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@falcondai
Created April 18, 2017 14:06
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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Populating the interactive namespace from numpy and matplotlib\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/usr/local/lib/python2.7/site-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment.\n",
" warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.')\n"
]
}
],
"source": [
"%pylab inline"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from PIL import Image"
]
},
{
"cell_type": "code",
"execution_count": 104,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# include the background\n",
"num_masks = 10 + 1\n",
"num_time_steps = 9"
]
},
{
"cell_type": "code",
"execution_count": 230,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"masks = np.load('masks.npy')"
]
},
{
"cell_type": "code",
"execution_count": 231,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"(99, 32, 64, 64, 1)"
]
},
"execution_count": 231,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"masks.shape"
]
},
{
"cell_type": "code",
"execution_count": 232,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# switch to (timestep, layer, batch_id, row, col) index\n",
"masks = masks.reshape((9, num_masks, 32, 64, 64))"
]
},
{
"cell_type": "code",
"execution_count": 233,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x1149b4490>"
]
},
"execution_count": 233,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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KEPKBghOfkBbSU1E/IhJ1mk7skJpIkvSGSLwukqQztU1vXos8NG10oxfnbd3A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\nTnxCWggnPiEt5P8BtUDiMgVa7x0AAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x11535f810>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"imshow(masks[5,0,5,:,:], interpolation='none', cmap='Greys')"
]
},
{
"cell_type": "code",
"execution_count": 260,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"kernels = np.load('l1-model/kernels.npy')"
]
},
{
"cell_type": "code",
"execution_count": 261,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"(9, 32, 1, 5, 5, 3, 10)"
]
},
"execution_count": 261,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"kernels.shape"
]
},
{
"cell_type": "code",
"execution_count": 262,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# switch to (timestep, layer, batch_id, row, col) index\n",
"# all color channel share the same mask\n",
"kernels = kernels[:, :, 0, :, :, 0, :].transpose([0, 4, 1, 2, 3])"
]
},
{
"cell_type": "code",
"execution_count": 266,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"(0.039999988, 0.039999988)"
]
},
"execution_count": 266,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"kernels.max(), kernels.min()"
]
},
{
"cell_type": "code",
"execution_count": 263,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"(9, 10, 32, 5, 5)"
]
},
"execution_count": 263,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"kernels.shape"
]
},
{
"cell_type": "code",
"execution_count": 264,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x1154c5a90>"
]
},
"execution_count": 264,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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"text/plain": [
"<matplotlib.figure.Figure at 0x114f50990>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"imshow(kernels[7,2,3,:,:], interpolation='none', cmap='Greys')"
]
},
{
"cell_type": "code",
"execution_count": 239,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"tf_layers = np.load('tf_layers.npy')"
]
},
{
"cell_type": "code",
"execution_count": 240,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"(99, 32, 64, 64, 3)"
]
},
