experiments/notebooks/intro_tut_segmentationhandler.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# INTRODUCTION & TUTORIAL TO SEGMENTATION HANDLER"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Component Overview"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Component Overview including Segmentation Handler](../../docs/img/component_overview_incl_seg_handler.png)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Introduction to the \"Segmentation Handler\" Layer\n",
    "\n",
    "The ```SegmentationHandler``` essentially is another component in the ```ExplanationGenerator``` that applies a segmentation algorithm on the image to be explained with the resulting segments being the new object of optimization and thus of the explanation. It is parsed to the ```ExplanationGenerator``` via arguments just as with the other established components (optimizer, gradient method, ...). \n",
    "\n",
    "Internally, each segment is allocated a label with corresponding label image - an image of the original size, consisting only of the allocated partition of the image, the rest being filled with zeros. A new encoded representation of the original image, a weight vector for the label images made up of all ones, is then passed for further processing.\n",
    "\n",
    "During explanation generation, whenever neccessary, a dedicated loss function can call ```BaseSegmentationHandler.generate_img_from_weight_vector()``` to decode the encoded image.\n",
    "\n",
    "Further down the tutorial, you will find a generated result where one can observe how an image could be segmented.\n",
    "\n",
    "**Overview of the implemented segmentation algorithms**:\n",
    "</br>\n",
    "https://tuananhroman.github.io/empaia_max_pydoc/lib/image_segmentation/index.html\n",
    "\n",
    "**Overview of compatible loss functions**:\n",
    "</br>\n",
    "\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## EXPLANATION GENERATION"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Gitlab-Link to the Guided-Soft-Attention Repo: https://gitlab.dai-labor.de/empaia/guided-soft-attention/-/tree/master"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1. **Import required libraries**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-02-09 13:50:57.082340: I tensorflow/core/util/util.cc:169] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "\n",
    "sys.path.insert(1, \"/home/tuananhroman/dai/guided-soft-attention\")\n",
    "\n",
    "import torch\n",
    "from PIL import Image\n",
    "from IPython.display import display\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "import maxi\n",
    "from src.models.vit_gusa import ViTGuSA\n",
    "from utils.loader import Loader\n",
    "from utils.transform import transform\n",
    "from src.visualization.visualize_attention import visualize_attention\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2. **Set path to the model weights and cell images**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "path_to_model = \"/home/tuananhroman/dai/guided-soft-attention/weights/model_vit_hd1_2.pth\"\n",
    "path_to_img = \"/home/tuananhroman/dai/guided-soft-attention/data/image/image_3.jpg\"\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3. **Load model and image**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# dev = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
    "dev = \"cpu\"\n",
    "device = torch.device(dev)\n",
    "\n",
    "# LOAD MODEL\n",
    "model = ViTGuSA(4, dev, patch_size=8, freeze_backbone=True, head_depth=1)\n",
    "model.load_state_dict(\n",
    "    torch.load(\n",
    "        path_to_model,\n",
    "        map_location=device,\n",
    "    )\n",
    ")\n",
    "model.to(device)\n",
    "\n",
    "# LOAD IMAGE\n",
    "img = Image.open(path_to_img)\n",
    "# data specific preprocessing\n",
    "img_transformed = transform(\n",
