From 34da38f64b51cac95475393798efe76e9f3c8aec Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Wed, 4 May 2022 23:51:19 -0400
Subject: hi

---
 hyperparameters.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index a0068dd1..71c5325a 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,7 +9,7 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 100
+num_epochs = 2000
 
 """
 A critical parameter that can dramatically affect whether training
-- 
cgit v1.2.3-70-g09d2


From 8ff6cd542e4f9594c73812b7db263bec2f2a1df7 Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Thu, 5 May 2022 00:04:40 -0400
Subject: hi

---
 hyperparameters.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index 71c5325a..801d1ce9 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,7 +9,7 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 2000
+num_epochs = 1000
 
 """
 A critical parameter that can dramatically affect whether training
-- 
cgit v1.2.3-70-g09d2


From b203623f4723d5c2ccf9146b393a04650cb1c3d0 Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Thu, 5 May 2022 00:09:36 -0400
Subject: mega

---
 hyperparameters.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index 801d1ce9..40120a53 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,7 +9,7 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 1000
+num_epochs = 10000
 
 """
 A critical parameter that can dramatically affect whether training
-- 
cgit v1.2.3-70-g09d2


From 6e5f2d1a62f4f3bf0e87829082b2120ca440ddf0 Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Thu, 5 May 2022 11:12:46 -0400
Subject: hi

---
 __pycache__/hyperparameters.cpython-38.pyc | Bin 324 -> 341 bytes
 __pycache__/losses.cpython-38.pyc          | Bin 4378 -> 4409 bytes
 hyperparameters.py                         |   2 +-
 losses.py                                  |   4 +++-
 save.jpg                                   | Bin 20991 -> 39903 bytes
 5 files changed, 4 insertions(+), 2 deletions(-)

(limited to 'hyperparameters.py')

diff --git a/__pycache__/hyperparameters.cpython-38.pyc b/__pycache__/hyperparameters.cpython-38.pyc
index 1e5b0ee5..e1a90bd4 100644
Binary files a/__pycache__/hyperparameters.cpython-38.pyc and b/__pycache__/hyperparameters.cpython-38.pyc differ
diff --git a/__pycache__/losses.cpython-38.pyc b/__pycache__/losses.cpython-38.pyc
index 1fa5462b..71b86245 100644
Binary files a/__pycache__/losses.cpython-38.pyc and b/__pycache__/losses.cpython-38.pyc differ
diff --git a/hyperparameters.py b/hyperparameters.py
index 40120a53..b03db017 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,7 +9,7 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 10000
+num_epochs = 5000
 
 """
 A critical parameter that can dramatically affect whether training
diff --git a/losses.py b/losses.py
index 7c99d73a..7198ebf4 100644
--- a/losses.py
+++ b/losses.py
@@ -11,7 +11,7 @@ class YourModel(tf.keras.Model):
        
         self.content_image = transform.resize(content_image, tf.shape(style_image), anti_aliasing=True)
         self.content_image = tf.expand_dims(self.content_image, axis=0)
-
+        
         #perhaps consider cropping to avoid distortion
         self.style_image = transform.resize(style_image, tf.shape(style_image), anti_aliasing=True)
         self.style_image = tf.expand_dims(self.style_image, axis=0)
@@ -19,6 +19,8 @@ class YourModel(tf.keras.Model):
         self.alpha = hp.alpha
         self.beta = hp.beta
 
+        print(self.x.shape)
+
         print(self.content_image.shape, self.style_image.shape)
 
         self.optimizer = tf.keras.optimizers.Adam()
diff --git a/save.jpg b/save.jpg
index c19eff65..86b5f854 100644
Binary files a/save.jpg and b/save.jpg differ
-- 
cgit v1.2.3-70-g09d2


From d802c988a57d6afe4fca979384ba377ecc7edb66 Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Fri, 6 May 2022 23:32:17 -0400
Subject: hi

---
 __pycache__/hyperparameters.cpython-38.pyc | Bin 341 -> 332 bytes
 __pycache__/losses.cpython-38.pyc          | Bin 4409 -> 4546 bytes
 hyperparameters.py                         |   6 ++---
 losses.py                                  |  37 +++++++++++++++++++++--------
 main.py                                    |  12 ++++++++--
 save.jpg                                   | Bin 39903 -> 46064 bytes
 6 files changed, 40 insertions(+), 15 deletions(-)

