def median_fltr_opencv(dem, size=3, iterations=1):
"""OpenCV median filter
"""
import cv2
dem = malib.checkma(dem)
if size > 5:
print("Need to implement iteration")
n = 0
out = dem
while n <= iterations:
dem_cv = cv2.medianBlur(out.astype(np.float32).filled(np.nan), size)
out = np.ma.fix_invalid(dem_cv)
out.set_fill_value(dem.fill_value)
n += 1
return out
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