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Overview

This convenience function iterates through all crossing lines managed by a Crossings object and draws each one with its individual styling and count information using the crossing() function.

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Function Signature

crossings(
    image: np.ndarray
) -> np.ndarray

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Parameters

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image
np.ndarray
required
Input BGR image to annotate. Must be a 3-channel NumPy array with shape (height, width, 3). crossings_manager: Crossings manager object containing multiple crossing lines. Must have a ‘crossings’ attribute that is iterable, containing Crossing objects.

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Returns

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result
np.ndarray
The input image with all crossing lines and count annotations drawn. Same shape and dtype as input image. Image is modified in-place.

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Examples

import cv2
import pixelflow as pf

# Load image and create crossing manager
image = cv2.imread("intersection.jpg")
crossings_manager = pf.Crossings()

# Add multiple crossing lines
crossings_manager.add_crossing(

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Error Handling

This function may raise the following exceptions:
  • AttributeError: If crossings_manager lacks ‘crossings’ attribute or if individual crossing objects lack required attributes.
  • AssertionError: If image is not a NumPy array (raised by underlying crossing() calls).

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Notes

  • Each crossing line is drawn with its individual color, name, and styling
  • The function processes crossings in the order they appear in the manager
  • All crossing lines share the same adaptive sizing parameters based on image resolution
  • The input image is modified in-place for efficiency
  • This is equivalent to calling crossing() individually for each line