"execution_count": 240,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tf_layers.shape"
]
},
{
"cell_type": "code",
"execution_count": 241,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"tf_layers = tf_layers.reshape((9, num_masks, 32, 64, 64, 3))"
]
},
{
"cell_type": "code",
"execution_count": 242,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"0.0048701023"
]
},
"execution_count": 242,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"(tf_layers[5, 9, 5] * np.expand_dims(masks[5, 9, 5], 3)).max()"
]
},
{
"cell_type": "code",
"execution_count": 243,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x114b0cdd0>"
]
},
"execution_count": 243,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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VFX3ocvoN5f4M74XIuCotOIEslfh0+vZp8PmNXFbOu3i9NNdSAxlXp0cvbS4/nJT7i+Zp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\nssfThfExAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x114a98210>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"imshow(tf_layers[0, 0, 16], interpolation='none')"
]
},
{
"cell_type": "code",
"execution_count": 244,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x114c13390>"
]
},
"execution_count": 244,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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SKqVV/dIVzENVvwx1TKhpmljbWtUphzXBxSfUfKg6KcgyV/x8lofBmqRTdVKQa1pkGkDf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\nkGP1AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x11545d490>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"imshow(masks[5,3,16,:,:], interpolation='none', cmap='Greys')"
]
},
{
"cell_type": "code",
"execution_count": 245,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x114d0d710>"
]
},
"execution_count": 245,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAPcAAAD7CAYAAAC2TgIoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAACPlJREFUeJzt3U+oXPUZxvHnicEQsHTjRhJUikhBWhREWgJ6tBRDC7q1\nGAquKwqWYnHjuBG6KkKXVWkF40IK2kqpoD0tKhWpCYpJUCj4pyWupCKCqHm7uNOQjs095zrn3DPn\n8fuBC3MnJ8fX4X7zm7lz7++4qgQgz56pBwAwDuIGQhE3EIq4gVDEDYQibiDU3qFOZJv31ICJVJVX\n7xt05a6qwT/uv//+Uc475sfcZp7bvHOcecx5z4en5UAo4gZCbXzcTdNMPcKOzW3muc0rzW/mKeb1\nds/Zd3Qiu4Y6F4D+bKvG/oYagM1B3EAo4gZCETcQiriBUMQNhCJuIBRxA6GIGwhF3EAo4gZCETcQ\nqlfctg/bPmX7Tdv3jj0UgPV1/laY7T2S3pT0PUn/kvSKpNuq6tTKcfxWGDCBdX4r7DpJb1XV21X1\nqaQnJN069IAAhtUn7gOS3j3n8/eW9wHYYIPtfipJi8Xi7O2maWa3WwYwB23bqm3bzuP6vOb+jqRF\nVR1efv5zSVVVv1g5jtfcwATWec39iqQrbF9m+0JJt0l6eugBAQyr82l5VX1u+05Jz2rrH4OHq+rk\n6JMBWAsbJAIzxwaJwFcMcQOhiBsIRdxAKOIGQhE3EIq4gVDEDYQibiAUcQOhiBsIRdxAKOIGQhE3\nEIq4gVDEDYQibiAUcQOhiBsIRdxAKOIGQhE3EIq4gVDEDYQibiAUcQOhiBsIRdxAKOIGQhE3EIq4\ngVDEDYQibiAUcQOhiBsI1Rm37Ydtv2/7td0YCMAw+qzcj0q6eexBAAyrM+6qekHSB7swC4AB8Zob\nCEXcQKi9Q55ssVicvd00jZqmGfL0ACS1bau2bTuPc1V1H2RfLun3VfWtbY6pPucCMCzbqiqv3t/n\nrbDHJb0k6Urb79i+Y4wBAQyr18rd60Ss3MAkvvTKDWCeiBsIRdxAKOIGQhE3EIq4gVDEDYQibiAU\ncQOhiBsIRdxAKOIGQhE3EIq4gVDEDYQibiAUcQOhiBsINejup3Myxy2hjhw5MvUIO3L06NGpR9ix\nM2fOTD3CYFi5gVDEDYQibiAUcQOhiBsIRdxAKOIGQhE3EIq4gVDEDYQibiAUcQOhiBsIRdxAKOIG\nQhE3EIq4gVCdcds+aPt522/Yft32XbsxGID19Nlm6TNJ91TVcdsXSfq77Wer6tTIswFYQ+fKXVWn\nq+r48vZHkk5KOjD2YADWs6PX3LYvl3S1pJfHGAbAcHrvfrp8Sv6kpLuXK/gXLBaLs7ebplHTNGuO\nB2BV27Zq27bzOPfZ4tf2Xkl/kPTHqnroPMfUnLYLntOs/8XWxuOb49bGtlVVXr2/79PyRySdOF/Y\nADZPn7fCDkm6XdJNto/ZftX24fFHA7COztfcVfWipAt2YRYAA+In1IBQxA2EIm4gFHEDoYgbCEXc\nQCjiBkIRNxCKuIFQxA2EIm4gFHEDoYgbCEXcQCjiBkIRNxCKuIFQvTZI7HWimW2QOEc8vuOzv7DP\n4MZbd4NEADND3EAo4gZCETcQiriBUMQNhCJuIBRxA6GIGwhF3EAo4gZCETcQiriBUMQNhCJuIBRx\nA6GIGwi1t+sA2/sk/VXShcuPp6rqvrEHA7Cezrir6hPbN1bVx7YvkPSi7UNV9eIuzAfgS+r1tLyq\nPl7e3Lf8Ox+MNhGAQfSK2/Ye28cknZbUVtWJcccCsK6+K/eZqrpG0kFJ19u+YdyxAKyr8zX3uarq\nQ9vPSLpW0l9W/3yxWJy93TSNmqZZczwAq9q2Vdu2ncd17ltu+2JJn1bVv23vl/QnSQ9U1XMrx7Fv\n+ch4fMeXtG95n5X7Ekm/8db/9R5Jj62GDWDzcMWRGeHxHV/Sys1PqAGhiBsIRdxAKOIGQhE3EIq4\ngVDEDYQibiAUcQOhiBsIRdxAKOIGQhE3EIq4gVDEDYQibiAUcQOhiBsItaPdTzGtOW4BhOmwcgOh\niBsIRdxAKOIGQhE3EIq4gVDEDYQibiAUcQOhiBsIRdxAKOIGQhE3EIq4gVDEDYQibiAUcQOhesdt\ne4/tV20/PeZAAIaxk5X7bkknxhoEwLB6xW37oKQfSPr1uOMAGErflfuXkn4mqUacBcCAOnc/tf1D\nSe9X1XHbjaTzbsG5WCzO3m6aRk3TrD8hgP/Rtq3atu08zlXbL8a2H5R0RNJnkvZL+pqk31XVj1eO\nq65zARiebVXVFxbdzrhXTnKDpJ9W1S3/58+IG5jA+eLmfW4g1I5W7m1PxMoNTIKVG/iKIW4gFHED\noYgbCEXcQCjiBkIRNxCKuIFQxA2EIm4gFHEDoYgbCEXcQCjiBkJtfNx9tpPZNHObeW7zSvObeYp5\niXsEc5t5bvNK85uZuAEMhriBUINuszTIiQDs2Nq7nwKYD56WA6GIGwi1sXHbPmz7lO03bd879Txd\nbD9s+33br009S1+2D9p+3vYbtl+3fdfUM23H9j7bL9s+tpz5waln6muKS2BvZNy290j6laSbJV0l\n6Ue2vzntVJ0e1da8c/KZpHuq6ipJ35X0k01+nKvqE0k3VtU1kr4t6SbbhyYeq69dvwT2RsYt6TpJ\nb1XV21X1qaQnJN068UzbqqoXJH0w9Rw7UVWnq+r48vZHkk5KOjDtVNurqo+XN/dp6+t34x/zqS6B\nvalxH5D07jmfv6cN/6KbO9uXS7pa0svTTrK95dPbY5JOS2qraldXwy9pkktgb2rc2EW2L5L0pKS7\nlyv4xqqqM8un5QclXb+8OOXGOvcS2Nq6/PV5L4E9tE2N+5+SLj3n84PL+zAw23u1FfZjVfXU1PP0\nVVUfSnpG0rVTz9LhkKRbbP9D0lFJN9r+7W78hzc17lckXWH7MtsXSrpN0q59l3ENu/ov80AekXSi\nqh6aepAuti+2/fXl7f2Svi/p+LRTba+q7quqS6vqG9r6On5+9dr2Y9nIuKvqc0l3SnpW0huSnqiq\nk9NOtT3bj0t6SdKVtt+xfcfUM3VZfqf5dm191/nY8q2aw1PPtY1LJP15+Zr7b5KerqrnJp5pY/Hj\np0CojVy5AayPuIFQxA2EIm4gFHEDoYgbCEXcQCjiBkL9B4Bv093TW/gSAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x114c2b050>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"imshow(kernels[5,6,16,:,:], interpolation='none', cmap='Greys')"
]
},
{
"cell_type": "code",
"execution_count": 246,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x114df0f90>"
]
},
"execution_count": 246,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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ToRFF0g0YF1qc4HJ0zOzqa3jX4shAMCcuXbgMT/hN5XLZSUZGRtAOW0cgNgNqtY2X0OaM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\nJINw4BOSQTjwCckgHPiEZBAOfEIyyP8H6N69RJH21QUAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x114d27550>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"masked_layer = tf_layers[5, 3, 16] * np.expand_dims(masks[5, 2, 16], 3)\n",
"imshow(masked_layer / masked_layer.max(), interpolation='none')"
]
},
{
"cell_type": "code",
"execution_count": 247,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"gen_images = np.load('gen_images.npy')"
]
},
{
"cell_type": "code",
"execution_count": 248,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"(9, 32, 64, 64, 3)"
]
},
"execution_count": 248,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gen_images.shape"
]
},
{
"cell_type": "code",
"execution_count": 249,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x114eeaf10>"
]
},
"execution_count": 249,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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DsA4HPXLUz8vSgqf9vv/oc2q7symB7JnHdqm+DUTFnbVls+pLE8oorOm1jqFh\nn1EYxWYdhMKVl2Vv2hBvPh6l8o2Pa2qxRlmfkXlfNpr+GmVNrVKUtmgt54i+V5/d4+dp7pgRqSaR\n1WrNZDRSKHhhxjJcCSG7AQEBPRAe/ICAAUR/6LxO9FKRaZonVkIZptw1m7hiTOioN2UnZIvb5Lw4\nJR1/0ynOj600Ah45iT5mRhAiJRF8ZwzLlCPrTCRdWvhsr2LLRapvdOS/d9tNUz752IKndioVvU8X\nezfgsslp1XfF5Tu67f/3tr9Vfew6oaZps5mZfd321IKmlcaH/PeWnD+fq8/TdNf2SZ/F1xrVJu3E\nmX7MtREtqjo05K9X1ZT9dvTOKmzG3wp0HqM09wDfS3WTvRmRUOaRGW3Oz8/5CMMk1vf43Jwf5/6D\n+prMz3mXK2uYEuFVrrugz11HJupzyAKdFxAQ0AvhwQ8IGECEBz8gYADRFx8/6hRzKE3BOkf14xCZ\noVBIrdGihFDRAuesP0cbm/rxBfnxqalX16SDFIbqi1jf0vjxJWXr2ZGwDymGB9y/6H33P/xX/0L1\nXXb1td329LSm3oToy9KIN0aUUXbWJu2rT097X73a/Jnq2zfr56k6rgs7DFMt1Kld31N9M3ROw+Oe\nct2+411qu/mWn4fxyY2qb2bO+71jouvHj1KdO6PDid37fMbaSF3P7bp1/tzT2rDqE7onltVdpLWC\nstB9R+f8AJ7bo0Osl+b9HA0b2rGVe3HPxpI+v4gKp5RmLBFngRoqmFc0ln0vWt27/KRbiUhVRH4o\nIg+KyCMi8gedv68TkTtEZJeIfFtExk+2r4CAgBcHTvrgO+eaAH7JOXcZgJcDeF2nkObNAO50zl0A\n4C4AHz6tIw0ICDhlWJWp75w7zjVU0f6xOArgBgA7O3+/BcDdaP8YLEOedkx9GzTFQhzOUH2lN/Ns\nZJbSxzdZdgVFACaxMdkpEiw3gokluLadpmsS56mcqtO1yXLxprHYUt/00Zpg5bynb27+4EdU393f\nu6fbtlPGs5QaH6gsvTlaS85QfbWK39NZF75a9S0881S3/cyTD6u+qZan6apGE5+vGYuHfPVbd6rt\nzjljM31H7yMhqraaaMHJKPb3wNE5TWvOkA795hF9nceHvXnvqtrUZ3O+MPdAg4RaD0wdU33P7POu\n0sH9OjIxJ139RSO2URvyFGXd6oXU/Pk2GvpaRhGfrym/Tg+SM1SmcyYjtQdW5RCISNQpkX0AwN3O\nuUcBbHaa2zm9AAAgAElEQVTOTbUP5g4A2LTSPgICAl48WO0bvwRwmYiMAfi2iFyH5S+jnkHQ/+4T\nf97ZT4nX7rgUr/3FS5/faAMCAnpiamoKe/buO/mG+DlX9Z1zsyLyTQBXAJgSkc3OuSkR2QLgYK/v\nffRD7wQAlM6WrQ4ICDhV2Lx5M4ZGPbvy5K7Hem570gdfRDYAyJxzx0SkDuCNAD4O4HYANwH4BID3\nALit1z6Oh1BG5nAtoqaSSPvxEO/jiBG4LMi4SM33ODvPOa2wAq57b9YGHLyPWmQ6RFJS748XTmev\niVL1Mb4YhfdmJrS4nPfZbO9+9ztVXzzsj7/zl96k+irw59SAPvdJeIprzwHtL3/vyf3d9sWXXqL6\nrr7qsm77tm/oy/jAAz/yYzbhyjFRsJMTPits+wZN2S1Qsblqon/8h0a9Dz48pP1xLg4Rl4a6jP0+\nR0xCWpxSTUZDd+VE0x2b09dy6uDhbnv3/inVd+Tg3m47W9L+P4us5qZqTEz3eKWqQ5Kzwq8N2FqH\nNkzddPLRVU+a2nv+xFjNG/8MALdI+66OANzqnPtux+f/soi8F8CzAN66qiMGBASsOU764DvnHgZw\n+Qn+Pg3gDadjUAEBAacX/YncOy4saaKhajGZdibsrVC0jzGhqc2CHYAy5uFyTQFFxK9Zs1XIhI5N\nVN8xqnPnEp39JIoSsm6HH01mxpKQCXh4TtOH1YZ3AyJDEbrCH6OsaHPwdVec223XTcTa1EPePD2n\n1Ocw0/Lz+9x+HZUmwrrw2n1YP+lN17O2evpwtqn3H5Ooas0IY46SnT4+Pm76vBhGbujQsZJEOkwm\nnaNaC5mJwpxd8Nfhmd16Weq5Pc9021YYo2z678XmXuUswvXjOmLSRX6cM0s6A4/LoyeJ3mlEtRws\nDc6UXWFqOS7nzE+MEKsfEDCACA9+QMAAIjz4AQEDiP4o8OTt3xdnfHwOcXVO+7l5RplLplwdUzTL\nwmTJpVvmx7M6jw3ZJV+pND7wMI07MS5U7ljxR1NVBdVNE/Mbm1OI8FXX7FB9ExNEcRlffb4147eL\ntQhpJN4nbqY6PrROtJlVCpqoej+0nmoqs1L1IcrnnnOm6hub8D7+NIUgJ80Ztd041X63lCev3zSb\n2h8/OuvXOpwpTNhskWJSYdZPYh/OawtczC36cR6Z0bRcY9bToRXosVRG/LyMDetrksP3PXNIq+zs\nPeTXCiZNAY+JUT+3iamDqMLSocGPUWFVhLA6hDd+QMAAIjz4AQEDiL6Y+kXHNrHCmFHuabLS0GQ5\nZeeJiYYqQUIcpkx2SSWMl7kBim6zbofr2ZdUPeXkxISJCdGJpYm2ot0k9jeWLNBzt5+jujj6qzBu\nRxR58/q8dZoeauXeXfriV3+k+sa2enF7S8stNvwxxiY1pZYRtagUSQDMNfz1q1ExAluXkM1RKx46\nv+j3kZfa9E6q/vyyQs/fDLkBiwu6Hh8nyK3foOnDTWd6d8WV+lx3P+2z7hYams47e6OnKw/Oawp5\ndsG7NvMzWjgloXLszul5n57xbsE6UxuQaTkxQa1OubDGDzaUci+EN35AwAAiPPgBAQOI8OAHBAwg\n+kPn9SAZ8pJ8JVPEQshXb7ZMfXCiPoqm7ovqnibLGqa4ACnU2CJ4rGoiNn6Yas2fu1VTWk8899Oe\n+4xJOchmiUXC6kOmIAT5yw0T5pkefbLbPuOiX9TnQLRcw9CVo1Q0o5lp5cpGy8/T1Zdfpfp2b3y2\n2y4zTbmOEK21QLs8NqfpPK4tP7eg6/1lNLdpRfvOMSn+LDb1/M0c88doLGoRS1BI675D+r7aWPUZ\ncTvffJ3q23CeXw+4+6u66MjUMX/ulVifQ5Uo0PrEetW32PDnlFZN5hyFX+/br/Pox4l+rQ3pdQp+\nnOyyUpbpNZReCG/8gIABRHjwAwIGEH0x9eOsbZvkmTHLWa++0OZnwZFTRuSRWbpUiWQCEntzSira\n9G6knooT41okFHXXMqGCZdV/HtVaCpDnuCSzcWnInLeyCllJ7opxAzj7a6I8pPquufot3fbmS7QJ\n+Jf/1//TbaeixTAc2YRHpzX9tZD54z/40A9V3xaKIty2ZavqK2M/90tUT640tQ5apPffaumZaFIm\nn0T6/mA0Mn1NWk2ignN979SqdG2dvj/23P90t/03RsTljW/zWeavdlervse++wSNxdS5q5FgiNln\nlaL1WobOTmlshTm/BdLqr9Q0Dcgl5U0wbIjcCwgI6I3w4AcEDCDCgx8QMIDoD53X8bmSivZJVWaR\n8Y1q6Tx6QbNfhgprcW054/FQal1sFE+aVOMMkaZEVhbUpN9OW8yAQldjoyCTkDdWGt+vlnnKadNG\nHVYabfAZXV/80hdV3+5pP2dXv+oK1beHmLLcaZrzO9/+VrddtIwaUOmLYWzZpKnMRfKzl5Z8u9nQ\n89dskA9uMhjziMRRzXtI1bIzlGdKC0TDEzpbboKUfKSuMxhLuj8OP6jXT76efaPbvv7dWlWuQWG6\n+36kw3lZpciWcoxj75/n8/qeLljdaFRnRdZqft5tZievJbnIevVBgScgIKAHwoMfEDCA6IupXy60\nI6tcqSOXopTMN5NUVCF6LzHmC+vql4aWK3MyY43dxVl+uTGvHVWli0RPS050VNUIXKhMNGPOc0Re\ntEJ57aLU34vmfYbXPXu1vvvZ5/tMvldfslP15Ufu77Yf/snjqq9+xkXd9sKiNuc3jnnTOKnrLLFq\nxZ/v9Kw2VTOKyGsu+flsmZrWeeGvSbzsWrIAijbned7jSPcNs0jnqHaHKnUvSOISfb0czfWYyYg7\n9qjX1b/ts/9V9V3/m7/cbTct9faEn8+mWIFXqq1gIzupL1qWZOfHbWlijgK14jarRXjjBwQMIMKD\nHxAwgAgPfkDAAKIvPr5U2lRFZCiZkpgdMXSepP5zy/g/CQsvGjqjRdlekZEuyagwBsTslHbpbK0+\nouzWG+pIFU6zYqK8H7veQLSWZDq7bJhUcF73ql9QfWec5UNx/8tnb1V9x+b88cZGN6i+2YYPM33i\np0+qvqU5rwTzirN1JePpee+/PrdHZ5AlwusUtH7S0ll2vL4hUe93TWF8/ILWYUzNDAxRFmbd1Nxz\nFEpsVZ8cxUMndU2hjcOr7Mz8VCvpfOsvPeX5+t+4VvX9uOlDoOU5u67k78HI0Msl3S92DQiO17HM\nc8OZl+aeKwq7WHBirPqNLyKRiDwgIrd3Pq8TkTtEZJeIfFtExk+2j4CAgBcHfh5T//0AHqXPNwO4\n0zl3AYC7AHz4VA4sICDg9GFVpr6IbANwPYDfB/CBzp9vAHCcT7oFwN1o/xgsR7NDA8WaRhLxogWW\nXhOlo65/nwr6LDZajmuJxTpCrZ4SDaIDyFDyMQpT+43KQY+O6myvImMaEAbL/kDH899bnNmv+obW\n++P9woYLVN+Xvvjn3fabd+oS2t/52/u67aef1e7DU7v9b/bosM722rpxU7fdMLXYpo96M3ZhTu+T\npeArVJq6UtG3VUp9MAKobJqW5lpyjbjIFKxLyIsTIx7K7kRprzPV0ksNbRtV/FjGY23AHtvloym/\n+/UfqL5fe9f13fYP77lf9e19yLsMIw1Tk3HRu0SZsfRTMu+tiIv6vCxSsPc9x1jtG/9PAHwQOh5w\ns3NuqjOQAwA2neiLAQEBLz6c9I0vIr8MYMo59yMRuW6FTXtGEnz8j77c2VeGna+5ENftuPDnHWdA\nQMBJcOTwIRw+fPjkG2J1pv4OAL8qItcDqAMYFZFbARwQkc3OuSkR2QLgYK8dfOx33goAEGPqBwQE\nnDqs37AR69Z7NuenT+7que1JH3zn3EcAfAQARGQngN9xzr1LRD4J4CYAnwDwHgC39dxHqx2q+853\nf1T9/ZZb/7Dbjo0OoXCNemNLROSDO0sDUuxjafzVkmqV2ywqRb0lep8phX0mTVPHnPxJZ5UP5YTN\nzve83zvitHhjXH95t/2F792p+op5f+7ff0SH5bZmvT+576Cmo84997xu+6dPPaH61kd+reXQQb3e\n0Fr0YbqjhjZrtPy4I5r3kSHtc6ekUGPDXaPM+7n1mg6vrVZ96G2tpqm3es1neloqeIlUfWyNRF6v\nKU2WolBN+kqsj7dpwh9j5hktJvq9e+7ttu+96wHVd+ZLfFjwzhtuVH1/+elvdttpYm9I5pdXCstd\nwf9fAS8kgOcPAbxRRHYBeH3nc0BAwP8A+LkCeJxz9wC4p9OeBvCGlb8REBDwYkRfIveijin2n2/9\nD+rvMZu4ptwvRzI5K5pB5mLd2Oy586ckxvTOS6ZIzKlTqWVrLTkap0CbgILeIgx6H8bEJTOTBScB\nYGzIm8bXXaG18++++/vd9uFnnlN9Tx3xlNO6ic2q77Fd3i244ILzVF+SeheoaYQkh2veJSlNBuXG\nUW/GVkkzPjX0mhLYEOMOpX7S6jXt79Xrfh4SU77b0a3LFB1g5tpECnL2ppi6i0wfloYHdGR6jyV6\nbpsLfttzjchps+FdkiIxgrJUVyLK9fkhoXtV92hhGGO0W8GXXgix+gEBA4jw4AcEDCDCgx8QMIDo\ni4+fd1RcxNQ4++N/733+D/zbD6i+uO79r8yE8ya0HpCZLDsO540To2yTs9+mvyckAWSzoTJy3lOx\nsZXeny0bpsYf+/zmaxkpBz363LTqu6zwdNGhfTrTzTVJ9SbTl++Z57yP70TPdVH6sQ0PD6m+paY/\n37wwvi21hyraJ04r3v+PSDGmtPQrzVkl1QsFTK9VTW05XnuIYv09FmotTIZaSr57ZjL+oOoZ2ixM\nVlOytQ4pDFg0/fr03c9022/5Z1oVaYSEP7/5J3+t+oSm2lW0ck/JWX3S+/0s5j5umevXC+GNHxAw\ngAgPfkDAAKIvpn7SaEd/WVrun3/4n/sPhj5ptLypY83rMuYsOytg6CkTyfXvWkrm9bJIOvpLy1JO\n1FfkepxNMu8TywMqcQ8NFogoR3Vp5b/+m7/vtq+99CLVt7Dkw54feFTHZd94469121/72u2q7+KL\nXtltx6mm2yKqPRdFRmiURE9LY8O3soK2I7ENsZl0/jpYk52jJHNDyyWJ/yxmXFzPIDf3DguwiDX1\n6RziuGG6OPNSH6/IaT+poR1pN9/9tM7OG6Fox7qhJGsb/HU/Njun+tip4rLwgBbYLIy7khhXqhfC\nGz8gYAARHvyAgAFEePADAgYQ/amd16HDEisESC5jkZlMKZbISTT95HKiZET7aeC684YGaTZZbNOq\n+vj9JKZIB7myy5RgqpS5V65ApZRG8oe92Ro0TVZWz+62v3CfzpabHNrSbbtIZ4l985s+22tkXPvx\nwxReWzE+6tISFS8x6zBJxJSdnhfOBGNhTOvji1rhMBmTdB2KyIRYM41r5I2UQpNZe8hKfy/ZNQue\n+Tw3lB350na5plrzx8vMOs+GybO67TjRx+P6jcsVmngdy9Rk5MxOMxjeVCzVtwL1xwhv/ICAAUR4\n8AMCBhD9MfVHj5cqNiKWGQk5VLT56Y4e67Ybpuwym0HZMjrPm+ypqXNX1rz5W2Q6U4rFNsvcRPWR\nCSi5PoeMRDNjsbYcUVzmN5ZN6FZVj6U67se9taqlDO+/70F/Dk1NAcWjPhPs4pfq733wn/py0XNH\n9Dj/jy94SrKSGhco97fIssyvZefbRrTMLKf5s30rZDQqJs64SiXVYSydHheLdtqot5KzPk1frGhj\n7XawKKitrSjkOsVi7nESlGmYe479CesesUdklfIjlZ1nMhMLS0WfGOGNHxAwgAgPfkDAACI8+AEB\nA4i++PjlQju0VIwvVhTexy+XtD+ekUJNbHwqri0fi6HJSDAxKrW/lVD46TJPiPytzIZBClNVRtxT\nndMKdcxtXXhSB4oN5cS14CMTrnzllZd12/f/vQ4P/Y1/4ENAf/ONF6u+M88c7bbLSX32l17m1z7u\nvVf7oU5IGdnSdOxrcjlDsxbAawO2T9XSW7Z/3y5NH98DdumhXOETb2zvR3VsW+CF1nkKI9LJLHVu\nsvq4UkZkaGIe9wrR3svoPOYFl1Gnq3yVhzd+QMAAIjz4AQEDiP6IbXbsj2WZdIqS0d9xhf9Naloa\nkOivISPEMbbhgN9HrqPX9u7zlJbNaop4AMa8LmjccWJ02skos+Y8f7QRVgllpWXGJZHCU31pamhH\nOvyVl2tzfm72J912q6G/l5GgZys/pvrevsMf7/t/c0iPJfJRk6Uxm9lsX0ksAitEmjnqLI1aKUvw\nu0yb3rURn/XWKEzUG9HELtKuYEo0al6ajD/K8osSnUnHkZc2SzFmcQ/rCpaULbrsHvcnmJiIv2bL\nU9ixeT8L3fPOuk72QeqB8MYPCBhAhAc/IGAA0Z/IvePCD5GJwCOh9shqsR3z5oxdSa83/e/VU3t/\nqvp+//ce67YnW0dV303vvNYf2yQMSeqnolKYJB3hxA6bbMPReWZVX7V1X06r+lb3Q5nUpgyYo0Sg\nRq4v36PP+ESc73zvZ6rvHTd6k71lTOp3fZCqn6XnqL7RUT+4ZIWy3xytZ6MUWc/QWR14WcFdoHEW\npvTW4vwstXUE48ycZyLm57Q+3uR67+7ZQgjVKgl4mAg8vkg22YYTc5xx2+C8SxIl+v5nt6c2ZJOq\nRnlD1VeQYMmcEfCwgiW9EN74AQEDiFX9PIjIMwCOoU2KZs65q0RkHYAvATgHwDMA3uqcO9ZzJwEB\nAS8arPaNXwK4zjl3mXPuqs7fbgZwp3PuAgB3Afjw6RhgQEDAqcdqfXzB8h+JGwAcFxG/BcDdaP8Y\nLP9y0vFvIyPySFFNTHu0OylbrqX940Wq7zY6rLXsZ4/50spJqYUqDh71Pn/LRG1FRHelVZN9xT53\n1FvMsDDCjioiz9TxE8ogaxqnMW9pX5DBYh9jo2Oqb3HO+6/f+4nW1b/8lX5+/5ff/ZoeN5WE3rJJ\nR1DmtDYROxs95/sUi2TmNuNOM0c5r7VENp7SXxMrcZI0/DEyc38MU3nt4eFR1aejQHsLXDin78ec\n1jcSs+aUt0j4w/jjUeSzRfPcRn36syrMPll8tmrWFBzVb6yM69Ll