skipped saving img.jpg
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9c6e3999b5
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02930cd5a2
15
main.py
15
main.py
@ -8,6 +8,7 @@ import sys
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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 +21,7 @@ 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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@ -44,12 +45,15 @@ def init():
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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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while True:
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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('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, 1.1, 4)
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faces = face_cascade.detectMultiScale(gray, 1.2, 4)
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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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@ -65,6 +69,7 @@ def start( camera, face_cascade):
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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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@ -98,7 +103,7 @@ def recognize(image):
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subjects = ['','Hesham','Saeed']
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face_recognizer = cv2.createLBPHFaceRecognizer()
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face_recognizer.load('faces/m')
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face_recognizer.load('faces/Hesham-Saeed')
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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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