An audit of the tutorial catalog (38 notebooks) found the coverage is heavily weighted toward augmentation (7 tutorials) and local-feature matching (5), while several major kornia modules have no tutorial at all:
- Depth & 3D — nothing covers
kornia.geometry.depth (depth warping, unprojection) or point-cloud utilities.
- Camera models —
kornia.geometry.camera (pinhole, projections, distortion) has no dedicated tutorial, even though it underpins the geometry stack.
- Image I/O —
kornia.io / kornia-rs loading is only touched in passing (one category tag); a short tutorial on fast image loading (including kornia_rs.io decoding) would be a natural entry point. The new Ray VLM data-loading tutorial partially covers this.
- ONNX / deployment — no tutorial shows exporting kornia pipelines via
kornia.onnx or running them outside PyTorch.
Smaller gaps worth considering: color constancy / white balance, and a geometry-solvers overview (find_homography_dlt, find_fundamental, RANSAC).
This came out of the same audit that merged several thin single-operator tutorials (#see recent commits on the audit branch); the intent here is to fill empty areas rather than add more depth where coverage is already dense.
An audit of the tutorial catalog (38 notebooks) found the coverage is heavily weighted toward augmentation (7 tutorials) and local-feature matching (5), while several major kornia modules have no tutorial at all:
kornia.geometry.depth(depth warping, unprojection) or point-cloud utilities.kornia.geometry.camera(pinhole, projections, distortion) has no dedicated tutorial, even though it underpins the geometry stack.kornia.io/kornia-rsloading is only touched in passing (one category tag); a short tutorial on fast image loading (includingkornia_rs.iodecoding) would be a natural entry point. The new Ray VLM data-loading tutorial partially covers this.kornia.onnxor running them outside PyTorch.Smaller gaps worth considering: color constancy / white balance, and a geometry-solvers overview (
find_homography_dlt,find_fundamental, RANSAC).This came out of the same audit that merged several thin single-operator tutorials (#see recent commits on the audit branch); the intent here is to fill empty areas rather than add more depth where coverage is already dense.