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Feature/gaussian point model
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Feature/gaussian point model
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Commits on Jun 17, 2026
Add per-frame xpts CSV emission to run_hessian_and_build_cache.py (row, col, class columns for X/Omax/Omin points), with a backfill pass that writes CSVs for already-cached frames without re-runnin…
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Commits on Jun 24, 2026
Add point_metrics.py for scoring point-list predictions against ground truth at the point level. match_points takes two coordinate arrays and a matching radius, builds a grid index on the gt side, …
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Commits on Jun 25, 2026
Add backfill_xpts_csv.py and predict_points.py, the two ways we get point-list CSVs onto disk. backfill_xpts_csv.py walks a cache directory and writes per-frame {N}_xpts.csv files from existing {N}…
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Commits on Jul 7, 2026
Add score_point_predictions.py, the aggregator that ties the point-list scoring together. Takes a predictions root directory (subdirs per dataset), loads the predicted xpts CSVs with their confiden…
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Commits on Jul 24, 2026
Bring Gaussian heatmap training code (gaussian_xpoints_mask, FocalHeatmapLoss, --gaussianSigma/--targetType/--heatmap* args) onto the point-list branch so a single working tree can both train at va…
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Commits on Aug 20, 2026
move peak extraction into point_metrics and vectorize the connected-component NMS
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use the shared extract_peaks in predict_points and thread the second PKPM run through cache build, prediction, and scoring
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add a gaussian-aware optuna tuner that maximizes point-level F1
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Commits on Sep 4, 2026
derive predict/score dataset paths from RC_EXTRACT_DIR/RC_CACHE_BASE instead of hardcoding them
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Commits on Sep 11, 2026
sweep the peak-extraction threshold inside each optuna trial so every config is scored at its own best cutoff
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document the gaussian target options, point-level evaluation pipeline, and RC_* path variables in the README
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