Turning in my computer vision toolbox

deface_video.py

@@ -0,0 +1,29 @@
+import numpy as np
+import cv2
+
+#cap = cv2.VideoCapture(0)
+cap = cv2.VideoCapture('/home/jkunimune/ToolBox-ComputerVision/input.mp3')
+kernel = np.ones((21,21),'uint8')
+face_cascade = cv2.CascadeClassifier('/home/jkunimune/ToolBox-ComputerVision/haarcascade_frontalface_alt.xml')
+font = cv2.FONT_HERSHEY_SIMPLEX
+
+while(True):
+    # Capture frame-by-frame
+    ret, frame = cap.read()
+    frame = cv2.flip(frame,1)   # makes image face the right way
+    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)
+        cv2.ellipse(frame, (x+w/2,y+h/2), (w/2,h/2), 0,0,360, (0,255,255), thickness=-1)
+        cv2.ellipse(frame, (x+w/2,y+h/2), (w/2,h/2), 0,0,360, (0,0,0), thickness=3)
+        cv2.line(frame, (x+w/3,y+h/4), (x+w/3,y+h/2), (0,0,0), thickness=3)
+        cv2.line(frame, (x+2*w/3,y+h/4), (x+2*w/3,y+h/2), (0,0,0), thickness=3)
+        cv2.ellipse(frame, (x+w/2,y+h/2), (w/3,h/3), 0,0,180, (0,0,0), thickness=3)
+     # Display the resulting frame
+    #cv2.imshow('frame',frame)
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
+
+# When everything done, release the capture
+cap.release()
+cv2.destroyAllWindows()

face_detect.py

@@ -1,4 +1,28 @@
-""" Experiment with face detection and image filtering using OpenCV """
-
+import numpy as np
 import cv2
-import numpy as np
+
+cap = cv2.VideoCapture(0)
+kernel = np.ones((21,21),'uint8')
+face_cascade = cv2.CascadeClassifier('/home/jkunimune/ToolBox-ComputerVision/haarcascade_frontalface_alt.xml')
+font = cv2.FONT_HERSHEY_SIMPLEX
+
+while(True):
+    # Capture frame-by-frame
+    ret, frame = cap.read()
+    frame = cv2.flip(frame,1)   # makes image face the right way
+    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)
+        cv2.ellipse(frame, (x+w/2,y+h/2), (w/2,h/2), 0,0,360, (0,255,255), thickness=-1)
+        cv2.ellipse(frame, (x+w/2,y+h/2), (w/2,h/2), 0,0,360, (0,0,0), thickness=3)
+        cv2.line(frame, (x+w/3,y+h/4), (x+w/3,y+h/2), (0,0,0), thickness=3)
+        cv2.line(frame, (x+2*w/3,y+h/4), (x+2*w/3,y+h/2), (0,0,0), thickness=3)
+        cv2.ellipse(frame, (x+w/2,y+h/2), (w/3,h/3), 0,0,180, (0,0,0), thickness=3)
+     # Display the resulting frame
+    cv2.imshow('frame',frame)
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
+
+# When everything done, release the capture
+cap.release()
+cv2.destroyAllWindows()