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DataEval documentation

dataeval.utils.preprocessing

dataeval.utils.preprocessing¶

Utility functions for preprocessing images and bounding boxes.

Attributes¶

`FloatBox`	Bounding box as tuple of floats in xyxy format.
`IntBox`	Bounding box as tuple of integers in xyxy format.

Classes¶

`BitDepth`	Dataclass representing image bit depth information.
`BoundingBox`	A bounding box representation that supports multiple coordinate formats.
`BoundingBoxFormat`	Supported bounding box coordinate formats.

Functions¶

`clip_box`	Clip the box to inside the provided image dimensions.
`compute_iou`	Compute Intersection over Union (IoU) between two sets of boxes.
`crop_with_fill`	Extract a window from an image into an output of the window’s size, filling out-of-bounds pixels with `fill`.
`edge_filter`	Return the image filtered using a 3x3 edge detection kernel.
`get_bitdepth`	Approximates the bit depth of the image using the min and max pixel values.
`is_valid_box`	Check if the box dimensions provided are valid (non-empty).
`normalize_image_shape`	Normalize the image shape into (C,H,W) format.
`rescale`	Rescales the image using the bit depth provided.
`resize`	Resizes a grayscale (HxW) 8-bit image using PIL or scipy.ndimage.zoom.
`to_bounding_box`	Convert a box-like input to a BoundingBox instance.
`to_canonical_grayscale`	Convert an image of arbitrary channels (CHW) to a single-channel uint8 grayscale image (HW).
`to_int_box`	Convert a bounding box from float to int format.

Module Contents¶

dataeval.utils.preprocessing.FloatBox¶: Bounding box as tuple of floats in xyxy format.

dataeval.utils.preprocessing.IntBox¶: Bounding box as tuple of integers in xyxy format.