Farhan Rasheed farhanone
ilmonteux
/ segmentation_metrics.py
Last active
January 18, 2023 22:41
Semantic segmentation metrics in Keras and Numpy. IoU, Dice in both soft and hard variants. Mean metrics for multiclass prediction. See https://ilmonteux.github.io/2019/05/10/segmentation-metrics.html for discussion
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| import numpy as np | |
| import keras.backend as K | |
| import tensorflow as tf | |
| def metrics_np(y_true, y_pred, metric_name, metric_type='standard', drop_last = True, mean_per_class=False, verbose=False): | |
| """ | |
| Compute mean metrics of two segmentation masks, via numpy. | |
| IoU(A,B) = |A & B| / (| A U B|) | |
| Dice(A,B) = 2*|A & B| / (|A| + |B|) |