227 lines
3.8 MiB
Text
227 lines
3.8 MiB
Text
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "3b0da81a-64e9-4d26-8052-35cdad9f8286",
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"metadata": {},
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"source": [
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"# Overview of snapshots"
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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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"id": "9242135b-1621-4724-9f4b-492cf62426b4",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "b432c0a0-bbc8-436d-afac-aeccb41dcb1c",
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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
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"import tabulate"
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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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"id": "455b6f9f-90f2-4a03-bc50-8719812f4f56",
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"metadata": {},
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"outputs": [],
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"source": [
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"%run ThisPlaceDoesExist.ipynb"
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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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"id": "2422da85-e6d1-4e07-bf25-05aec3d16a6a",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<table>\n",
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"<thead>\n",
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"<tr><th>idx </th><th>nr </th><th>dataset </th><th>conditional </th><th style=\"text-align: right;\"> resolution</th><th style=\"text-align: right;\"> gamma</th><th>duration </th><th style=\"text-align: right;\"> iterations</th><th style=\"text-align: right;\"> last_fid</th></tr>\n",
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"</thead>\n",
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"<tbody>\n",
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"<tr><td>0 </td><td>00001</td><td>paris3 </td><td>True </td><td style=\"text-align: right;\"> 256</td><td style=\"text-align: right;\"> 8.2</td><td>3 days, 10:34:26 </td><td style=\"text-align: right;\"> 2600</td><td style=\"text-align: right;\"> 502.277 </td></tr>\n",
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"<tr><td>1 </td><td>00002</td><td>paris3 </td><td>True </td><td style=\"text-align: right;\"> 256</td><td style=\"text-align: right;\"> 2 </td><td>5 days, 3:43:08 </td><td style=\"text-align: right;\"> 6560</td><td style=\"text-align: right;\"> 190.346 </td></tr>\n",
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"<tr><td>2 </td><td>00003</td><td>paris3 </td><td>True </td><td style=\"text-align: right;\"> 256</td><td style=\"text-align: right;\"> 2 </td><td>18 days, 13:01:50</td><td style=\"text-align: right;\"> 25000</td><td style=\"text-align: right;\"> 42.9661</td></tr>\n",
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"<tr><td>3 </td><td>00004</td><td>paris3 </td><td>False </td><td style=\"text-align: right;\"> 256</td><td style=\"text-align: right;\"> 2 </td><td>15 days, 16:13:20</td><td style=\"text-align: right;\"> 22800</td><td style=\"text-align: right;\"> 15.6691</td></tr>\n",
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"<tr><td>4 </td><td>00009</td><td>paris3-1024.zip </td><td>False </td><td style=\"text-align: right;\"> 1024</td><td style=\"text-align: right;\"> 32 </td><td>0:00:00 </td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\"> 549.99 </td></tr>\n",
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"<tr><td>5 </td><td>00010</td><td>paris3-1024.zip </td><td>False </td><td style=\"text-align: right;\"> 1024</td><td style=\"text-align: right;\"> 32 </td><td>50 days, 3:15:24 </td><td style=\"text-align: right;\"> 15200</td><td style=\"text-align: right;\"> 33.2466</td></tr>\n",
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"<tr><td>6 </td><td>00011</td><td>paris3-1024.zip </td><td>False </td><td style=\"text-align: right;\"> 1024</td><td style=\"text-align: right;\"> 10 </td><td>5 days, 18:48:04 </td><td style=\"text-align: right;\"> 1760</td><td style=\"text-align: right;\"> 200.356 </td></tr>\n",
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"<tr><td>7 </td><td>00014</td><td>paris3-cropped-256</td><td>False </td><td style=\"text-align: right;\"> 256</td><td style=\"text-align: right;\"> 8 </td><td>2 days, 20:08:22 </td><td style=\"text-align: right;\"> 4160</td><td style=\"text-align: right;\"> 20.1699</td></tr>\n",
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"<tr><td>8 </td><td>00016</td><td>paris3-cropped-256</td><td>False </td><td style=\"text-align: right;\"> 256</td><td style=\"text-align: right;\"> 8 </td><td>7 days, 20:55:54 </td><td style=\"text-align: right;\"> 11520</td><td style=\"text-align: right;\"> 16.5185</td></tr>\n",
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"</tbody>\n",
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"</table>"
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],
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"text/plain": [
