18 lines
709 B
Python
18 lines
709 B
Python
import torch
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def fscore(dist1, dist2, threshold=0.001):
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"""
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Calculates the F-score between two point clouds with the corresponding threshold value.
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:param dist1: Batch, N-Points
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:param dist2: Batch, N-Points
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:param th: float
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:return: fscore, precision, recall
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"""
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# NB : In this depo, dist1 and dist2 are squared pointcloud euclidean distances, so you should adapt the threshold accordingly.
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precision_1 = torch.mean((dist1 < threshold).float(), dim=1)
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precision_2 = torch.mean((dist2 < threshold).float(), dim=1)
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fscore = 2 * precision_1 * precision_2 / (precision_1 + precision_2)
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fscore[torch.isnan(fscore)] = 0
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return fscore, precision_1, precision_2
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