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3 changed files with 106 additions and 113 deletions

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@ -1 +1 @@
### Python code to run in Raspberry Pi with PiCamera to recognize certin faces. ### Python code to run in Raspberry Pi with PiCamera to recognize certin faces and send a Serial signal 'o' to be received by arduino.

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@ -64,7 +64,7 @@ def start( camera, face_cascade):
img = rawCapture.array img = rawCapture.array
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3,5) faces = face_cascade.detectMultiScale(gray, 1.3,5)
i = 0 i = 0;
for (x,y,w,h) in faces: for (x,y,w,h) in faces:
i += 1 i += 1
j += 1 j += 1
@ -110,8 +110,6 @@ def recognize(image,face_recognizer, names):
print(str(label) + ' >>'+names[label[0]]) print(str(label) + ' >>'+names[label[0]])
return names[label[0]] return names[label[0]]
#def DrawSquares(image,gray,faces,color):
def OpenShifter(): def OpenShifter():
try: try:
ser = serial.Serial('/dev/ttyUSB0',9600) ser = serial.Serial('/dev/ttyUSB0',9600)

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@ -7,10 +7,10 @@ import os
import sys import sys
import json import json
picCount = 0 picCount = 0
new = False new = False
def start(): def start():
print('Starting training..') print('Starting training..')
label = int(input('Label (Integer): ')) label = int(input('Label (Integer): '))
@ -32,24 +32,22 @@ def start():
addPerson(label, newFileName, oldFileName) addPerson(label, newFileName, oldFileName)
addName(name) addName(name)
def clearTrainFolder(): def clearTrainFolder():
print('clearing train folder') print('clearing train folder')
filelist = [f for f in os.listdir('train/') if f.endswith(".jpg")] filelist = [ f for f in os.listdir('train/') if f.endswith(".jpg") ]
for f in filelist: for f in filelist:
os.remove(os.path.join('train/', f)) os.remove(os.path.join('train/', f))
def addPerson(label, newFileName, oldFileName): def addPerson(label, newFileName, oldFileName):
try: try:
# faceFilePath = '/faces/hesham-saeed2' #faceFilePath = '/faces/hesham-saeed2'
faceFile = 'faces/' + oldFileName faceFile = 'faces/'+ oldFileName
face_recognizer = cv2.createLBPHFaceRecognizer() face_recognizer = cv2.createLBPHFaceRecognizer()
global new global new
if new: if new:
print('new file. skipping load function') print 'new file. skipping load function'
else: else:
print('loading old file') print 'loading old file'
face_recognizer.load(faceFile) face_recognizer.load(faceFile)
except: except:
print('[ Error ] Problem in init/loading LBPHfacerecognizer') print('[ Error ] Problem in init/loading LBPHfacerecognizer')
@ -65,19 +63,18 @@ def addPerson(label, newFileName, oldFileName):
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
faces = face_cascade.detectMultiScale(gray, 1.3, 5) faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x, y, w, h) in faces: for (x,y,w,h) in faces:
images.append(gray[y:y + h, x:x + w]) images.append(gray[y:y+h, x:x+w])
labels.append(label) labels.append(label)
cv2.imshow('face', gray[y:y + h, x:x + w]) cv2.imshow('face',gray[y:y+h, x:x+w])
cv2.waitKey(100) cv2.waitKey(100)
print('Learning ' + image_name) print('Learning '+ image_name)
if new: if new:
face_recognizer.train(images, np.array(labels)) face_recognizer.train(images, np.array(labels))
else: else:
face_recognizer.update(images, np.array(labels)) face_recognizer.update(images, np.array(labels))
face_recognizer.save('faces/' + newFileName) face_recognizer.save('faces/'+newFileName)
print('Updated and saved file in faces/' + newFileName) print('Updated and saved file in faces/'+newFileName)
def capture(count): def capture(count):
try: try:
@ -89,18 +86,17 @@ def capture(count):
except: except:
print('[ Error ] Can not initialize PiCamera') print('[ Error ] Can not initialize PiCamera')
sys.exit() sys.exit()
for i in range(1, count + 1): for i in range(1, count+1):
pic = 'train/' + str(i) + '.jpg' pic = 'train/'+str(i)+'.jpg'
camera.capture(pic) camera.capture(pic)
photo = cv2.imread(pic, 1) photo = cv2.imread(pic,1)
cv2.imshow('Photo', photo) cv2.imshow('Photo',photo)
print('Captured ' + str(i) + '\nPath ' + pic) print('Captured '+str(i)+'\nPath '+ pic)
cv2.waitKey(100) cv2.waitKey(100)
sleep(1) sleep(1)
cv2.destroyAllWindows() cv2.destroyAllWindows()
print('Done!') print('Done!')
def promptNew(): def promptNew():
filemode = raw_input('Make new File? (y/n): ') filemode = raw_input('Make new File? (y/n): ')
if filemode == 'y': if filemode == 'y':
@ -111,8 +107,8 @@ def promptNew():
print('incorrect input') print('incorrect input')
promptNew() promptNew()
def addName(newName): def addName(newName):
with open("faces/names.json", "r") as read_file: with open("faces/names.json", "r") as read_file:
exist = False exist = False
namesJson = json.load(read_file) namesJson = json.load(read_file)
@ -121,13 +117,12 @@ def addName(newName):
for name in names: for name in names:
if newName == name: if newName == name:
exist = True exist = True
print('name already in names list with index ' + str(i)) print('name already in names list with index '+str(i))
i += 1 i += 1
if not exist: if not exist:
names.append(newName) names.append(newName)
print('Added ' + newName + 'to names.json file') print('Added '+newName+'to names.json file')
with open("faces/names.json", "w") as write_file: with open("faces/names.json","w") as write_file:
json.dump(names, write_file) json.dump(names,write_file)
start() start()