-
Notifications
You must be signed in to change notification settings - Fork 0
/
utils.py
executable file
·39 lines (28 loc) · 1.08 KB
/
utils.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
from scipy.io import loadmat
from datetime import datetime
import os
def calc_age(taken, dob):
birth = datetime.fromordinal(max(int(dob) - 366, 1))
# assume the photo was taken in the middle of the year
if birth.month < 7:
return taken - birth.year
else:
return taken - birth.year - 1
def get_meta(mat_path, db):
meta = loadmat(mat_path)
full_path = meta[db][0, 0]["full_path"][0]
dob = meta[db][0, 0]["dob"][0] # Matlab serial date number
gender = meta[db][0, 0]["gender"][0]
photo_taken = meta[db][0, 0]["photo_taken"][0] # year
face_score = meta[db][0, 0]["face_score"][0]
second_face_score = meta[db][0, 0]["second_face_score"][0]
age = [calc_age(photo_taken[i], dob[i]) for i in range(len(dob))]
return full_path, dob, gender, photo_taken, face_score, second_face_score, age
def load_data(mat_path):
d = loadmat(mat_path)
return d["image"], d["gender"][0], d["age"][0], d["db"][0], d["img_size"][0, 0], d["min_score"][0, 0]
def mk_dir(dir):
try:
os.mkdir( dir )
except OSError:
pass