def main():
selectCascades()
trainingData = FaceRecognizer.ImageFeatureSet()
# Call the below method in a loop for every file in the training data set
processImage('.\\Images\\test.jpg', trainingData)
def main():
selectCascades()
trainingData = FaceRecognizer.ImageFeatureSet()
testingData = FaceRecognizer.ImageFeatureSet()
test = {}
train = {}
delta = 2.3
# Call the below method in a loop for every file in the training data set
for files in os.walk(
'C:\\Users\\Marc Nipuna\\Desktop\\Computer-Vision\\Codebase\\TrainingImages\\'
):
for filename in files[2]:
processImage(
'C:\\Users\\Marc Nipuna\\Desktop\\Computer-Vision\\Codebase\\TrainingImages\\'
+ str(filename), trainingData, "Training Data")
# Call the below method for extracting the features of the test image
print "gonna call test"
for files in os.walk(
'C:\\Users\\Marc Nipuna\\Desktop\\Computer-Vision\\Codebase\\TestImage\\'
):
print files
for filename in files[2]:
processImage(
'C:\\Users\\Marc Nipuna\\Desktop\\Computer-Vision\\Codebase\\TestImage\\'
+ str(filename), testingData, "Testing Data")
print "\n\n\nPrinting the training data: \n******************************\n "
trainingData.printDataSet("Training Data")
print "\n\n\nPrinting the test data: \n******************************\n"
testingData.printDataSet("Testing Data")
train = trainingData.trainingDataSet
test = testingData.testDataSet
#Scoring the test data with the training dataset
#print "train",train
#print "test",test
score = trainingData.scoring(train, test, delta)
for key_train, value_train in train.iteritems():
testing(key_train, value_train)
def main():
selectCascades()
trainingData = FaceRecognizer.ImageFeatureSet()
testingData = FaceRecognizer.ImageFeatureSet()
# Call the below method in a loop for every file in the training data set
'''for files in os.walk('.\\TrainingImages\\'):
for filename in files[2]:
processImage('.\\TrainingImages\\'+str(filename),trainingData,"Training Data")'''
# Call the below method for extracting the features of the test image
'''for files in os.walk('.\\TestImage\\'):
for filename in files[2]:
processImage('.\\TestImage\\'+str(filename),testingData,"Testing Data")'''
import Files
reload(Files)
train = Files.Files('.\\TrainingImages\\')
for filename in train:
processImage('.\\TrainingImages\\'+str(filename),trainingData,"Training Data")
test = Files.Files('.\\TestImage\\')
for filename in test:
print "NAme",filename
processImage('.\\TestImage\\'+str(filename),testingData,"Testing Data")
print "\n\n\nPrinting the training data: \n******************************\n "
trainingData.printDataSet("Training Data")
print "\n\n\nPrinting the test data: \n******************************\n"
testingData.printDataSet("Testing Data")