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{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true,
"pycharm": {
"is_executing": false,
"name": "#%%Install Tensorflow 2.0 and dataset\n"
}
},
"outputs": [
{
"name": "stdout",
"text": [
"Requirement already satisfied: tensorflow-gpu==2.0.0-rc0 in c:\\progtools\\anaconda3\\lib\\site-packages (2.0.0rc0)\nRequirement already satisfied: google-pasta>=0.1.6 in c:\\progtools\\anaconda3\\lib\\site-packages (from tensorflow-gpu==2.0.0-rc0) (0.1.7)\nRequirement already satisfied: protobuf>=3.6.1 in c:\\progtools\\anaconda3\\lib\\site-packages (from tensorflow-gpu==2.0.0-rc0) (3.9.0)\nRequirement already satisfied: keras-applications>=1.0.8 in c:\\progtools\\anaconda3\\lib\\site-packages (from tensorflow-gpu==2.0.0-rc0) (1.0.8)\nRequirement already satisfied: termcolor>=1.1.0 in c:\\progtools\\anaconda3\\lib\\site-packages (from tensorflow-gpu==2.0.0-rc0) (1.1.0)\nRequirement already satisfied: numpy<2.0,>=1.16.0 in c:\\progtools\\anaconda3\\lib\\site-packages (from tensorflow-gpu==2.0.0-rc0) (1.17.0)\nRequirement already satisfied: astor>=0.6.0 in c:\\progtools\\anaconda3\\lib\\site-packages (from tensorflow-gpu==2.0.0-rc0) (0.8.0)\nRequirement already satisfied: keras-preprocessing>=1.0.5 in c:\\progtools\\anaconda3\\lib\\site-packages (from tensorflow-gpu==2.0.0-rc0) (1.1.0)\nRequirement already satisfied: tf-estimator-nightly<1.14.0.dev2019080602,>=1.14.0.dev2019080601 in c:\\progtools\\anaconda3\\lib\\site-packages (from tensorflow-gpu==2.0.0-rc0) (1.14.0.dev2019080601)\nRequirement already satisfied: grpcio>=1.8.6 in c:\\progtools\\anaconda3\\lib\\site-packages (from tensorflow-gpu==2.0.0-rc0) (1.22.0)\nRequirement already satisfied: opt-einsum>=2.3.2 in c:\\progtools\\anaconda3\\lib\\site-packages (from tensorflow-gpu==2.0.0-rc0) (3.0.1)\nRequirement already satisfied: wrapt>=1.11.1 in c:\\progtools\\anaconda3\\lib\\site-packages (from tensorflow-gpu==2.0.0-rc0) (1.11.2)\nRequirement already satisfied: six>=1.10.0 in c:\\progtools\\anaconda3\\lib\\site-packages (from tensorflow-gpu==2.0.0-rc0) (1.12.0)\nRequirement already satisfied: absl-py>=0.7.0 in c:\\progtools\\anaconda3\\lib\\site-packages (from tensorflow-gpu==2.0.0-rc0) (0.7.1)\nRequirement already satisfied: tb-nightly<1.15.0a20190807,>=1.15.0a20190806 in c:\\progtools\\anaconda3\\lib\\site-packages (from tensorflow-gpu==2.0.0-rc0) (1.15.0a20190806)\nRequirement already satisfied: gast>=0.2.0 in c:\\progtools\\anaconda3\\lib\\site-packages (from tensorflow-gpu==2.0.0-rc0) (0.2.2)\nRequirement already satisfied: wheel>=0.26 in c:\\progtools\\anaconda3\\lib\\site-packages (from tensorflow-gpu==2.0.0-rc0) (0.33.4)\nRequirement already satisfied: setuptools in c:\\progtools\\anaconda3\\lib\\site-packages (from protobuf>=3.6.1->tensorflow-gpu==2.0.0-rc0) (41.0.1)\nRequirement already satisfied: h5py in c:\\progtools\\anaconda3\\lib\\site-packages (from keras-applications>=1.0.8->tensorflow-gpu==2.0.0-rc0) (2.9.0)\nRequirement already satisfied: markdown>=2.6.8 in c:\\progtools\\anaconda3\\lib\\site-packages (from tb-nightly<1.15.0a20190807,>=1.15.0a20190806->tensorflow-gpu==2.0.0-rc0) (3.1.1)\nRequirement already satisfied: werkzeug>=0.11.15 in c:\\progtools\\anaconda3\\lib\\site-packages (from tb-nightly<1.15.0a20190807,>=1.15.0a20190806->tensorflow-gpu==2.0.0-rc0) (0.15.5)\n"
],
"output_type": "stream"
}
],
"source": [
"#pip install tensorflow==2.0.0-rc0\n",
"!pip install tensorflow-gpu==2.0.0-rc0\n",
"#!sh download_dataset.sh#%% md\n",
"\n",
"# Test regression model"
]
},
{
"cell_type": "code",
"execution_count": 4,
"outputs": [],
"source": [
"from house_prices_estimation_example_image import *"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% \n",
"is_executing": false
}
}
},
{
"cell_type": "code",
"execution_count": 5,
"outputs": [
{
"name": "stdout",
"text": [
"Loading ./HousesDataset/Houses Dataset/471_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/332_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/98_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/397_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/491_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/477_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/86_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/369_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/395_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/208_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/241_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/310_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/319_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/292_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/276_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/339_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/331_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/112_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/410_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/460_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/454_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/494_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/501_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/473_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/375_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/186_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/452_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/89_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/176_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/177_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/33_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/392_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/415_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/479_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/418_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/456_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/293_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/414_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/328_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/383_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/373_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/430_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/113_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/455_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/500_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/469_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/301_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/207_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/483_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/358_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/92_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/90_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/399_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/381_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/127_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/215_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/324_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/198_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/232_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/428_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/200_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/498_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/490_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/203_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/303_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/84_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/385_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/445_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/376_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/338_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/240_bathroom.jpg\n",
"Loading ./HousesDataset/Houses Dataset/459_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/382_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/315_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/209_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/348_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/482_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/448_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/259_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/212_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/282_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/142_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/302_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/248_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/182_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/465_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/342_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/233_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/407_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/472_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/147_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/434_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/443_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/234_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/363_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/268_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/457_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/82_bathroom.jpg",
"\nLoading ./HousesDataset/Houses Dataset/440_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/231_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/402_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/306_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/289_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/394_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/442_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/103_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/325_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/396_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/329_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/179_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/270_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/83_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/296_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/129_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/243_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/185_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/100_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/97_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/148_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/408_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/313_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/239_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/422_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/133_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/344_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/109_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/450_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/132_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/196_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/367_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/275_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/466_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/377_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/423_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/320_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/244_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/343_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/192_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/481_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/326_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/178_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/337_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/391_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/441_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/312_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/190_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/333_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/439_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/346_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/386_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/405_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/228_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/201_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/351_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/183_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/409_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/136_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/330_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/204_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/108_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/384_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/451_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/412_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/137_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/416_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/280_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/106_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/389_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/249_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/393_bathroom.jpg",
"\nLoading ./HousesDataset/Houses Dataset/300_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/453_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/96_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/387_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/436_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/193_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/128_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/189_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/361_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/401_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/495_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/245_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/350_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/502_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/489_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/184_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/266_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/278_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/390_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/114_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/105_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/110_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/287_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/403_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/195_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/88_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/237_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/432_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/340_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/496_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/446_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/364_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/126_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/345_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/288_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/91_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/475_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/104_bathroom.jpg",
"\nLoading ./HousesDataset/Houses Dataset/334_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/431_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/141_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/485_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/417_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/388_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/360_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/424_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/273_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/194_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/210_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/420_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/398_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/476_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/311_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/290_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/355_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/230_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/294_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/493_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/199_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/211_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/503_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/134_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/188_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/499_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/87_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/309_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/146_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/191_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/298_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/464_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/480_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/467_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/197_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/433_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/362_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/40_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/486_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/250_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/437_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/213_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/285_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/426_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/335_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/304_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/444_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/214_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/131_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/404_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/425_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/94_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/318_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/246_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/317_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/307_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/235_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/435_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/291_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/102_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/281_bathroom.jpg",
"\nLoading ./HousesDataset/Houses Dataset/419_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/468_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/284_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/347_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/353_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/180_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/438_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/135_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/174_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/368_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/413_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/299_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/366_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/149_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/140_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/365_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/202_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/181_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/461_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/379_bathroom.jpg\nLoading ./HousesDataset/Houses Dataset/471_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/332_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/98_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/397_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/491_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/477_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/86_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/369_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/395_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/208_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/241_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/310_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/319_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/292_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/276_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/339_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/331_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/112_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/410_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/460_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/454_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/494_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/501_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/473_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/375_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/186_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/452_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/89_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/176_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/177_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/33_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/392_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/415_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/479_bedroom.jpg",
"\nLoading ./HousesDataset/Houses Dataset/418_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/456_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/293_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/414_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/328_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/383_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/373_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/430_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/113_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/455_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/500_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/469_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/301_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/207_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/483_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/358_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/92_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/90_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/399_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/381_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/127_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/215_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/324_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/198_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/232_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/428_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/200_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/498_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/490_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/203_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/303_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/84_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/385_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/445_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/376_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/338_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/240_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/459_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/382_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/315_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/209_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/348_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/482_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/448_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/259_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/212_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/282_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/142_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/302_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/248_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/182_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/465_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/342_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/233_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/407_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/472_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/147_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/434_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/443_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/234_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/363_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/268_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/457_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/82_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/440_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/231_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/402_bedroom.jpg\n",
"Loading ./HousesDataset/Houses Dataset/306_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/289_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/394_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/442_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/103_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/325_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/396_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/329_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/179_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/270_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/83_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/296_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/129_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/243_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/185_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/100_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/97_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/148_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/408_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/313_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/239_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/422_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/133_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/344_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/109_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/450_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/132_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/196_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/367_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/275_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/466_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/377_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/423_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/320_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/244_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/343_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/192_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/481_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/326_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/178_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/337_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/391_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/441_bedroom.jpg",
"\nLoading ./HousesDataset/Houses Dataset/312_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/190_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/333_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/439_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/346_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/386_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/405_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/228_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/201_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/351_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/183_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/409_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/136_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/330_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/204_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/108_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/384_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/451_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/412_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/137_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/416_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/280_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/106_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/389_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/249_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/393_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/300_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/453_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/96_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/387_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/436_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/193_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/128_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/189_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/361_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/401_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/495_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/245_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/350_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/502_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/489_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/184_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/266_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/278_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/390_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/114_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/105_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/110_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/287_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/403_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/195_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/88_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/237_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/432_bedroom.jpg",
