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33314
haarcascade_frontalface_default.xml
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33314
haarcascade_frontalface_default.xml
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untitled.py
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59
untitled.py
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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#
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# untitled.py
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#
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# Copyright 2018 <pi@RPi-01>
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation; either version 2 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software
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# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
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# MA 02110-1301, USA.
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#
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#
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from time import sleep
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from picamera import PiCamera
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from io import BytesIO
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import cv2
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import numpy as np
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camera = PiCamera()
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camera.resolution = (640, 480)
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face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
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stream = BytesIO()
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#camera.start_recording('my_video.h264')
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#print('started recodring')
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#camera.wait_recording(10)
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#camera.stop_recording()
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while True:
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print('taking photo')
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camera.capture('img.jpg')
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img = cv2.imread('img.jpg',1)
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gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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faces = face_cascade.detectMultiScale(gray, 1.3, 5)
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for (x,y,w,h) in faces:
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img = cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
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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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cv2.imshow('image',img)
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cv2.waitKey(100)
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if cv2.waitKey(1) & 0xFF == ord('q'):
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break
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#cv2.destroyAllWindows()
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print('Finshed')
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BIN
untitled.pyc
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BIN
untitled.pyc
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