(limited to 'hyperparameters.py')

diff --git a/__pycache__/hyperparameters.cpython-38.pyc b/__pycache__/hyperparameters.cpython-38.pyc
index e1a90bd4..7d32eefa 100644
Binary files a/__pycache__/hyperparameters.cpython-38.pyc and b/__pycache__/hyperparameters.cpython-38.pyc differ
diff --git a/__pycache__/losses.cpython-38.pyc b/__pycache__/losses.cpython-38.pyc
index 71b86245..66e565ec 100644
Binary files a/__pycache__/losses.cpython-38.pyc and b/__pycache__/losses.cpython-38.pyc differ
diff --git a/hyperparameters.py b/hyperparameters.py
index b03db017..460543dc 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,17 +9,17 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 5000
+num_epochs = 1000
 
 """
 A critical parameter that can dramatically affect whether training
 succeeds or fails. The value for this depends significantly on which
 optimizer is used. Refer to the default learning rate parameter
 """
-learning_rate = 3e-2
+learning_rate = 1e-2
 
 momentum = 0.01
 
 alpha = 1e-2
 
-beta = 1e-5
+beta = 1e-4
diff --git a/losses.py b/losses.py
index 7198ebf4..5564ca33 100644
--- a/losses.py
+++ b/losses.py
@@ -1,8 +1,10 @@
 import tensorflow as tf
+import numpy as np
 from tensorflow.keras.layers import \
     Conv2D, AveragePooling2D
 from skimage import transform
 import hyperparameters as hp
+
 class YourModel(tf.keras.Model):
     """ Your own neural network model. """
 
@@ -11,17 +13,26 @@ class YourModel(tf.keras.Model):
        
         self.content_image = transform.resize(content_image, tf.shape(style_image), anti_aliasing=True)
         self.content_image = tf.expand_dims(self.content_image, axis=0)
+        print(self.content_image)
         
         #perhaps consider cropping to avoid distortion
         self.style_image = transform.resize(style_image, tf.shape(style_image), anti_aliasing=True)
         self.style_image = tf.expand_dims(self.style_image, axis=0)
-        self.x = tf.Variable(tf.expand_dims(tf.random.uniform(tf.shape(content_image)), axis=0), trainable=True) 
+        #self.x = tf.Variable(initial_value = self.content_image.numpy().astype(np.float32), trainable=True) 
+        self.x = tf.Variable(initial_value = np.random.rand(self.content_image.shape[0],
+        self.content_image.shape[1], self.content_image.shape[2], self.content_image.shape[3]).astype(np.float32), trainable=True) 
+
         self.alpha = hp.alpha
         self.beta = hp.beta
 
-        print(self.x.shape)
+        self.photo_layers = None
+        self.art_layers = None
+
 
-        print(self.content_image.shape, self.style_image.shape)
+
+        #(self.x.shape)
+
+        #print(self.content_image.shape, self.style_image.shape)
 
         self.optimizer = tf.keras.optimizers.Adam()
 
@@ -88,14 +99,20 @@ class YourModel(tf.keras.Model):
         return x, layers
 
     def loss_fn(self, p, a, x):
-        _, photo_layers = self.call(p)
-        _, art_layers = self.call(a)
-        _, input_layers = self.call(x)
-
-        content_l = self.content_loss(photo_layers, input_layers)
-        style_l = self.style_loss(art_layers, input_layers)
+       # print(p)
+       if(self.photo_layers == None):
+              _, self.photo_layers = self.call(p)
+       # print(a)
+       if(self.art_layers == None): 
+              _, self.art_layers = self.call(a)
+       # print(x) 
+       _, input_layers = self.call(x)
+         
+
+       content_l = self.content_loss(self.photo_layers, input_layers)
+       style_l = self.style_loss(self.art_layers, input_layers)
         # Equation 7
-        return (self.alpha * content_l) + (self.beta * style_l)
+       return (self.alpha * content_l) + (self.beta * style_l)
         
     def content_loss(self, photo_layers, input_layers):
         L_content = tf.constant(0.0)
diff --git a/main.py b/main.py
index 60574e63..a074f71d 100644
--- a/main.py
+++ b/main.py
@@ -1,7 +1,9 @@
 import os
 import sys
 import argparse
+import cv2
 import tensorflow as tf
+from skimage import transform
 
 import hyperparameters as hp
 from losses import YourModel
@@ -50,9 +52,15 @@ def main():
     print('this is',ARGS.content)
 
