video_cube_cut — VIDEOCUBE `cube` op

• Data kinds: video → image2d

• Call: import fullseye as fs; fs.ledger.video_cube_cut(video, plane: 'str' = 'xt', position: 'float' = 0.5) -> 'np.ndarray' (to call the implementation directly, import videocube; videocube.video_cube_cut(video, plane: 'str' = 'xt', position: 'float' = 0.5) -> 'np.ndarray'; from the registry, opsvideocube.get("video_cube_cut"))

Usage

One cross-section of the cube (image2d). "xt" = slit scan of row position (T, W), "yt" = (T, H) of a column, "xy" = the frame at time position (H, W). position is a fraction in [0, 1] (what fraction along the rows, columns or time).

In an x–t section, an object moving right becomes a streak slanting down to the right and a stationary object a vertical band -- velocity can be read as slope.

>>> streak = video_cube_cut(clip, "xt", position=0.4) # record of what crossed the row at the 4/10 mark

Detailed usage guide

• videocube family 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)

• poc_video_cube — py -3.11 examples/poc_video_cube.py

Ops the type connects to (they accept `image2d` as input)

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Same category (`cube`)

video_spacetime_cube

*Provenance: videocube.py — VIDEOCUBE operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

video_cube_cut — VIDEOCUBE cube op