + ortho + topo)."""
from lidar_pipeline.pipeline import VIZ_STEPS
assert len(VIZ_STEPS) == 13
assert len(VIZ_STEPS) == 16
def test_ortho_and_topo_present(self):
from lidar_pipeline.pipeline import VIZ_STEPS