From e65c915e5bdbcca56b37aa13bcff4911beffbe37 Mon Sep 17 00:00:00 2001
From: hyhmrright <hyhmrright@163.com>
Date: 星期五, 31 五月 2019 13:13:35 +0800
Subject: [PATCH] change py2 to py3
---
code/test_on_video.py | 12 ++++++------
1 files changed, 6 insertions(+), 6 deletions(-)
diff --git a/code/test_on_video.py b/code/test_on_video.py
index 7c51348..0193035 100644
--- a/code/test_on_video.py
+++ b/code/test_on_video.py
@@ -51,12 +51,12 @@
# ResNet50 structure
model = hopenet.Hopenet(torchvision.models.resnet.Bottleneck, [3, 4, 6, 3], 66)
- print 'Loading snapshot.'
+ print('Loading snapshot.')
# Load snapshot
saved_state_dict = torch.load(snapshot_path)
model.load_state_dict(saved_state_dict)
- print 'Loading data.'
+ print('Loading data.')
transformations = transforms.Compose([transforms.Scale(224),
transforms.CenterCrop(224), transforms.ToTensor(),
@@ -64,7 +64,7 @@
model.cuda(gpu)
- print 'Ready to test network.'
+ print('Ready to test network.')
# Test the Model
model.eval() # Change model to 'eval' mode (BN uses moving mean/var).
@@ -105,7 +105,7 @@
line = line.split(' ')
det_frame_num = int(line[0])
- print frame_num
+ print(frame_num)
# Stop at a certain frame number
if frame_num > args.n_frames:
@@ -165,7 +165,7 @@
pitch_predicted = torch.sum(pitch_predicted.data[0] * idx_tensor) * 3 - 99
roll_predicted = torch.sum(roll_predicted.data[0] * idx_tensor) * 3 - 99
- # Print new frame with cube and axis
+ # print(new frame with cube and 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 = bbox_width)
utils.draw_axis(frame, yaw_predicted, pitch_predicted, roll_predicted, tdx = (x_min + x_max) / 2, tdy= (y_min + y_max) / 2, size = bbox_height/2)
@@ -174,7 +174,7 @@
# Peek next frame detection
next_frame_num = int(bbox_line_list[idx+1].strip('\n').split(' ')[0])
- # print 'next_frame_num ', next_frame_num
+ # print('next_frame_num ', next_frame_num
if next_frame_num == det_frame_num:
idx += 1
line = bbox_line_list[idx].strip('\n').split(' ')
--
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