     content_image = imread(ARGS.content)
-    content_image = np.resize(content_image, (255, 255, 3))
+   
+    
     style_image = imread(ARGS.style)
-    style_image = np.resize(style_image, (255, 255, 3))
+    cv2.imshow('hi1', style_image)
+    cv2.waitKey(0)
+    
+    style_image = transform.resize(style_image, content_image.shape)
+    cv2.imshow('hi2', style_image)
+    cv2.waitKey(0)
     my_model = YourModel(content_image=content_image, style_image=style_image)
     my_model.vgg16.build([1, 255, 255, 3])
     my_model.vgg16.load_weights('vgg16_imagenet.h5', by_name=True)
diff --git a/save.jpg b/save.jpg
index 86b5f854..f4f49d6e 100644
Binary files a/save.jpg and b/save.jpg differ
-- 
cgit v1.2.3-70-g09d2


From 1da66023ea97b5c036a97a319843cea7c334af93 Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Fri, 6 May 2022 23:41:18 -0400
Subject: hi

---
 hyperparameters.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index 460543dc..70ad7577 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,7 +9,7 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 1000
+num_epochs = 3000
 
 """
 A critical parameter that can dramatically affect whether training
-- 
cgit v1.2.3-70-g09d2


From d758fd450ed2d6ba0086fe3c2cb355829af1b828 Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Fri, 6 May 2022 23:50:58 -0400
Subject: hi

---
 hyperparameters.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index 70ad7577..73f4b497 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,7 +9,7 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 3000
+num_epochs = 5000
 
 """
 A critical parameter that can dramatically affect whether training
-- 
cgit v1.2.3-70-g09d2


From 10f2ece4ab4d8df526c5ff77958b25fe6f32344d Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 08:12:20 -0400
Subject: hi

---
 __pycache__/hyperparameters.cpython-38.pyc | Bin 315 -> 341 bytes
 __pycache__/losses.cpython-38.pyc          | Bin 4529 -> 4610 bytes
 hyperparameters.py                         |   6 +++---
 losses.py                                  |   6 ++++--
 save.jpg                                   | Bin 22251 -> 25059 bytes
 5 files changed, 7 insertions(+), 5 deletions(-)

(limited to 'hyperparameters.py')

diff --git a/__pycache__/hyperparameters.cpython-38.pyc b/__pycache__/hyperparameters.cpython-38.pyc
index 99d18197..40cba873 100644
Binary files a/__pycache__/hyperparameters.cpython-38.pyc and b/__pycache__/hyperparameters.cpython-38.pyc differ
diff --git a/__pycache__/losses.cpython-38.pyc b/__pycache__/losses.cpython-38.pyc
index a642b379..ff01b5a7 100644
Binary files a/__pycache__/losses.cpython-38.pyc and b/__pycache__/losses.cpython-38.pyc differ
diff --git a/hyperparameters.py b/hyperparameters.py
index 73f4b497..fedd4dd7 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,7 +9,7 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 5000
+num_epochs = 150
 
 """
 A critical parameter that can dramatically affect whether training
@@ -20,6 +20,6 @@ learning_rate = 1e-2
 
 momentum = 0.01
 
-alpha = 1e-2
+alpha = 1e1
 
-beta = 1e-4
+beta = 1e2
diff --git a/losses.py b/losses.py
index 5564ca33..4c7b5750 100644
--- a/losses.py
+++ b/losses.py
@@ -34,7 +34,7 @@ class YourModel(tf.keras.Model):
 
         #print(self.content_image.shape, self.style_image.shape)
 
-        self.optimizer = tf.keras.optimizers.Adam()
+        self.optimizer = tf.keras.optimizers.Adam(1e-2)
 
         self.vgg16 = [
             # Block 1
@@ -112,6 +112,8 @@ class YourModel(tf.keras.Model):
        content_l = self.content_loss(self.photo_layers, input_layers)
        style_l = self.style_loss(self.art_layers, input_layers)
         # Equation 7
+       print('style_loss', style_l) 
+       print('content_loss', content_l) 
        return (self.alpha * content_l) + (self.beta * style_l)
         
     def content_loss(self, photo_layers, input_layers):
@@ -164,7 +166,7 @@ class YourModel(tf.keras.Model):
         for i in range(len(art_layers)):
             art_layer = art_layers[i]
             input_layer = input_layers[i]
-            L_style = tf.math.add(L_style, self.layer_loss(art_layer, input_layer))
+            L_style = tf.math.add(L_style, self.layer_loss(art_layer, input_layer)*(1/5))
         #print('style loss', L_style)
         return L_style
             
diff --git a/save.jpg b/save.jpg
index 5a6d6522..a77ce43c 100644
Binary files a/save.jpg and b/save.jpg differ
-- 
cgit v1.2.3-70-g09d2


