def live(self):
"""
**SUMMARY**
This shows a live view of the camera.
**EXAMPLE**
To use it's as simple as:
>>> cam = Camera()
>>> cam.live()
Left click will show mouse coordinates and color
Right click will kill the live image
"""
start_time = time.time()
from SimpleCV.Display import Display
i = self.getImage()
d = Display(i.size())
i.save(d)
col = Color.RED
while d.isNotDone():
i = self.getImage()
elapsed_time = time.time() - start_time
if d.mouseLeft:
txt = "coord: (" + str(d.mouseX) + "," + str(d.mouseY) + ")"
i.dl().text(txt, (10, i.height / 2), color=col)
txt = "color: " + str(i.getPixel(d.mouseX, d.mouseY))
i.dl().text(txt, (10, (i.height / 2) + 10), color=col)
print "coord: (" + str(d.mouseX) + "," + str(
d.mouseY) + "), color: " + str(
i.getPixel(d.mouseX, d.mouseY))
if elapsed_time > 0 and elapsed_time < 5:
i.dl().text("In live mode", (10, 10), color=col)
i.dl().text("Left click will show mouse coordinates and color",
(10, 20),
color=col)
i.dl().text("Right click will kill the live image", (10, 30),
color=col)
i.save(d)
if d.mouseRight:
print "Closing Window"
d.done = True
pg.quit()
def main():
picture = 'shot.png'
at = get_access_token()
cam = Camera()
display = Display((800, 600))
while display.isNotDone():
img = cam.getImage()
img.save(picture)
img.save(display)
content = FaceRecognization(at, picture)
print(content)
print(content['height'])
def live(self):
"""
**SUMMARY**
This shows a live view of the camera.
**EXAMPLE**
To use it's as simple as:
>>> cam = Camera()
>>> cam.live()
Left click will show mouse coordinates and color
Right click will kill the live image
"""
start_time = time.time()
from SimpleCV.Display import Display
i = self.getImage()
d = Display(i.size())
i.save(d)
col = Color.RED
while d.isNotDone():
i = self.getImage()
elapsed_time = time.time() - start_time
if d.mouseLeft:
txt = "coord: (" + str(d.mouseX) + "," + str(d.mouseY) + ")"
i.dl().text(txt, (10,i.height / 2), color=col)
txt = "color: " + str(i.getPixel(d.mouseX,d.mouseY))
i.dl().text(txt, (10,(i.height / 2) + 10), color=col)
print "coord: (" + str(d.mouseX) + "," + str(d.mouseY) + "), color: " + str(i.getPixel(d.mouseX,d.mouseY))
if elapsed_time > 0 and elapsed_time < 5:
i.dl().text("In live mode", (10,10), color=col)
i.dl().text("Left click will show mouse coordinates and color", (10,20), color=col)
i.dl().text("Right click will kill the live image", (10,30), color=col)
i.save(d)
if d.mouseRight:
print "Closing Window"
d.done = True
pg.quit()
def main():
while (IfWIFI()):
print("No WIFI")
picture = 'shot.jpg'
at = get_access_token()
cam = Camera()
display = Display((800, 600))
a = 1
b = 0
while display.isNotDone():
count = ser.inWaiting()
if count != 0:
recv = ser.read(count)
print(type(recv))
if recv[0] == '*' and recv[-1] == '#':
print("detected")
img = cam.getImage()
img.save(picture)
img.save(display)
name = MarketRecognization(at, picture)
print(name)
if name == "Bread":
b = 1
if name == "Cookies":
b = 2
if name == "HotStrips":
b = 3
if name == "Sepals":
b = 4
if name == "EggRolls":
b = 5
if name == "Beans":
b = 6
ser.write("*,%s,%s,#" % (a, b))
ser.flushInput()
time.sleep(0.1)
'''
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.drawRectangle(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.drawText("reading barcode... wait", 10, 10)
img.save(display)
barcode = img.findBarcode()
if barcode: # if we have a barcode
data = str(barcode.data)
print data
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
# with respect to original image
xf = face.x -(face.width()/2)
from SimpleCV import Color, Image, np, Camera
from SimpleCV.Display import Display
cam = Camera(0)
display = Display((640, 480)) # create our display
quality = 400.00
minDist = 0.35
minMatch = 0.2
template_img = None
mode = "untrained"
startX = None
startY = None
endY = None
endX = None
while (display.isNotDone()):
img = cam.getImage().resize(640, 480)
#Display this if a template has not been trained yet
if mode == "untrained":
if startX == None or startY == None:
img.dl().text("Click the upper left corner to train", (10, 10))
if display.mouseLeft:
startX = display.mouseRawX
startY = display.mouseRawY
time.sleep(0.2)
elif endX == None or endY == None:
img.dl().text("now click the lower right corner to train",
(10, 10))
if display.mouseLeft:
endX = display.mouseX
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.drawRectangle(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.drawText("reading barcode... wait",10,10)
img.save(display)
barcode = img.findBarcode()
if barcode: # if we have a barcode
data = str(barcode.data)
print data
if mydict.has_key(data):
mydict[data] = mydict[data] + 1
else:
mydict[data] = 1
img.drawText("Click to scan.",10,10,color=Color.RED)
from mouse_api import *
m = Mouse()
nf = 2
h = 0
fl=[]
reset = 0
while h<nf:
h = h + 1
snap = cam.getImage()
d = Display(snap.size())
snap.save(d)
col = Color.RED
start_time = time.time()
i=0
while d.isNotDone():
elapsed_time = time.time() - start_time
if d.mouseLeft:
txt = "coord: (" + str(d.mouseX) + "," + str(d.mouseY) + ")"
snap.dl().text(txt, (10,snap.height / 2), color=col)
txt = "color: " + str(snap.getPixel(d.mouseX,d.mouseY))
snap.dl().text(txt, (10,(snap.height / 2) + 10), color=col)
print "coord: (" + str(d.mouseX) + "," + str(d.mouseY) + "), color: " + str(snap.getPixel(d.mouseX,d.mouseY))
if i==1:
x2=d.mouseX
y2=d.mouseY
time.sleep(1)
if d.mouseLeft:
if i==0:
x1=d.mouseX
y1=d.mouseY
from mouse_api import *
m = Mouse()
nf = 2
h = 0
fl = []
reset = 0
while h < nf:
h = h + 1
snap = cam.getImage()
d = Display(snap.size())
snap.save(d)
col = Color.RED
start_time = time.time()
i = 0
while d.isNotDone():
elapsed_time = time.time() - start_time
if d.mouseLeft:
txt = "coord: (" + str(d.mouseX) + "," + str(d.mouseY) + ")"
snap.dl().text(txt, (10, snap.height / 2), color=col)
txt = "color: " + str(snap.getPixel(d.mouseX, d.mouseY))
snap.dl().text(txt, (10, (snap.height / 2) + 10), color=col)
print "coord: (" + str(d.mouseX) + "," + str(
d.mouseY) + "), color: " + str(
snap.getPixel(d.mouseX, d.mouseY))
if i == 1:
x2 = d.mouseX
y2 = d.mouseY
time.sleep(1)
if d.mouseLeft:
if i == 0:
