Lecture 33 Smile & Eye Detection.ipynb

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    "import cv2"
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    "## Smile Detection"
   ]
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    "img = cv2.imread(\"smile.jpg\")\n",
    "img = cv2.resize(img, (500,450))\n",
    "\n",
    "gry = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "sm = cv2.CascadeClassifier(r\"C:/Python312/Lib/site-packages/cv2/data/haarcascade_smile.xml\")\n",
    "fc = cv2.CascadeClassifier(r\"C:/Python312/Lib/site-packages/cv2/data/haarcascade_frontalface_default.xml\")\n",
    "\n",
    "f = fc.detectMultiScale(gry, 1.3, 3)\n",
    "\n",
    "for x,y,w,h in f:\n",
    "    roi_gry = gry[y:y+h, x:x+w]\n",
    "    roi_img = img[y:y+h, x:x+w]\n",
    "    \n",
    "    s = sm.detectMultiScale(roi_img, 1.5, 5)\n",
    "    \n",
    "    for xs, ys, ws, hs in s:\n",
    "        cv2.rectangle(roi_img, (xs,ys), (xs+ws, ys+hs), (0,255,0), 2)\n",
    "\n",
    "\n",
    "cv2.imshow(\"roi images\", roi_img) \n",
    "cv2.imshow(\"rooshan\", img)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
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   "execution_count": 27,
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   "source": [
    "img = cv2.imread(\"smile.jpg\")\n",
    "img = cv2.resize(img, (500,450))\n",
    "\n",
    "gry = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "sm = cv2.CascadeClassifier(r\"C:/Python312/Lib/site-packages/cv2/data/haarcascade_eye.xml\")\n",
    "fc = cv2.CascadeClassifier(r\"C:/Python312/Lib/site-packages/cv2/data/haarcascade_frontalface_default.xml\")\n",
    "\n",
    "f = fc.detectMultiScale(gry, 1.3, 3)  #face\n",
    "\n",
    "for x,y,w,h in f:\n",
    "    roi_gry = gry[y:y+h, x:x+w]\n",
    "    roi_img = img[y:y+h, x:x+w]\n",
    "    \n",
    "    s = sm.detectMultiScale(roi_img, 1.5, 5)\n",
    "    \n",
    "    for xs, ys, ws, hs in s:\n",
    "        cv2.rectangle(roi_img, (xs,ys), (xs+ws, ys+hs), (0,255,0), 2)\n",
    "\n",
    "\n",
    "cv2.imshow(\"roi images\", roi_img) \n",
    "cv2.imshow(\"rooshan\", img)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
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   "execution_count": null,
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