add training images for haar cascades

main.py

@@ -121,6 +121,9 @@ for c in cnts:
     # compute the rotated bounding box of the contour
     orig = image.copy()
     box = cv2.minAreaRect(c)
+    # xpos,ypos,w,h = cv2.boundingRect(c)
+    # crop_img = orig[ypos:ypos+h, xpos:xpos+w]
+    # cv2.imwrite("object_images/IMG_" + str(w*h) + ".jpg", crop_img) # create training images
     box = cv2.cv.BoxPoints(box) if imutils.is_cv2() else cv2.boxPoints(box)
     box = np.array(box, dtype="int")
     #box = perspective.order_points(box)