#!/usr/bin/python
import pygame as pg
from operator import add
from simplecv.factory import Factory
from simplecv.display import Display
from simplecv.image_set import ImageSet
d = Display(flags=pg.FULLSCREEN)
#create video streams
cam = Factory.Kinect()
#initialize the camera
frames_to_blur = 4
frames = ImageSet()
depth = cam.getDepth().stretch(0, 200)
while True:
new_depth = cam.getDepth().stretch(0, 200)
img = cam.getImage()
diff_1 = new_depth - depth
diff_2 = depth - new_depth
diff = diff_1 + diff_2
img_filter = diff.binarize(0)
motion_img = img - img_filter
motion_img_open = motion_img.morph_open()
frames.append(motion_img_open)
if len(frames) > frames_to_blur:
frames.pop(0)
sudo apt-get install python-zbar
Then line up the item in the red box and left click the mouse to tell
the program to try and read the barcode
'''
print __doc__
import time
import csv
from simplecv import Color, ColorCurve, Camera, Image, pg, np, cv
from simplecv.display import Display
cam = Camera()
display = Display((800, 600))
data = "None"
mydict = dict()
myfile = "barcode-list.csv"
while display.isNotDone():
display.checkEvents() #check for mouse clicks
img = cam.getImage()
img.draw_rectangle(img.width / 4,
img.height / 4,
img.width / 2,
img.height / 2,
color=Color.RED,
width=3)
if display.mouseLeft: # click the mouse to read
img.draw_text("reading barcode... wait", 10, 10)
Then line up the item in the red box and left click the mouse to tell
the program to try and read the barcode
'''
print __doc__
import time
import csv
from simplecv import Color, ColorCurve, Camera, Image, pg, np, cv
from simplecv.display import Display
cam = Camera()
display = Display((800,600))
data = "None"
mydict = dict()
myfile = "barcode-list.csv"
while display.isNotDone():
display.checkEvents()#check for mouse clicks
img = cam.getImage()
img.draw_rectangle(img.width/4,img.height/4,img.width/2,img.height/2,color=Color.RED,width=3)
if display.mouseLeft: # click the mouse to read
img.draw_text("reading barcode... wait",10,10)
img.save(display)
barcode = img.find_barcode()
if barcode: # if we have a barcode
data = str(barcode.data)
print data
#!/usr/bin/python
import time
import numpy as np
import pygame as pg
from simplecv.factory import Factory
from simplecv.display import Display
d = Display(flags = pg.FULLSCREEN)
#create video streams
cam = Factory.Kinect()
#initialize the camera
compositeframe = Factory.Image((640, 480))
#populate the compositeframe
offtime = 5.0
laststroke = time.time()
while not d.isDone():
img = cam.getImage()
imgscene = img.copy()
depth = cam.getDepth()
mindepth = np.min(depth.get_numpy())
if mindepth < 180:
depthbin = depth.binarize(np.min(depth.get_numpy()) + np.std(depth.get_numpy()) / 4).erode(3)
#take the front 1/4 stdev of the depth map
#!/usr/bin/python
from operator import add
from simplecv.core.camera import Camera
from simplecv.display import Display
from simplecv.factory import Factory
cam = Camera()
display = Display((800,600))
counter = 0
# load the cascades
face_cascade = HaarCascade("face")
nose_cascade = HaarCascade("nose")
stache = Image("stache.png", sample=True) # load the stache
mask = stache.createAlphaMask() # load the stache mask
count = 0
while display.isNotDone():
img = cam.getImage()
img = img.scale(.5) #use a smaller image
faces = img.find_haar_features(face_cascade) #find faces
if( faces is not None ): # if we have a face
faces = faces.sort_area() #get the biggest one
face = faces[-1]
myFace = face.crop() # get the face image
noses = myFace.find_haar_features(nose_cascade) #find the nose
if( noses is not None ):# if we have a nose
noses = noses.sort_area()
nose = noses[0] # get the biggest
# these get the upper left corner of the face/nose with respect to original image
xf = face.x -(face.get_width()/2)