Face_Recognition+Image.py

# coding: utf-8

# In[1]:


import cv2
import sys

# Get user supplied values
imagePath = 'E:/ML_Codes/FaceDetect-master(1)/FaceDetect-master/image.png'
cascPath = "E:/ML_Codes/FaceDetect-master(1)/FaceDetect-master/haarcascade_frontalface_default.xml"

# Create the haar cascade
faceCascade = cv2.CascadeClassifier(cascPath)

# Read the image
image = cv2.imread(imagePath)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# Detect faces in the image
faces = faceCascade.detectMultiScale(
    image,
    scaleFactor=1.1,
    minNeighbors=5,
    minSize=(30, 30),
    flags = cv2.CASCADE_SCALE_IMAGE
)

print("No. of Faces ", len(faces)))

# Draw a rectangle around the faces
for (x, y, w, h) in faces:
    cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)

cv2.imshow("Faces found", image)
cv2.waitKey(0)
cv2.destroyAllWindows()


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