"\nLoading ./HousesDataset/Houses Dataset/340_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/496_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/446_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/364_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/126_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/345_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/288_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/91_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/475_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/104_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/334_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/431_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/141_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/485_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/417_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/388_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/360_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/424_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/273_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/194_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/210_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/420_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/398_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/476_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/311_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/290_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/355_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/230_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/294_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/493_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/199_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/211_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/503_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/134_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/188_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/499_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/87_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/309_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/146_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/191_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/298_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/464_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/480_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/467_bedroom.jpg\n",
"Loading ./HousesDataset/Houses Dataset/197_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/433_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/362_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/40_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/486_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/250_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/437_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/213_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/285_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/426_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/335_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/304_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/444_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/214_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/131_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/404_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/425_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/94_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/318_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/246_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/317_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/307_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/235_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/435_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/291_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/102_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/281_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/419_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/468_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/284_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/347_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/353_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/180_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/438_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/135_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/174_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/368_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/413_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/299_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/366_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/149_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/140_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/365_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/202_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/181_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/461_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/379_bedroom.jpg\nLoading ./HousesDataset/Houses Dataset/471_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/332_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/98_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/397_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/491_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/477_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/86_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/369_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/395_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/208_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/241_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/310_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/319_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/292_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/276_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/339_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/331_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/112_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/410_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/460_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/454_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/494_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/501_kitchen.jpg\n",
"Loading ./HousesDataset/Houses Dataset/473_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/375_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/186_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/452_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/89_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/176_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/177_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/33_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/392_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/415_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/479_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/418_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/456_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/293_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/414_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/328_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/383_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/373_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/430_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/113_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/455_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/500_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/469_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/301_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/207_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/483_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/358_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/92_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/90_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/399_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/381_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/127_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/215_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/324_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/198_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/232_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/428_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/200_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/498_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/490_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/203_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/303_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/84_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/385_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/445_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/376_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/338_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/240_kitchen.jpg",
