Merge pull request #141 from ChampGupta/main

Face detection feature added to the code base

face_detection.py

@@ -0,0 +1,22 @@
+import cv2
+
+# Load the pre-trained Haar Cascade classifier for face detection
+face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
+
+# Load the image where you want to detect faces
+image = cv2.imread('path_to_image.jpg')
+
+# Convert the image to grayscale as the face detection model works with gray images
+gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+
+# Detect faces in the image
+faces = face_cascade.detectMultiScale(gray_image, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))
+
+# Draw rectangles around the detected faces
+for (x, y, w, h) in faces:
+    cv2.rectangle(image, (x, y), (x+w, y+h), (255, 0, 0), 2)
+
+# Display the output
+cv2.imshow('Face Detection', image)
+cv2.waitKey(0)
+cv2.destroyAllWindows()