Added realtime face detection

Author: Lordhacker756

Diff for: AI Projects/Real-time face detector/FaceDetector.py

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+import cv2
+from random import randrange
+
+#loading some pretrained data into our badass app!
+trained_face_data = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
+
+#Yeah thats how you import an image, think of image as a 2D array
+#img = cv2.imread('abm3.jpeg')
+
+
+"""
+#converting image to grayscale
+grayscaled_img=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
+
+#Detect the face by presenting it to your algorithm
+face_coordinates = trained_face_data.detectMultiScale(grayscaled_img)
+#detectMultiScale is the function that detects the image reguardless of if its scale ie size, this returns the coordinates of the rectangle that shows us the postion of the face
+
+print(face_coordinates)
+
+#draw rectangle around the face
+for (x,y,w,h) in face_coordinates:
+    cv2.rectangle(img,(x,y),(x+w,y+h),(randrange(256),randrange(256),randrange(256)),5)
+
+#to show the image ("the name of the window showing it",file)
+cv2.imshow('Face Detector',img)
+
+#write this code otherwise the window will just open and close in a brink of a second
+cv2.waitKey()
+"""
+
+#Now its time for face detection in videos
+
+#Capture video in real time , 0 here tells you its the default webcam
+webcam = cv2.VideoCapture(0)
+
+#we want it to run until we close the webcam
+
+while True:
+    #Reading the current frame
+    successful_frame_read, frame = webcam.read() #first variable is a boolean telling if capture was success or not and the second one actually has the image
+
+    #convert to grayscale
+    gframe = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+
+    #Detect the face in frame
+    detect_face = trained_face_data.detectMultiScale(gframe)
+
+    for (x,y,w,h) in detect_face:
+        cv2.rectangle(frame,(x,y),(w+x,h+y),(randrange(256),randrange(256),randrange(256)),5)
+        cv2.imshow("Real Time Face", frame)
+    
+    #refreshing the frame every 1ms
+    key= cv2.waitKey(1)
+    #the app will stop when q or Q is pressed
+    if key==81 or key ==113:
+        break
+
+webcam.release()
+print("Code Completed KING!👑")

Diff for: AI Projects/Real-time face detector/README.md

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+# Face Detection With OpenCV😄
+
+This is my very first project on AI and ML with Python, This program uses the **haarcascade** algorithm, to detect the face in real time, We're using the trained data provided by OpenCV in their repostiory, in for testing process.
+
+That's All! Have a nice day!🐍
+
+### Kamui!