def run(filename):
print "Reading File"
training,test=getimagelists(filename)
features=[]
labels=[]
d={}
for line in training:
print "Processing file: " + line.split(tab)[0]
l,f,d=processtrainingimage.process(line,d)
for i in range(len(f)):
features.append(f[i])
for i in range(len(l)):
labels.append(l[i])
o=open('output.txt','w')
print "outputting"
for i in xrange(len(labels)):
output = labels[i]
for j in xrange(len(features[i])):
output+=tab+str(features[i][j])
o.write(output+'\n')
print "Converting nested list to array"
features=np.array(features,dtype=float)
'''
features, labels= loadFile("output.txt")
'''
print "Building Machine Learning Models"
model = MachineLearning.ml(features,labels)
print "Starting Testing Images!"
for line in test:
print "Processing file: " + line.split(tab)[0]
ProcessTestImage.runWalk(line,40,model)
