#!/usr/bin/env python
#
# Released under the BSD license. See LICENSE file for details.
"""
This program basically does face detection an blurs the face out.
"""
print __doc__
from simplecv import Camera, Display, HaarCascade
# Initialize the camera
cam = Camera()
# Create the display to show the image
display = Display()
# Haar Cascade face detection, only faces
haarcascade = HaarCascade("face")
# Loop forever
while display.isNotDone():
# Get image, flip it so it looks mirrored, scale to speed things up
img = cam.getImage().flip_horizontal().scale(0.5)
# Load in trained face file
faces = img.find_haar_features(haarcascade)
# Pixelize the detected face
if faces:
bb = faces[-1].get_bounding_box()
img = img.pixelize(10, region=(bb[0], bb[1], bb[2], bb[3]))
# Display the image
img.save(display)
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)
img.save(display)
barcode = img.find_barcode()
if barcode: # if we have a barcode
data = str(barcode.data)
To install on Ubuntu Linux 12.04 or higher:
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
#!/usr/bin/env python
#
# Released under the BSD license. See LICENSE file for details.
"""
All this example does is find a face and replace it with another image. The
image should auto scale to match the size of the face.
"""
print __doc__
from simplecv import Camera, Display, HaarCascade, Image
#initialize the camera
cam = Camera()
# Create the display to show the image
display = Display()
# Load the new face image
troll_face = Image('troll_face.png', sample=True)
# Haar Cascade face detection, only faces
haarcascade = HaarCascade("face")
# Loop forever
while display.isNotDone():
# Get image, flip it so it looks mirrored, scale to speed things up
img = cam.getImage().flip_horizontal().scale(0.5)
# load in trained face file
faces = img.find_haar_features(haarcascade)
# If there were faces found do something
if faces:
face = faces[-1]
