def test_one_face(target):
# prófum þetta, finnst andlit í einfaldri mynd?
# path = '/Users/matti/Documents/forritun/andlit2/s41'
# path = '/Volumes/MacSarpur/Downloads/colorferet/colorferet/dvd1/data/images/s/s00001'
path = '/Users/matti/Dropbox/Skjöl/Meistaraverkefni/server/sull'
#path = '/Users/matti/Pictures/'
# img = cv2.imread(path + "matti.bmp")
# target = "ég2.jpg"
image = cv2.imread(os.path.join(path, target))
if image is None:
print "Gat ekki lesið mynd"
return
# print image.shape
image = utils.check_size_and_resize(image)
df = utils.FaceDetector()
face, eyes = df.detectFace(image)
if face is None or len(face) == 0:
print "Fann ekkert andlit í mynd: ", target
utils.show_image_and_wait_for_input(image)
return
face = face[0]
print "f:", face, "e:", eyes
image2 = image.copy()
utils.draw_face(image2, face, eyes)
utils.show_image_and_wait_for_input(image2)
fp = utils.FaceProcessor()
image2 = fp.process_image(image)
assert image2 is not None, "Mynd á ekki að vera null"
utils.show_image_and_wait_for_input(image2)
print "done"
return image2
def check_unprocessed_image():
image = utils.read_image(
"/Users/matti/Documents/forritun/att_faces/10.bmp")
fp = utils.FaceProcessor()
image2 = fp.process_image(image)
print "unprocessed: ",
print_dimension(image2)
def check_histogram():
image = utils.read_image(
"/Users/matti/Documents/forritun/att_faces/matti2.jpg")
utils.show_image_and_wait_for_input(image)
fp = utils.FaceProcessor()
image2 = fp.process_image(image)
utils.show_image_and_wait_for_input(image2)
utils.equalize_histogram(image2)
utils.show_image_and_wait_for_input(image2)
def test_compare_images(img1_filename, img2_filename):
fp = utils.FaceProcessor()
img1 = fp.process_image(utils.read_image(img1_filename))
img2 = utils.read_image(img2_filename)
print img1
print "---"
print img2
print img1.shape, ", ", img2.shape
img3 = img1 - img2
print img3.sum() # allt núll, nákvæmlega eins
img3 = img2 - img1
print img3.sum() # allt núll, nákvæmlega eins
# show random image
# utils.show_image_and_wait_for_input(face_list[len(face_list)/2])
print "Train the model"
start = time.clock()
# model.compute(X, y)
model.compute(face_list, id_list)
stop = time.clock()
print "Training done in", stop - start, " next...find a face"
target = "10.bmp"
if len(sys.argv) > 3:
target = sys.argv[3]
fp = utils.FaceProcessor()
while target != "quit":
# prufu_mynd = Image.open(os.path.join(path, target))
prufu_mynd = cv2.imread(os.path.join(path, target))
print "Nota mynd: ", os.path.join(path, target)
if prufu_mynd is not None:
prufu_mynd = fp.process_image(prufu_mynd)
if prufu_mynd is None:
print "fann ekkert andlit!"
else:
start = time.clock()
# res = model.predict(td)
res = model.predict(prufu_mynd)
stop = time.clock()
print res