From 42bfd0a50ea85f625b236154849f49719726558f Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Sat, 7 Oct 2023 11:02:12 -0500
Subject: [PATCH] snapshot...
---
modules/GSOC/E2_ESRGAN/lib/train.py | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/modules/GSOC/E2_ESRGAN/lib/train.py b/modules/GSOC/E2_ESRGAN/lib/train.py
index 7467b257..e164a74d 100644
--- a/modules/GSOC/E2_ESRGAN/lib/train.py
+++ b/modules/GSOC/E2_ESRGAN/lib/train.py
@@ -14,7 +14,7 @@ logging.basicConfig(filename=str(Path.home()) + '/esrgan_log.txt', level=logging
NUM_WU_EPOCHS = 1
NUM_EPOCHS = 20
num_chans = 2
-
+PSNR_MAX = 1.0
class Trainer(object):
""" Trainer class for ESRGAN """
@@ -93,7 +93,7 @@ class Trainer(object):
fake = generator.unsigned_call(image_lr)
loss = utils.pixel_loss(image_hr, fake) * (1.0 / self.batch_size)
# loss = utils.pixel_loss_mse(image_hr, fake) * (1.0 / self.batch_size)
- psnr_metric(tf.reduce_mean(tf.image.psnr(fake, image_hr, max_val=256.0)))
+ psnr_metric(tf.reduce_mean(tf.image.psnr(fake, image_hr, max_val=PSNR_MAX)))
# gen_vars = list(set(generator.trainable_variables))
gen_vars = generator.trainable_variables
gradient = tape.gradient(loss, gen_vars)
@@ -255,7 +255,7 @@ class Trainer(object):
gen_metric(gen_loss)
gen_loss = gen_loss * (1.0 / self.batch_size)
disc_loss = disc_loss * (1.0 / self.batch_size)
- psnr_metric(tf.reduce_mean(tf.image.psnr(fake, image_hr, max_val=256.0)))
+ psnr_metric(tf.reduce_mean(tf.image.psnr(fake, image_hr, max_val=PSNR_MAX)))
disc_grad = disc_tape.gradient(disc_loss, discriminator.trainable_variables)
logging.debug("Calculated gradient for Discriminator")
--
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