-
Notifications
You must be signed in to change notification settings - Fork 2
/
Copy pathvisualize_h5.py
56 lines (43 loc) · 1.25 KB
/
visualize_h5.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
import argparse
import h5py
import numpy as np
import progressbar
import math
import cv2
def displayData(image, angle):
radius = 80
angle = (angle * 90) + 90
angle = angle * math.pi / 180
y = 240 - int(math.sin(angle) * radius)
x = int(math.cos(angle) * radius) + 160
cv2.line(image, (160, 240), (x, y), (0, 0, 0), 5)
font = cv2.FONT_HERSHEY_SIMPLEX
cv2.putText(image, str(int(angle * 180 / math.pi)), (x, y), font, .8, (255, 0, 255), 2)
return image
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Visualizes frames and angles for a given h5 dataset')
parser.add_argument('--file', type=str, default='dataset.h5')
parser.add_argument('--run', type=str)
args = parser.parse_args()
file = args.file
run = args.run
f = h5py.File(file, 'r')
keys = [x.encode('UTF8') for x in f.keys()]
if not run:
run = keys[0]
print run
dataset = f[run]
dataset_length = dataset.shape[0]
progress = progressbar.ProgressBar(maxval=dataset_length)
progress.start()
instance = 0
for i in range(dataset_length):
image = dataset[i]['image']
angle = dataset[i]['angle']
image = displayData(image, angle)
cv2.imshow("Image", image)
cv2.waitKey(20)
instance += 1
progress.update(instance)
cv2.destroyAllWindows()
progress.finish()