From e7150a281f23175fd289e3e3050db44717df3a4a Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 08:35:31 -0400
Subject: hi

---
 __pycache__/hyperparameters.cpython-38.pyc | Bin 341 -> 341 bytes
 __pycache__/losses.cpython-38.pyc          | Bin 4610 -> 4599 bytes
 hyperparameters.py                         |   6 +++---
 losses.py                                  |   2 +-
 save.jpg                                   | Bin 25059 -> 46187 bytes
 5 files changed, 4 insertions(+), 4 deletions(-)

(limited to 'hyperparameters.py')

diff --git a/__pycache__/hyperparameters.cpython-38.pyc b/__pycache__/hyperparameters.cpython-38.pyc
index 40cba873..d0ec2a3e 100644
Binary files a/__pycache__/hyperparameters.cpython-38.pyc and b/__pycache__/hyperparameters.cpython-38.pyc differ
diff --git a/__pycache__/losses.cpython-38.pyc b/__pycache__/losses.cpython-38.pyc
index ff01b5a7..9cd2e604 100644
Binary files a/__pycache__/losses.cpython-38.pyc and b/__pycache__/losses.cpython-38.pyc differ
diff --git a/hyperparameters.py b/hyperparameters.py
index fedd4dd7..75d58118 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,7 +9,7 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 150
+num_epochs = 1000
 
 """
 A critical parameter that can dramatically affect whether training
@@ -20,6 +20,6 @@ learning_rate = 1e-2
 
 momentum = 0.01
 
-alpha = 1e1
+alpha = 1e-3
 
-beta = 1e2
+beta = 1e-1
diff --git a/losses.py b/losses.py
index 4c7b5750..eba94c36 100644
--- a/losses.py
+++ b/losses.py
@@ -34,7 +34,7 @@ class YourModel(tf.keras.Model):
 
         #print(self.content_image.shape, self.style_image.shape)
 
-        self.optimizer = tf.keras.optimizers.Adam(1e-2)
+        self.optimizer = tf.keras.optimizers.Adam()
 
         self.vgg16 = [
             # Block 1
diff --git a/save.jpg b/save.jpg
index a77ce43c..a3bc2d80 100644
Binary files a/save.jpg and b/save.jpg differ
-- 
cgit v1.2.3-70-g09d2


From 2b9c0ee6cdf8a2ca5bde047c2192b7a02e3e5a30 Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 08:41:22 -0400
Subject: hi

---
 hyperparameters.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index 75d58118..7e4da417 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -20,6 +20,6 @@ learning_rate = 1e-2
 
 momentum = 0.01
 
-alpha = 1e-3
+alpha = 1e-2
 
 beta = 1e-1
-- 
cgit v1.2.3-70-g09d2


From 6973d4b62013ef541e674a33fe7bf483f1e6f2ee Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 08:45:29 -0400
Subject: hi

---
 hyperparameters.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index 7e4da417..4fa563df 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,7 +9,7 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 1000
+num_epochs = 10000
 
 """
 A critical parameter that can dramatically affect whether training
-- 
cgit v1.2.3-70-g09d2


From e1a8c82606afce6d34d7ed858ee625c291dd4685 Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 09:05:55 -0400
Subject: hi

---
 hyperparameters.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index 4fa563df..5e98267a 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,7 +9,7 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 10000
+num_epochs = 2500
 
 """
 A critical parameter that can dramatically affect whether training
-- 
cgit v1.2.3-70-g09d2


From 590f0c2a57310e52871fe6517275984c466c6c34 Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 09:14:32 -0400
Subject: hi

---
 hyperparameters.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index 5e98267a..d09e6623 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,7 +9,7 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 2500
+num_epochs = 5000
 
 """
 A critical parameter that can dramatically affect whether training
-- 
cgit v1.2.3-70-g09d2


From 8de640d7e79ed448fe483dd455be897c9bdaa9d7 Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 10:00:28 -0400
Subject: hi

---
 __pycache__/hyperparameters.cpython-38.pyc | Bin 315 -> 332 bytes
 __pycache__/losses.cpython-38.pyc          | Bin 4582 -> 4599 bytes
 hyperparameters.py                         |   2 +-
 3 files changed, 1 insertion(+), 1 deletion(-)

