115 lines
2.6 KiB
Python
115 lines
2.6 KiB
Python
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from time import sleep
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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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print('[ Error ] some depandincies are missing\n'+ str(ex.args))
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sys.exit()
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def init():
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go = True
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print('Initilizing Camera and cascade components..')
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try:
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camera = PiCamera()
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camera.resolution = (640, 480)
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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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go = False
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try:
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face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
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sleep(1)
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print('[ OK ] CascadeClassifier')
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except:
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print('[ Error ] Can not load cascade File')
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go = False
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if (go):
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print('Starting Photo loop..')
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start(camera, face_cascade)
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else:
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print('closing')
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#else:
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#print('Sensors not Satisfied')
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def start( camera, face_cascade):
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j = 0
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rawCapture = PiRGBArray(camera)
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#camera.framerate = 32
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#rawCapture = PiRGBArray(camera, size=(640, 480))
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#for frame in camera.capture_continuous(rawCapture, format="bgr", use_video_port=True):
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while 1:
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#try:
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#camera.capture('img.jpg')
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#img = cv2.imread('img.jpg',1)
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camera.capture(rawCapture, format="bgr")
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img = rawCapture.array
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gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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faces = face_cascade.detectMultiScale(gray, 1.2,5)
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i = 0;
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for (x,y,w,h) in faces:
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i += 1
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j += 1
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roi_gray = gray[y:y+h, x:x+w]
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roi_color = img[y:y+h, x:x+w]
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person = recognize(roi_gray)
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if person == 'Hesham' or person == 'Saeed':
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OpenShifter()
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print('Sending to Arduino!')
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cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
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cv2.putText(img, person, (x, y), cv2.FONT_HERSHEY_PLAIN, 1.7, (255, 0, 0), 2)
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cv2.imshow('image',img)
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cv2.waitKey(100)
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rawCapture.truncate(0)
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if cv2.waitKey(1) & 0xFF == ord('q'):
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cv2.destroyAllWindows()
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break
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#except:
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#print('[ Error ] Unexpected exception')
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#print('Closing')
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#break
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def recognize(image):
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names = loadNames()
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face_recognizer = cv2.createLBPHFaceRecognizer()
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face_recognizer.load('faces/m')
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img = image.copy()
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label= face_recognizer.predict(img)
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print(label)
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if label[1] > 120:
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return 'unknown'
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else:
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return names[label[0]]
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def OpenShifter():
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try:
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ser = serial.Serial('/dev/ttyUSB0',9600)
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#ser.open()
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ser.write('O')
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ser.close()
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except Exception as ex:
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print('[ Error ] Can not connect to Arduino at /dev/ttyUSB1 ..')
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def loadNames():
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with open("faces/names.json", "r") as read_file:
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data = json.load(read_file)
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return list(data)
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init()
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