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"'<table>\\n<thead>\\n<tr><th>idx </th><th>nr </th><th>dataset </th><th>conditional </th><th style=\"text-align: right;\"> resolution</th><th style=\"text-align: right;\"> gamma</th><th>duration </th><th style=\"text-align: right;\"> iterations</th><th style=\"text-align: right;\"> last_fid</th></tr>\\n</thead>\\n<tbody>\\n<tr><td>0 </td><td>00001</td><td>paris3 </td><td>True </td><td style=\"text-align: right;\"> 256</td><td style=\"text-align: right;\"> 8.2</td><td>3 days, 10:34:26 </td><td style=\"text-align: right;\"> 2600</td><td style=\"text-align: right;\"> 502.277 </td></tr>\\n<tr><td>1 </td><td>00002</td><td>paris3 </td><td>True </td><td style=\"text-align: right;\"> 256</td><td style=\"text-align: right;\"> 2 </td><td>5 days, 3:43:08 </td><td style=\"text-align: right;\"> 6560</td><td style=\"text-align: right;\"> 190.346 </td></tr>\\n<tr><td>2 </td><td>00003</td><td>paris3 </td><td>True </td><td style=\"text-align: right;\"> 256</td><td style=\"text-align: right;\"> 2 </td><td>18 days, 13:01:50</td><td style=\"text-align: right;\"> 25000</td><td style=\"text-align: right;\"> 42.9661</td></tr>\\n<tr><td>3 </td><td>00004</td><td>paris3 </td><td>False </td><td style=\"text-align: right;\"> 256</td><td style=\"text-align: right;\"> 2 </td><td>15 days, 16:13:20</td><td style=\"text-align: right;\"> 22800</td><td style=\"text-align: right;\"> 15.6691</td></tr>\\n<tr><td>4 </td><td>00009</td><td>paris3-1024.zip </td><td>False </td><td style=\"text-align: right;\"> 1024</td><td style=\"text-align: right;\"> 32 </td><td>0:00:00 </td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\"> 549.99 </td></tr>\\n<tr><td>5 </td><td>00010</td><td>paris3-1024.zip </td><td>False </td><td style=\"text-align: right;\"> 1024</td><td style=\"text-align: right;\"> 32 </td><td>50 days, 3:15:24 </td><td style=\"text-align: right;\"> 15200</td><td style=\"text-align: right;\"> 33.2466</td></tr>\\n<tr><td>6 </td><td>00011</td><td>paris3-1024.zip </td><td>False </td><td style=\"text-align: right;\"> 1024</td><td style=\"text-align: right;\"> 10 </td><td>5 days, 18:48:04 </td><td style=\"text-align: right;\"> 1760</td><td style=\"text-align: right;\"> 200.356 </td></tr>\\n<tr><td>7 </td><td>00014</td><td>paris3-cropped-256</td><td>False </td><td style=\"text-align: right;\"> 256</td><td style=\"text-align: right;\"> 8 </td><td>2 days, 20:08:22 </td><td style=\"text-align: right;\"> 4160</td><td style=\"text-align: right;\"> 20.1699</td></tr>\\n<tr><td>8 </td><td>00016</td><td>paris3-cropped-256</td><td>False </td><td style=\"text-align: right;\"> 256</td><td style=\"text-align: right;\"> 8 </td><td>7 days, 20:55:54 </td><td style=\"text-align: right;\"> 11520</td><td style=\"text-align: right;\"> 16.5185</td></tr>\\n</tbody>\\n</table>'"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"tabulate.tabulate([{\"idx\": i, **run.get_summary()} for i, run in enumerate(runs)], tablefmt='html', headers=\"keys\", colalign=(\"left\",\"left\"))"
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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": 4,
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"id": "41babe7e-8184-4e99-bbe8-020775022702",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'2022-11-23T14:38:03'"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"image/png": "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"text/plain": [
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"<PIL.Image.Image image mode=RGB size=1792x256>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"'2022-11-25T06:00:35'"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"'2022-11-25T13:52:48'"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"<PIL.Image.Image image mode=RGB size=1792x256>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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|
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"'2022-11-25T16:30:32'"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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|
|
"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<PIL.Image.Image image mode=RGB size=1792x256>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"display(\n",
|
||
|
|
" runs[-1].snapshots[-20].time.isoformat(),\n",
|
||
|
|
" runs[-1].snapshots[-20].get_preview_img(7,1),\n",
|
||
|
|
" \n",
|
||
|
|
" runs[-1].snapshots[-5].time.isoformat(),\n",
|
||
|
|
" runs[-1].snapshots[-5].get_preview_img(7,1),\n",
|
||
|
|
" \n",
|
||
|
|
" runs[-1].snapshots[-2].time.isoformat(),\n",
|
||
|
|
" runs[-1].snapshots[-2].get_preview_img(7,1),\n",
|
||
|
|
" \n",
|
||
|
|
" runs[-1].snapshots[-1].time.isoformat(),\n",
|
||
|
|
" runs[-1].snapshots[-1].get_preview_img(7,1)\n",
|
||
|
|
")"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 32,
|
||
|
|
"id": "91611212-f075-49d9-b391-373598051721",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"# vertical_size = 256\n",
|
||
|
|
"# nth_snapshot = 5 # only show one very x snapshots (1 to show all)\n",
|
||
|
|
"\n",
|
||
|
|
"# exclude_runs = [0,1]\n",
|
||
|
|
"\n",
|
||
|
|
"# for i, run in enumerate(runs):\n",
|
||
|
|
"# if i in exclude_runs:\n",
|
||
|
|
"# continue\n",
|
||
|
|
"# display(md(f\"## {run.id}\"))\n",
|
||
|
|
"# for j, snapshot in enumerate(run.snapshots):\n",
|
||
|
|
"# if j % nth_snapshot != 0:\n",
|
||
|
|
"# continue\n",
|
||
|
|
"# # if \n",
|
||
|
|
"# img = snapshot.get_preview_img(5,1)\n",
|
||
|
|
"# img = img.resize((int(img.size[0] / (img.size[1]/vertical_size)), vertical_size))\n",
|
||
|
|
"# print(f\"{j}: {snapshot.iteration_str}\")\n",
|
||
|
|
"# display(img)"
|
||
|
|
]
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"metadata": {
|
||
|
|
"kernelspec": {
|
||
|
|
"display_name": "paris-stylegan3",
|
||
|
|
"language": "python",
|
||
|
|
"name": "paris-stylegan3"
|
||
|
|
},
|
||
|
|
"language_info": {
|
||
|
|
"codemirror_mode": {
|
||
|
|
"name": "ipython",
|
||
|
|
"version": 3
|
||
|
|
},
|
||
|
|
"file_extension": ".py",
|
||
|
|
"mimetype": "text/x-python",
|
||
|
|
"name": "python",
|
||
|
|
"nbconvert_exporter": "python",
|
||
|
|
"pygments_lexer": "ipython3",
|
||
|
|
"version": "3.8.10"
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"nbformat": 4,
|
||
|
|
"nbformat_minor": 5
|
||
|
|
}
|