123 lines
3.2 KiB
Plaintext
123 lines
3.2 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": false,
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"deletable": true,
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"editable": true
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[HG:] Train Set = 30000, Test = 10000\n"
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]
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}
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],
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"source": [
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"import numpy as np\n",
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"import os\n",
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"\n",
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"import sys\n",
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"\n",
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"\n",
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"N_TRN = 5000\n",
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"N_TST = 5000\n",
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"\n",
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"DataBaseFolder = '/home/mchen/tmp/caffe/data/JStego/'\n",
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"\n",
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"BOSS2CoverPath = os.path.join( DataBaseFolder, '75') # BOSS2 cover subfolder\n",
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"BOSS2StegoPath = os.path.join( DataBaseFolder, 'JUNI_0.4') # BOSS2 stego subfolder\n",
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"\n",
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"BOW2CoverPath = os.path.join( DataBaseFolder, 'BOWS2_75') # BOWS cover subfolder\n",
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"BOW2StegoPath = os.path.join( DataBaseFolder, 'BOWS2_JUNI_0.4') # BOWS stego subfolder\n",
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"\n",
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"TxtListFolder = '/home/mchen/tmp/caffe/data/JStego/MiracleList/'\n",
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"\n",
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"np.random.seed(0) # reset the random seed\n",
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"\n",
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"RandomImages = np.random.permutation(10000) + 1\n",
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"\n",
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"print (\"[HG:] Train Set = %d, Test = %d\"%( 20000 + N_TRN * 2, N_TST * 2 ) )"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": true,
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"deletable": true,
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"editable": true
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},
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"outputs": [],
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"source": [
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"with open('{}/train.txt'.format(TxtListFolder), 'w') as f:\n",
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" for idx in range(N_TRN):\n",
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" imageName = str( RandomImages[idx] ) + '.jpg'\n",
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" f.write('{} 0\\n'.format(BOSS2CoverPath + '/' + imageName ) )\n",
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" f.write('{} 1\\n'.format(BOSS2StegoPath + '/' + imageName ) )\n",
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" \n",
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" for idx in range(10000):\n",
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" imageName = str( RandomImages[idx] ) + '.jpg'\n",
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" f.write('{} 0\\n'.format(BOW2CoverPath + '/' + imageName ) )\n",
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" f.write('{} 1\\n'.format(BOW2StegoPath + '/' + imageName ) ) \n",
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" \n",
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" f.close()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"collapsed": true,
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"deletable": true,
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"editable": true
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},
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"outputs": [],
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"source": [
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"with open('{}/test.txt'.format(TxtListFolder), 'w') as f:\n",
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" for idx in range(N_TST):\n",
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" imageName = str( RandomImages[N_TRN + idx] ) + '.jpg'\n",
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" f.write('{} 0\\n'.format(BOSS2CoverPath + '/' + imageName ) )\n",
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" f.write('{} 1\\n'.format(BOSS2StegoPath + '/' + imageName ) )\n",
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" f.close()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true,
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"deletable": true,
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"editable": true
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},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 2",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 1
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}
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