Create EYE_DETECTION.py

EYE_DETECTION.py

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+#EYEDETECTION_FACE CV
+
+#importing Libraries  
+import cv2
+
+EYEDETECTION_PATH = "Facedetection/haarcascade_eye.xml"  #Giving Path of the file
+cam = cv2.VideoCapture(0)
+EYE_DETECTION = cv2.CascadeClassifier(EYEDETECTION_PATH)
+
+while(True):
+    #Reading the webcam
+    _, frame = cam.read()
+
+    #Converting to Grayscale img
+    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)  #Gray Scale Frame 
+
+    #Returns coordinates of eyes in the faces of the frame 
+    eye = EYE_DETECTION.detectMultiScale(gray, 1.3, 5)
+
+    #Cycle through each coordinate list 
+    for eye_dims in eye:
+
+        #Desctructing data and extracted bounding box coordinates
+        (x,y,w,h) = eye_dims
+                                          #if you wanted to print mid Part in the eyes then use this mid_x = int(x + h/2)
+                                                                                                    #and mid_y = int(y+ h/2)
+
+        #Drawing -"Bounding Box"
+        frame = cv2.rectangle(frame, (x,y), (x+h, y+h), (0,255,255), 3)
+        frame = cv2.putText(frame, str(x), (x,y), cv2.FONT_HERSHEY_DUPLEX, 0.7,(0,0,255), 2) 
+
+
+                                        #(For printing Mid in the eyes use this : "frame = cv2.putText(frame,"Mid", (mid_x, mid_y), cv2.FONT_HERSHEY_DUPLEX, 0.7, (0,0,255),2)" :)
+
+
+    #Displaying -"Bounding Box"
+    cv2.imshow('My_Frame', frame)
+    key = cv2.waitKey(1)
+    if(key == 27):                   # 27(for Esc Key)
+        break
+
+cam.release()
+cv2.destroyAllWindows()