rmse — IMGMETRICS `fidelity` op

• Data kinds: image2d × image2d → scalar

• Call: import imgmetrics; imgmetrics.rmse(a, b) (or opsimgmetrics.get("rmse"))

Usage

Root mean squared error (in the same units as the pixel values).

Detailed usage guide

References (sample data, literature)

• 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.

Runnable examples (verified samples that actually call this op)

• grasp_pose — py -3.11 examples/grasp_pose.py

• image_quality_metrics — py -3.11 examples/image_quality_metrics.py

• physical_ai_perception — py -3.11 examples/physical_ai_perception.py

• poc_ct_fidelity — py -3.11 examples/poc_ct_fidelity.py

• poc_polarization_specular — py -3.11 examples/poc_polarization_specular.py

• poc_registration_basin — py -3.11 examples/poc_registration_basin.py

Ops the type connects to (they accept `scalar` as input)

—

Same category (`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).*

rmse — IMGMETRICS fidelity op