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*.jpg | ||
/Origin_data/ | ||
/Wonbin_faces/ | ||
/MNIST_data/ | ||
/JUNI_Test_faces/ | ||
/custom_data/ |
6 changes: 6 additions & 0 deletions
6
.ipynb_checkpoints/Face_recognition_using_Siamese_Network-checkpoint.ipynb
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{ | ||
"cells": [], | ||
"metadata": {}, | ||
"nbformat": 4, | ||
"nbformat_minor": 4 | ||
} |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"import os\n", | ||
"import cv2\n", | ||
"import glob\n", | ||
"import matplotlib.pylab as plt\n", | ||
"from PIL import Image" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 4, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"ename": "NameError", | ||
"evalue": "name 'glob' is not defined", | ||
"output_type": "error", | ||
"traceback": [ | ||
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", | ||
"\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", | ||
"\u001b[1;32m<ipython-input-4-130bf9e3720d>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 8\u001b[0m \u001b[0mfile_names\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlistdir\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfile_path\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 9\u001b[0m \u001b[0mi\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 10\u001b[1;33m \u001b[0mimages\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mcv2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mimread\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfile\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mfile\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mglob\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mglob\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"custom_data\\gorilla/*.png\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 11\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mname\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mfile_names\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 12\u001b[0m \u001b[0mimg\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mImage\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'custom_data\\gorilla/1.jpg'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", | ||
"\u001b[1;31mNameError\u001b[0m: name 'glob' is not defined" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"\n", | ||
"\n", | ||
"file_path = 'custom_data\\Wonbin_faces'\n", | ||
"file_names = os.listdir(file_path)\n", | ||
"i=1\n", | ||
"images = [cv2.imread(file) for file in glob.glob(\"custom_data\\gorilla/*.png\")]\n", | ||
"for name in file_names:\n", | ||
" img = Image.open('custom_data\\gorilla/1.jpg')\n", | ||
" plt.imshow(img)\n", | ||
" \n", | ||
" i += 1" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3", | ||
"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": "3.8.3" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 4 | ||
} |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 2, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
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] | ||
}, | ||
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"metadata": {}, | ||
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} | ||
], | ||
"source": [ | ||
"import os\n", | ||
"\n", | ||
"# 주어진 디렉토리에 있는 항목들의 이름을 담고 있는 리스트를 반환합니다.\n", | ||
"# 리스트는 임의의 순서대로 나열됩니다.\n", | ||
"file_path = 'custom_data\\JUNI_faces'\n", | ||
"file_names = os.listdir(file_path)\n", | ||
"i = 1\n", | ||
"for name in file_names:\n", | ||
" src = os.path.join(file_path, name)\n", | ||
" dst = 'JUNIstr(i) + '.jpg'\n", | ||
" dst = os.path.join(file_path, dst)\n", | ||
" os.rename(src, dst)\n", | ||
" i += 1" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3", | ||
"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": "3.8.3" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 4 | ||
} |
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