From 18a21d4b07c581a8954b08518115fb035c712b28 Mon Sep 17 00:00:00 2001
From: natanielruiz <nataniel777@hotmail.com>
Date: 星期二, 08 八月 2017 07:34:09 +0800
Subject: [PATCH] Added new correct cropping for training and smoothing for video.
---
code/test_on_video.py | 15 ++++++++++++---
1 files changed, 12 insertions(+), 3 deletions(-)
diff --git a/code/test_on_video.py b/code/test_on_video.py
index 4fad440..247c2db 100644
--- a/code/test_on_video.py
+++ b/code/test_on_video.py
@@ -45,10 +45,12 @@
if not os.path.exists(args.video_path):
sys.exit('Video does not exist')
- # ResNet50 with 3 outputs.
- model = hopenet.Hopenet(torchvision.models.resnet.Bottleneck, [3, 4, 6, 3], 66)
+ # 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)
# ResNet18
- # model = hopenet.Hopenet(torchvision.models.resnet.BasicBlock, [2, 2, 2, 2], 66)
+ model = hopenet.Hopenet(torchvision.models.resnet.BasicBlock, [2, 2, 2, 2], 66)
print 'Loading snapshot.'
# Load snapshot
@@ -79,6 +81,8 @@
fourcc = cv2.VideoWriter_fourcc(*'MJPG')
out = cv2.VideoWriter('output/video/output-%s.avi' % args.output_string, fourcc, 30.0, (width, height))
+ txt_out = open('output/video/output-%s.txt' % args.output_string, 'w')
+
bbox_file = open(args.bboxes, 'r')
frame_num = 1
@@ -95,6 +99,7 @@
out.release()
video.release()
bbox_file.close()
+ txt_out.close()
sys.exit(0)
# Save all frames as they are if they don't have bbox annotation.
@@ -104,6 +109,7 @@
out.release()
video.release()
bbox_file.close()
+ txt_out.close()
sys.exit(0)
out.write(frame)
frame_num += 1
@@ -113,6 +119,7 @@
out.release()
video.release()
bbox_file.close()
+ txt_out.close()
sys.exit(0)
x_min, y_min, x_max, y_max = int(line[1]), int(line[2]), int(line[3]), int(line[4])
@@ -136,6 +143,7 @@
roll_predicted = torch.sum(roll_predicted.data[0] * idx_tensor) * 3 - 99
# Print new frame with cube and TODO: axis
+ txt_out.write(str(frame_num) + ' %f %f %f\n' % (yaw_predicted, pitch_predicted, roll_predicted))
utils.plot_pose_cube(frame, yaw_predicted, pitch_predicted, roll_predicted, (x_min + x_max) / 2, (y_min + y_max) / 2, size = 200)
out.write(frame)
@@ -147,6 +155,7 @@
out.release()
video.release()
bbox_file.close()
+ txt_out.close()
sys.exit(0)
out.write(frame)
frame_num += 1
--
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