JanSellner

import numpy as np


def LDA(data: np.ndarray, labels: np.ndarray) -> tuple[np.ndarray, np.ndarray, np.ndarray]:
    """
    Performs Fisher's Linear Discriminant Analysis. See https://en.wikipedia.org/wiki/Linear_discriminant_analysis#Fisher's_linear_discriminant and http://www.facweb.iitkgp.ac.in/~sudeshna/courses/ml08/lda.pdf for descriptions of the method.

    >>> data = np.array([# First class
    ...                 [1, 2],
    ...                 [1.5, 2.7],

JanSellner

from typing import Tuple


def intersection_over_union(boxA: Tuple[float, float, float, float], boxB: Tuple[float, float, float, float]) -> float:
    """Calculates the intersection of union between two rectangles/bounding boxes.

    See https://www.pyimagesearch.com/2016/11/07/intersection-over-union-iou-for-object-detection/ for more information about IOU.

    Args:
        boxA: First bounding box with coordinates in the format [xmin, ymin, xmax, ymax].

JanSellner

from timeit import default_timer


class MeasureTime(object):
    """
    Easily measure the time of a Python code block.
    >>> import time
    >>> with MeasureTime() as m:
    ...     time.sleep(1)
    Elapsed time: 0 m and 1.00 s