def getHumanDetector(winSize):
svm4human = svm.SVM()
svm4human.setLinearSVM()
detector4human = detector.Detector(winSize)
detector4human.setClassifier(svm4human)
dataSet = []
labels = []
# positive samples
posSamples = imageProcessor.loadImages(IN_CLASS_HUMAN_SET_TRAIN)
dataSet += posSamples
labels += [1 for i in range(len(posSamples))]
posSamples = imageProcessor.loadImages(MIT_HUMAN_SET)
dataSet += posSamples
labels += [1 for i in range(len(posSamples))]
# negative samples
negSamples = imageProcessor.loadImages(IN_CLASS_BACKGROUND_SET)
dataSet += negSamples
labels += [0 for i in range(len(negSamples))]
# negSamples = imageProcessor.loadImages(IN_CLASS_CAR_SET_TEST)
# dataSet += negSamples
# labels += [0 for i in range(len(negSamples))]
detector4human.train(dataSet, labels)
return detector4human
def foo():
# humanDetector = getCarDetector((128, 96))
humanDetector = getHumanDetector((64, 96))
img = cv2.imread("3.jpg")
# img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
img, rois = humanDetector.detectMultiScale(img, (20, 20), (8, 8), 1.2)
# img, rois = humanDetector.detect(img)
# img, rois = humanDetector.demo(img, (10, 10), 1.2)
numOfHuman, numOfNonHuman = 0, 0
for img in rois:
res = humanDetector.predict(img)
if res == 1.0:
# path = "./test/" + str(numOfHuman) + ".jpg"
# cv2.imwrite(path, img)
numOfHuman += 1
else:
numOfNonHuman += 1
path = "./test/" + str(numOfHuman + numOfNonHuman) + ".jpg"
cv2.imwrite(path, img)
print "Testing Human Detector"
print "number of human:", numOfHuman
print "number of non-human:", numOfNonHuman
print "ratio of human:", 1.0 * numOfHuman / (numOfHuman + numOfNonHuman)
print "-----------------------"
database = ["./test"]
for repo in database:
images = imageProcessor.loadImages(repo)
numOfHuman, numOfNonHuman = 0, 0
for img in images:
res = humanDetector.predict(img)
if res == 1.0:
numOfHuman += 1
else:
numOfNonHuman += 1
print "Testing Human Detector"
print "directory:", repo
print "number of human:", numOfHuman
print "number of non-human:", numOfNonHuman
print "ratio of human:", 1.0 * numOfHuman / (numOfHuman +
numOfNonHuman)
print "-----------------------"
def tester4car(database):
carDetector = getCarDetector((128, 96))
for repo in database:
images = imageProcessor.loadImages(repo)
numOfCars, numOfNonCars = 0, 0
for img in images:
res = carDetector.predict(img)
if res == 1.0:
numOfCars += 1
else:
numOfNonCars += 1
print "Testing Car Detector"
print "directory:", repo
print "number of cars:", numOfCars
print "number of non-cars:", numOfNonCars
print "ratio of cars:", 1.0 * numOfCars / (numOfCars + numOfNonCars)
print "-----------------------"
def tester4human(database):
detector4human = getHumanDetector((64, 96))
for repo in database:
images = imageProcessor.loadImages(repo)
numOfHuman, numOfNonHuman = 0, 0
for img in images:
res = detector4human.predict(img)
if res == 1.0:
numOfHuman += 1
else:
numOfNonHuman += 1
print "Testing Human Detector"
print "directory:", repo
print "number of human:", numOfHuman
print "number of non-human:", numOfNonHuman
print "ratio of human:", 1.0 * numOfHuman / (numOfHuman +
numOfNonHuman)
print "-----------------------"
def tester(root):
if root is None:
print "carDetector-tester(): img is None"
detector = humanDetector()
detector.setDefaultSVM4Human()
images = imageProcessor.loadImages(root)
if images == []:
print "carDetector-tester(): Cannot find any image in path:", root
return
numOfCars, numOfNonCars = 0, 0
for img in images:
img, rois = detector.detectHuman(img)
if rois == []:
numOfNonCars += 1
else:
numOfCars += 1
print "number of cars:", numOfCars
print "number of non-cars", numOfNonCars
print "ratio of car:", 1.0 * numOfCars / (numOfCars + numOfNonCars)
def tester(root):
if root is None:
print "humanDetector-tester(): img is None"
detector = humanDetector()
detector.setDefaultSVM4Human()
images = imageProcessor.loadImages(root)
if images == []:
print "humanDetector-tester(): Cannot find any image in path:", root
return
numOfHuman, numOfNonHuman = 0, 0
for img in images:
img, rois = detector.detectHuman(img)
if rois == []:
numOfNonHuman += 1
else:
numOfHuman += 1
print "number of human:", numOfHuman
print "number of non-human", numOfNonHuman
print "ratio of human:", 1.0 * numOfHuman / (numOfHuman + numOfNonHuman)
