tlc.core.helpers.segmentation_helper

Module Contents

Classes

Class

Description

SegmentationHelper

Helper class for segmentation operations.

API

class SegmentationHelper

Helper class for segmentation operations.

static empty_rle(
height: int,
width: int,
) → CocoRle

Create an empty RLE mask with the given dimensions.

Parameters:

  • height – Height of the mask

  • width – Width of the mask

Returns:

An empty RLE mask dictionary with ‘counts’ and ‘size’ fields

static mask_from_rle(
rle: dict[str, list[int] | bytes],
) → ndarray

Convert an RLE mask to a numpy array.

Parameters:

rle – The RLE mask to convert

Returns:

A numpy array of shape (H, W, N) containing N binary masks

static masks_from_rles(
rles: list[CocoRle],
) → ndarray

Convert multiple RLE masks to a numpy array.

Parameters:

rles – List of RLE dictionaries with ‘counts’ and ‘size’ fields

Returns:

A numpy array of shape (H, W, N) containing N binary masks

static mask_from_polygons(
polygons: list[list[float]],
height: int,
width: int,
relative: bool = False,
) → ndarray

Convert a list of polygons to a numpy array.

Parameters:

  • polygons – The list of polygons to convert

  • height – The height of the image

  • width – The width of the image

  • relative – Whether the polygons are relative to the image size

Returns:

A numpy array of shape (H, W, N) containing N binary masks

static polygons_from_mask(
mask: ndarray,
relative: bool = False,
) → list[float]

Convert a binary mask to a list of polygons using OpenCV contour detection.

Parameters:

  • mask – The binary mask to convert

  • relative – Whether to return polygons with coordinates relative to image dimensions

Returns:

List of polygons where each polygon is a flattened list of x,y coordinates

static polygons_from_rles(
rles: list[CocoRle],
relative: bool = False,
) → list[list[float]]

Convert a list of RLE encoded masks to polygons.

Parameters:

  • rles – List of RLE dictionaries with ‘counts’ and ‘size’ fields

  • relative – Whether to return polygons with coordinates relative to image dimensions

Returns:

List of polygons where each polygon is a flattened list of x,y coordinates

static rles_from_polygons(
polygons: list[list[float]],
height: int,
width: int,
relative: bool = False,
) → list[CocoRle]

Convert a list of polygons to RLE format.

Parameters:

  • polygons – The list of polygons to convert

  • height – The height of the image

  • width – The width of the image

  • relative – Whether the polygons are relative to the image size

Returns:

List of RLE dictionaries with ‘counts’ and ‘size’ fields

static rles_from_masks(
masks: ndarray,
) → list[CocoRle]

Convert a stack of binary masks to RLE format.

Parameters:

masks – A numpy array of shape (H, W, N) containing N binary masks

Returns:

List of RLE dictionaries with ‘counts’ and ‘size’ fields

static bbox_from_rle(
rle: CocoRle,
) → list[float]

Convert an RLE mask to a bounding box.

Parameters:

rle – The RLE mask to convert

Returns:

A list of bounding box coordinates [x1, y1, x2, y2]