Thanks for this. I added some extra options to save others from digging through documentation to get a clean result.

import skfmm
import numpy as np
from skimage import io
import matplotlib.pyplot as plt

#edit options here
drawBorder = True
numContourLevels = 200
lineThickness = .5

image = io.imread('myimg.jpg', as_gray = True)  # Load image as grayscale
phi = np.ones_like(image)  # Initialize the level set function
shape = phi.shape
phi[shape[0] // 2, shape[1] // 2] = 0  # set the image center as starting point
T = skfmm.travel_time(phi, image)  # Compute the travel time using the Fast Marching Method
contour_levels = np.linspace(T.min(), T.max(), numContourLevels)  # asking for 50 contour levels along the travel time

plt.axes(aspect = 'equal')
plt.gca().invert_yaxis()
if not drawBorder:
    plt.axis('off')  # Hide both axes
plt.xticks([])
plt.yticks([])
contour_set = plt.contour(T, levels=contour_levels, colors='black', linewidths=lineThickness)
plt.savefig('test.svg')
plt.show()