(limited to 'hyperparameters.py')

diff --git a/__pycache__/hyperparameters.cpython-38.pyc b/__pycache__/hyperparameters.cpython-38.pyc
index 5e563f46..f1b885e8 100644
Binary files a/__pycache__/hyperparameters.cpython-38.pyc and b/__pycache__/hyperparameters.cpython-38.pyc differ
diff --git a/__pycache__/losses.cpython-38.pyc b/__pycache__/losses.cpython-38.pyc
index fd07d03c..9cd2e604 100644
Binary files a/__pycache__/losses.cpython-38.pyc and b/__pycache__/losses.cpython-38.pyc differ
diff --git a/hyperparameters.py b/hyperparameters.py
index d09e6623..337064bd 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,7 +9,7 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 5000
+num_epochs = 3000
 
 """
 A critical parameter that can dramatically affect whether training
-- 
cgit v1.2.3-70-g09d2


From 97da9dd646158e6d029833449b7f201486165ce1 Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 10:22:28 -0400
Subject: hi

---
 hyperparameters.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index 337064bd..9128dc27 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -22,4 +22,4 @@ momentum = 0.01
 
 alpha = 1e-2
 
-beta = 1e-1
+beta = 5e-1
-- 
cgit v1.2.3-70-g09d2


From b674ade7012b0826dfafb7906ab9828527df1fc7 Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 10:32:23 -0400
Subject: hi

---
 hyperparameters.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index 9128dc27..308522d7 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,7 +9,7 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 3000
+num_epochs = 4000
 
 """
 A critical parameter that can dramatically affect whether training
-- 
cgit v1.2.3-70-g09d2


From 08558c7fd96038cd7209d1562e0b1af50aa34917 Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 10:52:43 -0400
Subject: hi

---
 hyperparameters.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index 308522d7..d5eb2f47 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,7 +9,7 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 4000
+num_epochs = 5000
 
 """
 A critical parameter that can dramatically affect whether training
-- 
cgit v1.2.3-70-g09d2


From 96b69eac697100499e54c8ac18c10313bd460f3b Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 11:21:54 -0400
Subject: hi

---
 hyperparameters.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index d5eb2f47..594368f7 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,7 +9,7 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 5000
+num_epochs = 2000
 
 """
 A critical parameter that can dramatically affect whether training
@@ -22,4 +22,4 @@ momentum = 0.01
 
 alpha = 1e-2
 
-beta = 5e-1
+beta = 7e-1
-- 
cgit v1.2.3-70-g09d2


From 677431e27153473c264c42a99c3374a0d0747c73 Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 11:39:36 -0400
Subject: hi

---
 hyperparameters.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index 594368f7..2b1f0d2f 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,7 +9,7 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 2000
+num_epochs = 4000
 
 """
 A critical parameter that can dramatically affect whether training
-- 
cgit v1.2.3-70-g09d2


From 761298c2dfba6bfcc44cc7bf3d15b4704feee1d0 Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 12:13:44 -0400
Subject: hi

---
 hyperparameters.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index 2b1f0d2f..a691a3ac 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -22,4 +22,4 @@ momentum = 0.01
 
 alpha = 1e-2
 
-beta = 7e-1
+beta = 1e0
-- 
cgit v1.2.3-70-g09d2


From ee00602bb385e815b856bb2ef2f85e467d89ad2e Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 12:25:30 -0400
Subject: hi

---
 hyperparameters.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index a691a3ac..f87b92c6 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -22,4 +22,4 @@ momentum = 0.01
 
 alpha = 1e-2
 
-beta = 1e0
+beta = 1e1
-- 
cgit v1.2.3-70-g09d2


From c073b01a935900abd8357a3005bbfe8bdce266fc Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 12:39:17 -0400
Subject: hi

---
 hyperparameters.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index f87b92c6..d68e26d1 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,7 +9,7 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 4000
+num_epochs = 5000
 
 """
 A critical parameter that can dramatically affect whether training
@@ -22,4 +22,4 @@ momentum = 0.01
 
 alpha = 1e-2
 
-beta = 1e1
+beta = 5e1
-- 
cgit v1.2.3-70-g09d2


From 6c68b1b36e0858b96656551695f62d2b556529ca Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 12:53:27 -0400
Subject: hi

---
 hyperparameters.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index d68e26d1..e1b8ca75 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,7 +9,7 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 5000
+num_epochs = 10000
 
 """
 A critical parameter that can dramatically affect whether training
-- 
cgit v1.2.3-70-g09d2


From 5dc4bbaf666f27f0f19e3cff0991bd66071182f0 Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 13:21:04 -0400
Subject: hi

---
 hyperparameters.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index e1b8ca75..80141fcf 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,7 +9,7 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 10000
+num_epochs = 20000
 
 """
 A critical parameter that can dramatically affect whether training
-- 
cgit v1.2.3-70-g09d2


From 1b54bfa9de44f29ca2046d1eeb0ab174ae0dadbd Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 14:16:42 -0400
Subject: hi

---
 hyperparameters.py | 4 ++--
 losses.py          | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index 80141fcf..6c82a745 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,14 +9,14 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 20000
+num_epochs = 7000
 
 """
 A critical parameter that can dramatically affect whether training
 succeeds or fails. The value for this depends significantly on which
 optimizer is used. Refer to the default learning rate parameter
 """
-learning_rate = 1e-2
+learning_rate = 2e-3
 
 momentum = 0.01
 
diff --git a/losses.py b/losses.py
index eba94c36..f08a734c 100644
--- a/losses.py
+++ b/losses.py
@@ -34,7 +34,7 @@ class YourModel(tf.keras.Model):
 
         #print(self.content_image.shape, self.style_image.shape)
 
-        self.optimizer = tf.keras.optimizers.Adam()
+        self.optimizer = tf.keras.optimizers.Adam(hp.learning_rate)
 
         self.vgg16 = [
             # Block 1
-- 
cgit v1.2.3-70-g09d2


From 26c962e42ca990f741c3667924543265fc38492f Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 14:42:18 -0400
Subject: hi

---
 hyperparameters.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index 6c82a745..4760afe4 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -16,10 +16,10 @@ A critical parameter that can dramatically affect whether training
 succeeds or fails. The value for this depends significantly on which
 optimizer is used. Refer to the default learning rate parameter
 """
-learning_rate = 2e-3
+learning_rate = 4e-3
 
 momentum = 0.01
 
 alpha = 1e-2
 
-beta = 5e1
+beta = 1e2
-- 
cgit v1.2.3-70-g09d2


From 0832fee98ab118402a52af605bf53d0f5129996e Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 14:45:55 -0400
Subject: hi

---
 hyperparameters.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index 4760afe4..ec424dfa 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,7 +9,7 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 7000
+num_epochs = 5000
 
 """
 A critical parameter that can dramatically affect whether training
-- 
cgit v1.2.3-70-g09d2


From f46f67c74b19c1db98b30e3f03c166f043079587 Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 15:03:42 -0400
Subject: hi

---
 hyperparameters.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index ec424dfa..6c82a745 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,17 +9,17 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 5000
+num_epochs = 7000
 
 """
 A critical parameter that can dramatically affect whether training
 succeeds or fails. The value for this depends significantly on which
 optimizer is used. Refer to the default learning rate parameter
 """
-learning_rate = 4e-3
+learning_rate = 2e-3
 
 momentum = 0.01
 
 alpha = 1e-2
 
-beta = 1e2
+beta = 5e1
-- 
cgit v1.2.3-70-g09d2


From 00991837cc0bbb62b98ab3024ea795a18cf2dde8 Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 15:58:27 -0400
Subject: hi

---
 data/content.jpeg  | Bin 0 -> 68587 bytes
 data/style.jpeg    | Bin 0 -> 65581 bytes
 hyperparameters.py |   4 ++--
 3 files changed, 2 insertions(+), 2 deletions(-)
 create mode 100644 data/content.jpeg
 create mode 100644 data/style.jpeg

(limited to 'hyperparameters.py')

diff --git a/data/content.jpeg b/data/content.jpeg
new file mode 100644
index 00000000..398d20ea
Binary files /dev/null and b/data/content.jpeg differ
diff --git a/data/style.jpeg b/data/style.jpeg
new file mode 100644
index 00000000..0c4015df
Binary files /dev/null and b/data/style.jpeg differ
diff --git a/hyperparameters.py b/hyperparameters.py
index 6c82a745..a15d04ac 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,14 +9,14 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 7000
+num_epochs = 10000
 
 """
 A critical parameter that can dramatically affect whether training
 succeeds or fails. The value for this depends significantly on which
 optimizer is used. Refer to the default learning rate parameter
 """
-learning_rate = 2e-3
+learning_rate = .002
 
 momentum = 0.01
 
-- 
cgit v1.2.3-70-g09d2