Hesham/FaceRecognition-python
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FaceDetection

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HeshamTB 2018-11-11 20:55:47 +00:00
parent 43cd118f7a
commit 9d896a1467
1 changed files with 10 additions and 12 deletions
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untitled.py
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@ -31,28 +31,26 @@ import numpy as np
camera = PiCamera() camera = PiCamera()
camera.resolution = (640, 480) camera.resolution = (640, 480)
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
stream = BytesIO()
#camera.start_recording('my_video.h264')
#print('started recodring')
#camera.wait_recording(10)
#camera.stop_recording()
while True: while True:
print('taking photo') print('Taking photo')
camera.capture('img.jpg') camera.capture('img.jpg')
img = cv2.imread('img.jpg',1) img = cv2.imread('img.jpg',1)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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:
img = cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2) cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
#roi_gray = gray[y:y+h, x:x+w] cv2.imwrite('result.jpg', gray)
#roi_color = img[y:y+h, x:x+w] roi_gray = gray[y:y+h, x:x+w]
roi_color = img[y:y+h, x:x+w]
print('Drawing face')
print('displying iamge')
cv2.imshow('image',img) cv2.imshow('image',img)
cv2.waitKey(100) cv2.waitKey(100)
if cv2.waitKey(1) & 0xFF == ord('q'): if cv2.waitKey(1) & 0xFF == ord('q'):
cv2.destroyAllWindows()
break break
#cv2.destroyAllWindows()
print('Finshed') print('Finshed')