crop face image test

test.ipynb

@@ -0,0 +1,76 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Number of detected faces: 1\n",
+      "face0.jpg is saved\n"
+     ]
+    }
+   ],
+   "source": [
+    "# import required libraries\n",
+    "import cv2\n",
+    "\n",
+    "# read the input image\n",
+    "img = cv2.imread('data/UAM-Andrzej-Wójtowicz.jpg')\n",
+    "\n",
+    "# convert to grayscale of each frames\n",
+    "gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
+    "\n",
+    "# read the haarcascade to detect the faces in an image\n",
+    "face_cascade = cv2.CascadeClassifier('haarcascades/haarcascade_frontalface_default.xml')\n",
+    "\n",
+    "# detects faces in the input image\n",
+    "faces = face_cascade.detectMultiScale(gray, 1.3, 4)\n",
+    "print('Number of detected faces:', len(faces))\n",
+    "\n",
+    "# loop over all detected faces\n",
+    "if len(faces) > 0:\n",
+    "   for i, (x, y, w, h) in enumerate(faces):\n",
+    "      # To draw a rectangle in a face\n",
+    "      cv2.rectangle(img, (x, y), (x + w, y + h), (255, 255, 255), 2)\n",
+    "      face = img[y:y + h, x:x + w]\n",
+    "      cv2.imshow(\"Cropped Face\", face)\n",
+    "      cv2.imwrite(f'face{i}.jpg', face)\n",
+    "      print(f\"face{i}.jpg is saved\")\n",
+    " \n",
+    "# display the image with detected faces\n",
+    "cv2.imshow(\"image\", img)"
+   ]
+  }
+ ],
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