def command_parser():
'''
THIS PART CAN PARSER THE COMMAND PARAMETERS.
Value 0 is off, 1 is open.
'''
try:
source_path = ""
save_path = ""
# The default value of data_deal model.
iamges_deal = 0
size_x = 28
size_y = 28
channel = 3
# samples model parameters
samples = 0
no_replace = 0
replace = 0
number = 10000
# train and test the model
train_test = 0
dataset = 'mnist.pkl.gz'
config_path = "../config-example"
n_y = 10
m1 = 0
m2 = 0
opts, args = getopt.getopt(sys.argv[1:], "ho:", \
["help", \
"images_deal", \
"images_path=", \
"size_x=", \
"size_y=" , \
"channel=", \
"samples", \
"no_replace=", \
"replace=", \
"source_path=" , \
"number=", \
"save_path=", \
"train_test", \
"dataset=", \
"config_path=", \
"n_y=" , \
"m1=", \
"m2="
])
#print opts,args
for x, y in opts:
if x in ("-h", "--help"):
print "-----------------------------------------------------------"
print "ensemb: command line brew"
print "usage : python ensemb.py <command> <args>"
print "---------------------------------------------------------------------"
print "images_deal : deal the image to pickle file"
print "---------- ensemb.py --images_deal "
print "---------- --source_path=/home/gd/ensemble-nn/data/image"
print "---------- --size_x=28"
print "---------- --size_y=28 "
print "---------- --channel=3"
print "---------------------------------------------------------------------"
print "samples : sample the samples from the datasets"
print "---------- ensemb.py --samples "
print "---------- --no_replace=1"
print "---------- --replace=0 "
print "---------- --source_path=./data/mnist.pkl.gz"
print "---------- --number=30000"
print "---------- --save_path=./data/mnist-sample-replace.pkl"
print "---------------------------------------------------------------------"
print "train_test : train and test the model"
print "---------- ensemb.py --train_test "
print "---------- --dataset =/home/gd/ensemble-nn/data/mnist.pkl.gz"
print "---------- --config_path=./config-example "
print "---------- --n_y =10"
print "---------- --m1 = 1"
print "---------------------------------------------------------------------"
# MODEL IMAGES_DEAL
if x in ("--images_deal"):
print "Deal the iamge .."
iamges_deal = 1
if x in ("--source_path"):
images_path = y
if x in ("--size_x"):
size_x = int(y)
if x in ("--size_y"):
size_y = int(y)
if x in ("--channel"):
channel = int(y)
# MODEL SAMPLES
if x in ("--samples"):
print "sampling .."
samples = 1
if x in ("--no_replace"):
no_replace = int(y)
if x in ("--replace"):
replace = int(y)
if x in ("--source_path"):
source_path = y
if x in ("--number"):
number = int(y)
if x in ("--save_path"):
save_path = y
# TRAIN AND TEST A MODEL
if x in ("--train_test"):
print "train and test .."
train_test = 1
if x in ("--dataset"):
dataset = y
if x in ("--config_path"):
config_path = y
if x in ("--n_y"):
n_y = int(y)
if x in ("--m1"):
m1 = int(y)
if x in ("--m2"):
m2 = int(y)
if iamges_deal == 1:
source_path = "/home/gd/ensemble-nn/data/image"
DealDate_deal(image_path=source_path,
size_x=size_x,
size_y=size_y,
channel=channel)
if samples == 1:
source_path = "/home/gd/ensemble-nn/data/mnist.pkl.gz"
save_path = "/home/gd/ensemble-nn/data/mnist-sample-replace.pkl"
if no_replace == 0 and replace == 0:
print "no_replace or replace ?"
if no_replace == 1 and replace == 1:
print "no_replace or replace ?"
if no_replace == 1:
instance = Samples()
instance.no_replace_sample(source_path, number, save_path)
if replace == 1:
instance = Samples.Samples()
instance.replace_sample(source_path, number, save_path)
if train_test == 1:
if m1 == 0 and m2 == 0:
print "adaboost-m1 or adaboost-m2 ?"
if m1 == 1 and m2 == 1:
print "adaboost-m1 or adaboost-m2 ?"
if m1 == 1 and m2 == 0:
instance = Controller()
instance.m1_controller(dirctory=config_path,
dataset=dataset,
n_y=n_y)
if m1 == 0 and m2 == 1:
instance = Controller()
instance.m2_controller(dirctory=config_path,
dataset=dataset,
n_y=n_y)
sys.exit()
except Exception as err:
print err
def command_parser():
'''
THIS PART CAN PARSER THE COMMAND PARAMETERS.
