From 4b67b5c8ed5566ec3030d537536282e830d87e40 Mon Sep 17 00:00:00 2001
From: natanielruiz <nruiz9@gatech.edu>
Date: 星期一, 30 十月 2017 07:15:49 +0800
Subject: [PATCH] next
---
code/test_preangles.py | 10 +++++++---
1 files changed, 7 insertions(+), 3 deletions(-)
diff --git a/code/test_preangles.py b/code/test_preangles.py
index 3d70bb0..d4a9f5f 100644
--- a/code/test_preangles.py
+++ b/code/test_preangles.py
@@ -63,6 +63,8 @@
pose_dataset = datasets.Pose_300W_LP_random_ds(args.data_dir, args.filename_list, transformations)
elif args.dataset == 'AFLW2000':
pose_dataset = datasets.AFLW2000(args.data_dir, args.filename_list, transformations)
+ elif args.dataset == 'AFLW2000_ds':
+ pose_dataset = datasets.AFLW2000_ds(args.data_dir, args.filename_list, transformations)
elif args.dataset == 'BIWI':
pose_dataset = datasets.BIWI(args.data_dir, args.filename_list, transformations)
elif args.dataset == 'AFLW':
@@ -86,6 +88,9 @@
model.eval() # Change model to 'eval' mode (BN uses moving mean/var).
total = 0
+ idx_tensor = [idx for idx in xrange(66)]
+ idx_tensor = torch.FloatTensor(idx_tensor).cuda(gpu)
+
yaw_error = .0
pitch_error = .0
roll_error = .0
@@ -100,7 +105,7 @@
label_pitch = cont_labels[:,1].float()
label_roll = cont_labels[:,2].float()
- yaw, pitch, roll, angles = model(images)
+ yaw, pitch, roll = model(images)
# Binned predictions
_, yaw_bpred = torch.max(yaw.data, 1)
@@ -121,8 +126,7 @@
pitch_error += torch.sum(torch.abs(pitch_predicted - label_pitch))
roll_error += torch.sum(torch.abs(roll_predicted - label_roll))
- # Save images with pose cube.
- # TODO: fix for larger batch size
+ # Save first image in batch with pose cube or axis.
if args.save_viz:
name = name[0]
if args.dataset == 'BIWI':
--
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