From 6f71fb102f509d705d3abaa1f44638a19f57e92e Mon Sep 17 00:00:00 2001
From: natanielruiz <nataniel777@hotmail.com>
Date: 星期一, 07 八月 2017 05:15:52 +0800
Subject: [PATCH] next
---
code/test_resnet_bins.py | 8 +++-----
1 files changed, 3 insertions(+), 5 deletions(-)
diff --git a/code/test_resnet_bins.py b/code/test_resnet_bins.py
index 8d0eaec..cfc3dc5 100644
--- a/code/test_resnet_bins.py
+++ b/code/test_resnet_bins.py
@@ -47,8 +47,8 @@
snapshot_path = os.path.join('output/snapshots', args.snapshot + '.pkl')
# ResNet50 with 3 outputs.
- model = hopenet.Hopenet(torchvision.models.resnet.Bottleneck, [3, 4, 6, 3], 66)
- # model = hopenet.Hopenet(torchvision.models.resnet.BasicBlock, [2, 2, 2, 2], 66)
+ # model = hopenet.Hopenet(torchvision.models.resnet.Bottleneck, [3, 4, 6, 3], 66)
+ model = hopenet.Hopenet(torchvision.models.resnet.BasicBlock, [2, 2, 2, 2], 66)
print 'Loading snapshot.'
# Load snapshot
@@ -87,7 +87,6 @@
for i, (images, labels, name) in enumerate(test_loader):
images = Variable(images).cuda(gpu)
-
total += labels.size(0)
label_yaw = labels[:,0]
label_pitch = labels[:,1]
@@ -126,8 +125,7 @@
if args.save_viz:
name = name[0]
cv2_img = cv2.imread(os.path.join(args.data_dir, name + '.jpg'))
- #cv2_img = cv2.cvtColor(cv2_img, cv2.COLOR_RGB2BGR)
- #print name
+ #print os.path.join('output/images', name + '.jpg')
#print label_yaw[0] * 3 - 99, label_pitch[0] * 3 - 99, label_roll[0] * 3 - 99
#print yaw_predicted * 3 - 99, pitch_predicted * 3 - 99, roll_predicted * 3 - 99
utils.plot_pose_cube(cv2_img, yaw_predicted * 3 - 99, pitch_predicted * 3 - 99, roll_predicted * 3 - 99)
--
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