{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Explaining Neural Network Decisions on Data that have High-level Attributes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "CEM_MAFImageExplainer from [AIX360](https://github.com/IBM/AIX360) can be used to obtain contrastive explanations on data that have pre-defined high-level attributes, such as facial images that are annotated with features such as smile, high cheekbones, makeup, etc.\n", "\n", "The goal of this tutorial is to demonstrate the use of CEM_MAFImageExplainer, which offers two-part explanations based on a pertinent positive and a pertinent negative. The pertinent positive explanation outputs the minimal set of high-level features that must be present in order for the classification of a sample to remain the same, so that if any one of the output features was missing from the sample, the classification would be different. The pertinent negative explanation outputs a set of features that would cause a change to the classification if they were added to the sample." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Import statements" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "import tensorflow as tf\n", "import sys\n", "import os\n", "import numpy as np\n", "import random\n", "import matplotlib.pyplot as plt\n", "from zipfile import ZipFile\n", "\n", "from aix360.algorithms.contrastive import CEM_MAFImageExplainer\n", "from aix360.algorithms.contrastive import CELEBAModel\n", "from aix360.algorithms.contrastive import KerasClassifier\n", "from aix360.algorithms.contrastive.dwnld_CEM_MAF_celebA import dwnld_CEM_MAF_celebA\n", "from aix360.datasets.celeba_dataset import CelebADataset\n", "\n", "dwnld = dwnld_CEM_MAF_celebA()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### The following steps must be taken to get open-source code:\n", "1. The github project 'progressive_growing_of_gans' must be downloaded from https://github.com/tkarras/progressive_growing_of_gans and placed in the aix360/algorithms/contrastive folder. The project is based on the paper \"Progressive Growing of GANs for Improved Quality, Stability, and Variation\", ICLR 2018, by Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen.\n", "2. Another file, karras2018iclr-celebahq-1024x1024.pkl, must be downloaded from https://drive.google.com/drive/folders/15hvzxt_XxuokSmj0uO4xxMTMWVc0cIMU and placed in the progressive_growing_of_gans folder previously downloaded. \n", "3. The folder 'progressive_growing_of_gans' must be appended to PYTHONPATH." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### A Tensorflow session is required to run this example" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": true }, "outputs": [], "source": [ "sess = tf.InteractiveSession()\n", "random.seed(120)\n", "np.random.seed(1210)\n", "sess.run(tf.global_variables_initializer())\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Load CelebA model to be explained. Model must first be downloaded." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "celebA model file downloaded:\n", "['../../aix360/models/CEM_MAF/celebA']\n" ] } ], "source": [ "# Download pretrained celebA model\n", "local_path_models = '../../aix360/models/CEM_MAF'\n", "celebA_model_file = dwnld.dwnld_celebA_model(local_path_models)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Load: ../../aix360/models/CEM_MAF/celebA\n" ] } ], "source": [ "# Load the downloaded celebA model\n", "model_file = '../../aix360/models/CEM_MAF/celebA'\n", "loaded_model = CELEBAModel(restore=model_file, use_softmax=False).model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Wrap the CelebA model into a framework independent class structure\n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": true }, "outputs": [], "source": [ "mymodel = KerasClassifier(loaded_model)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Download a sample image. Note: img_id must be from the following list: [2, 3, 4, 9, 11, 13, 15, 16, 18, 20]. These images are stored publicly and are downloaded here using the function dwnld.dwnld_celebA_data. The second argument is a list of the image ids to be downloaded.ΒΆ" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Image files downloaded:\n", "['../../aix360/data/celeba_data/15_img.npy', '../../aix360/data/celeba_data/15img.png', '../../aix360/data/celeba_data/15_latent.npy']\n" ] } ], "source": [ "img_id = 15\n", "local_path_img = '../../aix360/data/celeba_data'\n", "img_files = dwnld.dwnld_celebA_data(local_path_img, [img_id])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ " #### Load the image and its latent representations, both to be used to generate a pertinent negative for the sample image. Then process the image and plot." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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oySk4TIYpUzQmlYt1meMppfIqytlYXxbexqmu6qSPzoQYJ9aeAInTAvl09awg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\nWylFrVnnO99/nWanyeBgyNXnz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MnqyjJ+EIKu8HzfmJI02xze38PzfUQOX/7CF2iub/Pa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\nAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dataset_obj = CelebADataset(local_path_img) # use the CelebA dataset class\n", "input_img = dataset_obj.get_img(img_id)\n", "input_latent = dataset_obj.get_latent(img_id)\n", "\n", "# images are processed according to needs for model being explained\n", "input_img = np.clip(input_img/2, -0.5, 0.5)\n", "\n", "plt.axis(\"off\")\n", "plt.imshow(input_img[0,:,:,:]+0.5)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Predict sample image using 8-class classifier based on 3 binary attributes: young (0 for old, 1 for young), smiling (0 for not smiling), 1 for smiling, and sex (0 for female, 1 for male)." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Image:../../aix360/data/celeba_data/15_img.png, pred:4\n", "Male:1, Smile:0, Young:0\n" ] } ], "source": [ "orig_prob, orig_class, orig_prob_str = mymodel.predict_long(input_img)\n", "# Compute classes\n", "young_flag = orig_class % 2\n", "smile_flag = (orig_class // 2) % 2\n", "sex_flag = (orig_class // 4) % 2\n", "\n", "arg_img_name = os.path.join(local_path_img, \"{}_img.png\".format(img_id))\n", "print(\"Image:{}, pred:{}\".format(arg_img_name, orig_class))\n", "print(\"Male:{}, Smile:{}, Young:{}\".format(sex_flag, smile_flag, young_flag))\n", "orig_img = input_img\n", "target_label = [np.eye(mymodel._nb_classes)[orig_class]]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Downloaded pretrained attribute classifiers to use for explaining the loaded model. Each attribute in the following list has a binary classifier to be taken as input to CEM_MAF." