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Author SHA1 Message Date
e17b2bf461 Exception of imports 2019-01-19 20:11:37 +03:00
2 changed files with 120 additions and 126 deletions

35
main.py
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@ -1,21 +1,20 @@
from time import sleep from time import sleep
from PIL import Image
import os
import serial
import sys import sys
import os
import json import json
import datetime import datetime
try: try:
import numpy as np import numpy as np
from picamera import PiCamera from picamera import PiCamera
from picamera.array import PiRGBArray from picamera.array import PiRGBArray
import cv2 import serial
import cv2
except Exception as ex: except Exception as ex:
print('[ Error ] some depandincies are missing\n'+ str(ex.args)) print('[ Error ] some depandincies are missing\n'+ str(ex.args))
sys.exit() sys.exit()
def init(): def init():
go = True go = True
@ -36,17 +35,17 @@ def init():
except: except:
print('[ Error ] Can not load cascade File') print('[ Error ] Can not load cascade File')
go = False go = False
try: try:
os.mkdir('unknown') os.mkdir('unknown')
except OSError as ex: except OSError as ex:
print('Found (unknown) folder') print('Found (unknown) folder')
if (go): if (go):
print('Starting Photo loop..') print('Starting Photo loop..')
print('Known people are '+str(loadNames())) print('Known people are '+str(loadNames()))
start(camera, face_cascade) start(camera, face_cascade)
else: else:
print('closing') print('closing')
def start( camera, face_cascade): def start( camera, face_cascade):
@ -88,16 +87,16 @@ def start( camera, face_cascade):
else: else:
print('Found '+person) print('Found '+person)
OpenShifter() OpenShifter()
cv2.imshow('image',img) cv2.imshow('image',img)
cv2.waitKey(1) cv2.waitKey(1)
rawCapture.truncate(0) rawCapture.truncate(0)
if cv2.waitKey(1) & 0xFF == ord('q'): if cv2.waitKey(1) & 0xFF == ord('q'):
cv2.destroyAllWindows() cv2.destroyAllWindows()
break break
def recognize(image,face_recognizer, names): def recognize(image,face_recognizer, names):
try: try:
img = image.copy() img = image.copy()
label= face_recognizer.predict(img) label= face_recognizer.predict(img)
@ -127,7 +126,7 @@ def OpenShifter():
ser.close() ser.close()
except: except:
print('[ Error ] Can not connect to Arduino at /dev/ttyUSB1 ..') print('[ Error ] Can not connect to Arduino at /dev/ttyUSB1 ..')
def loadNames(): def loadNames():
try: try:
with open("faces/names.json", "r") as read_file: with open("faces/names.json", "r") as read_file:

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@ -7,127 +7,122 @@ 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): '))
name = str(raw_input('Person name: ')) name = str(raw_input('Person name: '))
picCount = int(input('Number of Photos: ')) picCount = int(input('Number of Photos: '))
global new global new
new = promptNew() new = promptNew()
if new: if new:
newFileName = str(raw_input('New File name: ')) newFileName = str(raw_input('New File name: '))
oldFileName = newFileName oldFileName = newFileName
else: else:
print('Found in faces:') print('Found in faces:')
print(os.listdir('faces/')) print(os.listdir('faces/'))
oldFileName = str(raw_input('Old File name: ')) oldFileName = str(raw_input('Old File name: '))
newFileName = str(raw_input('New File name: ')) newFileName = str(raw_input('New File name: '))
clearTrainFolder() clearTrainFolder()
dum = input('Press any key to start capture..') dum = input('Press any key to start capture..')
capture(picCount) capture(picCount)
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')
sys.exit() sys.exit()
images = [] images = []
labels = [] labels = []
image_names = os.listdir('train/') image_names = os.listdir('train/')
for image_name in image_names: for image_name in image_names:
if image_name.startswith('.'): if image_name.startswith('.'):
continue; continue;
image_path = 'train/' + image_name image_path = 'train/' + image_name
image = cv2.imread(image_path) image = cv2.imread(image_path)
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:
print('Initializing camera') print('Initializing camera')
camera = PiCamera() camera = PiCamera()
camera.resolution = (640, 480) camera.resolution = (640, 480)
print('[ OK ] Camera') print('[ OK ] Camera')
sleep(2) sleep(2)
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':
return True return True
elif filemode == 'n': elif filemode == 'n':
return False return False
else: else:
print('incorrect input') print('incorrect input')
promptNew() promptNew()
def addName(newName): def addName(newName):
with open("faces/names.json", "r") as read_file:
exist = False with open("faces/names.json", "r") as read_file:
namesJson = json.load(read_file) exist = False
names = list(namesJson) namesJson = json.load(read_file)
i = 0 names = list(namesJson)
for name in names: i = 0
if newName == name: for name in names:
exist = True if newName == name:
print('name already in names list with index ' + str(i)) exist = True
i += 1 print('name already in names list with index '+str(i))
if not exist: i += 1
names.append(newName) if not exist:
print('Added ' + newName + 'to names.json file') names.append(newName)
with open("faces/names.json", "w") as write_file: print('Added '+newName+'to names.json file')
json.dump(names, write_file) with open("faces/names.json","w") as write_file:
json.dump(names,write_file)
start() start()