score-back/config.scared.yml
Artur Mukhamadiev 508570cb5c feat(cli): expose point cloud visualization controls
- add block-averaged PLY grid decimation with validity-aware vertex generation

- validate and load ply_stride and wls_filter from cloud_point configuration

- pass matcher tuning through CloudPointClient and apply both settings in CLI exports

- cover stride averaging, sparse blocks, invalid values, and config parsing
2026-09-14 10:43:29 +03:00

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YAML

# CLI configuration for validating against a SCARED keyframe served by
# scared_dataset_server (default port 8080; pick another if 8080 is busy).
server:
ip: "127.0.0.1"
port: 8080
cloud_point:
algorithm: cpu # "gpu" falls back to CPU when CUDA is unavailable
num_disparities: 160 # fx ~1024 px, baseline ~4.35 mm -> up to ~160 px
min_depth_m: 0.02 # endoscopic working range: 20 mm .. 300 mm
max_depth_m: 0.30
ply_stride: 1 # option 5: 4 = 16x smaller mesh, block-averaged
wls_filter: false # true = smoother mesh for viewers, ~10 % less accurate