tri3d.plot

tri3d.plot.plot_bboxes_3d(plot, transforms, sizes, c=None, *kargs, **kwargs)

Add 3D boxes to a k3d plot.

Parameters:

• plot (Plot) – k3d plot

• transform – N object local to scene coordinate transformations.

• sizes (ndarray) – N by 3 array of object sizes

• c (int | Tuple | ndarray | None) – edge colors, either as a single or per box value.

• transforms (List[Transformation])

tri3d.plot.gen_discrete_cmap(n)

Return a matplotlib discrete colormap for n classes.

tri3d.plot.to_k3d_colors(colors)

Convert RGB color triplets into int32 values.

tri3d.plot.plot_bbox_cam(transform, size, img_size, ax=None, **kwargs)

Add a 3D box to a matplotlib plot.

Parameters:

• transform (Transformation) – transformation from box local to image coordinates

• size (ndarray) – object size (length, width height)

• img_size (Tuple[int, int]) – plot size (width, height)

• kwargs – arguments forwarded to LineCollection()

tri3d.plot.auto_range(x, percentile=0.1, nticks=7, start=None, stop=None)

Propose histogram bins (start, stop, step) which best describe data.

Parameters:

• x – a list of scalar values

• percentile – percentage of edge values that can be ignored, or two values to distinguish left and right margins

• nticks – number of ticks to aim for

• start – overrides the start value from automatic range

• stop – overrides the stop value from automatic range