fidelity op• Data kinds: image2d × image2d → scalar
• Call: import fullseye as fs; fs.ledger.rmse(a, b) (to call the implementation directly, import imgmetrics; imgmetrics.rmse(a, b); from the registry, opsimgmetrics.get("rmse"))
Root mean squared error (in the same units as the pixel values).
> The detailed description below is the original text — the summary and the headings are translated.
式: `sqrt(mse(a, b))。検証と失敗条件は mse` と同じ ―― 同じ形 / 空でない /
有限、を満たさなければ `MetricContractError`。次元と dtype は問わない。
• 返り値: Python の `float。入力が [0, 1] の float なら値も [0, 1]`、uint8
なら 0〜255 の尺度。「平均して何階調ずれているか」と読める。
• `data_range` に依らない生の量なので、尺度の違う 2 組の rmse を並べても
比較にならない。正規化した指標が要るなら `psnr か ssim`。
• 深度・CT・再投影など「画素値 = 物理量」の場面では、その物理単位そのものになる。
• image_difference_metrics family guide
• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).
• Operator provenance and references — the sources of the research/methods this op family came from.
• The canonical algorithm (author, year) and its uses are named in the family usage guide above.
• grasp_pose — py -3.11 examples/grasp_pose.py
• image_quality_metrics — py -3.11 examples/image_quality_metrics.py
• poc_ct_fidelity — py -3.11 examples/poc_ct_fidelity.py
• poc_datacenter_thermal_field — py -3.11 examples/poc_datacenter_thermal_field.py
• poc_polarization_specular — py -3.11 examples/poc_polarization_specular.py
• poc_structure_4d_deterioration — py -3.11 examples/poc_structure_4d_deterioration.py
scalar as input)—
fidelity)mse · psnr · ssim · ms_ssim · ssim_map
*Provenance: imgmetrics.py — IMGMETRICS operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.