-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathutil.py
executable file
·77 lines (74 loc) · 3.12 KB
/
util.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
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
""" Defines utility functions.
"""
def get_parser():
"""Get parser object."""
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
parser = ArgumentParser(description=__doc__,
formatter_class=ArgumentDefaultsHelpFormatter)
parser.add_argument("-i", "--input",
dest="input",
help="Path to input",
required=False)
parser.add_argument("-o", "--output",
dest="output",
help="Path to output",
required=False)
parser.add_argument("--mask",
dest="mask",
help="Path to directory with mask files",
required=False)
parser.add_argument("--bee_mean",
dest="bee_mean",
help="""Value of mean for synthetic honeybees. For choice enter as 0.25,0.5 and
for uniform range enter [0.25,0.5].""",
default="0.25",
type=str,
required=False)
parser.add_argument("--num_synthetic_videos",
dest="num_synth_videos",
help="Number of synthetic videos to generate.",
default=1000,
type=int,
required=False)
parser.add_argument("--num_avg",
dest="num_avg",
help="Number of frames used for averaging in background subtraction.",
default=50,
type=int,
required=False)
parser.add_argument("--type",
dest="type",
help="Type of HDF5 dataset.",
default="train",
choices=["train", "val", "test"],
required=False)
parser.add_argument("-a", "--annot",
dest="annot",
help="Npy file with human annotations.")
parser.add_argument("--train_data",
dest="train_data",
help="Train data",
required=False)
parser.add_argument("--val_data",
dest="val_data",
help="Validation data",
required=False)
parser.add_argument("--test_data",
dest="test_data",
help="Test data",
required=False)
parser.add_argument("--model",
dest="model",
help="Model path",
required=False)
parser.add_argument("--thr",
dest="thr",
help="Threshold",
type=float,
default=0.1,
required=False)
parser.add_argument("--heat_map",
dest="heat_map",
help="Path to heatmap",
required=False)
return parser