From b781badd876105f0fc0694e7c833076f6219a23e Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Mon, 23 Oct 2023 14:26:17 -0500
Subject: [PATCH] snapshot...
---
modules/util/augment.py | 44 +++++++++++++++++++++++++++++++++++++++++
1 file changed, 44 insertions(+)
diff --git a/modules/util/augment.py b/modules/util/augment.py
index 7c05cb50..9668d780 100644
--- a/modules/util/augment.py
+++ b/modules/util/augment.py
@@ -43,3 +43,47 @@ def augment_image():
partial(augment_steps_fn, data, label))
return augment_fn
+
+
+def augment_image_3arg():
+ """ Helper function used for augmentation of images in the dataset.
+ Returns:
+ tf.data.Dataset mappable function for image augmentation
+ """
+
+ def augment_fn(data, data_b, label, *args, **kwargs):
+ # Augmenting data (~ 80%)
+
+ def augment_steps_fn(data, data_b, label):
+ # Randomly rotating image (~50%)
+ def rotate_fn(data, data_b, label):
+ times = tf.random.uniform(minval=1, maxval=4, dtype=tf.int32, shape=[])
+ return (tf.image.rot90(data, times),
+ tf.image.rot90(data_b, times),
+ tf.image.rot90(label, times))
+
+ data, data_b, label = tf.cond(
+ tf.less_equal(tf.random.uniform([]), 0.5),
+ lambda: rotate_fn(data, data_b, label),
+ lambda: (data, data_b, label))
+
+ # Randomly flipping image (~50%)
+ def flip_fn(data, data_b, label):
+ return (tf.image.flip_left_right(data),
+ tf.image.flip_left_right(data_b),
+ tf.image.flip_left_right(label))
+
+ data, data_b, label = tf.cond(
+ tf.less_equal(tf.random.uniform([]), 0.5),
+ lambda: flip_fn(data, data_b, label),
+ lambda: (data, data_b, label))
+
+ return data, data_b, label
+
+ # Randomly returning unchanged data (~20%)
+ return tf.cond(
+ tf.less_equal(tf.random.uniform([]), 0.2),
+ lambda: (data, data_b, label),
+ partial(augment_steps_fn, data, data_b, label))
+
+ return augment_fn
--
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