You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I'm wondering about if the logic of contrasting different seasons work if the seasons are actually the same season.
In seco_dataset.py line 127
t0, t1, t2 = [read_image(path, self.bands, QUANTILES) for path in np.random.choice(sorted_paths, 3)]
but the default parameters of np.random.choice() are random.choice(a, size=None, replace=True, p=None), so it will choose with replacements by default. I was wondering if it would make more sense to use replace = False instead?
t0, t1, t2 = [read_image(path, self.bands, QUANTILES) for path in np.random.choice(sorted_paths, 3, replace = False)]
Otherwise, I would expect that the network would be posed with an impossible task of contrasting seasons which are actually the same season. What do you think?
The text was updated successfully, but these errors were encountered:
Hi there,
I'm wondering about if the logic of contrasting different seasons work if the seasons are actually the same season.
In seco_dataset.py line 127
but the default parameters of np.random.choice() are random.choice(a, size=None, replace=True, p=None), so it will choose with replacements by default. I was wondering if it would make more sense to use replace = False instead?
Otherwise, I would expect that the network would be posed with an impossible task of contrasting seasons which are actually the same season. What do you think?
The text was updated successfully, but these errors were encountered: