typed op• 数据种类:signal → signal
• 调用:fullseye.apply(img, "tb_smooth_funct_1d_mean", a=0.5, b=0.5)(2-D 的模型是一张图 + 两个标量旋钮 a,b∈[0,1])

*图为在 128×128 合成输入上实际运行的输出。左为输入,右为输出。点云以俯视散点显示(亮度 = z),一维序列为折线,体数据为沿 z 的最大值投影,视频为中间帧,复数图像为幅值;无法成像的返回值直接显示数值。*
扫描旋钮 a(0.1 / 0.5 / 0.9,另一旋钮取默认):
▸ tb_smooth_funct_1d_mean: knob a sweep (docs site)
扫描旋钮 b(0.1 / 0.5 / 0.9,另一旋钮取默认):
▸ tb_smooth_funct_1d_mean: knob b sweep (docs site)
阶段(前置算子 → 本算子,从左到右):
▸ tb_smooth_funct_1d_mean: stages (docs site)
换别的图像(合成场景 / 照片 / 硬币。上排为输入,下排为对应输出。旋钮取默认):
▸ tb_smooth_funct_1d_mean: other inputs (docs site)
迭代式移动平均平滑(HALCON `smooth_funct_1d_mean`)。
> 以下的详细说明为原文 —— 摘要与标题已翻译。
Applies a length-*size* uniform (box) filter *iterations* times with
`nearest` (edge-replicating) boundary handling. Repeated box filtering
approaches a Gaussian (central limit theorem).
:param y: 1-D function, at least 1 sample.
:param size: window length in samples; truncated to int, must be >= 1.
Even sizes are accepted but shift the window origin by half a sample
(scipy's origin convention) — prefer odd sizes for a symmetric window.
:param iterations: number of passes; truncated to int, must be >= 0.
`iterations=0` returns the (float64-coerced) input unchanged.
:returns: smoothed float64 array, same length as *y*.
:raises ValueError: non-1-D / NaN / Inf input, empty input, `size < 1`,
or `iterations < 0`.
Typed bridge of the 1d op `smooth_funct_1d_mean into the 2-D evolution registry: the same implementation, called under the op(v, a, b) convention. a drives size (default 3) and b drives iterations` (default 1).
• 示例数据目录(下载 URL / 许可证) —— 2-D 用 skimage.data(BSD/公有领域)加合成图,3-D 给出真实数据源(Stanford/PDS 等)的下载 URL。
• 算子来历与参考文献 —— 该算子族所依据的研究/方法出处。
下面的程序已确认可以运行(与图相同的输入)。在 Studio 帮助中,此块会变成按钮,可当场加载并运行。
img_to_signal 0.50 0.50 tb_smooth_funct_1d_mean 0.50 0.50
▸ Load this pipeline · Load & run
下面的示例调用的是底层账本算子 smooth_funct_1d_mean。此桥接算子只是把同一实现适配为 fn(v, a, b) 约定,行为完全相同(只是调用形式不同)。
• poc_weld_bead_profile — py -3.11 examples/poc_weld_bead_profile.py
• signal_funct1d — py -3.11 examples/signal_funct1d.py
signal 作为输入)identity · tb_create_funct_1d_array · tb_smooth_funct_1d_gauss · tb_derivate_funct_1d · tb_integrate_funct_1d · tb_zero_crossings_funct_1d · tb_abs_funct_1d · tb_negate_funct_1d
typed)tb_points_to_voxel · tb_estimate_point_normals · tb_iss_keypoints · tb_project_points · tb_render_point_depth · tb_statistical_outlier_removal · tb_radius_outlier_removal · tb_voxel_grid_downsample
*Provenance: ops.py — 2D 算子登记表。本条目由 tools/opdocs.py md 自动生成(请勿手工编辑)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.