def servoturn():
servo = Servo("s1")
servo.attach(3)
time.sleep(0.05)
# From 0 to 180 degrees
for angle in range(0,180):
servo.write(angle)
time.sleep(0.05)
def facial_rec():
out_dir = None
servo = Servo("s1")
servo.attach(3) #attaches to pin 3 in pwm
print("New picture has been found in library")
# if len(sys.argv) < 2:
# print "USAGE: facerec_demo.py </path/to/images> [</path/to/store/images/at>]"
# sys.exit()
# Now read in the image data. This must be a valid path!
[X,y] = read_images(sys.argv[1], (200, 100))
face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
img = cv2.imread(os.path.join(sys.argv[1], 'face.png'))
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (p,q,r,s) in faces:
cv2.rectangle(gray,(p,q),(p+r,q+s),(150,125,0),2)#drawing a rectangle indicating face
sample = gray[q:q+s, p:p+r]
# resize to given size (if given)
sample = cv2.resize(gray, (200,100))
sIm = np.frombuffer(sample, dtype=np.uint8)
y = np.asarray(y, dtype=np.int32)
if len(sys.argv) == 3:
out_dir = sys.argv[2]
model = cv2.createFisherFaceRecognizer()
model.train(np.asarray(X), np.asarray(y))
[p_label, p_confidence] = model.predict(np.asarray(sIm)) #replace sIm with another
print "Predicted label = %d (confidence=%.2f)" % (p_label, p_confidence)
if(p_confidence > 0):
print "Face does not match"
blinkLed = mraa.Gpio(LED_GPIO3) # Get the LED pin object
blink(blinkLed)
else:
print "Face Matches!!!!!"
servoturn()
if out_dir is None:
cv2.waitKey(0)
def main():
servo1 = Servo("First Servo")
servo1.attach(5)
servo2 = Servo("Second Servo")
servo2.attach(3)
servo1.write(86)
servo2.write(85)
servo3 = Servo("Third Servo")
servo3.attach(6)
servo3.write(87)
oldDoor = "False"
while 1:
# print "shoot"
# shoot(servo1,servo2)
# time.sleep(2)
print "start"
try:
match, ready, confidence, door = callApi()
print "good"
print "door", door
if door != oldDoor:
print door,
print oldDoor
oldDoor = door
moveDoor(door, servo3)
if ready == "True":
if match == "False" or confidence < 0.58:
shoot(servo1, servo2)
print "shoot"
except:
print "bad"
----------------------------------------------------------
Author Date Description
----------------------------------------------------------
Diego Villalobos 02-12-2015 Example created
"""
# Libraries required
from Servo import *
import time
# Create a new servo object with a reference name
myServo = Servo("First Servo")
# Attaches the servo to pin 3 in Arduino Expansion board
myServo.attach(3)
# Print servo settings
print ""
print "*** Servo Initial Settings ***"
print myServo
print ""
try:
# Sweeps the servo motor forever
while True:
# From 0 to 180 degrees
for angle in range(0,180):
myServo.write(angle)
time.sleep(0.005)
import cv2
import urllib
import time
import numpy as np
import mraa
from Servo import *
myServo = Servo("Servo")
myServo.attach(9)
def getFrame(Camera_IP):
imageFile = urllib.URLopener()
imageFile.retrieve("http://"+ Camera_IP + ":8080/shot.jpg", 'shot.jpg')
def main():
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
camIP = raw_input("Insert your android camera's IP: ")
while(1):
getFrame(camIP)
img = cv2.imread('shot.jpg',0)
faces = face_cascade.detectMultiScale(img, 1.3, 5)
if len (faces) > 0:
print ("Rostro Detectado!")
for angle in range(0,180):
myServo.write(angle)
time.sleep(0.005)
# From 180 to 0 degrees
for angle in range(180,-1,-1):
myServo.write(angle)
----------------------------------------------------------
Author Date Description
----------------------------------------------------------
Diego Villalobos 02-12-2015 Example created
"""
# Libraries required
from Servo import *
import time
# Create a new servo object with a reference name
myServo = Servo("First Servo")
# Attaches the servo to pin 3 in Arduino Expansion board
myServo.attach(3)
# Print servo settings
print ""
print "*** Servo Initial Settings ***"
print myServo
print ""
try:
# Sweeps the servo motor forever
while True:
# From 0 to 180 degrees
for angle in range(0, 180):
myServo.write(angle)
time.sleep(0.005)
myLCD.write("FaceLock")
myLCD.setCursor(1, 0)
myLCD.write("Press button")
servo.write(0)
BUTTON_PIN = 2
button = mraa.Gpio(BUTTON_PIN)
button.dir(mraa.DIR_IN)
## The LCD can only display 16 characters per line
myLCD = lcd.Jhd1313m1(0, 0x3E, 0x62)
servo = Servo("Lock")
servo.attach(3)
greeting()
while True:
if button.read():
permissionGranted = authenticate()
if permissionGranted:
granted()
else:
denied()
greeting()
from Servo import *
import time, sys
leftRight = Servo("First Servo")
upDown = Servo("Second Servo")
# Attaches the servo to pin 3 in Arduino Expansion board
leftRight.attach(3)
upDown.attach(5)
for angle in range(90, 110):
leftRight.write(angle)
time.sleep(0.005)
for angle in range(70, 120):
upDown.write(angle)
time.sleep(0.005)
for angle in range(120, 70, -1):
upDown.write(angle)
time.sleep(0.005)
for angle in range(110, 90, -1):
leftRight.write(angle)
time.sleep(0.005)
myLCD.setCursor(0, 0)
myLCD.write("FaceLock")
myLCD.setCursor(1, 0)
myLCD.write("Press button")
servo.write(0)
BUTTON_PIN = 2
TRAINING_BUTTON_PIN = 8
button = mraa.Gpio(BUTTON_PIN)
training_button = mraa.Gpio(TRAINING_BUTTON_PIN)
button.dir(mraa.DIR_IN)
training_button.dir(mraa.DIR_IN)
## The LCD can only display 16 characters per line
myLCD = lcd.Jhd1313m1(0, 0x3E, 0x62)
servo = Servo("Lock")
servo.attach(3)
greeting()
while True:
if button.read():
authenticate()
if training_button.read():
training_interface.begin_training()
greeting()
time.sleep(0.1)
