opencv/03. Faces Detection.ipynb

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   "source": [
    "# Import Require Packages\n",
    "import cv2 as cv\n"
   ]
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   "source": [
    "## Face Detection with  Haar Cascade Classifiers"
   ]
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      "Number of faces found = 19\n"
     ]
    }
   ],
   "source": [
    "\n",
    "img = cv.imread('./Resources/Photos/group 1.jpg')\n",
    "cv.imshow('Group of 5 people', img)\n",
    "\n",
    "gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)\n",
    "cv.imshow('Gray People', gray)\n",
    "\n",
    "haar_cascade = cv.CascadeClassifier('haar_face.xml')\n",
    "\n",
    "faces_rect = haar_cascade.detectMultiScale(\n",
    "    gray, scaleFactor=1.1, minNeighbors=1)\n",
    "\n",
    "print(f'Number of faces found = {len(faces_rect)}')\n",
    "\n",
    "for (x, y, w, h) in faces_rect:\n",
    "    cv.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), thickness=2)\n",
    "\n",
    "cv.imshow('Detected Faces', img)\n",
    "\n",
    "\n",
    "cv.waitKey(0)\n",
    "cv.destroyAllWindows()\n"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
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