bridge op• Data kinds: image → video
• Call: fullseye.apply(img, "img_to_video", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
*The figure is the actual output on a synthetic 128×128 input. Left: input, right: output. Point clouds are drawn as a top-down scatter (brightness = z), 1-D series as a line plot, volumes as the maximum-intensity projection along z, videos as the middle frame, complex images as magnitude; return values that are not pictures are shown as the values themselves.*
Sweeping knob a (0.1 / 0.5 / 0.9, the other knob at its default):
▸ img_to_video: knob a sweep (docs site)
Sweeping knob b (0.1 / 0.5 / 0.9, the other knob at its default):
▸ img_to_video: knob b sweep (docs site)
On other images (synthetic scene / photo / coins. Top row: inputs, bottom row: their outputs. Knobs at default):
▸ img_to_video: other inputs (docs site)
*The 4th column is a colour (H,W,3) input. This op handles colour without crossing channels (it does not convolve the colour channel as a third spatial axis).*
Motion (GIF: frames / views / slices in turn. The still figure is the complete one; the GIF is supplementary):
Turn the image into a T-frame video (T,H,W) translated at constant speed.
> The detailed description below is the original text — the summary and the headings are translated.
フレーム `t は入力を (dy, dx) = t * step * (sin θ, cos θ)` だけ動かしたもの
(`scipy.ndimage.shift`、線形補間、縁は最近傍で延長)。**変位が閉形式で
分かる**ので、動画の族(`tb_frame_difference_causal / tb_motion_energy_image` /
`tb_background_subtraction_window` …)の検算に使える。
• `a → 1 フレームあたりの歩幅 step = 4 * a` 画素(a=0.5 で 2 px/frame)。
• `b → 移動方向 θ = 2π * b`(b=0 で +x、b=0.25 で +y(下)、b=0.5 で −x)。
• フレーム数 `T = VIDEO_FRAMES`(8)。フレーム 0 は入力そのもの。
• 返り値: `(T, H, W)` float64、値域は入力と同じ([0,1] なら [0,1] のまま。
線形補間は値域を広げない)。
注意: 動くのは画面全体(カメラのパン)であって、物体だけではない。
背景差分の族は「動かない背景」を仮定するので、全体パンでは前景が全画素に出る。
• gallery2d_bridge 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.
The program below has been verified to run (same input as the figure). In Studio's help this block becomes buttons that load and run it on the spot.
img_to_video 0.50 0.50
▸ Load this pipeline · Load & run
• gallery2d_bridge — py -3.11 examples/gallery2d_bridge.py
video as input)identity · tb_temporal_bandpass · tb_temporal_band_power · tb_temporal_median_window · tb_moving_average_window · tb_background_subtraction_window · tb_frame_difference_causal · tb_exponential_background
bridge)img_to_points · img_to_keypoints · img_to_signal · img_to_projection_profile · img_to_counts · img_to_matrix · img_to_volume · img_to_lightfield
*Provenance: ops.py — 2D 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.