From ec44ac453f794a5368e702315addfedcea3a4299 Mon Sep 17 00:00:00 2001
From: natanielruiz <nataniel777@hotmail.com>
Date: 星期二, 19 九月 2017 06:01:47 +0800
Subject: [PATCH] Added continuous labels
---
code/batch_testing.py | 22 +++++++++++-----------
1 files changed, 11 insertions(+), 11 deletions(-)
diff --git a/code/batch_testing.py b/code/batch_testing.py
index 4a593d6..9a1d103 100644
--- a/code/batch_testing.py
+++ b/code/batch_testing.py
@@ -115,17 +115,17 @@
l1loss = torch.nn.L1Loss(size_average=False)
- for i, (images, labels, name) in enumerate(test_loader):
+ for i, (images, labels, cont_labels, name) in enumerate(test_loader):
images = Variable(images).cuda(gpu)
- total += labels.size(0)
- label_yaw = labels[:,0].float()
- label_pitch = labels[:,1].float()
- label_roll = labels[:,2].float()
+ total += cont_labels.size(0)
+ label_yaw = cont_labels[:,0].float()
+ label_pitch = cont_labels[:,1].float()
+ label_roll = cont_labels[:,2].float()
pre_yaw, pre_pitch, pre_roll, angles = model(images)
- yaw = angles[0][:,0].cpu().data
- pitch = angles[0][:,1].cpu().data
- roll = angles[0][:,2].cpu().data
+ yaw = angles[0][:,0].cpu().data * 3 - 99
+ pitch = angles[0][:,1].cpu().data * 3 - 99
+ roll = angles[0][:,2].cpu().data * 3 - 99
for idx in xrange(1,args.iter_ref+1):
yaw += angles[idx][:,0].cpu().data
@@ -133,9 +133,9 @@
roll += angles[idx][:,2].cpu().data
# Mean absolute error
- yaw_error += torch.sum(torch.abs(yaw - label_yaw) * 3)
- pitch_error += torch.sum(torch.abs(pitch - label_pitch) * 3)
- roll_error += torch.sum(torch.abs(roll - label_roll) * 3)
+ yaw_error += torch.sum(torch.abs(yaw - label_yaw))
+ pitch_error += torch.sum(torch.abs(pitch - label_pitch))
+ roll_error += torch.sum(torch.abs(roll - label_roll))
if args.save_viz:
name = name[0]
cv2_img = cv2.imread(os.path.join(args.data_dir, name + '.jpg'))
--
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