From e624d2ace8296e130a4fa4d2d307041798c538e0 Mon Sep 17 00:00:00 2001
From: natanielruiz <nataniel777@hotmail.com>
Date: 星期二, 19 九月 2017 12:22:56 +0800
Subject: [PATCH] next
---
code/test_preangles.py | 16 ++++++++--------
1 files changed, 8 insertions(+), 8 deletions(-)
diff --git a/code/test_preangles.py b/code/test_preangles.py
index 9899572..2cf251e 100644
--- a/code/test_preangles.py
+++ b/code/test_preangles.py
@@ -116,14 +116,14 @@
pitch_predicted = utils.softmax_temperature(pitch.data, 1)
roll_predicted = utils.softmax_temperature(roll.data, 1)
- yaw_predicted = torch.sum(yaw_predicted * idx_tensor, 1).cpu()
- pitch_predicted = torch.sum(pitch_predicted * idx_tensor, 1).cpu()
- roll_predicted = torch.sum(roll_predicted * idx_tensor, 1).cpu()
+ yaw_predicted = torch.sum(yaw_predicted * idx_tensor, 1).cpu() * 3 - 99
+ pitch_predicted = torch.sum(pitch_predicted * idx_tensor, 1).cpu() * 3 - 99
+ roll_predicted = torch.sum(roll_predicted * idx_tensor, 1).cpu() * 3 - 99
# Mean absolute error
- yaw_error += torch.sum(torch.abs(yaw_predicted * 3 - 99 - label_yaw))
- pitch_error += torch.sum(torch.abs(pitch_predicted * 3 - 99 - label_pitch))
- roll_error += torch.sum(torch.abs(roll_predicted * 3 - 99 - label_roll))
+ yaw_error += torch.sum(torch.abs(yaw_predicted - label_yaw))
+ 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
@@ -131,9 +131,9 @@
name = name[0]
cv2_img = cv2.imread(os.path.join(args.data_dir, name + '.jpg'))
if args.batch_size == 1:
- error_string = 'y %.2f, p %.2f, r %.2f' % (torch.sum(torch.abs(yaw_predicted - label_yaw) * 3), torch.sum(torch.abs(pitch_predicted - label_pitch) * 3), torch.sum(torch.abs(roll_predicted - label_roll) * 3))
+ error_string = 'y %.2f, p %.2f, r %.2f' % (torch.sum(torch.abs(yaw_predicted - label_yaw)), torch.sum(torch.abs(pitch_predicted - label_pitch)), torch.sum(torch.abs(roll_predicted - label_roll)))
cv2_img = cv2.putText(cv2_img, error_string, (30, cv2_img.shape[0]- 30), fontFace=1, fontScale=1, color=(0,0,255), thickness=1)
- utils.plot_pose_cube(cv2_img, yaw_predicted[0] * 3 - 99, pitch_predicted[0] * 3 - 99, roll_predicted[0] * 3 - 99)
+ utils.plot_pose_cube(cv2_img, yaw_predicted[0], pitch_predicted[0], roll_predicted[0])
cv2.imwrite(os.path.join('output/images', name + '.jpg'), cv2_img)
print('Test error in degrees of the model on the ' + str(total) +
--
Gitblit v1.8.0