# boxratiostats ```{testsetup} import numpy as np from dataeval.metrics.stats import boxratiostats, dimensionstats images = np.zeros((10,1,128,96)) images = [img for img in images] images[6] = np.zeros((3,96,128)) images[9] = np.zeros((3,64,64)) bboxes = [ np.array([[ 5, 21, 24, 43], [ 7, 4, 17, 21]]), np.array([[12, 23, 28, 24]]), np.array([[13, 9, 29, 23], [17, 7, 39, 20], [ 2, 14, 9, 26]]), np.array([[18, 14, 28, 29]]), np.array([[21, 18, 44, 27], [15, 13, 28, 23]]), np.array([[13, 2, 23, 14]]), np.array([[ 4, 16, 8, 20], [16, 14, 25, 29]]), np.array([[ 1, 22, 13, 45], [12, 20, 27, 21], [16, 22, 39, 28]]), np.array([[16, 5, 30, 13]]), np.array([[ 2, 18, 11, 30], [ 9, 22, 23, 42]]) ] ``` ```{eval-rst} .. autofunction:: dataeval.metrics.stats.boxratiostats ```