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authorDavid Doan <daviddoan@davids-mbp-3.devices.brown.edu>2022-05-07 17:37:47 -0400
committerDavid Doan <daviddoan@davids-mbp-3.devices.brown.edu>2022-05-07 17:37:47 -0400
commit228d83a47b6c6eb1d0c01b85761a8f6e1db48c1d (patch)
tree5b1ae18c8b5e1ae1392c7760e2e741f8eb6e778e /main.py
parent46a7929942f90d960a0a4d6e35251c900bd45fb2 (diff)
parent00991837cc0bbb62b98ab3024ea795a18cf2dde8 (diff)
testing
Diffstat (limited to 'main.py')
-rw-r--r--main.py7
1 files changed, 5 insertions, 2 deletions
diff --git a/main.py b/main.py
index b7d9a1e0..2d8c216a 100644
--- a/main.py
+++ b/main.py
@@ -1,7 +1,9 @@
import os
import sys
import argparse
+
import tensorflow as tf
+from skimage import transform
import hyperparameters as hp
from losses import YourModel
@@ -37,7 +39,8 @@ def parse_args():
return parser.parse_args()
def train(model):
- for _ in range(hp.num_epochs):
+ for i in range(hp.num_epochs):
+ print('batch', i)
model.train_step()
def main():
@@ -51,7 +54,7 @@ def main():
content_image = imread(ARGS.content)
style_image = imread(ARGS.style)
- style_image = transform.resize(style_image, content_image.shape)
+ style_image = transform.resize(style_image, content_image.shape).astype('uint8')
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)