boilercv_pipeline.images

`boilercv_pipeline.images`#

Images.

`prepare_dataset`	Prepare a dataset from a CINE.
`assign_length_dims`	Assign length scales to “x” and “y” coordinates.
`get_length_dims`	Get a length scale.
`get_image_boundaries`	Get the boundaries of an image.
`bounded_ax`	Show only the region bounding nonzero elements of the image.
`plot_composite_da`	Compose a video-like data array and highlight the first frame.
`crop_image`	Crop an image to the specified boundaries.

boilercv_pipeline.images.prepare_dataset( cine_source: pathlib.Path, num_frames: int | None = None, start_frame: int = 0, crop: boilercv_pipeline.types.Slicer2D | None = None, ) → tuple[boilercv_pipeline.models.header.CineHeader, boilercv.types.DS]#: Prepare a dataset from a CINE.

boilercv_pipeline.images.assign_length_dims( dataset: boilercv.types.DS, roi: boilercv.types.ArrInt, ) → boilercv.types.DS#: Assign length scales to “x” and “y” coordinates.

boilercv_pipeline.images.get_length_dims( parent_dim_units: str, dim: str, long_name: str, scale: float, images: boilercv.types.DA, ) → boilercv.data.models.Dimension#: Get a length scale.

boilercv_pipeline.images.get_image_boundaries( img, ) → tuple[tuple[int, int], tuple[int, int]]#: Get the boundaries of an image.

boilercv_pipeline.images.bounded_ax( img: boilercv.types.Img, ax: matplotlib.axes.Axes | None = None, ) → collections.abc.Iterator[matplotlib.axes.Axes]#: Show only the region bounding nonzero elements of the image.

boilercv_pipeline.images.plot_composite_da( video: boilercv.types.DA, ax: matplotlib.axes.Axes | None = None, ) → matplotlib.axes.Axes#: Compose a video-like data array and highlight the first frame.

boilercv_pipeline.images.crop_image( img, ylim, xlim, )#: Crop an image to the specified boundaries.