From b359223312c8389e672ce1a37fa8ef3d5e70504e Mon Sep 17 00:00:00 2001
From: Saumit Dinesan <justsaumit@protonmail.com>
Date: Sat, 18 Mar 2023 01:54:07 +0530
Subject: faceDetection: Comments+addition

---
 face-detection/faceDetection.py | 26 +++++++++++++++++++-------
 1 file changed, 19 insertions(+), 7 deletions(-)

diff --git a/face-detection/faceDetection.py b/face-detection/faceDetection.py
index e8f3414..6be43d6 100644
--- a/face-detection/faceDetection.py
+++ b/face-detection/faceDetection.py
@@ -1,16 +1,28 @@
 import numpy as np
 import cv2
+faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
 cap = cv2.VideoCapture(0)
 cap.set(3,640) # set Width
 cap.set(4,480) # set Height
-while(True):
-    ret, frame = cap.read()
+while True:
+    ret, img = cap.read()
+    #img = cv2.flip(img, -1)
     #frame = cv2.flip(frame, -1) # Flip camera vertically
-    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
-    
-    cv2.imshow('frame', frame)
-    cv2.imshow('gray', gray)
-    
+    ##Convert RBG Image to Grayimage
+    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+    ## call classifier function and pass in the scaling facotor,no.of neighbouts and minimum size of detected face
+    faces = faceCascade.detectMultiScale(
+        gray,
+        scaleFactor=1.2,
+        minNeighbors=5,
+        minSize=(20, 20)
+    )
+    for (x,y,w,h) in faces:
+        ##pass image/Top,left:x,y/Bottom,right corner:x+w,y+h//BGR//thickness
+        cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
+        roi_gray = gray[y:y+h, x:x+w]
+        roi_color = img[y:y+h, x:x+w]
+    cv2.imshow('video',img)
     k = cv2.waitKey(30) & 0xff
     if k == 27: # press 'ESC' to quit
         break
-- 
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