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Add CelloCut benchmark dataset
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CelloCut Benchmark Evaluation

This directory contains cleaned evaluation scripts for geometric and visual metrics.

Geometric metrics

python evaluation/geometric_metric/evaluate_geometry.py \
  --gt-dir CelloScan/gt \
  --pred-dir path/to/predictions \
  --output-dir path/to/geometric_results

The script reports Chamfer-L2, Hausdorff distance, normal consistency, absolute normal consistency, and F1 scores. Ground-truth files may be .ply or .obj; predictions are matched by filename stem.

Visual metrics

python evaluation/visual_metric/evaluate_visual.py \
  --gt-dir CelloFill/gt \
  --pred-dir path/to/predictions \
  --output-dir path/to/visual_results \
  --blender blender

The visual script renders each pair with Blender and reports LPIPS, CLIP image similarity, and FID. Use --skip-clip or --skip-fid when those optional dependencies are unavailable.