Face detection (haarcascade) OpenCV Python
Hello everyone, I have a little problem with my python program, in fact, I want to detect my face through the webcam of my laptop but the rectangle that should catch my face goes around the screen on its own, how can I solve this problem and allow my rectangle to catch only my face? Thank you, here it is the source code:
import numpy as np
import cv2
# import aprifile
istruzioni="Premi Esc per uscire"
cap = cv2.VideoCapture(0)
ret,frame = cap.read()
r,h,c,w = 250,90,400,125
track_window = (c,r,w,h)
roi = frame[r:r+h, c:c+w]
hsv_roi = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
mask = cv2.inRange(hsv_roi, np.array((0., 60.,32.)), np.array((180.,255.,255.)))
roi_hist = cv2.calcHist([hsv_roi],[0],mask,[180],[0,180])
cv2.normalize(roi_hist,roi_hist,0,255,cv2.NORM_MINMAX)
term_crit = ( cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 1 )
nomefile="haarcascade_frontalface_default.xml" # Name of the xml file
percorso="/home/matteo/opencv/opencv-2.4.9/data/haarcascades"+nomefile # Path
# aprifile.Inserisci_nome_file(nomefile) # Verifica l'esistenza del file
print(istruzioni)
while(1):
ret ,frame = cap.read()
if ret == True:
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
dst = cv2.calcBackProject([hsv],[0],roi_hist,[0,180],1)
ret, track_window = cv2.meanShift(dst, track_window, term_crit)
fc = cv2.CascadeClassifier(percorso)
# f = fc.detectMultiScale(frame, 1.3, 5, (30,30), cv2.cv.CV_HAAR_SCALE_IMAGE)
f = fc.detectMultiScale(frame, 1.3, 5)
x,y,w,h = track_window
cv2.rectangle(frame, (x,y), (x+w,y+h), 255,2)
cv2.imshow('Rilevamento', frame)
k = cv2.waitKey(60) & 0xff
if k == 27:
break
"""
else:
cv2.imwrite(chr(k)+".jpg",frame)
"""
else:
break
cv2.destroyAllWindows()
cap.release()
please add your code here (few folks will click dropbox links)
@berak, that was not that hard ^_^
dear @berak, @StevenPuttemans edited my question adding the code and deleting the dropbox link, now how can I solve my problem?