OpenCV - skimage corner detection comparison

gistfile1.py

from skimage.feature import peak_local_max
from skimage.feature.corner import corner_harris, corner_subpix, corner_foerstner
from skimage import data
from skimage.io import imsave
from skimage.util import img_as_float, img_as_ubyte
from skimage.color import rgb2gray
import pylab as plt
import numpy as np
import cv2

img = data.checkerboard()

harris = corner_harris(img)
coords_cv = cv2.goodFeaturesToTrack(img, maxCorners=49, qualityLevel=0.1, minDistance=20)
cv2.cornerSubPix(img, coords_cv, (11, 11), (-1, -1), (cv2.TERM_CRITERIA_MAX_ITER | cv2.TERM_CRITERIA_EPS, 20, 0.01))
coords = peak_local_max(harris, min_distance=20, num_peaks=49)
corners_subpix = corner_subpix(img, coords)

plt.gray()
plt.imshow(img, interpolation='nearest')
plt.plot(corners_subpix[:, 1], corners_subpix[:, 0], '+r')
plt.plot(coords_cv[:, 0, 1], coords_cv[:, 0, 0], '+b')
plt.show()