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New PR about the inconsistency of numpy and matlab codes #3

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Dec 20, 2021
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New PR about the inconsistency of numpy and matlab codes #3

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4 changes: 2 additions & 2 deletions py_sod_metrics/sod_metrics.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
from scipy.ndimage import convolve
from scipy.ndimage import distance_transform_edt as bwdist

_EPS = 1e-16
_EPS = np.spacing(1) # the different implementation of epsilon (extreme min value) between numpy and matlab
_TYPE = np.float64


Expand Down Expand Up @@ -238,7 +238,7 @@ def object(self, pred: np.ndarray, gt: np.ndarray) -> float:

def s_object(self, pred: np.ndarray, gt: np.ndarray) -> float:
x = np.mean(pred[gt == 1])
sigma_x = np.std(pred[gt == 1])
sigma_x = np.std(pred[gt == 1], ddof=1)
score = 2 * x / (np.power(x, 2) + 1 + sigma_x + _EPS)
return score

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