def classification(pixr, pixrm):
from os import walk, remove, environ
from opencv.highgui import cvLoadImageM
path = environ.get("HOME")
lrow = []
lcol = []
avoided = []
file_count = len(walk(path + "/alpr/latest/blobs").next()[2])
for i in range(0, file_count):
filename = "pic" + str(i) + ".png"
img = cvLoadImageM(filename)
lrow.append(img.rows)
lcol.append(img.cols)
lenr = (len(lrow) / 2)
mean_row = lrow[lenr]
mean_col = lcol[lenr]
for item in range(0, len(lrow)):
if abs(lrow[item] - mean_row) > 7:
remove("pic" + str(item) + ".png")
lcol[item] = 'x'
avoided.append(item)
for item in range(0, len(lcol)):
if lcol[item] == 'x':
break
else:
if abs(lcol[item] - mean_col) > 7:
remove("pic" + str(item) + ".png")
avoided.append(item)
val = (len(pixr) / 2) - 1
mpixr = pixr[val]
mpixrm = pixrm[val]
amin = []
for i in range(0, len(pixr)):
if abs(mpixr - pixr[i]) > 32:
avoided.append(i)
amax = []
for i in range(0, len(pixr)):
if abs(mpixrm - pixrm[i]) > 50:
avoided.append(i)
return (avoided)
def classification(pixr,pixrm):
from os import walk,remove,environ
from opencv.highgui import cvLoadImageM
path = environ.get("HOME")
lrow=[]
lcol=[]
avoided=[]
file_count = len(walk(path+"/alpr/latest/blobs").next()[2])
for i in range(0,file_count):
filename="pic"+str(i)+".png"
img=cvLoadImageM(filename)
lrow.append(img.rows)
lcol.append(img.cols)
lenr=(len(lrow)/2)
mean_row=lrow[lenr]
mean_col=lcol[lenr]
for item in range(0,len(lrow)):
if abs(lrow[item]-mean_row)>7:
remove("pic"+str(item)+".png")
lcol[item]='x'
avoided.append(item)
for item in range(0,len(lcol)):
if lcol[item]=='x':
break
else:
if abs(lcol[item]-mean_col)>7:
remove("pic"+str(item)+".png")
avoided.append(item)
val=(len(pixr)/2)-1
mpixr=pixr[val]
mpixrm=pixrm[val]
amin=[]
for i in range(0,len(pixr)):
if abs(mpixr-pixr[i])>32:
avoided.append(i)
amax=[]
for i in range(0,len(pixr)):
if abs(mpixrm-pixrm[i])>50:
avoided.append(i)
return(avoided)
def read(name):
from opencv.highgui import cvLoadImageM
#Location of the image
location = name
image = cvLoadImageM(location, 0)
return image
def read(name):
from opencv.highgui import cvLoadImageM
#Location of the image
location = name
image = cvLoadImageM(location,0)
return image
