Closed hippke closed 2 years ago
Parameter N=R with 1= no supersampling, 5 = some supersampling etc.
a = np.array([1.,2,6,2,1,7]) R = 3 a.reshape(-1, R).mean(axis=1)
Implemented and tested supersampling_factor = 1 is default Figure is in paper Effect is very small Speed penalty is linear with supersampling_factor
Parameter N=R with 1= no supersampling, 5 = some supersampling etc.