From b31c8966d6c70c4f28026ed11761e4f3ebea32b8 Mon Sep 17 00:00:00 2001
From: Saumit Dinesan <justsaumit@protonmail.com>
Date: Tue, 9 May 2023 18:09:39 +0530
Subject: Cleaning up old face detection

---
 face-detection/faceDetection.py | 30 ------------------------------
 1 file changed, 30 deletions(-)
 delete mode 100644 face-detection/faceDetection.py

(limited to 'face-detection/faceDetection.py')

diff --git a/face-detection/faceDetection.py b/face-detection/faceDetection.py
deleted file mode 100644
index 6be43d6..0000000
--- a/face-detection/faceDetection.py
+++ /dev/null
@@ -1,30 +0,0 @@
-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, img = cap.read()
-    #img = cv2.flip(img, -1)
-    #frame = cv2.flip(frame, -1) # Flip camera vertically
-    ##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
-cap.release()
-cv2.destroyAllWindows()
-- 
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