"\nLoading ./HousesDataset/Houses Dataset/459_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/382_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/315_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/209_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/348_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/482_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/448_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/259_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/212_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/282_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/142_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/302_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/248_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/182_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/465_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/342_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/233_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/407_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/472_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/147_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/434_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/443_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/234_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/363_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/268_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/457_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/82_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/440_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/231_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/402_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/306_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/289_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/394_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/442_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/103_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/325_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/396_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/329_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/179_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/270_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/83_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/296_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/129_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/243_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/185_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/100_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/97_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/148_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/408_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/313_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/239_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/422_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/133_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/344_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/109_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/450_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/132_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/196_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/367_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/275_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/466_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/377_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/423_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/320_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/244_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/343_kitchen.jpg\n",
"Loading ./HousesDataset/Houses Dataset/192_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/481_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/326_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/178_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/337_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/391_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/441_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/312_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/190_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/333_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/439_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/346_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/386_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/405_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/228_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/201_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/351_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/183_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/409_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/136_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/330_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/204_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/108_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/384_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/451_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/412_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/137_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/416_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/280_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/106_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/389_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/249_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/393_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/300_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/453_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/96_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/387_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/436_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/193_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/128_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/189_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/361_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/401_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/495_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/245_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/350_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/502_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/489_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/184_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/266_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/278_kitchen.jpg",
"\nLoading ./HousesDataset/Houses Dataset/390_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/114_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/105_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/110_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/287_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/403_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/195_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/88_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/237_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/432_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/340_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/496_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/446_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/364_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/126_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/345_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/288_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/91_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/475_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/104_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/334_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/431_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/141_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/485_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/417_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/388_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/360_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/424_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/273_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/194_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/210_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/420_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/398_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/476_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/311_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/290_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/355_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/230_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/294_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/493_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/199_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/211_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/503_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/134_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/188_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/499_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/87_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/309_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/146_kitchen.jpg",
