Is there anyway to take pictures of the face in a determined size?











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Well, i'm using this code to take pictures, but i would like it to take the picture, then resize it in a determined size, for example, i need that data of the 10 pictures with the same size for training PCA face recognition and i need images with 112 x 92 pixels. Do anyone knows how to do that?



import cv2
import time

face_cascade = cv2.CascadeClassifier('/home/alvaro/Desktop/Pruebas Algoritmos/PCA/DetecRostro/opencv-master/data/haarcascades/haarcascade_frontalface_default.xml')

cap = cv2.VideoCapture(0)
num = 0

while num<1:

ret, frame = cap.read()

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)

for (x,y,w,h) in faces:
cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
roi_gray = gray[y:y+h, x:x+w]
roi_color = frame[y:y+h, x:x+w]

x = 0
y = 20
text_color = (0,255,0)

cv2.imwrite('opencv'+str(num)+'.jpg',frame)
num = num+1

cap.release()
cv2.destroyAllWindows()









share|improve this question


















  • 2




    cv2.resize() ?
    – Mark Setchell
    Nov 11 at 9:35










  • But i would like that the algorithm take pics of the face
    – Alvaro Nuñez Mendoza
    Nov 20 at 15:36















up vote
0
down vote

favorite












Well, i'm using this code to take pictures, but i would like it to take the picture, then resize it in a determined size, for example, i need that data of the 10 pictures with the same size for training PCA face recognition and i need images with 112 x 92 pixels. Do anyone knows how to do that?



import cv2
import time

face_cascade = cv2.CascadeClassifier('/home/alvaro/Desktop/Pruebas Algoritmos/PCA/DetecRostro/opencv-master/data/haarcascades/haarcascade_frontalface_default.xml')

cap = cv2.VideoCapture(0)
num = 0

while num<1:

ret, frame = cap.read()

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)

for (x,y,w,h) in faces:
cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
roi_gray = gray[y:y+h, x:x+w]
roi_color = frame[y:y+h, x:x+w]

x = 0
y = 20
text_color = (0,255,0)

cv2.imwrite('opencv'+str(num)+'.jpg',frame)
num = num+1

cap.release()
cv2.destroyAllWindows()









share|improve this question


















  • 2




    cv2.resize() ?
    – Mark Setchell
    Nov 11 at 9:35










  • But i would like that the algorithm take pics of the face
    – Alvaro Nuñez Mendoza
    Nov 20 at 15:36













up vote
0
down vote

favorite









up vote
0
down vote

favorite











Well, i'm using this code to take pictures, but i would like it to take the picture, then resize it in a determined size, for example, i need that data of the 10 pictures with the same size for training PCA face recognition and i need images with 112 x 92 pixels. Do anyone knows how to do that?



import cv2
import time

face_cascade = cv2.CascadeClassifier('/home/alvaro/Desktop/Pruebas Algoritmos/PCA/DetecRostro/opencv-master/data/haarcascades/haarcascade_frontalface_default.xml')

cap = cv2.VideoCapture(0)
num = 0

while num<1:

ret, frame = cap.read()

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)

for (x,y,w,h) in faces:
cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
roi_gray = gray[y:y+h, x:x+w]
roi_color = frame[y:y+h, x:x+w]

x = 0
y = 20
text_color = (0,255,0)

cv2.imwrite('opencv'+str(num)+'.jpg',frame)
num = num+1

cap.release()
cv2.destroyAllWindows()









share|improve this question













Well, i'm using this code to take pictures, but i would like it to take the picture, then resize it in a determined size, for example, i need that data of the 10 pictures with the same size for training PCA face recognition and i need images with 112 x 92 pixels. Do anyone knows how to do that?



import cv2
import time

face_cascade = cv2.CascadeClassifier('/home/alvaro/Desktop/Pruebas Algoritmos/PCA/DetecRostro/opencv-master/data/haarcascades/haarcascade_frontalface_default.xml')

cap = cv2.VideoCapture(0)
num = 0

while num<1:

ret, frame = cap.read()

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)

for (x,y,w,h) in faces:
cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
roi_gray = gray[y:y+h, x:x+w]
roi_color = frame[y:y+h, x:x+w]

x = 0
y = 20
text_color = (0,255,0)

cv2.imwrite('opencv'+str(num)+'.jpg',frame)
num = num+1

cap.release()
cv2.destroyAllWindows()






python python-3.x opencv image-resizing






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asked Nov 11 at 3:15









Alvaro Nuñez Mendoza

142




142








  • 2




    cv2.resize() ?
    – Mark Setchell
    Nov 11 at 9:35










  • But i would like that the algorithm take pics of the face
    – Alvaro Nuñez Mendoza
    Nov 20 at 15:36














  • 2




    cv2.resize() ?
    – Mark Setchell
    Nov 11 at 9:35










  • But i would like that the algorithm take pics of the face
    – Alvaro Nuñez Mendoza
    Nov 20 at 15:36








2




2




cv2.resize() ?
– Mark Setchell
Nov 11 at 9:35




cv2.resize() ?
– Mark Setchell
Nov 11 at 9:35












But i would like that the algorithm take pics of the face
– Alvaro Nuñez Mendoza
Nov 20 at 15:36




But i would like that the algorithm take pics of the face
– Alvaro Nuñez Mendoza
Nov 20 at 15:36

















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