1dappfMcgO+IyH0i8ludv212\nzk0BgHPuAIBNPb8dEBDwosJq3/g7nHP7RWQjgDtEZBdOoBjd68v/9pOf72wRYedrXo7rdrz8+Yw1\nICBgBRw6sB9H9+4/+YZY5YPvnNvf+f+QiPwVgKsATInIZufclIhsAXCw1/c/+r/+arvRMfnK2bbJ\nLbGP3HORFuLgMsXOUBQlRb1hSZtI1SG/bXZMm8wFa6plRqCBk31Kqy3n21Gif99Yw92ZKEKm90rY\nZAp/vvXIRqyRyWvNa6L3GrO69NYIlZV2sdYp/M+3e1rrkit3qL6YS38bDcPGkjdjXWlN8R5Rd7Y0\nFWnbOSOoEUVcKspQulRC25qmih41LgLTZJGZvybRbRVTYo1t/cK8x6rkDln9xITOwZnj8VRIpOcl\nI8EXdhcAIKlThKHRQRT63gSVNZvYdjbSV/j6CT955CH0wklNfREZEpGRTnsYwJsAPAzgdgA3dTZ7\nD4DbTriDgICAFx1W88bfDODrIuI623/eOXeHiNwP4Msi8l4AzwJ462kcZ0BAwCnESR9859zTAF55\ngr9PA3jD6RhUQEDA6UVfQnbluDhGbOiTmPx44+NMDBFdUzH02qL3X797RPvxY8Pe39q0SRMNswf3\nddsLLe0XsoBixejHJyPe3xoXK/ro/S2rcxiRz2/FNoaGvTBmYgQuXcShqnpeKuQHF0agRIU9R/p7\ntZRCoKHXU1oUDlsYHzWte9/W5dZ398dQYhRF7yw+Z+aPy1gnzghcUo2E1FJaNGeRoVhTOl7D0Id1\n2tRZgRdOn4s1TdYqWVTVZG9SXYS8Oa/6qrG/dxqmPsTLX+7Do192wVmqr7FA/r+hFmup32fN7HNx\nycfQ/Sl6I4TsBgQMIMKDHxAwgOiLqe86EViRaBMTXMbaCFxUKKOrYsQUQAFrGytV1dWKvfn52kt1\nptmmM71ZdOjgEdUXUWyY1eNPiIappBOqL019dKBzppwXRbCNjusoO00XmShCFvcwFBeXnIoia1JT\nSSuT1ddSZrmhnCgy0ZmouySha2bpSqK/2OWxWXYt0pNfri3nv1caJUTWyxdjzkdN+l6p532Rypyl\nib4/Gk0/lvkFHfW5tOD3c/DQAdWX0ZwNmXuuNuTnaNPWzarvht98e7e9ZYMuh96iehFFZlzI2I+z\naqjuClF4aaJdusZSyM4LCAjogfDgBwQMIMKDHxAwgOiP2Gaz7b+UhabeFhf951mTVTQ/5X3w3Xu1\nP/69R57qtu9/eJfqK8Yv6bY//KePqr460UVZpsfSJJqp2dC+ZkyUTFZquubVO36p2+Z6bgAwNOwp\nobgyovoi5asbxZoi4w/Qnb5ZsaW3c+8XWoFGrqlmBRk5FNcZ+nBp0Wc0LsxqNZvFJZ8BOL/o/ePW\ngva5ndWa153dZm7oQhW2bYRa88iPJU/0+smv/8qbuu3moh6zpH7bbeeuU30JzUu9asfsM0tzM7eX\nvOzCbnt8TNOACVFvWdE71Dc3+YcRqfpYZacK7bNqSp7PRT0j5/X+V7VVQEDA/68QHvyAgAFEX0z9\nl7y5rc8RxZomK1gr3Zi7EdFPztA8DaIFU0MxOefLSEfGTF4k09GKZug0Km1aZeLN+7TUJvtRckk2\nbNBU38zRqW57fkaLgs7Oev36xUVjGtNlcaa0MpfXygs9Ti71bd0HRbclhiKkaD0rpxmtILAJzkwk\nIZUIRlRihbJVOlvPXEs69FKk5+HGX/E02bnnnKH6miSqUhozOSaqr9U0gidk6pvATrzyFRf5D+ae\nGx/1NPGQEXHhLUun7/9m7q+7FWOlRNJlkYlR4vdTqep92m17IbzxAwIGEOHBDwgYQIQHPyBgANGf\nMtkdBZY8N4KaSinFFJzgsE+TMRaTLxabkNYKKfA0CyMc2SD1b5vtZWNJeZhUYKM0vubTP/N04uNP\nmDptNb/Pxrwe5/AwhfoWOrS4QdRbYik7zvIzGXjCIdHmexzqa0+Va8ahND64Wu8wQpIUZs0htbYu\nYULXz8V6/orCFwFpmiIWKWUp/k9vuEL17bjygm579z5d769W89ed1X8AoCDatmL84ckzzuy2R0b0\nPKSU+ZhWdF09Toq091G17q9Jo2nOL+0txppT0Qy7ysLLU0sm1De29G8PhDd+QMAAIjz4AQEDiP6Y\n+l3zx4gGkllUGNNUaZzbHZK5lpvMpXO3e3PtiV1P6+/R8ZaRVExNwUbu+WkqjUnWIrOrXtd1Ax5/\nwpetjkS7HceotHPdiEXmJIxx/kvP1+Ok6EeBFQUlF8HQeSuV89ZipkZMlMRT0lRnpbE4Zkz8U5ab\nsuYVT3e94x9dr/p27d7t+258m+r78tdv7bb/59+6SfXde+/93fbYiJ73Js1fZETph8Sfw9AZk6pv\n84YN3XZuIju5NmDNlLRm4RRnhDFjMucTS7+SS7eMhiMXqzRa/VnL04CNeT3O+QUdqdgL4Y0fEDCA\nCA9+QMAAIjz4AQEDiL74+MfrzZVGjZJ9l3g5x9RtithhUh1z43MXS15VJTGFKkoWqjRjYTdXjD/O\ntGOS6D6h8E0rYplEnvbJzPmNkC9oanSAXcjLX6GrDnG2ly23Vkn88Ypc+37sx6vsPwBl09eTf3rv\nlOprNb3PaIU4c87qy1mBR9N5LzlnW7f93ft0kYebfv1d3fYPvv9d1SepV6w5f4tWtrlXjUOPq1b1\nPj9n+AFAmfi+C88+W/XN09pEZNY6ODx62ZoTZQ7a4i8xcX1i1g3YdbcFV3i9Jjfh5YtHfVZkVupr\n2bJFBnsgvPEDAgYQ4cEPCBhA9EeIo0MtJbH+neHMonpNCxiomnS2ZpuyirS9O7fgzamxUV0iWe3F\niFEkpKVfGrO8PuTHKc5kX1FWWl7oqLSsRW6Hifbik5BlNKcf6RnnXqr6vnn7F7vta191leqLaH7/\n/sEfq77LL/M1UazJfmh+rtu22WzKijbzErPYpspu1LTfoYNeHOJP/uh/V32bNvi5vfeBu1XfmRs9\nvfZ3996r+hJ2v2paW14oeq2V6ev1i9e8yvctabHNiNwj65oxjWvFSivK/TLXku6zqnFZc4pUtGIb\nQvd/2dTZmzmPbVm2ozb9e2FVb3wRGReRr4jIYyLyiIhcLSLrROQOEdklIt8WkfFVHTEgIGDNsVpT\n/9MAvumcuwjAKwA8DuBmAHc65y4AcBeAD5+eIQYEBJxqrKZa7hiAa51znwUA51zunDsG4AYAt3Q2\nuwXAjadtlAEBAacUq/HxXwLgsIh8Fu23/f0A/iWAzc65KQBwzh0QkU29drCpU0ggN1QDF4SYX1xQ\nfVZEkHFo1vukW02RgozEIqePaWHMMzf7cF7k+nj7Fnzm3tkbzlR9lZbfdirT/mQqPuzzF3dsUX1H\nZvw4t2zS3wMvB6QmXJmUij7yofervj/+9B9020PmZ5upq1+/8R2qryChR4m0D75hvafK5uaeRS84\nZ1WLKASa/NfIvE+Ynowr+ly/+V+/020vzeq+4WFPJcapXgMaHSOf27i1Cc3nq6/R6yBCobAFTFgu\nueepoUod+epGoAkF+f+lWecR+HWmpGL8+AZRrLEJE6c1jMaMDsPlkGsx4bxSLCMbT4jVmPoJgMsB\n/Efn3OUAFtA28+0RVnfEgICANcdq3vh7AOx2zh3PivhLtB/8KRHZ7JybEpEtAHrq+u7bvx9