From 43416c4717d2430c3e11f042294d12b781fee2e1 Mon Sep 17 00:00:00 2001
From: natanielruiz <nataniel777@hotmail.com>
Date: 星期三, 27 九月 2017 04:09:30 +0800
Subject: [PATCH] Failed lstm experiment
---
code/test_resnet50_regression_extreme.py | 29 +++++++++++++----------------
1 files changed, 13 insertions(+), 16 deletions(-)
diff --git a/code/test_resnet50_regression_extreme.py b/code/test_resnet50_regression_extreme.py
index 656cda5..8f6dac1 100644
--- a/code/test_resnet50_regression_extreme.py
+++ b/code/test_resnet50_regression_extreme.py
@@ -35,7 +35,7 @@
default=False, type=bool)
parser.add_argument('--dataset', dest='dataset', help='Dataset type.', default='AFLW2000', type=str)
parser.add_argument('--min_yaw', dest='min_yaw', type=float)
-
+ parser.add_argument('--max_yaw', dest='max_yaw', type=float)
args = parser.parse_args()
return args
@@ -107,25 +107,22 @@
roll_predicted = angles[:,2].data.cpu()
# Mean absolute error
- if args.min_yaw <= label_yaw[0]:
+ if args.min_yaw <= abs(label_pitch[0]) and args.max_yaw >= abs(label_pitch[0]):
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))
total += 1
-
- # Save images with pose cube.
- # TODO: fix for larger batch size
- if args.save_viz:
- name = name[0]
- if args.dataset == 'BIWI':
- cv2_img = cv2.imread(os.path.join(args.data_dir, name + '_rgb.png'))
- else:
- 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)), torch.sum(torch.abs(pitch_predicted - label_pitch)), torch.sum(torch.abs(roll_predicted - label_roll)))
- 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], pitch_predicted[0], roll_predicted[0])
- cv2.imwrite(os.path.join('output/images', name + '.jpg'), cv2_img)
+ if args.save_viz:
+ name = name[0]
+ if args.dataset == 'BIWI':
+ cv2_img = cv2.imread(os.path.join(args.data_dir, name + '_rgb.png'))
+ else:
+ 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)), torch.sum(torch.abs(pitch_predicted - label_pitch)), torch.sum(torch.abs(roll_predicted - label_roll)))
+ 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], 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) +
' test images. Yaw: %.4f, Pitch: %.4f, Roll: %.4f' % (yaw_error / total,
--
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