#!/usr/bin/python
import time, webbrowser
from operator import add
from SimpleCV import Color, ColorCurve, Camera, Image, pg, np, cv
from SimpleCV.Display import Display
cam = Camera(0)
time.sleep(.1) # uhg
display = Display((800,600))
counter = 0
# load the cascades
face_cascade = cv.Load("./../Features/HaarCascades/face.xml")
nose_cascade = cv.Load("./../Features/HaarCascades/nose.xml")
stache = Image("./stache.png") # load the stache
mask = stache.createAlphaMask() # load the stache mask
count = 0
while( display.isNotDone() ):
#count = count + 1
img = cam.getImage()
img = img.scale(.5) #use a smaller image
faces = img.findHaarFeatures(face_cascade) #find faces
if( faces is not None ): # if we have a face
faces = faces.sortArea() #get the biggest one
face = faces[-1]
myFace = face.crop() # get the face image
noses = myFace.findHaarFeatures(nose_cascade) #find the nose
if( noses is not None ):# if we have a nose
noses = noses.sortArea()
nose = noses[0] # get the biggest
# these get the upper left corner of the face/nose
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 16 13:56:40 2014
@author: Kelly
"""
from SimpleCV import Camera, Display, Image
cam=Camera(0)
disp= Display(cam.getImage().size())
stache=Image("mustache.jpg")
mask=stache.createAlphaMask()
while disp.isNotDone():
img=cam.getImage()
faces=img.findHaarFeatures('face')
if (faces is not None):
face=faces.sortArea()[-1]
myface=face.crop()
noses=myface.findHaarFeatures('nose')
if (noses is not None ):
nose=noses.sortArea()[-1]
xmust=face.points[0][0]+nose.x+ (stache.width/2)
ymust= face.points[0][1]+nose.y+(2*nose.height()/3)
img=img.blit(stache,pos=(xmust,ymust), mask=mask)
img.save(disp)
from SimpleCV import Display, Image, Color
import time
imagelist = [
'faces/face_test_1.jpg', 'faces/face_test_2.jpg', 'faces/face_test_3.jpg',
'faces/face_test_4.jpg', 'faces/face_test_5.jpg', 'faces/face_test_6.jpg'
]
imagecycle = 0
image = Image(imagelist[0])
disp = Display(image.size())
apple = Image('Apple.jpg')
mask = apple.createAlphaMask(0)
print 'Right click to cycle images. Left to remove apple.'
def cycle():
global imagecycle
global image
x = len(imagelist)
if (imagecycle + 1 == x):
imagecycle = 0
else:
imagecycle = imagecycle + 1
image = Image(imagelist[imagecycle]).scale(600, 480)
while disp.isNotDone():
x = None
y = None
width = None
height = None
coordinates = (x, y)
from SimpleCV import Color, Camera, Display, Image
import time
cam = Camera()
disp = Display(cam.getImage().size())
# Load the stache and alpha mask
stache = Image("mustache.png")
mask = stache.createAlphaMask()
while disp.isNotDone():
img = cam.getImage()
faces = img.findHaarFeatures('face')
if (faces is not None):
# Get the biggest face
face = faces.sortArea()[-1]
myface = face.crop()
# myface.show()
noses = myface.findHaarFeatures('nose')
# If we have a nose
if (noses is not None):
nose = noses.sortArea()[-1]
# Calculate the mustache position
xmust = face.points[0][0] + nose.x + (stache.width / 2)
ymust = face.points[0][1] + nose.y + (2 * nose.height() / 3)
# Blit the stache/mask onto the image
#!/usr/bin/python
import time, webbrowser
from operator import add
from SimpleCV import Color, ColorCurve, Camera, Image, pg, np, cv, HaarCascade
from SimpleCV.Display import Display
cam = Camera(1)
time.sleep(.1) # uhg
display = Display((800,600))
counter = 0
# load the cascades
face_cascade = HaarCascade("./../Features/HaarCascades/face.xml")
nose_cascade = HaarCascade("./../Features/HaarCascades/nose.xml")
stache = Image("./stache.png") # load the stache
mask = stache.createAlphaMask() # load the stache mask
count = 0
while( display.isNotDone() ):
#count = count + 1
img = cam.getImage()
img = img.scale(.5) #use a smaller image
faces = img.findHaarFeatures(face_cascade) #find faces
if( faces is not None ): # if we have a face
faces = faces.sortArea() #get the biggest one
face = faces[-1]
myFace = face.crop() # get the face image
noses = myFace.findHaarFeatures(nose_cascade) #find the nose
if( noses is not None ):# if we have a nose
noses = noses.sortArea()
nose = noses[0] # get the biggest
# these get the upper left corner of the face/nose
