code/README.md

CM-EVS curator code (reviewer reference)

This directory mirrors the curator source code from the (anonymized) GitHub release. It's included here so reviewers can cross-reference implementation details against the paper without needing two URLs.

Layout

code/
├── core/                       (curator core modules — coordinate, ERP projection / warping,
│                                tangent extraction, depth fusion, …)
├── scripts/                    (per-step CLI scripts — build_candidates, select_views,
│                                render_selected, evaluate_coverage, evaluate_oracle_gap,
│                                audit_quality, run_tiny.sh, …)
├── pipelines/                  (per-source end-to-end runners — Blender, HM3D,
│                                ScanNet++, full multi-source pipeline)
├── tools/                      (helper tools — make_sha256sums.sh,
│                                update_croissant_with_real_hashes.py, …)
├── configs/                    (per-source YAML configs used by pipelines)
├── metadata_examples/          (JSON schemas: candidates, selected_viewpoints,
│                                per_step_log)
├── examples/tiny_blender_scene/  (smoke-test fixture — run scripts/run_tiny.sh)
├── dataset_metadata/           (croissant.json reference copy; same as top-level
│                                ../croissant.json)
├── environment.yml             (conda environment)
├── requirements.txt            (pip fallback)
└── LICENSE                     (MIT)

Quick start

conda env create -f environment.yml
conda activate cmevs

# tiny smoke test (uses examples/tiny_blender_scene/)
bash scripts/run_tiny.sh

# real run:
python pipelines/run_blend_pipeline.py    --config configs/blender_indoor.yaml
python pipelines/run_hm3d_pipeline.py     --config configs/hm3d.yaml
python pipelines/run_ply_pipeline.py      --config configs/scannetpp.yaml

Mapping paper sections → code

Paper section	Code
§3.1 Setup (candidates, budget, coverage)	scripts/build_candidates.py, core/coordinate.py
§3.2 Conflict-aware warping oracle	core/erp_warp.py, scripts/selection_metrics.py
§3.3 Pipeline three phases	pipelines/run_blend_pipeline.py, run_hm3d_pipeline.py, run_ply_pipeline.py
§3.4 Adapters (Table 2)	pipelines/run_*_pipeline.py per source
Algorithm 1 (greedy)	scripts/select_views.py
§3.6 Adaptive frame budgets (early stop)	scripts/select_views.py (stop_gain, stop_score, stop_delta flags)
§4.1 Output schema	core/coordinate.py, core/erp_projection.py, metadata_examples/*.schema.json
§4.8 per-frame quality	scripts/audit_quality.py
§5.1 Fixed-budget coverage	scripts/evaluate_coverage.py
§5.2 Warping oracle vs pre-render-all	scripts/evaluate_oracle_gap.py
§F.2 50-frame audit	scripts/audit_quality.py (extended audit mode)

Reproducibility

All curator parameters that affect paper numbers are in configs/*.yaml. The reviewer can:

1. Inspect each YAML to confirm parameter values match the paper.
2. Run a smoke test against examples/tiny_blender_scene/ to confirm the code executes end-to-end.
3. Reproduce the full pipeline against actual data (Blender indoor frames are in ../blender_indoor/; HM3D / ScanNet++ / outdoor data must be obtained from upstream).

License

MIT — see LICENSE and the top-level ../LICENSE.md for the full per-component matrix.