Value 0 is off, 1 is open.
'''
try:
source_path= ""
save_path = ""
# The default value of data_deal model.
iamges_deal = 0
size_x = 28
size_y = 28
channel = 3
# samples model parameters
samples = 0
no_replace = 0
replace = 0
number = 10000
# train and test the model
train_test = 0
dataset = 'mnist.pkl.gz'
config_path= "../config-example"
n_y = 10
m1 = 0
m2 = 0
opts, args = getopt.getopt(sys.argv[1:], "ho:", \
["help", \
"images_deal", \
"images_path=", \
"size_x=", \
"size_y=" , \
"channel=", \
"samples", \
"no_replace=", \
"replace=", \
"source_path=" , \
"number=", \
"save_path=", \
"train_test", \
"dataset=", \
"config_path=", \
"n_y=" , \
"m1=", \
"m2="
])
#print opts,args
for x,y in opts:
if x in ("-h","--help"):
print "-----------------------------------------------------------"
print "ensemb: command line brew"
print "usage : python ensemb.py <command> <args>"
print "---------------------------------------------------------------------"
print "images_deal : deal the image to pickle file"
print "---------- ensemb.py --images_deal "
print "---------- --source_path=/home/gd/ensemble-nn/data/image"
print "---------- --size_x=28"
print "---------- --size_y=28 "
print "---------- --channel=3"
print "---------------------------------------------------------------------"
print "samples : sample the samples from the datasets"
print "---------- ensemb.py --samples "
print "---------- --no_replace=1"
print "---------- --replace=0 "
print "---------- --source_path=./data/mnist.pkl.gz"
print "---------- --number=30000"
print "---------- --save_path=./data/mnist-sample-replace.pkl"
print "---------------------------------------------------------------------"
print "train_test : train and test the model"
print "---------- ensemb.py --train_test "
print "---------- --dataset =/home/gd/ensemble-nn/data/mnist.pkl.gz"
print "---------- --config_path=./config-example "
print "---------- --n_y =10"
print "---------- --m1 = 1"
print "---------------------------------------------------------------------"
# MODEL IMAGES_DEAL
if x in ("--images_deal"):
print "Deal the iamge .."
iamges_deal = 1
if x in ("--source_path"):
images_path = y
if x in ("--size_x"):
size_x = int(y)
if x in ("--size_y"):
size_y = int(y)
if x in ("--channel"):
channel = int(y)
# MODEL SAMPLES
if x in ("--samples"):
print "sampling .."
samples = 1
if x in ("--no_replace"):
no_replace = int(y)
if x in ("--replace"):
replace = int(y)
if x in ("--source_path"):
source_path = y
if x in ("--number"):
number = int(y)
if x in ("--save_path"):
save_path = y
# TRAIN AND TEST A MODEL
if x in ("--train_test"):
print "train and test .."
train_test = 1
if x in ("--dataset"):
dataset = y
if x in ("--config_path"):
config_path = y
if x in ("--n_y"):
n_y = int(y)
if x in ("--m1"):
m1 = int(y)
if x in ("--m2"):
m2 = int(y)
if iamges_deal == 1:
source_path="/home/gd/ensemble-nn/data/image"
DealDate_deal(image_path=source_path,size_x=size_x,size_y = size_y, channel =channel)
if samples == 1:
source_path="/home/gd/ensemble-nn/data/mnist.pkl.gz"
save_path="/home/gd/ensemble-nn/data/mnist-sample-replace.pkl"
if no_replace == 0 and replace == 0:
print "no_replace or replace ?"
if no_replace == 1 and replace == 1:
print "no_replace or replace ?"
if no_replace == 1:
instance = Samples()
instance.no_replace_sample(source_path, number, save_path)
if replace == 1:
instance = Samples.Samples()
instance.replace_sample(source_path, number, save_path)
if train_test == 1:
if m1 == 0 and m2 == 0:
print "adaboost-m1 or adaboost-m2 ?"
if m1 == 1 and m2 == 1:
print "adaboost-m1 or adaboost-m2 ?"
if m1 == 1 and m2 == 0:
instance = Controller()
instance.m1_controller(dirctory = config_path, dataset = dataset,n_y = n_y)
if m1 == 0 and m2 == 1:
instance = Controller()
instance.m2_controller(dirctory = config_path, dataset = dataset,n_y = n_y)
sys.exit()
except Exception as err:
print err
