From c495a0f6b13b794bab9f6e3423d5038ce645d816 Mon Sep 17 00:00:00 2001
From: natanielruiz <nataniel777@hotmail.com>
Date: 星期三, 13 九月 2017 21:12:59 +0800
Subject: [PATCH] Batch testing and hopenet training complete
---
code/test.py | 9 +++++----
1 files changed, 5 insertions(+), 4 deletions(-)
diff --git a/code/test.py b/code/test.py
index b01d07e..ca7a820 100644
--- a/code/test.py
+++ b/code/test.py
@@ -33,6 +33,7 @@
default=1, type=int)
parser.add_argument('--save_viz', dest='save_viz', help='Save images with pose cube.',
default=False, type=bool)
+ parser.add_argument('--iter_ref', dest='iter_ref', default=1, type=int)
args = parser.parse_args()
@@ -48,7 +49,7 @@
# ResNet101 with 3 outputs.
# model = hopenet.Hopenet(torchvision.models.resnet.Bottleneck, [3, 4, 23, 3], 66)
# ResNet50
- model = hopenet.Hopenet(torchvision.models.resnet.Bottleneck, [3, 4, 6, 3], 66)
+ model = hopenet.Hopenet(torchvision.models.resnet.Bottleneck, [3, 4, 6, 3], 66, args.iter_ref)
# ResNet18
# model = hopenet.Hopenet(torchvision.models.resnet.BasicBlock, [2, 2, 2, 2], 66)
@@ -98,9 +99,9 @@
label_roll = 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[args.iter_ref-1][:,0].cpu().data
+ pitch = angles[args.iter_ref-1][:,1].cpu().data
+ roll = angles[args.iter_ref-1][:,2].cpu().data
# Mean absolute error
yaw_error += torch.sum(torch.abs(yaw - label_yaw) * 3)
--
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