From 93855b2faf8b795d0058c217ee980d435f23227d Mon Sep 17 00:00:00 2001
From: natanielruiz <nataniel777@hotmail.com>
Date: 星期四, 14 九月 2017 08:54:14 +0800
Subject: [PATCH] Training on AFLW with different yaw loss multipliers
---
code/test.py | 7 +++----
1 files changed, 3 insertions(+), 4 deletions(-)
diff --git a/code/test.py b/code/test.py
index 7f76714..9ff35e6 100644
--- a/code/test.py
+++ b/code/test.py
@@ -110,12 +110,11 @@
label_roll = labels[:,2].float()
pre_yaw, pre_pitch, pre_roll, angles = model(images)
- yaw = angles[args.iter_ref][:,0].cpu().data
- pitch = angles[args.iter_ref][:,1].cpu().data
- roll = angles[args.iter_ref][:,2].cpu().data
+ yaw = angles[-1][:,0].cpu().data
+ pitch = angles[-1][:,1].cpu().data
+ roll = angles[-1][:,2].cpu().data
# Mean absolute error
- print yaw.numpy(), label_yaw.numpy()
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)
--
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