Upload 3 files

metrics.py

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+
+import numpy as np
+import tensorflow as tf
+from tensorflow.keras import backend as K
+
+smooth = 1e-15
+def dice_coef(y_true, y_pred):
+    y_true = tf.keras.layers.Flatten()(y_true)
+    y_pred = tf.keras.layers.Flatten()(y_pred)
+    intersection = tf.reduce_sum(y_true * y_pred)
+    return (2. * intersection + smooth) / (tf.reduce_sum(y_true) + tf.reduce_sum(y_pred) + smooth)
+
+def dice_loss(y_true, y_pred):
+    return 1.0 - dice_coef(y_true, y_pred)

model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6e5e8d360f3a8491706de152a15faa88c9cb7c9152481ec4560e1bb457421b94
+size 372932920

requirements.txt

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+streamlit
+opencv-python
+matplotlib
+tensorflow==2.15.0