Toolbox complete - 4

face_detect.py

@@ -1,4 +1,47 @@
 """ Experiment with face detection and image filtering using OpenCV """
 
 import cv2
-import numpy as np
+import numpy as np
+
+cap = cv2.VideoCapture(0)
+face_cascade = cv2.CascadeClassifier('/home/seed/Toolbox/ToolBox-ComputerVision/haarcascade_frontalface_alt.xml')
+# Creates a numpy matrix to control the degree of blurring
+kernel = np.ones((21,21),'uint8')
+font = cv2.FONT_HERSHEY_DUPLEX
+
+while True:
+    # Capture frame-by-frame
+    ret, frame = cap.read()
+
+    # Runs Viola-Jones face detection cascades to get a list of faces
+    faces = face_cascade.detectMultiScale(frame, scaleFactor=1.2, minSize=(20,20))
+
+    for (x,y,w,h) in faces:
+        frame[y:y+h,x:x+w,:] = cv2.dilate(frame[y:y+h,x:x+w,:], kernel)
+        #x_right_top = int((x+w)/4 + 15)
+        #y_right_top = int((y+h)/4 - 15)
+        #x_left_top = int((x+w/4) + 25)
+        #y_left_top = int((y+h/4) - 15)
+
+        # Draws eyeballz
+        cv2.circle(frame[y:y+h,x:x+w,:],(55,70),15,(255,255,255),-1)
+        cv2.circle(frame[y:y+h,x:x+w,:],(135,70),15,(255,255,255),-1)
+        cv2.circle(frame[y:y+h,x:x+w,:],(55,72),7,(0,0,0),-1)
+        cv2.circle(frame[y:y+h,x:x+w,:],(135,72),7,(0,0,0),-1)
+
+        # Draw sad face
+        cv2.ellipse(frame[y:y+h,x:x+w,:],(95,140),(50,25),0,180,360,(255,0,255),3)
+
+        # Special function
+        cv2.putText(frame[y:y+h,x:x+w,:],'#2020',(55,35),font,1,(255,255,255),1)
+
+
+    # Display the frame
+    cv2.imshow('frame',frame)
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
+
+
+# Outside of the loop
+cap.release()
+cv2.destroyAllWindows()