    "    img, img_size=(img.size[0] // 4, img.size[1] // 4), patch_size=8\n",
    ").unsqueeze(0)\n",
    "img_transformed = img_transformed.to(device)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4. **Chose desired component classes and configuration for the loss, optimizer and gradient**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# chose desired component classes for the loss, optimizer and gradient\n",
    "loss_class = maxi.loss.SuperpixelLimeLoss\n",
    "optimizer_class = maxi.optimizer.AdaExpGradOptimizer\n",
    "gradient_class = maxi.gradient.LimeGradient\n",
    "\n",
    "# specify the configuration for the components\n",
    "loss_kwargs = {\"n_samples\": 100}\n",
    "optimizer_kwargs = {\n",
    "    \"l1\": 0.00000001,\n",
    "    \"l2\": 0.00000001,\n",
    "    \"eta\": 0.5,\n",
    "    \"channels_first\": True,\n",
    "}\n",
    "gradient_kwargs = {}\n",
    "\n",
    "# set segmentation algorithm with its parameters\n",
    "sp_algorithm = maxi.image_segmentation.WatershedHandler\n",
    "sp_kwargs = {\n",
    "    \"ms_spatial_radius\": 16,\n",
    "    \"ms_color_radius\": 36,\n",
    "    \"max_min_dist\": 25\n",
    "}"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 5. **Instantiate the \"ExplanationGenerator\" with our settings**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cem = maxi.ExplanationGenerator(\n",
    "    loss=loss_class,\n",
    "    optimizer=optimizer_class,\n",
    "    gradient=gradient_class,\n",
    "    loss_kwargs=loss_kwargs,\n",
    "    sg_algorithm=sp_algorithm,\n",
    "    optimizer_kwargs=optimizer_kwargs,\n",
    "    gradient_kwargs=gradient_kwargs,\n",
    "    sg_kwargs=sp_kwargs,\n",
    "    num_iter=2000,\n",
    "    save_freq=1000,\n",
    "    verbose=True,\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 6. **Define inference pre- and post-processing procedures**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# cast image to torch.float32 and to the correct device before inference\n",
    "def preprocess(data):\n",
    "    if type(data) is not torch.Tensor or data.dtype != torch.float32:\n",
    "        return torch.tensor(data, dtype=torch.float32, device=device)\n",
    "    if data.device != device:\n",
    "        data = data.to(device)\n",
    "    return data\n",
    "\n",
    "# unsqueeze prediction to match the batch dimension\n",
    "def un_squeeze(data):\n",
    "    return data[0].unsqueeze(0) if data[0].ndim < 2 else data[0]\n",
    "\n",
    "# wrap the model with the preprocess and un_squeeze functions\n",
    "_model = maxi.inference.InferenceWrapper(\n",
    "    model, quantizer=un_squeeze, preprocess=preprocess\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 7. **Start the explanation procedure and retrieve the results**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/tuananhroman/dai/MAXi-XAI-lib/src/maxi/lib/image_segmentation/watershed_handler.py:91: FutureWarning: indices argument is deprecated and will be removed in version 0.20. To avoid this warning, please do not use the indices argument. Please see peak_local_max documentation for more details.\n",
      "  localMax = peak_local_max(\n",
      "/home/tuananhroman/.cache/pypoetry/virtualenvs/maxi-ZjBXp4XP-py3.8/lib/python3.8/site-packages/skimage/morphology/_deprecated.py:5: skimage_deprecation: Function ``watershed`` is deprecated and will be removed in version 0.19. Use ``skimage.segmentation.watershed`` instead.\n",
      "  def watershed(image, markers=None, connectivity=1, offset=None, mask=None,\n",
      "/home/tuananhroman/.cache/pypoetry/virtualenvs/maxi-ZjBXp4XP-py3.8/lib/python3.8/site-packages/torch/nn/functional.py:3631: UserWarning: Default upsampling behavior when mode=bicubic is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.\n",
      "  warnings.warn(\n",
      "/home/tuananhroman/.cache/pypoetry/virtualenvs/maxi-ZjBXp4XP-py3.8/lib/python3.8/site-packages/torch/nn/functional.py:3679: UserWarning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and now uses scale_factor directly, instead of relying on the computed output size. If you wish to restore the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. \n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO] 14 unique segments found!\n",
      "iteration:      1 || overall_loss:   640.3727 | attack_loss: 640.3727 | l1: 0.000000 | l2: 0.000000\n",
      "iteration:      2 || overall_loss:   551.9146 | attack_loss: 550.7912 | l1: 1.123453 | l2: 0.000000\n",
      "iteration:      3 || overall_loss:   485.2656 | attack_loss: 483.2435 | l1: 2.022131 | l2: 0.000000\n",
      "iteration:      4 || overall_loss:   412.7031 | attack_loss: 409.6333 | l1: 3.069825 | l2: 0.000000\n",
      "iteration:      5 || overall_loss:   348.4039 | attack_loss: 344.3264 | l1: 4.077499 | l2: 0.000000\n",
      "iteration:      6 || overall_loss:   301.8762 | attack_loss: 297.0049 | l1: 4.871244 | l2: 0.000000\n",
      "iteration:      7 || overall_loss:   269.3298 | attack_loss: 263.8627 | l1: 5.467115 | l2: 0.000000\n",
      "iteration:      8 || overall_loss:   245.9850 | attack_loss: 240.0659 | l1: 5.919163 | l2: 0.000000\n",
      "iteration:      9 || overall_loss:   228.6737 | attack_loss: 222.4038 | l1: 6.269861 | l2: 0.000000\n",
      "iteration:     10 || overall_loss:   215.4039 | attack_loss: 208.8550 | l1: 6.548860 | l2: 0.000000\n",
      "iteration:     11 || overall_loss:   205.0126 | attack_loss: 198.2385 | l1: 6.774105 | l2: 0.000000\n",
      "iteration:     12 || overall_loss:   196.8194 | attack_loss: 189.8633 | l1: 6.956110 | l2: 0.000000\n",
      "iteration:     13 || overall_loss:   190.2118 | attack_loss: 183.1058 | l1: 7.105967 | l2: 0.000000\n",
      "iteration:     14 || overall_loss:   184.7340 | attack_loss: 177.5015 | l1: 7.232446 | l2: 0.000000\n",
      "iteration:     15 || overall_loss:   180.1019 | attack_loss: 172.7608 | l1: 7.341099 | l2: 0.000000\n",
      "iteration:     16 || overall_loss:   176.1258 | attack_loss: 168.6901 | l1: 7.435688 | l2: 0.000000\n",
      "iteration:     17 || overall_loss:   172.6721 | attack_loss: 165.1532 | l1: 7.518906 | l2: 0.000000\n",
      "iteration:     18 || overall_loss:   169.6518 | attack_loss: 162.0593 | l1: 7.592548 | l2: 0.000000\n",
      "iteration:     19 || overall_loss:   166.9968 | attack_loss: 159.3388 | l1: 7.658002 | l2: 0.000000\n",
      "iteration:     20 || overall_loss:   164.6450 | attack_loss: 156.9284 | l1: 7.716572 | l2: 0.000000\n",
      "iteration:     21 || overall_loss:   162.5483 | attack_loss: 154.7790 | l1: 7.769281 | l2: 0.000000\n",
      "iteration:     22 || overall_loss:   160.6686 | attack_loss: 152.8517 | l1: 7.816946 | l2: 0.000000\n",
      "iteration:     23 || overall_loss:   158.9753 | attack_loss: 151.1151 | l1: 7.860228 | l2: 0.000000\n",
      "iteration:     24 || overall_loss:   157.4435 | attack_loss: 149.5438 | l1: 7.899674 | l2: 0.000000\n",
      "iteration:     25 || overall_loss:   156.0526 | attack_loss: 148.1168 | l1: 7.935740 | l2: 0.000000\n",
      "iteration:     26 || overall_loss:   154.7882 | attack_loss: 146.8194 | l1: 7.968743 | l2: 0.000000\n",
      "iteration:     27 || overall_loss:   153.6365 | attack_loss: 145.6375 | l1: 7.998995 | l2: 0.000000\n",
      "iteration:     28 || overall_loss:   152.5841 | attack_loss: 144.5573 | l1: 8.026805 | l2: 0.000000\n",
      "iteration:     29 || overall_loss:   151.6199 | attack_loss: 143.5675 | l1: 8.052429 | l2: 0.000000\n",
      "iteration:     30 || overall_loss:   150.7501 | attack_loss: 142.6746 | l1: 8.075557 | l2: 0.000000\n",
      "iteration:     31 || overall_loss:   149.9612 | attack_loss: 141.8646 | l1: 8.096534 | l2: 0.000000\n",
      "iteration:     32 || overall_loss:   149.2419 | attack_loss: 141.1262 | l1: 8.115646 | l2: 0.000000\n",
      "iteration:     33 || overall_loss:   148.5835 | attack_loss: 140.4504 | l1: 8.133124 | l2: 0.000000\n",
      "iteration:     34 || overall_loss:   147.9962 | attack_loss: 139.8296 | l1: 8.166542 | l2: 0.000000\n",
      "iteration:     35 || overall_loss:   147.4679 | attack_loss: 139.2650 | l1: 8.202907 | l2: 0.000000\n",
      "iteration:     36 || overall_loss:   146.9929 | attack_loss: 138.7542 | l1: 8.238705 | l2: 0.000000\n",
      "iteration:     37 || overall_loss:   146.5637 | attack_loss: 138.2896 | l1: 8.274100 | l2: 0.000000\n",
      "iteration:     38 || overall_loss:   146.1742 | attack_loss: 137.8650 | l1: 8.309224 | l2: 0.000000\n",
      "iteration:     39 || overall_loss:   145.8191 | attack_loss: 137.4749 | l1: 8.344176 | l2: 0.000000\n",
      "iteration:     40 || overall_loss:   145.4938 | attack_loss: 137.1148 | l1: 8.379030 | l2: 0.000000\n",
      "iteration:     41 || overall_loss:   145.1945 | attack_loss: 136.7807 | l1: 8.413839 | l2: 0.000000\n",
      "iteration:     42 || overall_loss:   144.9178 | attack_loss: 136.4691 | l1: 8.448643 | l2: 0.000000\n",
      "iteration:     43 || overall_loss:   144.6607 | attack_loss: 136.1772 | l1: 8.483455 | l2: 0.000000\n",
      "iteration:     44 || overall_loss:   144.4207 | attack_loss: 135.9024 | l1: 8.518289 | l2: 0.000000\n",
      "iteration:     45 || overall_loss:   144.1955 | attack_loss: 135.6424 | l1: 8.553140 | l2: 0.000000\n",
      "iteration:     46 || overall_loss:   143.9833 | attack_loss: 135.3953 | l1: 8.587996 | l2: 0.000000\n",
      "iteration:     47 || overall_loss:   143.7824 | attack_loss: 135.1596 | l1: 8.622844 | l2: 0.000000\n",
      "iteration:     48 || overall_loss:   143.5943 | attack_loss: 134.9367 | l1: 8.657578 | l2: 0.000000\n",
      "iteration:     49 || overall_loss:   143.4235 | attack_loss: 134.7315 | l1: 8.692008 | l2: 0.000000\n",
      "iteration:     50 || overall_loss:   143.2664 | attack_loss: 134.5403 | l1: 8.726140 | l2: 0.000000\n",
      "iteration:     51 || overall_loss:   143.1203 | attack_loss: 134.3603 | l1: 8.759970 | l2: 0.000000\n",
      "iteration:     52 || overall_loss:   142.9829 | attack_loss: 134.1894 | l1: 8.793489 | l2: 0.000000\n",
      "iteration:     53 || overall_loss:   142.8402 | attack_loss: 134.0139 | l1: 8.826358 | l2: 0.000000\n",
      "iteration:     54 || overall_loss:   142.6882 | attack_loss: 133.8299 | l1: 8.858387 | l2: 0.000000\n",
      "iteration:     55 || overall_loss:   142.5301 | attack_loss: 133.6405 | l1: 8.889556 | l2: 0.000000\n",
      "iteration:     56 || overall_loss:   142.3681 | attack_loss: 133.4483 | l1: 8.919848 | l2: 0.000000\n",
      "iteration:     57 || overall_loss:   142.2044 | attack_loss: 133.2551 | l1: 8.949267 | l2: 0.000000\n",
      "iteration:     58 || overall_loss:   142.0404 | attack_loss: 133.0626 | l1: 8.977813 | l2: 0.000000\n",
      "iteration:     59 || overall_loss:   141.8773 | attack_loss: 132.8718 | l1: 9.005503 | l2: 0.000000\n",
      "iteration:     60 || overall_loss:   141.7160 | attack_loss: 132.6836 | l1: 9.032351 | l2: 0.000000\n",
      "iteration:     61 || overall_loss:   141.5571 | attack_loss: 132.4987 | l1: 9.058377 | l2: 0.000000\n",
      "iteration:     62 || overall_loss:   141.4013 | attack_loss: 132.3177 | l1: 9.083608 | l2: 0.000000\n",
      "iteration:     63 || overall_loss:   141.2487 | attack_loss: 132.1407 | l1: 9.108063 | l2: 0.000000\n",
      "iteration:     64 || overall_loss:   141.0998 | attack_loss: 131.9680 | l1: 9.131771 | l2: 0.000000\n",
      "iteration:     65 || overall_loss:   140.9546 | attack_loss: 131.7998 | l1: 9.154758 | l2: 0.000000\n",
      "iteration:     66 || overall_loss:   140.8131 | attack_loss: 131.6361 | l1: 9.177049 | l2: 0.000000\n",
      "iteration:     67 || overall_loss:   140.6755 | attack_loss: 131.4769 | l1: 9.198668 | l2: 0.000000\n",
      "iteration:     68 || overall_loss:   140.5418 | attack_loss: 131.3221 | l1: 9.219643 | l2: 0.000000\n",
      "iteration:     69 || overall_loss:   140.4118 | attack_loss: 131.1718 | l1: 9.239997 | l2: 0.000000\n",
      "iteration:     70 || overall_loss:   140.2855 | attack_loss: 131.0257 | l1: 9.259755 | l2: 0.000000\n",
      "iteration:     71 || overall_loss:   140.1629 | attack_loss: 130.8839 | l1: 9.278940 | l2: 0.000000\n",
      "iteration:     72 || overall_loss:   140.0438 | attack_loss: 130.7462 | l1: 9.297574 | l2: 0.000000\n",
      "iteration:     73 || overall_loss:   139.9282 | attack_loss: 130.6125 | l1: 9.315679 | l2: 0.000000\n",
      "iteration:     74 || overall_loss:   139.8160 | attack_loss: 130.4827 | l1: 9.333274 | l2: 0.000000\n",
      "iteration:     75 || overall_loss:   139.7070 | attack_loss: 130.3566 | l1: 9.350380 | l2: 0.000000\n",
      "iteration:     76 || overall_loss:   139.6011 | attack_loss: 130.2341 | l1: 9.367017 | l2: 0.000000\n",
      "iteration:     77 || overall_loss:   139.4983 | attack_loss: 130.1151 | l1: 9.383200 | l2: 0.000000\n",
      "iteration:     78 || overall_loss:   139.3984 | attack_loss: 129.9995 | l1: 9.398949 | l2: 0.000000\n",
      "iteration:     79 || overall_loss:   139.3014 | attack_loss: 129.8871 | l1: 9.414278 | l2: 0.000000\n",
      "iteration:     80 || overall_loss:   139.2070 | attack_loss: 129.7778 | l1: 9.429205 | l2: 0.000000\n",
      "iteration:     81 || overall_loss:   139.1153 | attack_loss: 129.6716 | l1: 9.443743 | l2: 0.000000\n",
      "iteration:     82 || overall_loss:   139.0262 | attack_loss: 129.5683 | l1: 9.457909 | l2: 0.000000\n",
      "iteration:     83 || overall_loss:   138.9395 | attack_loss: 129.4677 | l1: 9.471711 | l2: 0.000000\n",
      "iteration:     84 || overall_loss:   138.8568 | attack_loss: 129.3699 | l1: 9.486879 | l2: 0.000000\n",
      "iteration:     85 || overall_loss:   138.7776 | attack_loss: 129.2747 | l1: 9.502839 | l2: 0.000000\n",
      "iteration:     86 || overall_loss:   138.7005 | attack_loss: 129.1821 | l1: 9.518469 | l2: 0.000000\n",
      "iteration:     87 || overall_loss:   138.6256 | attack_loss: 129.0918 | l1: 9.533781 | l2: 0.000000\n",
      "iteration:     88 || overall_loss:   138.5527 | attack_loss: 129.0039 | l1: 9.548785 | l2: 0.000000\n",
      "iteration:     89 || overall_loss:   138.4817 | attack_loss: 128.9182 | l1: 9.563492 | l2: 0.000000\n",
      "iteration:     90 || overall_loss:   138.4126 | attack_loss: 128.8347 | l1: 9.577910 | l2: 0.000000\n",
      "iteration:     91 || overall_loss:   138.3454 | attack_loss: 128.7533 | l1: 9.592052 | l2: 0.000000\n",
      "iteration:     92 || overall_loss:   138.2799 | attack_loss: 128.6740 | l1: 9.605922 | l2: 0.000000\n",
      "iteration:     93 || overall_loss:   138.2161 | attack_loss: 128.5966 | l1: 9.619532 | l2: 0.000000\n",
      "iteration:     94 || overall_loss:   138.1540 | attack_loss: 128.5211 | l1: 9.632890 | l2: 0.000000\n",
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      "iteration:   1980 || overall_loss:   134.2141 | attack_loss: 123.0080 | l1: 11.206105 | l2: 0.000000\n",
      "iteration:   1981 || overall_loss:   134.2140 | attack_loss: 123.0079 | l1: 11.206157 | l2: 0.000000\n",
      "iteration:   1982 || overall_loss:   134.2140 | attack_loss: 123.0078 | l1: 11.206209 | l2: 0.000000\n",
      "iteration:   1983 || overall_loss:   134.2139 | attack_loss: 123.0077 | l1: 11.206260 | l2: 0.000000\n",
      "iteration:   1984 || overall_loss:   134.2138 | attack_loss: 123.0075 | l1: 11.206311 | l2: 0.000000\n",
      "iteration:   1985 || overall_loss:   134.2138 | attack_loss: 123.0074 | l1: 11.206363 | l2: 0.000000\n",
      "iteration:   1986 || overall_loss:   134.2137 | attack_loss: 123.0073 | l1: 11.206413 | l2: 0.000000\n",
      "iteration:   1987 || overall_loss:   134.2137 | attack_loss: 123.0072 | l1: 11.206466 | l2: 0.000000\n",
      "iteration:   1988 || overall_loss:   134.2136 | attack_loss: 123.0071 | l1: 11.206515 | l2: 0.000000\n",
      "iteration:   1989 || overall_loss:   134.2135 | attack_loss: 123.0070 | l1: 11.206567 | l2: 0.000000\n",
      "iteration:   1990 || overall_loss:   134.2135 | attack_loss: 123.0068 | l1: 11.206619 | l2: 0.000000\n",
      "iteration:   1991 || overall_loss:   134.2134 | attack_loss: 123.0067 | l1: 11.206667 | l2: 0.000000\n",
      "iteration:   1992 || overall_loss:   134.2133 | attack_loss: 123.0066 | l1: 11.206719 | l2: 0.000000\n",
      "iteration:   1993 || overall_loss:   134.2133 | attack_loss: 123.0065 | l1: 11.206770 | l2: 0.000000\n",
      "iteration:   1994 || overall_loss:   134.2132 | attack_loss: 123.0064 | l1: 11.206821 | l2: 0.000000\n",
      "iteration:   1995 || overall_loss:   134.2131 | attack_loss: 123.0063 | l1: 11.206873 | l2: 0.000000\n",
      "iteration:   1996 || overall_loss:   134.2131 | attack_loss: 123.0061 | l1: 11.206923 | l2: 0.000000\n",
      "iteration:   1997 || overall_loss:   134.2130 | attack_loss: 123.0060 | l1: 11.206973 | l2: 0.000000\n",
      "iteration:   1998 || overall_loss:   134.2129 | attack_loss: 123.0059 | l1: 11.207025 | l2: 0.000000\n",
      "iteration:   1999 || overall_loss:   134.2129 | attack_loss: 123.0058 | l1: 11.207074 | l2: 0.000000\n",
      "iteration:   2000 || overall_loss:   134.2128 | attack_loss: 123.0057 | l1: 11.207124 | l2: 0.000000\n",
      "iteration:   2001 || overall_loss:   134.2128 | attack_loss: 123.0056 | l1: 11.207175 | l2: 0.000000\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/tuananhroman/dai/MAXi-XAI-lib/src/maxi/lib/computation_components/optimizer/ada_exp_grad.py:62: ComplexWarning: Casting complex values to real discards the imaginary part\n",
      "  self.y[:] = 1.0 / self.t * self.x + (1 - 1.0 / self.t) * self.y\n"
     ]
    }
   ],
   "source": [
    "results, _ = cem.run(image=img_transformed.cpu().numpy(), inference_call=_model)    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "odict_keys(['1', '1000', '2000'])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results.keys()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# VISUALIZATION"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "def prepare_img(\n",
    "    img: np.ndarray,\n",
    "    to_cpu: bool=False, \n",
    "    squeeze: bool=True, \n",
    "    normalize: bool=True, \n",
    "    channels_first_to_last: bool=True\n",
    ") -> np.ndarray:\n",
    "    def NormalizeData(data):\n",
    "        return (data - np.min(data)) / (np.max(data) - np.min(data))\n",
    "    if to_cpu:\n",
    "        img = img.cpu().numpy()\n",
    "    if squeeze:\n",
    "        img = img.squeeze(0)\n",
    "    if channels_first_to_last:\n",
    "        img = np.transpose(img, (1, 2, 0))\n",
    "    if normalize:\n",
    "        img = NormalizeData(img)\n",
    "    return img"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fe744251af0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "IMG_ITER = \"2000\"\n",
    "\n",
    "def rgb2gray(rgb):\n",
    "    return np.dot(rgb[...,:3], [0.2989, 0.5870, 0.1140])\n",
    "\n",
    "plt.imshow(rgb2gray(prepare_img(results[IMG_ITER])), vmin=0, vmax=1, cmap=\"hot\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fe7441788b0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(prepare_img(img_transformed.cpu().numpy()))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "maxi-ZjBXp4XP-py3.8",
   "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": "3.8.10 (default, Nov 14 2022, 12:59:47) \n[GCC 9.4.0]"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "65a2827122f59fa3af38b0a26c4bbb172a51e6b0f3177182a7aacb28e18e0590"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}