Revert TTA + add COLMAP-support vertex filter

TTA optimization: cache point fusion, vary only priority sampling

TTA: 3-pass test-time augmentation with priority-sample seed variation

Ensemble: disable redundant heavy features in classical pipeline

Add learned + classical pipeline ensemble (LOCAL only, push tomorrow)

Lower CONF_THRESH 0.5 -> 0.4 to recover missing edges

Revert: roll back COLMAP refine + junction + snap changes

Boost: COLMAP plane refinement + junction constraints + snap fixes

Optimize hybrid geometric ensemble for massive HSS boost

Re-enable hybrid geometric tracking ensemble

Add dummy app.py to fix NO_APP_FILE Space error

Upload checkpoint.pt with huggingface_hub

Merge remote

Keep remote README.md

initial commit

Add runtime dependency installation for scipy and pandas

Temporarily disable hybrid logic for debugging

Fix OpenMP SIGABRT crash caused by pycolmap import

Fix dataset script loading and add parquet fallback

Fix submission.json output path and filter NaNs in hybrid_merge

Deploy learned baseline + hybrid multi-view tracking ensemble

Disable bundle adjust (timeout) and set TRACK_MIN_VIEWS=2 for recall

Lower sklearn edge threshold to 0.45 to boost edge recall

Enable Bundle Adjustment and Track Vertices

Add missing core Python files

Bypass validation for track edges and fix SVD crashes

Switch to alternative vertex generation strategies since DGCNN cannot run

Fix sys.path and networkx dependency for Hugging Face

Fix relative paths for PyTorch models

Optimize DGCNN edge hyper-parameters to beat baseline

Update tuned hyperparameters

Enhance wireframe prediction filtering and clustering

Fix competition config and script crash

Update team name and submission repo

submit handcrafted baseline

Update script.py

Update script.py

Update script.py

Update script.py

Update params.json

Duplicate from usm3d/handcrafted_submission_2025