cv2.imwrite("wtTest.png", self.wt)
# hunt for the appropriate number in each partitioned image
if db: cvs(db,self.wt,'weight',0)
self.nwt = xrdTyp(self.wt,'wt',db,trb)
self.nfat = xrdTyp(self.fat,'fat',db,trb)
self.nh2o = xrdTyp(self.h2o,'h2o',db,trb)
#cvs(db,self.cropped,'input',0)
return(None)
if __name__ == '__main__':
global db,trb
db = 0
filename = 'ScTest/T2015Doris/20150130_093919.jpg'
filename = "input.png"
print 'weight.py', filename
s = Scale(filename,db,trb)
print s.name, 'wt is' ,s.nwt,'iHunt global'
for i in iHunt:
print i
cvs(db,s.cropped ,'test image display',0) # test image display
cvd()
idGen(0,trb) # close file and cleanup
trb.close()
except IOError as e:
print "I/O error({0}): {1}".format(e.errno, e.strerror)
trb = open('VM-trb.txt','w') # catch all problem file for VMs
print 'input test file ', tfile
c = [0,0,0] ; f = [0,0,0]
correct = 0; failed = 0;
def srtkey(lin):
f = eval(lin)[1]
fds = f.find(r'\201') # will return date of file
#print f[fds:]
return(f[fds:])
gen = open('0idGRule.py','w') ## open file for write
idGen(1,gen) # open file
with open(tfile,'r' ) as fr:
for line in fr:
#for line in sorted(fr, key = srtkey,reverse=True) :
print line
print eval(line)[1]
x = eval(line)
# line has wt,fat,h20 , " filename"
wfile = x[1] # filename
data = eval( x[0])
trueWt = data[0] # see key above
prob = False
#rd = rScale(wfile,False )