merge #3
@ -3,24 +3,28 @@ const int trigPin = 9;
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const int echoPin = 10;
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const int ProxSensor = 2;
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const int relayPin = 12;
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const int buzzerPin = 3;
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int inputVal = 0;
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long duration;
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int distance;
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char piInput = 'N';
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void setup() {
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pinMode(trigPin, OUTPUT); // Sets the trigPin as an Output
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pinMode(echoPin, INPUT); // Sets the echoPin as an Input
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pinMode(trigPin, OUTPUT);
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pinMode(echoPin, INPUT);
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pinMode(LED_BUILTIN, OUTPUT);
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pinMode(relayPin, OUTPUT);
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pinMode(buzzerPin, OUTPUT);
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pinMode(ProxSensor,INPUT);
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digitalWrite(buzzerPin, LOW);
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digitalWrite(relayPin, LOW);
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Serial.begin(9600); // Starts the serial communication
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pinMode(ProxSensor,INPUT); //Pin 2 is connected to the output of proximity sensor
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Serial.begin(9600);
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}
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void loop() {
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boolean IROK = false;
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boolean UltraOK = false;
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// Clears the trigPin
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@ -45,6 +49,7 @@ void loop() {
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if (IROK && UltraOK && Serial.available() > 0 ){
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if (Serial.read() == 'O') {
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digitalWrite(relayPin, HIGH);
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playBuzzer(2,false);
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delay(5000);
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digitalWrite(relayPin, LOW);
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IROK = false;
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@ -64,7 +69,26 @@ void serialFlush(){
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while(Serial.available() > 0) {
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char t = Serial.read();
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}
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}
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}
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void playBuzzer(int time, boolean ok){
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if (ok) {
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tone(buzzerPin, 1000);
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delay(time/3);
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noTone(buzzerPin);
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delay(time/5);
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tone(buzzerPin,1000);
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delay(time/3);
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noTone(buzzerPin);
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}
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else {
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tone(buzzerPin, 1000);
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delay(time);
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noTone(buzzerPin);
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}
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}
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|
68
main.py
68
main.py
@ -4,10 +4,12 @@ from io import BytesIO
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import os
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import serial
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import sys
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import json
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try:
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import numpy as np
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from picamera import PiCamera
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from picamera.array import PiRGBArray
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import cv2
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except Exception as ex:
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@ -20,7 +22,7 @@ def init():
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try:
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||||
camera = PiCamera()
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camera.resolution = (640, 480)
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sleep(2)
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sleep(0.2)
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print('[ OK ] Camera')
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except:
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print('[ Error ] Can not initialize PiCamera')