AO494\nZHgEIyOjvTYNCAh4ntj1xBN47NFHT74hVvHgdx7s3SJyvnPuCQCvB/BI599NAD4B4D0Abuu1j6EO\nHTYyctws7piMlJGkarRBCwpaY2LjmNdGz63QAlFV4+YHJs+8ySSxPvVNI95luP1rn1d9o1t85Flp\nBCErZKF9/nP/RfUtKRFNkxGXsrlmKBmiKM/epiPW4owEIY3WPLtO1Yq2VblydZFr07FF2V42upKz\nxpZXqpAAAAdMSURBVGxwJVOuLOZpKS2OSvvaX92h+o7se6bbXjTloI8e9df5+ht/TfV94S8+58cR\naxdh5qg/H4n19cobvs/SmkLlrgtT6rskmqy0wjBkbqeRpm352kai+yKqDWAjV7MmRxGasu0J1SIg\nMdbzzz8fZ231buq37vg2emG1PP77AHxe2rGsTwH4J2gT6F8WkfcCeBbAW1e5r4CAgDXGqh5859xD\nAK48QdcbTu1wAgIC+oEQshsQMIDoS8ju6Ei7RpmzPhW5kxVDMXHddKs0w+lsy1RNIlobMOKNboV6\ndTHRUUssygmgSll3P/nO46ovcr6OemLPISefznBABf3mFkaEUahuW2PGFJJ47zu77T/6959Wff/s\n5t/utjeYTMEacVWJCR199Om93XbVqMsIjTOOjZNP1zMmv7OSmDULOr99P3tC9V11mQ+hvW+X7nOF\nz0KLU732oEZiau5dfuXl/oOpV/fQww9027/w0otUX0FZhc7WsnO91zrUvWqknXJaK6iYp41rMo6P\naxWhIj/sj23WgAq6l8Rck9JSrj0Q3vgBAQOI8OAHBAwg+pSdl2Jufm5ZthynfpUyp7pi+Bp1rVxn\nJ7UWfCTdsIncEwrGOnxkRvVt2tymxubn5zBmqL7dM3u67WxRm3nv/t3/2G0PHdb7bCz4MtLj49rO\nu/Lqa7pt50xgY+Fwzz13Y+fO67Bv7z7Vdc5LfC24VqbP/ZZb/7zb3jasowHv/spXuu1//aGPqb6n\nn/a1+2zdwHO3n43p6SOYnFyPvXv3qr5CCT0YV418tST2roXYWgBcM66iTdof/tjXOowrbdN3auoA\nNm/egoLKjluRk4zCQC0dWq/6eZlb0tGbm7dt9/swbkBJGvWuc2/+5JFHcMnFFyOnjMnYuAESsfCH\nds3KwpvzLjEZmlQ+fL4xq7oqKdVB6AjDPP74Y7jwwovU8QszL/Wh1cXI9O2NPz8/d/KN+oQXy1j+\n+p571noIXUxPT6/1ELo4ODV18o36hEceeWSth9DF47seO2X7CqZ+QMAAoi+m/oUXXYgsb+HCiy7U\nHWTqZ6VOmonFm2vLBC6WfMRTfULLAHDCxsyMNq8nJ9uRg0XRwkVmLOvn/LaVmjZHX0rRULVhbUq1\nlvzxR0a0KVyt6VV+htD/lapNSKIVeFPSuhL1/q3mhI1t27aaPlqxNiu/rSzH9PQRnHfeeRijqEjg\nBGXPeoC1CGNY4RR/m21/yXbV5ejaRp3ErN3PPYvt27cjNmXVGRtIA9/WSBge8vfOsl3QHNVM9Gar\n5W+evFPCvVarYWJiQukLRol1Lfx1jozYDAvMpCbxTIhpqWaGuaISWlnRHme9Xsf69ZOq7kNmIwzz\n1QlxyEo1404FRGwuU0BAQL/gLIfewWl/8AMCAl58CD5+QMAAIjz4AQEDiPDgBwQMIE77gy8ibxGR\nx0XkCRH50Ok+njn2Z0RkSkR+TH9bE3VgEdkmInd1VIofFpH3rdV4RKQqIj8UkQc74/mDtRpL57iR\niDwgIrev5Tg6x35GRB7qzM29azWe061sfVoffGmHVP2fAN4M4GIAbxeRC1f+1inFZzvHZqyVOnAO\n4APOuYsBXAPgtztz0ffxOOeaAH7JOXcZgJcDeJ2I7FiLsXTwfgAsHbOWCs4lgOucc5c5544L9q3F\neE6vsrVz7rT9A/BqAP+NPt8M4EOn85gnGMM5AH5Mnx9HWygUALYAeLyf46Fx/BXaegZrOh4AQ2iX\nonvZWowFwDYA3wFwHYDb1/oaAXgawHrzt76OB8AYgJ+d4O+nbByn29TfCmA3fd7T+dtaYpMjdWAA\nPdWBTxdEZDuAVwL4AYxacb/G0zGvHwRwAMDdzrlH12gsfwLgg9CZtmsyJx04AN8RkftE5LfWaDxd\nZeuOC/R/i8jQqRxHWNzrszqwiIwA+CqA9zvn5k9w/L6MxzlXurapvw3AtSJyXb/HIiK/DGDKOfcj\nLA/A69s4DHa4tpr09Wi7Y9ee4PinezynXdn6dD/4ewFwLeJtnb+tJaZEZDMAnEwd+FRD2uLzXwVw\nq3PuuDjpmo0HAJxzswC+CeCKNRjLDgC/KiJPAfgC2msNtwI4sFZz4pzb3/n/ENru2FXo/7ycSNn6\n8lM5jtP94N8H4DwROUdEKgDeBuD203xMC4F+m9yOtjowcBJ14NOAPwPwqHOOpXP6Ph4R2XB8RVhE\n6gDeCODBfo/FOfcR59zZzrmXon1v3OWcexeAb/RzHMchIkMdiwwiMgzgTQAeRv/nZQrAbhE5v/On\n48rWp24cfVgseQuAXQCeBHBzvxZpOsf+CwD7ADQBPIe2OvA6AHd2xnQHgIk+jWUH2gV7f4T2Q/ZA\nZ24m+z0eAJd2jv8ggIcA/KvO3/s+FhrTTvjFvTUZB9q+9fHr8/Dx+3WNrtEr0H5x/gjA1wCMn8px\nhFj9gIABRFjcCwgYQIQHPyBgABEe/ICAAUR48AMCBhDhwQ8IGECEBz8gYAARHvyAgAHE/wcilpzy\nd3pA5QAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x114c13810>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"imshow(gen_images[8, 3], interpolation='none')"
]
},
{
"cell_type": "code",
"execution_count": 250,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"gt_images = np.load('gt_images.npy')"
]
},
{
"cell_type": "code",
"execution_count": 251,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x114ff33d0>"
]
},
"execution_count": 251,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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p2y513OweIJwwpBITgRBV/urm25XsguVCjOnKmr39nZedn7djU0Y6gIxGW68B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\n/G9KMOwrg37XNQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x114f045d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"imshow(gt_images[8, 3], interpolation='none')"
]
},
{
"cell_type": "code",
"execution_count": 252,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import imageio"
