From e65c915e5bdbcca56b37aa13bcff4911beffbe37 Mon Sep 17 00:00:00 2001
From: hyhmrright <hyhmrright@163.com>
Date: 星期五, 31 五月 2019 13:13:35 +0800
Subject: [PATCH] change py2 to py3
---
code/test_hopenet.py | 8 ++++----
1 files changed, 4 insertions(+), 4 deletions(-)
diff --git a/code/test_hopenet.py b/code/test_hopenet.py
index d4a9f5f..928c84c 100644
--- a/code/test_hopenet.py
+++ b/code/test_hopenet.py
@@ -46,12 +46,12 @@
# ResNet50 structure
model = hopenet.Hopenet(torchvision.models.resnet.Bottleneck, [3, 4, 6, 3], 66)
- print 'Loading snapshot.'
+ print('Loading snapshot.')
# Load snapshot
saved_state_dict = torch.load(snapshot_path)
model.load_state_dict(saved_state_dict)
- print 'Loading data.'
+ print('Loading data.')
transformations = transforms.Compose([transforms.Scale(224),
transforms.CenterCrop(224), transforms.ToTensor(),
@@ -74,7 +74,7 @@
elif args.dataset == 'AFW':
pose_dataset = datasets.AFW(args.data_dir, args.filename_list, transformations)
else:
- print 'Error: not a valid dataset name'
+ print('Error: not a valid dataset name')
sys.exit()
test_loader = torch.utils.data.DataLoader(dataset=pose_dataset,
batch_size=args.batch_size,
@@ -82,7 +82,7 @@
model.cuda(gpu)
- print 'Ready to test network.'
+ print('Ready to test network.')
# Test the Model
model.eval() # Change model to 'eval' mode (BN uses moving mean/var).
--
Gitblit v1.8.0