#!/usr/bin/python
"""
This SimpleCV example uses a technique called frame differencing to determine
if motion has occurred. You take an initial image, then another, subtract
the difference, what is left over is what has changed between those two images
this are typically blobs on the images, so we do a blob search to count
the number of blobs and if they exist then motion has occurred
"""
import time
from simplecv.api import Camera, Blob
cam = Camera() # setup the camera
# settings for the project
# make the threshold adaptable for various camera sizes
min_size = 0.1 * cam.get_property("width") * cam.get_property("height")
thresh = 10 # frame diff threshold
show_message_for = 2 # the amount of seconds to show the motion detected message
motion_timestamp = int(time.time())
message_text = "Motion detected"
draw_message = False
last_img = cam.get_image()
last_img.show()
while True:
new_img = cam.get_image()
track_img = new_img - last_img # diff the images
blobs = track_img.find(Blob) # use adaptive blob detection
now = int(time.time())
#!/usr/bin/python
"""
This program basically simulates some kind of 80's music video.
"""
print __doc__
from simplecv.api import Camera, Blob
cam = Camera()
# settings for the project
min_size = 0.1 * cam.get_property("width") * cam.get_property("height") # Change threshold
thresh = 10 # frame difference threshold
last_img = cam.get_image()
last_img.dl().text("Move around to get the party started!", (5, 5))
last_img.show()
while True:
new_img = cam.get_image()
track_img = new_img - last_img # difference the images
blobs = track_img.find(Blob, -1, threshblocksize=99) # use adapative blob detection
if blobs:
blobs.draw(autocolor=True)
track_img.show()
last_img = new_img # update the image
#!/usr/bin/python
"""
This SimpleCV example uses a technique called frame differencing to determine
if motion has occurred. You take an initial image, then another, subtract
the difference, what is left over is what has changed between those two images
this are typically blobs on the images, so we do a blob search to count
the number of blobs and if they exist then motion has occurred
"""
import time
from simplecv.api import Camera, Blob
cam = Camera() # setup the camera
# settings for the project
# make the threshold adaptable for various camera sizes
min_size = 0.1 * cam.get_property("width") * cam.get_property("height")
thresh = 10 # frame diff threshold
show_message_for = 2 # the amount of seconds to show the motion detected message
motion_timestamp = int(time.time())
message_text = "Motion detected"
draw_message = False
last_img = cam.get_image()
last_img.show()
while True:
new_img = cam.get_image()
track_img = new_img - last_img # diff the images
blobs = track_img.find(Blob) # use adaptive blob detection
now = int(time.time())