77 lines
2.0 KiB
Plaintext
77 lines
2.0 KiB
Plaintext
|
{
|
||
|
"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)"
|
||
|
]
|
||
|
}
|
||
|
],
|
||
|
"metadata": {
|
||
|
"kernelspec": {
|
||
|
"display_name": "Python 3.10.8 64-bit",
|
||
|
"language": "python",
|
||
|
"name": "python3"
|
||
|
},
|
||
|
"language_info": {
|
||
|
"codemirror_mode": {
|
||
|
"name": "ipython",
|
||
|
"version": 3
|
||
|
},
|
||
|
"file_extension": ".py",
|
||
|
"mimetype": "text/x-python",
|
||
|
"name": "python",
|
||
|
"nbconvert_exporter": "python",
|
||
|
"pygments_lexer": "ipython3",
|
||
|
"version": "3.10.8"
|
||
|
},
|
||
|
"orig_nbformat": 4,
|
||
|
"vscode": {
|
||
|
"interpreter": {
|
||
|
"hash": "767d51c1340bd893661ea55ea3124f6de3c7a262a8b4abca0554b478b1e2ff90"
|
||
|
}
|
||
|
}
|
||
|
},
|
||
|
"nbformat": 4,
|
||
|
"nbformat_minor": 2
|
||
|
}
|