add remain files of opencv

Author: manthan89-py

Readme.md

@@ -33,9 +33,11 @@
 26. lane_detection_opencv.py
 27. circle_detection_using_hough_transform.py
 28. face_detection_opencv.py
-29. harris_corner_detection.py
-30. shi_tomasi_corner_detection.py
-31. background_subtraction_opencv.py
+29. eyes_detection_opencv.py
+30. harris_corner_detection.py
+31. shi_tomasi_corner_detection.py
+32. background_subtraction_opencv.py
+33. meanshift_object_tracking_opencv.py
 
 ## Helpful Documentations⭐:
 * OpenCV : https://docs.opencv.org/master/

eyes_detection_opencv.py

@@ -0,0 +1,34 @@
+import cv2
+import numpy as np
+
+# You have to download both cacasde file from internet
+face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
+eyes_cascade = cv2.CascadeClassifier('haarcascade_eye_tree_eyeglasses.xml')
+
+# img = cv2.imread('test_images/test.jpg')
+cap = cv2.VideoCapture(0) 
+
+while cap.isOpened():
+    _, img = cap.read()
+
+    # face detection      
+    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+    faces = face_cascade.detectMultiScale(gray, 1.1, 4)
+
+    for (x, y, w, h) in faces:
+        cv2.rectangle(img, (x, y), (x+w, y+h), (255,0,0),3)
+
+        # for eyes deteciton
+        roi_gray = gray[y:y+h , x:x+w]
+        roi_color = img[y:y+h, x:x+w]
+        eyes = eyes_cascade.detectMultiScale(roi_gray)
+        for (ex,ey,ew,eh) in eyes:
+            cv2.rectangle(roi_color, (ex,ey) , (ex+ew,ey+eh),(0,255,0) , 3)
+
+    cv2.imshow('img', img)
+    if cv2.waitKey(1) & 0xff == ord('q'):
+        break
+
+cv2.destroyAllWindows()
+
+cap.release()

meanshift_object_tracking_opencv.py

@@ -0,0 +1,46 @@
+import cv2
+import numpy as np
+
+cap = cv2.VideoCapture('test_images/slow_traffic_small.mp4')
+
+# read first frame
+ret, frame = cap.read()
+
+# initial location
+x, y, width, height = 300, 200, 100, 50
+tracked_window = (x,y,width,height)
+
+# ROI 
+roi = frame[y:y+height , x:x+width]
+hsv_roi = cv2.cvtColor(roi , cv2.COLOR_BGR2HSV)
+mask = cv2.inRange(hsv_roi , np.array((0.,60.,32.)) , np.array((180.,255.,255.)))
+roi_hist = cv2.calcHist([hsv_roi] , [0] ,mask ,[180],[0,180] )
+cv2.normalize(roi_hist , roi_hist , 0,255, cv2.NORM_MINMAX)
+
+# setup termination criteria
+term_crit = (cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT , 10, 1)
+# cv2.imshow('roi' , roi)
+
+while True:
+    ret, frame = cap.read()
+    if ret == True:
+
+        hsv = cv2.cvtColor(frame , cv2.COLOR_BGR2HSV)
+        dst = cv2.calcBackProject([hsv] , [0] , roi_hist , [0,180] , 1)
+
+        # mean shift
+        ret ,track_window = cv2.meanShift(dst , tracked_window , term_crit)
+
+        # draw it on image
+        x,y,w,h = track_window
+
+        final_image = cv2.rectangle(frame , (x,y) , (x+w,y+h) , (0,0,255) , 3)
+
+        # cv2.imshow('dst' , dst)
+        cv2.imshow('final_image' , final_image)
+
+        if cv2.waitKey(30) & 0xFF == ord('q'):
+            break
+
+cap.release()
+cv2.destroyAllWindows()