def get_image(monitor):
"""
Retrieves the image for the defined monitor.
:param monitor: the monitor
:type monitor: str
"""
global config, monitors, recent_images
ts = datetime.now()
filename = ts.strftime(config['general']['timestamp'])
# paused?
out_dir = monitors[monitor]['output']
out_file = out_dir + os.sep + filename
try:
if not os.path.exists(out_dir + os.sep + "PAUSED"):
urllib.urlretrieve(monitors[monitor]['url'], out_file)
recent_images[monitor].insert(0, out_file)
recent_images[monitor] = recent_images[monitor][:2]
# detect motion?
if monitors[monitor]['detect_motion'] and (len(recent_images[monitor]) == 2):
ratio, detected = motion.detect_motion(
recent_images[monitor][0],
recent_images[monitor][1],
monitors[monitor]['threshold'])
# delete old file?
if not detected:
os.remove(recent_images[monitor][1])
except Exception, e:
print(e)
while(True):
#Capacity Detection
fullCapacity = 63 #25 inches ~ 63.5 cm
ultrasonicValue = detect_capacity(inputTrigger, inputEcho)
#Get distance from closest trash pile
distance = fullCapacity - ultrasonicValue
#Compute the capacity
capacity = (((fullCapacity - distance)/fullCapacity) * 100)
#Put the capacity value in the API
putdata("capacity", capacity)
#Object Detection
motion = detect_motion(inputMotion)
if (motion == True):
print("Motion detected")
#Turn on the LED strip
GPIO.output(inputLED, True)
#Configure the lid
GPIO.output(inputLid, True) #Lid opens
time.sleep(2)
GPIO.output(inputLid, False) #Lid closes
#Take picture
capture()
#Turn of LED strip
if(new_data[i]==chr(255) and new_data[i+1]==chr(217)):
#Record the last byte address of this chunk
end_write=i+2
#Record that we are no longer in a file
in_file=False
#Perform our final write
f.write(new_data[start_write:end_write])
#Record that we are done writing to this file
file_write==False
#Close the file
f.close()
#if not the first image then look for motion
if (first_image==False):
# difference = motion.compare(filename, prior_filename)
# print "Hue Variation : " , int(difference)
motion_level = motion.detect_motion(prior_filename, filename, settings.rgb_threshold, settings.rgb_blocksize, settings.rgb_outline, settings.rgb_outline_color)
os.remove(prior_filename)
print "Motion Level :", int(motion_level)
if motion_level > settings.threshold:
shutil.copy(filename, "motion/")
if settings.rgb_outline:
shutil.copy(filename + ".outlined.jpg", "motion.outlined/")
os.remove(filename + ".outlined.jpg")
#record the filename of the image we just created as the prior image
prior_filename=filename
#Record we are no longer after the first iamge
first_image=False
else:
