Example #1
0
def see(polly,camera):
	camera.capture(filename)
	camera.close()
	topn = inception_predict.predict_from_local_file(filename, N=5)
	print topn
	top1 = topn[0]
	# Convert probability to integer percentage
	prob = (str)((int)(top1[0]*100))
	# Remove category number
	item = top1[1].split(' ')
	item = ' '.join(item[1:])
	message = "I'm "+prob+"% sure that this is a "+item+". "
	return message
Example #2
0
 return ''.join(random.choice(string.lowercase) for i in range(length))

#while True:

# Create unique image name
uniqueid = 'mxnet_uuid_{0}_{1}'.format(randomword(3),strftime("%Y%m%d%H%M%S",gmtime()))

ret, frame = cap.read()

imgdir = 'images/'
filename = 'tx1_image_{0}_{1}.jpg'.format(randomword(3),strftime("%Y%m%d%H%M%S",gmtime()))
cv2.imwrite(imgdir + filename, frame)

# Run inception prediction on image
try:
     topn = inception_predict.predict_from_local_file(imgdir + filename, N=5)
except:
     errorcondition = "true"

# CPU Temp
f = open("/sys/devices/virtual/thermal/thermal_zone1/temp","r")
cputemp = str( f.readline() )
cputemp = cputemp.replace('\n','')
cputemp = cputemp.strip()
cputemp = str(round(float(cputemp)) / 1000)
cputempf = str(round(9.0/5.0 * float(cputemp) + 32))
f.close()

# GPU Temp
f = open("/sys/devices/virtual/thermal/thermal_zone2/temp","r")
gputemp = str( f.readline() )
Example #3
0
#filename = '/home/pi/cap.jpg'
filename = '/tmp/cap.jpg'
# camera.start_preview()
# camera.capture(filename)
cv2.imwrite(filename, image)

vidcap.release()

# camera.stop_preview()
fin = open(filename, 'rb')
encoded_image_bytes = fin.read()
fin.close()
logging.info("Finalizando o processamento de imagem")

logging.info("Iniciando o inception_predict")
topn = inception_predict.predict_from_local_file(filename, N=2)
logging.info("Finalizando o inception_predict")

# MQTT settings
logging.info("Iniciando a insercao do label no MQTT")
topicname = 'recyclesorter/demo-' + str(datetime.now().strftime("%Y-%m-%d-%H"))
deviceid = random.choice(deviceids)
datetimenow = str(datetime.now())
myAWSIoTMQTTClient.connect()
horizonalpin = 15
vertizalpin = 12

recylefound = 0

logging.info("Finalizando a insercao do label no MQTT")
Example #4
0
#if not use_motion_capture:
camera = picamera.PiCamera()

while True:

    if use_motion_capture:
        if (GPIO.input(motion_sensor_pin)):
            print('Motion detected at ', timestamp())
            #            with picamera.PiCamera() as camera:
            #                camera.resolution = (1024, 1024)
            time.sleep(2)
            t = timestamp()
            fname = image_directory + t + '.jpg'
            camera.capture(fname)
            print('saved image', fname)
            topn, predstr = inception_predict.predict_from_local_file(fname,
                                                                      N=5)
            print(predstr)
            with open(prediction_directory + t + '.json', 'wa') as f:
                json.dump(predstr, f)

    else:
        # Take the jpg image from camera
        print("Capturing")
        filename = '/home/pi/cap.jpg'
        # Show quick preview of what's being captured
        camera.start_preview()
        camera.capture(filename)
        camera.stop_preview()

        # Run inception prediction on image
        print("Predicting")