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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import os"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Data Loading"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"# set path to resutls files\n",
"path = '../../out/pretrained/clevrer/loci_unlooped/results/net_loci_unlooped'\n",
"\n",
"# load pkl file with results\n",
"df = pd.read_pickle(os.path.join(path, 'blackout_metric_average.pkl'))"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"msecomplete_average: 13.490\n",
"msecomplete_std: 10.810\n",
"\n",
"mseblackout_average: 28.232\n",
"mseblackout_std: 7.041\n",
"\n",
"msevisible_average: 9.688\n",
"msevisible_std: 7.981\n",
"\n",
"ssimcomplete_average: 0.829\n",
"ssimcomplete_std: 0.096\n",
"\n",
"ssimblackout_average: 0.709\n",
"ssimblackout_std: 0.055\n",
"\n",
"ssimvisible_average: 0.860\n",
"ssimvisible_std: 0.078\n",
"\n",
"psnrcomplete_average: 26.774\n",
"psnrcomplete_std: 4.724\n",
"\n",
"psnrblackout_average: 21.757\n",
"psnrblackout_std: 1.126\n",
"\n",
"psnrvisible_average: 28.068\n",
"psnrvisible_std: 4.425\n",
"\n",
"percept_distcomplete_average: 0.300\n",
"percept_distcomplete_std: 0.138\n",
"\n",
"percept_distblackout_average: 0.474\n",
"percept_distblackout_std: 0.053\n",
"\n",
"percept_distvisible_average: 0.255\n",
"percept_distvisible_std: 0.116\n",
"\n",
"aricomplete_average: 0.365\n",
"aricomplete_std: 0.334\n",
"\n",
"ariblackout_average: -0.022\n",
"ariblackout_std: 0.038\n",
"\n",
"arivisible_average: 0.465\n",
"arivisible_std: 0.302\n",
"\n",
"faricomplete_average: 0.305\n",
"faricomplete_std: 0.281\n",
"\n",
"fariblackout_average: 0.018\n",
"fariblackout_std: 0.049\n",
"\n",
"farivisible_average: 0.378\n",
"farivisible_std: 0.269\n",
"\n",
"mioucomplete_average: 0.163\n",
"mioucomplete_std: 0.142\n",
"\n",
"mioublackout_average: 0.012\n",
"mioublackout_std: 0.015\n",
"\n",
"miouvisible_average: 0.202\n",
"miouvisible_std: 0.134\n",
"\n",
"apcomplete_average: 0.289\n",
"apcomplete_std: 0.295\n",
"\n",
"apblackout_average: 0.000\n",
"apblackout_std: 0.006\n",
"\n",
"apvisible_average: 0.363\n",
"apvisible_std: 0.287\n",
"\n",
"arcomplete_average: 0.301\n",
"arcomplete_std: 0.329\n",
"\n",
"arblackout_average: 0.000\n",
"arblackout_std: 0.007\n",
"\n",
"arvisible_average: 0.378\n",
"arvisible_std: 0.327\n",
"\n",
"blackoutcomplete_average: 0.205\n",
"blackoutcomplete_std: 0.404\n",
"\n",
"blackoutblackout_average: 1.000\n",
"blackoutblackout_std: 0.000\n",
"\n",
"blackoutvisible_average: 0.000\n",
"blackoutvisible_std: 0.000\n",
"\n"
]
}
],
"source": [
"for key,value in df.items():\n",
" print(f\"{key}: {value:.3f}\")\n",
" if 'std' in key:\n",
" print('')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "loci23",
"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": "3.9.13"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|
