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2 Commits

Author SHA1 Message Date
617bb779c0 WIP: add multi-version support
Beter Init function
2019-01-22 20:25:08 +03:00
83de5c2894 WebCam capture (Not tested) 2018-12-07 12:21:18 +03:00

93
main.py
View File

@ -7,28 +7,51 @@ import sys
import json
import datetime
piCamAvailable = False
try:
import numpy as np
from picamera import PiCamera
from picamera.array import PiRGBArray
import cv2
piCamAvailable = True
except Exception as ex:
print('[ Error ] some depandincies are missing\n'+ str(ex.args))
piCamAvailable = False;
try:
import cv2
except Exception as ex:
print('Could not load OpenCV\Closing')
sys.exit()
def init():
go = True
print('Initilizing..')
try:
camera = PiCamera()
camera.resolution = (640, 480)
sleep(0.2)
print('[ OK ] Camera')
except:
print('[ Error ] Can not initialize PiCamera')
go = False
piCam = False
WebCam = False
print('Initilizing Camera ..')
if piCamAvailable:
try:
camera = PiCamera()
camera.resolution = (640, 480)
go = True
piCam = True
print('[ OK ] Started PiCamera')
except:
print('[ Warning ] Could not start PiCamera. Trying Webcam.. ')
piCam = False
go = False
else:
try:
camera = cv2.VideoCapture()
print('[ OK ] WebCamera')
go = True
WebCam = True
except Exception as ex:
print('[ Error ] Could not start Webcam.. \nExiting')
go = False
sleep(0.2)
try:
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
sleep(1)
@ -36,32 +59,44 @@ def init():
except:
print('[ Error ] Can not load cascade File')
go = False
try:
try:
os.mkdir('unknown')
except OSError as ex:
print('Found (unknown) folder')
if (go):
if go:
print('Starting Photo loop..')
print('Known people are '+str(loadNames()))
start(camera, face_cascade)
else:
start(camera, face_cascade, WebCam)
else:
print('closing')
def start( camera, face_cascade):
def start( camera, face_cascade, WebCam):
j = 0
rawCapture = PiRGBArray(camera)
face_recognizer = cv2.createLBPHFaceRecognizer()
face_recognizer.load('faces/h')
if not WebCam:
rawCapture = PiRGBArray(camera)
# face_recognizer = cv2.face.LBPHFaceRecognizer_create() #cv2.face.createLBPHFaceRecognizer()
face_recognizer = cv2.face_LBPHFaceRecognizer('faces/h')
# face_recognizer.read('faces/h') # Try on Pi
##WIP
try:
face_recognizer.load('faces/h')
except:
pass
names = loadNames()
while 1:
try:
camera.capture(rawCapture, format="bgr")
if not WebCam:
camera.capture(rawCapture, format="bgr")
img = rawCapture.array
else:
ret, img = camera.read()
except:
print('[ Error ] Can not capture image. Restarting..')
init()
img = rawCapture.array
#img = rawCapture.array
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3,5)
i = 0;
@ -88,16 +123,16 @@ def start( camera, face_cascade):
else:
print('Found '+person)
OpenShifter()
cv2.imshow('image',img)
cv2.imshow('image',img)
cv2.waitKey(1)
rawCapture.truncate(0)
if cv2.waitKey(1) & 0xFF == ord('q'):
cv2.destroyAllWindows()
break
def recognize(image,face_recognizer, names):
try:
img = image.copy()
label= face_recognizer.predict(img)
@ -109,7 +144,7 @@ def recognize(image,face_recognizer, names):
else:
print(str(label) + ' >>'+names[label[0]])
return names[label[0]]
def OpenShifter():
try:
ser = serial.Serial('/dev/ttyUSB0',9600)
@ -125,7 +160,7 @@ def OpenShifter():
ser.close()
except:
print('[ Error ] Can not connect to Arduino at /dev/ttyUSB1 ..')
def loadNames():
try:
with open("faces/names.json", "r") as read_file: