{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "%reload_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import multiprocessing\n",
    "import os\n",
    "from torch import autograd\n",
    "from fastai.transforms import TfmType\n",
    "from fasterai.transforms import *\n",
    "from fastai.conv_learner import *\n",
    "from fasterai.images import *\n",
    "from fasterai.dataset import *\n",
    "from fasterai.visualize import *\n",
    "from fasterai.callbacks import *\n",
    "from fasterai.loss import *\n",
    "from fasterai.modules import *\n",
    "from fasterai.training import *\n",
    "from fasterai.generators import *\n",
    "from fastai.torch_imports import *\n",
    "from pathlib import Path\n",
    "from itertools import repeat\n",
    "import tensorboardX\n",
    "torch.cuda.set_device(0)\n",
    "plt.style.use('dark_background')\n",
    "torch.backends.cudnn.benchmark=True\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "IMAGENET = Path('data/imagenet/ILSVRC/Data/CLS-LOC/train')\n",
    "IMAGENET_SMALL = IMAGENET/'n01440764'\n",
    "gpath = IMAGENET.parent/('defade_rc_gen_256.h5')\n",
    "default_sz=400\n",
    "torch.backends.cudnn.benchmark=True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "netG = Unet34(nf_factor=2).cuda()\n",
    "load_model(netG, gpath)\n",
    "netG = netG.eval()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_tfms = []\n",
    "data_loader = ImageGenDataLoader(sz=256, bs=8, path=IMAGENET_SMALL, random_seed=42, keep_pct=1.0, x_tfms=x_tfms)\n",
    "md = data_loader.get_model_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "vis = ModelImageVisualizer(default_sz=default_sz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "vis.plot_transformed_image(\"test_images/FadedOvermiller.PNG\", netG, md.val_ds, tfms=x_tfms)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "vis.plot_transformed_image(\"test_images/FadedSphynx.PNG\", netG, md.val_ds, tfms=x_tfms, sz=500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "vis.plot_transformed_image(\"test_images/FadedRacket.PNG\", netG, md.val_ds, tfms=x_tfms)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "vis.plot_transformed_image(\"test_images/FadedDutchBabies.PNG\", netG, md.val_ds, tfms=x_tfms, sz=500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "vis.plot_transformed_image(\"test_images/FadedDelores.PNG\", netG, md.val_ds, tfms=x_tfms, sz=500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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