CODEWITHSUNDEEP
pythonopencvhaar-classifiercascade-classifier
ricvz
ricvz

Reputation: 1

why does the haarcascades does not work on opencv

I am trying to detect faces in opencv,but I'm running in some issues: 1-When I put the following syntax:gray = cv2.cvtColor(frames,cv2.COLOR_BGR2GRAY),it shows up in red and does not work. 2-The haarcascade also shows up in red:faces = face_cascade.detectMultiScale( gray,scaleFactor=1.1,minNeighbors=5,minSize=(30, 30),flags = cv2.CV_HAAR_SCALE_IMAGE).I tried to do like in some tutorials but it does not work.Would you have any idea? Here is my code:

#importing packages
import cv2
import numpy as np

#variables
webcam = cv2.VideoCapture(0)
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
w_size = (700,500)
#turn the webcam on
while (True):
    #reading camera and turing into frames
    ret,frames = webcam.read()
    frames = cv2.resize(frames,w_size)
    #detection
    gray = cv2.cvtColor(frames,cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale( gray,scaleFactor=1.1,minNeighbors=5,minSize=(30, 30),flags = cv2.CV_HAAR_SCALE_IMAGE)
    for (x, y, w, h) in faces:
        cv2.rectangle(frames, (x, y), (x+w, y+h), (0, 255, 0), 2)
    cv2.imshow('face_recognition',frames)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
#running script
webcam.release()
cv2.destroyAllWindows()

Upvotes: -2

Views: 836

Answers (1)

XxJames07-
XxJames07-

Reputation: 1826

i simply:

  1. added cv2.data.haarcascades as prefix of the type CascadeClassifier
  2. deleted cv2.CV_HAAR_SCALE_IMAGE (parameter not used anymore)

Code:

import cv2
import numpy as np
import cv2.data
#variables
webcam = cv2.VideoCapture(0)

face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades+'haarcascade_frontalface_default.xml')

w_size = (700,500)
#turn the webcam on
while (True):

    #reading camera and turing into frames
    ret,frames = webcam.read()
    frames = cv2.resize(frames,w_size)
    #detection
    gray = cv2.cvtColor(frames,cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale( gray,scaleFactor=1.1,minNeighbors=5,minSize=(30, 30))

    for (x, y, w, h) in faces:
        cv2.rectangle(frames, (x, y), (x+w, y+h), (0, 255, 0), 2)
    cv2.imshow('face_recognition',frames)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
#running script
webcam.release()
cv2.destroyAllWindows()

Upvotes: 0

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