#!/usr/bin/python
import time, webbrowser
from operator import add
from SimpleCV import Color, ColorCurve, Kinect, Image, pg, np
from SimpleCV.Display import Display
d = Display()
#create video streams
cam = Kinect()
#initialize the camera
compositeframe = 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.getNumpy())
if mindepth < 180:
depthbin = depth.binarize(np.min(depth.getNumpy()) + np.std(depth.getNumpy()) / 4).erode(3)
#take the front 1/4 stdev of the depth map
img = img.crop(0,25, 605, 455).scale(640,480)
#!/usr/bin/python from SimpleCV import Kinect, Image, pg, np, time from SimpleCV.Display import Display d = Display(flags = pg.FULLSCREEN) #create video streams cam = Kinect() #initialize the camera 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.morphOpen() motion_img_open.show() depth = new_depth
#!/usr/bin/python
from SimpleCV import Kinect, Image, pg, np, time
from SimpleCV.Display import Display
d = Display(flags=pg.FULLSCREEN)
#create video streams
cam = Kinect()
#initialize the camera
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.morphOpen()
motion_img_open.show()
depth = new_depth
from SimpleCV import Kinect
# Initialize the Kinect
kin = Kinect()
# Initialize the display
display = kin.getDepth().show()
# Run in a continuous loop forever
while (True):
# Snaps a picture, and returns the grayscale depth map
depth = kin.getDepth()
# Show the actual image on the screen
depth.save(display)
def __init__(self, disable=False):
self.__dict__ = self.__shared_state
#ActiveState "Borg" Singleton replacement design
if self.initialized:
return #successive calls to SimpleSeer simply return the borg'd object
if disable:
self.initialized = True
self.disabled = True
return
#read config file
self.config = Session()
self.cameras = []
for camera in self.config.cameras:
camerainfo = camera.copy()
if camerainfo.has_key('virtual'):
self.cameras.append(VirtualCamera(camerainfo['source'], camerainfo['virtual']))
elif camerainfo.has_key('directory'):
self.cameras.append(util.DirectoryCamera(camerainfo['directory']))
elif camerainfo.has_key('kinect'):
k = Kinect()
k._usedepth = 0
k._usematrix = 0
if camerainfo["kinect"] == "depth":
k._usedepth = 1
elif camerainfo["kinect"] == "matrix":
k._usematrix = 1
self.cameras.append(k)
else:
id = camerainfo['id']
del camerainfo['id']
del camerainfo['name']
if camerainfo.has_key('crop'):
del camerainfo['crop']
self.cameras.append(Camera(id, camerainfo))
#log initialized camera X
self.reloadInspections() #initialize inspections so they get saved to redis
util.load_plugins()
self.lastframes = []
self.framecount = 0
#log display started
self.initialized = True
if self.config.arduino:
self.controls = Controls(self.config.arduino, self)
super(SimpleSeer, self).__init__()
self.daemon = True
self.capture()
#~ Inspection.inspect()
#self.update()
self.connection_file = None
if self.config.auto_start:
self.start()
from SimpleCV import Kinect import time kin = Kinect() img = kin.getImage() img.show() time.sleep(5)
from SimpleCV import Kinect, Display
import time
# Initialize the Kinect
kin = Kinect()
# Initialize the display
disp = Display((640,480))
# This should be adjusted to set how many pixels
# represent an inch in the system's environment
pixelsToInches = 6
while not disp.isDone():
img = kin.getDepth()
blobs = img.binarize().findBlobs()
if blobs:
img.drawText(str(blobs[-1].height() / pixelsToInches) + " inches", 10, 10)
img.save(disp)
time.sleep(1)
from SimpleCV import Kinect, Display
import time
# Initialize the Kinect
kin = Kinect()
# Initialize the display
disp = Display((640, 480))
# This should be adjusted to set how many pixels
# represent an inch in the system's environment
pixelsToInches = 6
while not disp.isDone():
img = kin.getDepth()
blobs = img.binarize().findBlobs()
if blobs:
img.drawText(
str(blobs[-1].height() / pixelsToInches) + " inches", 10, 10)
img.save(disp)
time.sleep(1)
#!/usr/bin/python
from SimpleCV import Kinect, Image, pg, np, time
from SimpleCV.Display import Display
d = Display()
#create video streams
cam = Kinect()
#initialize the camera
# porto a bianco tutte le sfumature in depth da 200 a 2048
depth = cam.getDepth()#.stretch(0,1800)
while True:
new_depth = cam.getDepth()#.stretch(0,1800)
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.morphOpen()
motion_img_open.show()
depth = new_depth
from SimpleCV import Kinect import time # Initialize the Kinect kin = Kinect() # Get the image and depth information dep = kin.getDepth() img = kin.getImage() # Turn into a pure black and white image for segmentation fore = dep.binarize(190).invert() fore_only = img - fore fore_only.show() # Keep the image open for 10 seconds time.sleep(10)
