mitkrieg

import cv2
import numpy as np 

path = '/Users/YOUR/PATH/HERE/share/opencv4/haarcascades/'

#get facial classifiers
face_cascade = cv2.CascadeClassifier(path +'haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier(path +'haarcascade_eye.xml')

#read images

mitkrieg

for (x,y,w,h) in faces:
    #retangle for testing purposes
    #img = cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)

    #coordinates of face region
    face_w = w
    face_h = h
    face_x1 = x
    face_x2 = face_x1 + face_w
    face_y1 = y

mitkrieg

import cv2
import numpy as np 

path = '/Users/YOUR/PATH/HERE/share/opencv4/haarcascades/'

#get facial classifiers
face_cascade = cv2.CascadeClassifier(path +'haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier(path +'haarcascade_eye.xml')

#read images

mitkrieg

#read image
img = cv2.imread('people.jpg')

#convert to gray
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

#detect faces
faces = face_cascade.detectMultiScale(gray, 1.3, 5)

#for each face

mitkrieg

import cv2
import numpy as np 

#path to classifiers
path = '/Users/mitchellkrieger/opt/anaconda3/envs/learn-env/share/opencv4/haarcascades/'

#get image classifiers
face_cascade = cv2.CascadeClassifier(path +'haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier(path +'haarcascade_eye.xml')