-
Notifications
You must be signed in to change notification settings - Fork 0
/
p7train.py
45 lines (34 loc) · 1.56 KB
/
p7train.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
import hpelm
from sys import argv
from datetime import datetime
import gc
__project__ = "ELMTrainSlave7"
__author__ = "Theo Linnemann"
ORIGINAL_SUBFOLDERS = [
('/Shared/bdagroup3/FaceSkinDataset/Original/train', '/Shared/bdagroup3/FaceSkinDataset/XTrainUJ.h5'),
('/Shared/bdagroup3/FaceSkinDataset/Original/test', '/Shared/bdagroup3/FaceSkinDataset/XTestUJ.h5')]
SKIN_SUBFOLDERS = [('/Shared/bdagroup3/FaceSkinDataset/Skin/train', '/Shared/bdagroup3/FaceSkinDataset/TTrainUJ.h5'),
('/Shared/bdagroup3/FaceSkinDataset/Skin/test', '/Shared/bdagroup3/FaceSkinDataset/TTestUJ.h5')]
def addData(dimensions, startRow, numRows):
model0 = hpelm.HPELM(dimensions[0], dimensions[1])
model0.load('/Shared/bdagroup3/pmodelMaster1500.hf')
model0.add_data('/Shared/bdagroup3/FaceSkinDataset2/XTrainUJ.h5', '/Shared/bdagroup3/FaceSkinDataset2/TTrainUJ.h5',
istart=startRow, icount=numRows, fHH="/Shared/bdagroup3/DONOTTOUCH/HH.h5",
fHT="/Shared/bdagroup3/DONOTTOUCH/HT.h5")
def main(argv):
dimensions = (75, 75)
startRow = 7000000
numRows = 1000000
print("Starting Row: " + str(startRow))
print("Assigned Number of Rows: " + str(numRows))
print("Adding data now.")
addData(dimensions, startRow, numRows)
print("Adding data complete.")
gc.collect()
if __name__ == "__main__":
run_date = datetime.now()
print('Running...', __project__, 'by', __author__, 'on', run_date.strftime("%m-%d-%Y"))
print(' ')
main(argv[1:])
print(' ')
print('Done with', __project__)