Merge pull request avinashkranjan#682 from anubhav201241/master

Modification in Face-Detection/face-detect.py

Author: avinashkranjan

Face-Detection/v2/README.md

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+<h1 align="center">Face Detection</h1>
+Detects the Face, eyes and the nose
+
+---------------------------------------------------------------------
+
+
+## Modules Used
+- `OpenCV` 
+- `Python` 
+- `Google Colab`
+
+## How it works
+- Firstly, you have to enter the correct path where the file is located.
+- Then it will convert your video frame by frame into grayscale
+- After running the code it will detects face, eye and mid part in the live video capturing.
+- It will show rectangle boxes which is detecting your face and eyes and detects your nose by a dot(.) 
+
+#### By [Anubhav](https://github.com/anubhav201241) 

Face-Detection/v2/face_detectv2.py

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+#Face and Eye Detection 
+import cv2
+
+#PATH of the FILE
+CLASSIFIER_PATH = "./Facedetection/v2/haarcascade_frontalface_default.xml"   
+EYEDETECTION_PATH = "./Facedetection/v2/haarcascade_eye.xml"
+
+# Live video capturing
+cam = cv2.VideoCapture(0)
+
+# Initializing classifier
+face_classifier = cv2.CascadeClassifier(CLASSIFIER_PATH)
+EYE_DETECTION = cv2.CascadeClassifier(EYEDETECTION_PATH)
+
+while (True):
+
+    _, frame = cam.read()
+
+    # Converting to grayscale image
+    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+
+    # Returns coordinates of all faces in the frame
+    faces = face_classifier.detectMultiScale(gray, 1.3, 5)
+    # Cycle through each coordinate list
+    for (x, y, w, h) in faces:
+                
+        # Extracting mid points of bounding box
+        mid_x = int(x + h/2)
+        mid_y = int(y + h/2)
+        
+        # Drawing - "bounding box"
+        frame = cv2.rectangle(frame, (x, y), (x + h, y + h), (255, 0, 0), 2)
+        # 'x-coordinate' on live feed
+        frame = cv2.putText(frame, str(x), (x, y), cv2.FONT_HERSHEY_DUPLEX, 0.7, (0, 0, 255), 2) 
+        # "." represent mid part in face 
+        frame = cv2.putText(frame, ".", (mid_x, mid_y), cv2.FONT_HERSHEY_DUPLEX, 0.7, (0, 0, 255), 2) 
+
+        #Detects The Eyes
+        eyes = EYE_DETECTION.detectMultiScale(gray, 1.3, 5)
+        for (ex,ey,ew,eh) in eyes:
+           cv2.rectangle(frame, (ex,ey), (ex+eh, ey+eh), (0,255,0), 2) 
+   
+
+    # Displaying video feed with detected faces
+    cv2.imshow('Frame', frame)
+
+    # Reading for keyboard interrupts
+    key = cv2.waitKey(1)
+    if (key == 27):
+        break
+
+cam.release()
+cv2.destroyAllWindows()