]
},
{
"cell_type": "code",
"execution_count": 253,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/usr/local/lib/python2.7/site-packages/imageio/core/util.py:104: UserWarning: Conversion from float32 to uint8, range [0.0, 1.00000011921]\n",
" 'range [{2}, {3}]'.format(dtype_str, out_type.__name__, mi, ma))\n",
"/usr/local/lib/python2.7/site-packages/imageio/core/util.py:104: UserWarning: Conversion from float32 to uint8, range [0.0, 1.00000023842]\n",
" 'range [{2}, {3}]'.format(dtype_str, out_type.__name__, mi, ma))\n"
]
}
],
"source": [
"for i in xrange(32):\n",
" imageio.mimsave('img.%d.gif' % i, hstack([gen_images[:, i], gt_images[1:, i]]))"
]
},
{
"cell_type": "code",
"execution_count": 254,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"flat_masks = (masks/masks.max(axis=(3, 4), keepdims=True)).transpose((0, 2, 3, 1, 4))\n",
"for i in xrange(32):\n",
" imageio.mimsave('masks.%d.gif' % i, flat_masks[:, i].reshape((9, 64, -1)))"
]
},
{
"cell_type": "code",
"execution_count": 255,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(9, 32, 5, 10, 5)\n"
]
}
],
"source": [
"flat_kernels = kernels.transpose((0, 2, 3, 1, 4))\n",
"print flat_kernels.shape\n",
"for i in xrange(32):\n",
" imageio.mimsave('kernels.%d.gif' % i, flat_kernels[:, i].reshape((9, 5, -1)))"
]
},
{
"cell_type": "code",
"execution_count": 256,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(9, 32, 5, 10, 5)\n"
]
}
],
"source": [
"flat_layers = (tf_layers/tf_layers.max(axis=(3, 4, 5), keepdims=True)).transpose((0, 2, 3, 1, 4, 5))\n",
"print flat_kernels.shape\n",
"for i in xrange(32):\n",
" imageio.mimsave('layers.%d.gif' % i, flat_layers[:, i].reshape((9, 64, -1, 3)))"
]
},
{
"cell_type": "code",
"execution_count": 257,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(9, 32, 64, 11, 64, 3)\n"
]
}
],
"source": [
"flat_masked_layers = tf_layers * np.expand_dims(masks, 5)\n",
"flat_masked_layers = (flat_masked_layers/flat_masked_layers.max(axis=(3, 4, 5), keepdims=True)).transpose((0, 2, 3, 1, 4, 5))\n",
"print flat_masked_layers.shape\n",
"for i in xrange(32):\n",
" imageio.mimsave('masked_layers.%d.gif' % i, flat_masked_layers[:, i].reshape((9, 64, -1, 3)))"
]
},
{
"cell_type": "code",
"execution_count": 258,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def greyscale_to_rgb(a, time_dim=None):\n",
" if time_dim == None:\n",
" return np.transpose([a] * 3, (1, 2, 0))\n",
" return np.transpose([a] * 3, (1, 2, 3, 0))"
]
},
{
"cell_type": "code",
"execution_count": 259,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"n_samples = 32\n",
"for i in xrange(n_samples):\n",
" merged_mask_layer = np.stack([\n",
" greyscale_to_rgb(flat_masks[:, i].reshape((9, 64, -1)), True), \n",
" flat_layers[:, i].reshape((9, 64, -1, 3)), \n",
" flat_masked_layers[:, i].reshape((9, 64, -1, 3))\n",
" ], 1)\n",
" imageio.mimsave('masks_n_layers.%d.gif' % i, merged_mask_layer.reshape((9, 3*64, 64*num_masks, 3)))"
]
},
{
"cell_type": "code",
"execution_count": 199,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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af3E+OSqxGKJXWReyjogRRipyIxTypmnprA5tIqsV2eGBktjRSGCIrsOEdVQH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FX+ufFNa5K3N2Vp/SO5ar5cEaJzDwCAp4sAJtveno8heYgRJYJossAgouONB4c/e/r0uaZQKLcJ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\nAElFTkSuQmCC\n",
"text/plain": [
"<PIL.GifImagePlugin.GifImageFile image mode=P size=704x192 at 0x11BAC8250>"
]
},
"execution_count": 199,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"PIL.Image.open('masks_n_layers.10.gif')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.10"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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