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README.md
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- [Layout Overlay](../layout_overlay/): Measures overlap excluding underlay
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- [Layout Occlusion](../layout_occlusion/): Evaluates coverage of salient regions
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- [Layout Validity](../layout_validity/): Checks basic validity constraints
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- [Layout Overlay](../layout_overlay/): Measures overlap excluding underlay
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- [Layout Occlusion](../layout_occlusion/): Evaluates coverage of salient regions
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- [Layout Validity](../layout_validity/): Checks basic validity constraints
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## Limitations
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Parity tests map normalized boxes to pixels, filter invalid elements, and call the pinned `metrics_und_l` and `metrics_und_s` references ([`eval.py#L224-L252`](https://github.com/PKU-ICST-MIPL/PosterLayout-CVPR2023/blob/44ee576471f3c06d06fc632f13e3f96d0c381847/eval.py#L224-L252), [`eval.py#L265-L292`](https://github.com/PKU-ICST-MIPL/PosterLayout-CVPR2023/blob/44ee576471f3c06d06fc632f13e3f96d0c381847/eval.py#L265-L292)). On the ten committed entries the loose-score maximum absolute difference is 6.0e-8 from float32 reduction versus float64 feature conversion; parity uses a 1e-6 tolerance. With no underlay, the published metric returns NaN from the empty mean while the reference returns 0. The published metric also retains the upstream `xr_2 >= xr_2` containment condition; a test records the shared behavior for a foreground box extending past the underlay's right edge rather than changing either implementation.
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