"\nLoading ./HousesDataset/Houses Dataset/191_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/298_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/464_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/480_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/467_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/197_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/433_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/362_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/40_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/486_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/250_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/437_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/213_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/285_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/426_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/335_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/304_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/444_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/214_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/131_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/404_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/425_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/94_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/318_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/246_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/317_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/307_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/235_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/435_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/291_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/102_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/281_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/419_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/468_kitchen.jpg\nLoading ./HousesDataset/Houses Dataset/284_kitchen.jpg\n",
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],
"output_type": "stream"
}
],
"source": [
"(trainX_data,trainX_img, trainY, testX_data,testX_img,testY), normalizer = load_house_dataset_data(test_size=0.2,random_state=666,type=DatasetType.Both)\n",
"trainX = trainX_img['bathroom_img']\n",
"testX = testX_img['bathroom_img']\n",
"input_shape = trainX.shape[1]\n",
"final_model_weight = 'regression_model_image_from_scratch.h5'\n",
"weights = ''\n"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n",
"is_executing": false
}
}
},
{
"cell_type": "code",
"execution_count": 6,
"outputs": [
{
"name": "stderr",
"text": [
"WARNING: Logging before flag parsing goes to stderr.\nW0903 09:21:29.480199 6148 deprecation.py:323] From C:\\progtools\\anaconda3\\lib\\site-packages\\tensorflow_core\\python\\ops\\math_grad.py:1424: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\nInstructions for updating:\nUse tf.where in 2.0, which has the same broadcast rule as np.where\n"
],
"output_type": "stream"
}
],
"source": [
"file_weight_cifar100 = 'pretrained_cifar100.h5'\n",
"\n",
"try:\n",
" model = load_model(file_weight_cifar100)\n",
"except:\n",
" model = train_cifar100()\n",
" model.save(file_weight_cifar100)\n",
"weights = file_weight_cifar100"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n",
"is_executing": false
}
}
},
{
"cell_type": "code",
"execution_count": 7,
"outputs": [
{
"name": "stdout",
"text": [
"Model: \"model\"\n_________________________________________________________________\nLayer (type) Output Shape Param # \n=================================================================\ninput_1 (InputLayer) [(None, 32, 32, 3)] 0 \n_________________________________________________________________\nconv_0 (Conv2D) (None, 32, 32, 32) 896 \n_________________________________________________________________\nactivation (Activation) (None, 32, 32, 32) 0 \n_________________________________________________________________\nmax_pooling2d (MaxPooling2D) (None, 16, 16, 32) 0 \n_________________________________________________________________\nconv_1 (Conv2D) (None, 16, 16, 32) 9248 \n_________________________________________________________________\nactivation_1 (Activation) (None, 16, 16, 32) 0 \n_________________________________________________________________\nmax_pooling2d_1 (MaxPooling2 (None, 8, 8, 32) 0 \n_________________________________________________________________\nconv_2 (Conv2D) (None, 8, 8, 32) 9248 \n_________________________________________________________________\nactivation_2 (Activation) (None, 8, 8, 32) 0 \n_________________________________________________________________\nmax_pooling2d_2 (MaxPooling2 (None, 4, 4, 32) 0 \n_________________________________________________________________\nflatten (Flatten) (None, 512) 0 \n_________________________________________________________________\npre_last_dense_reg (Dense) (None, 16) 8208 \n_________________________________________________________________\nlast_dense_reg (Dense) (None, 1) 17 \n=================================================================\nTotal params: 27,617\nTrainable params: 8,225\nNon-trainable params: 19,392\n_________________________________________________________________\nTrain on 289 samples, validate on 73 samples\nEpoch 1/500\n",
"\r 32/289 [==>...........................] - ETA: 16s"
],
"output_type": "stream"
},
{
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mUnknownError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-7-a04fd7faaf41>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[0mmodel\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcompile\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mloss\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'mean_squared_error'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mmetrics\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'mean_absolute_percentage_error'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'mean_absolute_error'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'mean_squared_error'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mopt\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0mmodel\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msummary\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[1;32m----> 6\u001b[1;33m \u001b[0mmodel\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtrain_model\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtrainX\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtrainY\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtestX\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtestY\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mmodel\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mshow_plot\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mepochs\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m500\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mbatch_size\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m32\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 7\u001b[0m \u001b[0mevaluate_regression_model\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mtestX\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mtestY\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mnormalizer\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mshow_plot\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 8\u001b[0m \u001b[0mmodel\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msave\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfile_weight_finetune\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mC:\\datos\\Formacion\\IMPARTIDOS\\introduccion_deep\\pilulak_code\\train_and_evaluation.py\u001b[0m in \u001b[0;36mtrain_model\u001b[1;34m(trainX, trainY, testX, testY, model, epochs, batch_size, show_plot)\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mtrain_model\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtrainX\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtrainY\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtestX\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtestY\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mepochs\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m200\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mbatch_size\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m16\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mshow_plot\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\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[0;32m 14\u001b[0m history = model.fit(trainX, trainY, validation_data=(testX, testY),\n\u001b[1;32m---> 15\u001b[1;33m epochs=epochs, batch_size=batch_size)\n\u001b[0m\u001b[0;32m 16\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 17\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mshow_plot\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mC:\\progtools\\anaconda3\\lib\\site-packages\\tensorflow_core\\python\\keras\\engine\\training.py\u001b[0m in \u001b[0;36mfit\u001b[1;34m(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, max_queue_size, workers, use_multiprocessing, **kwargs)\u001b[0m\n\u001b[0;32m 732\u001b[0m \u001b[0mmax_queue_size\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmax_queue_size\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 733\u001b[0m \u001b[0mworkers\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mworkers\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 734\u001b[1;33m use_multiprocessing=use_multiprocessing)\n\u001b[0m\u001b[0;32m 735\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 736\u001b[0m def evaluate(self,\n",
