From f111cb002b9c6065fdf6bb274ce5857a9e875e8c Mon Sep 17 00:00:00 2001
From: chenshijun <csj_sky@126.com>
Date: 星期三, 05 六月 2019 15:38:49 +0800
Subject: [PATCH] face rectangle
---
code/test_on_video_dockerface.py | 15 ++++++++-------
1 files changed, 8 insertions(+), 7 deletions(-)
diff --git a/code/test_on_video_dockerface.py b/code/test_on_video_dockerface.py
index 327b99a..30c262c 100644
--- a/code/test_on_video_dockerface.py
+++ b/code/test_on_video_dockerface.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:
@@ -126,6 +126,7 @@
ret,frame = video.read()
if ret == False:
break
+ cv2_frame = cv2.cvtColor(frame,cv2.COLOR_BGR2RGB)
while True:
x_min, y_min, x_max, y_max, conf = int(float(line[1])), int(float(line[2])), int(float(line[3])), int(float(line[4])), float(line[5])
@@ -146,7 +147,7 @@
x_max = min(frame.shape[1], x_max)
y_max = min(frame.shape[0], y_max)
# Crop image
- img = frame[y_min:y_max,x_min:x_max]
+ img = cv2_frame[y_min:y_max,x_min:x_max]
img = Image.fromarray(img)
# Transform
@@ -165,7 +166,7 @@
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 +175,7 @@
# 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(' ')
--
Gitblit v1.8.0