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@ -44,16 +46,22 @@ def init():
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||||
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def start( camera, face_cascade):
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j = 0
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while True:
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rawCapture = PiRGBArray(camera)
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||||
#camera.framerate = 32
|
||||
#rawCapture = PiRGBArray(camera, size=(640, 480))
|
||||
#for frame in camera.capture_continuous(rawCapture, format="bgr", use_video_port=True):
|
||||
while 1:
|
||||
#try:
|
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camera.capture('img.jpg')
|
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img = cv2.imread('img.jpg',1)
|
||||
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
|
||||
faces = face_cascade.detectMultiScale(gray, 1.1, 4)
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||||
#camera.capture('img.jpg')
|
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#img = cv2.imread('img.jpg',1)
|
||||
camera.capture(rawCapture, format="bgr")
|
||||
img = rawCapture.array
|
||||
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
|
||||
faces = face_cascade.detectMultiScale(gray, 1.2,5)
|
||||
i = 0;
|
||||
for (x,y,w,h) in faces:
|
||||
i += 1
|
||||
j += 1
|
||||
j += 1
|
||||
roi_gray = gray[y:y+h, x:x+w]
|
||||
roi_color = img[y:y+h, x:x+w]
|
||||
person = recognize(roi_gray)
|
||||
@ -65,6 +73,7 @@ def start( camera, face_cascade):
|
||||
|
||||
cv2.imshow('image',img)
|
||||
cv2.waitKey(100)
|
||||
rawCapture.truncate(0)
|
||||
if cv2.waitKey(1) & 0xFF == ord('q'):
|
||||
cv2.destroyAllWindows()
|
||||
break
|
||||
@ -73,52 +82,33 @@ def start( camera, face_cascade):
|
||||
#print('[ Error ] Unexpected exception')
|
||||
#print('Closing')
|
||||
#break
|
||||
|
||||
def train(number):
|
||||
|
||||
train_path = 'train/'
|
||||
face_recognizer = cv2.createLBPHFaceRecognizer()
|
||||
images = []
|
||||
labels = []
|
||||
image_names = os.listdir(train_path)
|
||||
for image_name in image_names:
|
||||
if image_name.startswith("."):
|
||||
continue;
|
||||
image_path = train_path + image_name
|
||||
image = cv2.imread(image_path)
|
||||
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
|
||||
images.append(gray)
|
||||
labels.append(number)
|
||||
print('training')
|
||||
face_recognizer.train(images, np.array(labels))
|
||||
face_recognizer.save('faces/hesham')
|
||||
|
||||
|
||||
def recognize(image):
|
||||
|
||||
subjects = ['','Hesham','Saeed']
|
||||
names = loadNames()
|
||||
face_recognizer = cv2.createLBPHFaceRecognizer()
|
||||
face_recognizer.load('faces/m')
|
||||
img = image.copy()
|
||||
img = image.copy()
|
||||
label= face_recognizer.predict(img)
|
||||
print(label)
|
||||
if label[0] == 1 and int(label[1]) < 120:
|
||||
return 'Hesham'
|
||||
elif label[0] == 2 and int(label[1]) < 120:
|
||||
return 'Safwan'
|
||||
elif label[0] == 4 and int(label[1]) < 120:
|
||||
return 'Hesham2'
|
||||
if label[1] > 120:
|
||||
return 'unknown'
|
||||
else:
|
||||
return 'Unknown'
|
||||
|
||||
return names[label[0]]
|
||||
|
||||
def OpenShifter():
|
||||
try:
|
||||
ser = serial.Serial('/dev/ttyUSB1',9600)
|
||||
ser = serial.Serial('/dev/ttyUSB0',9600)
|
||||
#ser.open()
|
||||
ser.write('O')
|
||||
ser.close()
|
||||
except Exception as ex:
|
||||
print('[ Error ] Can not connect to Arduino at /dev/ttyUSB1 ..')
|
||||
|
||||
def loadNames():
|
||||
|
||||
with open("faces/names.json", "r") as read_file:
|
||||
data = json.load(read_file)
|
||||
return list(data)
|
||||
|
||||
|
||||
init()
|
||||
|
31
trainer.py
31
trainer.py
@ -5,6 +5,7 @@ import cv2
|
||||
import numpy as np
|
||||
import os
|
||||
import sys
|
||||
import json
|
||||
|
||||
|
||||
picCount = 0
|
||||
@ -13,6 +14,7 @@ new = False
|
||||
def start():
|
||||
print('Starting training..')
|
||||
label = int(input('Label (Integer): '))
|
||||
name = str(raw_input('Person name: '))
|
||||
picCount = int(input('Number of Photos: '))
|
||||
global new
|
||||
new = promptNew()
|
||||
@ -25,11 +27,11 @@ def start():
|
||||
oldFileName = str(raw_input('Old File name: '))
|
||||
newFileName = str(raw_input('New File name: '))
|
||||
clearTrainFolder()
|
||||
print('Press any key to start capture..')
|
||||
dum = input('')
|
||||
dum = input('Press any key to start capture..')
|
||||
capture(picCount)
|
||||
addPerson(label, newFileName, oldFileName)
|
||||
|
||||
addName(name)
|
||||
|
||||
def clearTrainFolder():
|
||||
print('clearing train folder')
|
||||
filelist = [ f for f in os.listdir('train/') if f.endswith(".jpg") ]
|
||||
@ -64,6 +66,8 @@ def addPerson(label, newFileName, oldFileName):
|
||||
for (x,y,w,h) in faces:
|
||||
images.append(gray[y:y+h, x:x+w])
|
||||
labels.append(label)
|
||||
cv2.imshow('face',gray[y:y+h, x:x+w])
|
||||
cv2.waitKey(100)
|
||||
print('Learning '+ image_name)
|
||||
if new:
|
||||
face_recognizer.train(images, np.array(labels))
|
||||
@ -102,5 +106,22 @@ def promptNew():
|
||||
else:
|
||||
print('incorrect input')
|
||||
promptNew()
|
||||
|
||||
start()
|
||||
|
||||
def addName(newName):
|
||||
|
||||
with open("faces/names.json", "r") as read_file:
|
||||
exist = False
|
||||
namesJson = json.load(read_file)
|
||||
names = list(namesJson)
|
||||
i = 0
|
||||
for name in names:
|
||||
if newName == name:
|
||||
exist = True
|
||||
print('name already in names list with index '+str(i))
|
||||
i += 1
|
||||
if not exist:
|
||||
names.append(newName)
|
||||
print('Added '+newName+'to names.json file')
|
||||
with open("faces/names.json","w") as write_file:
|
||||
json.dump(names,write_file)
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user