"\u001b[1;32mC:\\progtools\\anaconda3\\lib\\site-packages\\tensorflow_core\\python\\keras\\engine\\training_v2.py\u001b[0m in \u001b[0;36mfit\u001b[1;34m(self, model, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, **kwargs)\u001b[0m\n\u001b[0;32m 322\u001b[0m \u001b[0mmode\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mModeKeys\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mTRAIN\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 323\u001b[0m \u001b[0mtraining_context\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtraining_context\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 324\u001b[1;33m total_epochs=epochs)\n\u001b[0m\u001b[0;32m 325\u001b[0m \u001b[0mcbks\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmake_logs\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mepoch_logs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtraining_result\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mModeKeys\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mTRAIN\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 326\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mC:\\progtools\\anaconda3\\lib\\site-packages\\tensorflow_core\\python\\keras\\engine\\training_v2.py\u001b[0m in \u001b[0;36mrun_one_epoch\u001b[1;34m(model, iterator, execution_function, dataset_size, batch_size, strategy, steps_per_epoch, num_samples, mode, training_context, total_epochs)\u001b[0m\n\u001b[0;32m 121\u001b[0m step=step, mode=mode, size=current_batch_size) as batch_logs:\n\u001b[0;32m 122\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 123\u001b[1;33m \u001b[0mbatch_outs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mexecution_function\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0miterator\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 124\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mStopIteration\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mOutOfRangeError\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[0;32m 125\u001b[0m \u001b[1;31m# TODO(kaftan): File bug about tf function and errors.OutOfRangeError?\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mC:\\progtools\\anaconda3\\lib\\site-packages\\tensorflow_core\\python\\keras\\engine\\training_v2_utils.py\u001b[0m in \u001b[0;36mexecution_function\u001b[1;34m(input_fn)\u001b[0m\n\u001b[0;32m 84\u001b[0m \u001b[1;31m# `numpy` translates Tensors to values in Eager mode.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 85\u001b[0m return nest.map_structure(_non_none_constant_value,\n\u001b[1;32m---> 86\u001b[1;33m distributed_function(input_fn))\n\u001b[0m\u001b[0;32m 87\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 88\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mexecution_function\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mC:\\progtools\\anaconda3\\lib\\site-packages\\tensorflow_core\\python\\eager\\def_function.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, *args, **kwds)\u001b[0m\n\u001b[0;32m 437\u001b[0m \u001b[1;31m# Lifting succeeded, so variables are initialized and we can run the\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 438\u001b[0m \u001b[1;31m# stateless function.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 439\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_stateless_fn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\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 440\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 441\u001b[0m \u001b[0mcanon_args\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcanon_kwds\u001b[0m \u001b[1;33m=\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m\\\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mC:\\progtools\\anaconda3\\lib\\site-packages\\tensorflow_core\\python\\eager\\function.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 1820\u001b[0m \u001b[1;34m\"\"\"Calls a graph function specialized to the inputs.\"\"\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1821\u001b[0m \u001b[0mgraph_function\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_maybe_define_function\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1822\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mgraph_function\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_filtered_call\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;31m# pylint: disable=protected-access\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1823\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1824\u001b[0m \u001b[1;33m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mC:\\progtools\\anaconda3\\lib\\site-packages\\tensorflow_core\\python\\eager\\function.py\u001b[0m in \u001b[0;36m_filtered_call\u001b[1;34m(self, args, kwargs)\u001b[0m\n\u001b[0;32m 1139\u001b[0m if isinstance(t, (ops.Tensor,\n\u001b[0;32m 1140\u001b[0m resource_variable_ops.BaseResourceVariable))),\n\u001b[1;32m-> 1141\u001b[1;33m self.captured_inputs)\n\u001b[0m\u001b[0;32m 1142\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1143\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_call_flat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcaptured_inputs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcancellation_manager\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\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[1;32mC:\\progtools\\anaconda3\\lib\\site-packages\\tensorflow_core\\python\\eager\\function.py\u001b[0m in \u001b[0;36m_call_flat\u001b[1;34m(self, args, captured_inputs, cancellation_manager)\u001b[0m\n\u001b[0;32m 1222\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mexecuting_eagerly\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1223\u001b[0m flat_outputs = forward_function.call(\n\u001b[1;32m-> 1224\u001b[1;33m ctx, args, cancellation_manager=cancellation_manager)\n\u001b[0m\u001b[0;32m 1225\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1226\u001b[0m \u001b[0mgradient_name\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_delayed_rewrite_functions\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mregister\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[1;32mC:\\progtools\\anaconda3\\lib\\site-packages\\tensorflow_core\\python\\eager\\function.py\u001b[0m in \u001b[0;36mcall\u001b[1;34m(self, ctx, args, cancellation_manager)\u001b[0m\n\u001b[0;32m 509\u001b[0m \u001b[0minputs\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 510\u001b[0m \u001b[0mattrs\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"executor_type\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mexecutor_type\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"config_proto\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mconfig\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[1;32m--> 511\u001b[1;33m ctx=ctx)\n\u001b[0m\u001b[0;32m 512\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 513\u001b[0m outputs = execute.execute_with_cancellation(\n",
"\u001b[1;32mC:\\progtools\\anaconda3\\lib\\site-packages\\tensorflow_core\\python\\eager\\execute.py\u001b[0m in \u001b[0;36mquick_execute\u001b[1;34m(op_name, num_outputs, inputs, attrs, ctx, name)\u001b[0m\n\u001b[0;32m 65\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 66\u001b[0m \u001b[0mmessage\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmessage\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 67\u001b[1;33m \u001b[0msix\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mraise_from\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcore\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_status_to_exception\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcode\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmessage\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mNone\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 68\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mTypeError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 69\u001b[0m keras_symbolic_tensors = [\n",
"\u001b[1;32mC:\\progtools\\anaconda3\\lib\\site-packages\\six.py\u001b[0m in \u001b[0;36mraise_from\u001b[1;34m(value, from_value)\u001b[0m\n",
"\u001b[1;31mUnknownError\u001b[0m: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.\n\t [[node model/conv_0/Conv2D (defined at C:\\progtools\\anaconda3\\lib\\site-packages\\tensorflow_core\\python\\framework\\ops.py:1751) ]] [Op:__inference_distributed_function_2199]\n\nFunction call stack:\ndistributed_function\n"
],
"ename": "UnknownError",
"evalue": " Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.\n\t [[node model/conv_0/Conv2D (defined at C:\\progtools\\anaconda3\\lib\\site-packages\\tensorflow_core\\python\\framework\\ops.py:1751) ]] [Op:__inference_distributed_function_2199]\n\nFunction call stack:\ndistributed_function\n",
"output_type": "error"
}
],
"source": [
"file_weight_finetune = 'regression_model_image_finetune.h5'\n",
"model = generate_simple_cnn_regression_model(input_shape,weights=weights,freeze=True)\n",
"opt = Adam(lr=1e-3, decay=1e-3 / 200)\n",
"model.compile(loss='mean_squared_error',metrics=['mean_absolute_percentage_error','mean_absolute_error','mean_squared_error'], optimizer=opt)\n",
"model.summary()\n",
"model = train_model(trainX, trainY, testX, testY,model,show_plot=True,epochs=500,batch_size=32)\n",
"evaluate_regression_model(model,testX,testY,normalizer,show_plot=True)\n",
"model.save(file_weight_finetune)\n",
"weights = file_weight_finetune\n",
"final_model_weight = 'regression_model_image_pretrained.h5'"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n",
"is_executing": false
}
}
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [
"model = generate_simple_cnn_regression_model(input_shape, weights=weights)\n",
"opt = Adam(lr=1e-3, decay=1e-3 / 200)\n",
"model.compile(loss='mean_squared_error',\n",
" metrics=['mean_absolute_percentage_error', 'mean_absolute_error', 'mean_squared_error'],\n",
" optimizer=opt)\n",
"model.summary()\n"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n",
"is_executing": false
}
}
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [
"\n",
"model = train_model(trainX, trainY, testX, testY, model, show_plot=True, epochs=500, batch_size=32)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n",
"is_executing": false
}
}
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [
"evaluate_regression_model(model, testX, testY, normalizer, show_plot=True)\n",
"model.save(final_model_weight)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n",
"is_executing": false
}
}
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n",
"is_executing": false
}
}
}
],
"metadata": {
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.6"
},
"kernelspec": {
"name": "python3",
"language": "python",
"display_name": "Python 3"
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"pycharm": {
"stem_cell": {
"cell_type": "raw",
"source": [],
"metadata": {
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"nbformat": 4,
"nbformat_minor": 0
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