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Attribute files downloaded:\n", "['../../aix360/models/CEM_MAF/simple_Black_Hair_model.json', '../../aix360/models/CEM_MAF/simple_Black_Hair_weights.h5', '../../aix360/models/CEM_MAF/simple_Black_Hair.ckpt', '../../aix360/models/CEM_MAF/simple_Blond_Hair.ckpt', '../../aix360/models/CEM_MAF/simple_Blond_Hair_weights.h5', '../../aix360/models/CEM_MAF/simple_Blond_Hair_model.json', '../../aix360/models/CEM_MAF/simple_Brown_Hair_weights.h5', '../../aix360/models/CEM_MAF/simple_Brown_Hair_model.json', '../../aix360/models/CEM_MAF/simple_Brown_Hair.ckpt', '../../aix360/models/CEM_MAF/simple_Gray_Hair.ckpt', '../../aix360/models/CEM_MAF/simple_Gray_Hair_weights.h5', '../../aix360/models/CEM_MAF/simple_Gray_Hair_model.json', '../../aix360/models/CEM_MAF/simple_Wearing_Lipstick_model.json', '../../aix360/models/CEM_MAF/simple_Wearing_Lipstick_weights.h5', '../../aix360/models/CEM_MAF/simple_Wearing_Lipstick.ckpt', '../../aix360/models/CEM_MAF/simple_Heavy_Makeup.ckpt', '../../aix360/models/CEM_MAF/simple_Heavy_Makeup_model.json', '../../aix360/models/CEM_MAF/simple_Heavy_Makeup_weights.h5', '../../aix360/models/CEM_MAF/simple_High_Cheekbones_weights.h5', '../../aix360/models/CEM_MAF/simple_High_Cheekbones.ckpt', '../../aix360/models/CEM_MAF/simple_High_Cheekbones_model.json', '../../aix360/models/CEM_MAF/simple_Bangs_model.json', '../../aix360/models/CEM_MAF/simple_Bangs_weights.h5', '../../aix360/models/CEM_MAF/simple_Bangs.ckpt', '../../aix360/models/CEM_MAF/simple_Oval_Face_weights.h5', '../../aix360/models/CEM_MAF/simple_Oval_Face.ckpt', '../../aix360/models/CEM_MAF/simple_Oval_Face_model.json', '../../aix360/models/CEM_MAF/simple_Narrow_Eyes_model.json', '../../aix360/models/CEM_MAF/simple_Narrow_Eyes.ckpt', '../../aix360/models/CEM_MAF/simple_Narrow_Eyes_weights.h5', '../../aix360/models/CEM_MAF/simple_Bags_Under_Eyes.ckpt', '../../aix360/models/CEM_MAF/simple_Bags_Under_Eyes_model.json', '../../aix360/models/CEM_MAF/simple_Bags_Under_Eyes_weights.h5', '../../aix360/models/CEM_MAF/simple_Pointy_Nose_model.json', '../../aix360/models/CEM_MAF/simple_Pointy_Nose_weights.h5', '../../aix360/models/CEM_MAF/simple_Pointy_Nose.ckpt', '../../aix360/models/CEM_MAF/attr_model/simple_Black_Hair_model.json', '../../aix360/models/CEM_MAF/attr_model/simple_Black_Hair_weights.h5', '../../aix360/models/CEM_MAF/attr_model/simple_Black_Hair.ckpt', '../../aix360/models/CEM_MAF/attr_model/simple_Blond_Hair.ckpt', '../../aix360/models/CEM_MAF/attr_model/simple_Blond_Hair_weights.h5', '../../aix360/models/CEM_MAF/attr_model/simple_Blond_Hair_model.json', '../../aix360/models/CEM_MAF/attr_model/simple_Gray_Hair.ckpt', '../../aix360/models/CEM_MAF/attr_model/simple_Gray_Hair_weights.h5', '../../aix360/models/CEM_MAF/attr_model/simple_Gray_Hair_model.json', '../../aix360/models/CEM_MAF/attr_model/simple_Wearing_Lipstick_model.json', '../../aix360/models/CEM_MAF/attr_model/simple_Wearing_Lipstick_weights.h5', '../../aix360/models/CEM_MAF/attr_model/simple_Wearing_Lipstick.ckpt', '../../aix360/models/CEM_MAF/attr_model/simple_Heavy_Makeup.ckpt', '../../aix360/models/CEM_MAF/attr_model/simple_Heavy_Makeup_model.json', '../../aix360/models/CEM_MAF/attr_model/simple_Heavy_Makeup_weights.h5', '../../aix360/models/CEM_MAF/attr_model/simple_Bangs_model.json', '../../aix360/models/CEM_MAF/attr_model/simple_Bangs_weights.h5', '../../aix360/models/CEM_MAF/attr_model/simple_Bangs.ckpt', '../../aix360/models/CEM_MAF/attr_model/simple_Oval_Face_weights.h5', '../../aix360/models/CEM_MAF/attr_model/simple_Oval_Face.ckpt', '../../aix360/models/CEM_MAF/attr_model/simple_Oval_Face_model.json', '../../aix360/models/CEM_MAF/attr_model/simple_Narrow_Eyes_model.json', '../../aix360/models/CEM_MAF/attr_model/simple_Narrow_Eyes.ckpt', '../../aix360/models/CEM_MAF/attr_model/simple_Narrow_Eyes_weights.h5', '../../aix360/models/CEM_MAF/attr_model/simple_Bags_Under_Eyes.ckpt', '../../aix360/models/CEM_MAF/attr_model/simple_Bags_Under_Eyes_model.json', '../../aix360/models/CEM_MAF/attr_model/simple_Bags_Under_Eyes_weights.h5', '../../aix360/models/CEM_MAF/attr_model/simple_Pointy_Nose_model.json', '../../aix360/models/CEM_MAF/attr_model/simple_Pointy_Nose_weights.h5', '../../aix360/models/CEM_MAF/attr_model/simple_Pointy_Nose.ckpt']\n" ] } ], "source": [ "attributes = [\"Black_Hair\", \"Blond_Hair\", \"Brown_Hair\", \"Gray_Hair\", \"Wearing_Lipstick\", \"Heavy_Makeup\",\\\n", " \"High_Cheekbones\", \"Bangs\", \"Oval_Face\", \"Narrow_Eyes\", \"Bags_Under_Eyes\", \"Pointy_Nose\"]\n", "# Download attribute functions\n", "attr_model_files = dwnld.dwnld_celebA_attributes(local_path_models, attributes)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Set up a CEM_MAF explainer object with respect to the trained CelebA model and high-level attributes.\n" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": true }, "outputs": [], "source": [ "aix360_path = '../../aix360' # needed to find paths to attribute files\n", "explainer = CEM_MAFImageExplainer(mymodel, attributes, aix360_path)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Obtain the pertinent negative explaination" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# parameter values for the pertinent negative\n", "arg_mode = 'PN'\n", "arg_kappa = 5\n", "arg_gamma = 1\n", "arg_binary_search_steps = 1\n", "arg_max_iterations = 250\n", "arg_initial_const = 10\n", "arg_attr_reg = 100.0\n", "arg_attr_penalty_reg = 100.0\n", "arg_latent_square_loss_reg = 1.0" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loaded model for Black_Hair from disk\n", "Loaded model for Blond_Hair from disk\n", "Loaded model for Brown_Hair from disk\n", "Loaded model for Gray_Hair from disk\n", "Loaded model for Wearing_Lipstick from disk\n", "Loaded model for Heavy_Makeup from disk\n", "Loaded model for High_Cheekbones from disk\n", "Loaded model for Bangs from disk\n", "Loaded model for Oval_Face from disk\n", "Loaded model for Narrow_Eyes from disk\n", "Loaded model for Bags_Under_Eyes from disk\n", "Loaded model for Pointy_Nose from disk\n", "# of attr models is 12\n", "iter:0 const:[10.]\n", "Loss_Overall:7385.9272, Loss_Attack:0.0000, Loss_attr:1.2358\n", "Loss_Latent_L2Dist:20.1870, Loss_Img_L2Dist:7021.6318\n", "target_lab_score:-2.7435, max_nontarget_lab_score:5.0185\n", "\n", "iter:10 const:[10.]\n", "Loss_Overall:5924.4990, Loss_Attack:0.0000, Loss_attr:0.8909\n", "Loss_Latent_L2Dist:1159.0074, Loss_Img_L2Dist:4563.6479\n", "target_lab_score:0.6903, max_nontarget_lab_score:6.1033\n", "\n", "iter:20 const:[10.]\n", "Loss_Overall:3637.8708, Loss_Attack:0.0000, Loss_attr:0.5807\n", "Loss_Latent_L2Dist:789.6542, Loss_Img_L2Dist:2642.2075\n", "target_lab_score:-1.1012, max_nontarget_lab_score:6.5360\n", "\n", "iter:30 const:[10.]\n", "Loss_Overall:3287.6770, Loss_Attack:0.0000, Loss_attr:0.9050\n", "Loss_Latent_L2Dist:654.8574, Loss_Img_L2Dist:2436.0181\n", "target_lab_score:-2.9968, max_nontarget_lab_score:6.3617\n", "\n", "iter:40 const:[10.]\n", "Loss_Overall:2919.0195, Loss_Attack:0.0000, Loss_attr:0.8444\n", "Loss_Latent_L2Dist:541.7762, Loss_Img_L2Dist:2199.4700\n", "target_lab_score:-2.4757, max_nontarget_lab_score:5.8496\n", "\n", "iter:50 const:[10.]\n", "Loss_Overall:3176.9578, Loss_Attack:0.0000, Loss_attr:0.8826\n", "Loss_Latent_L2Dist:456.5536, Loss_Img_L2Dist:2545.3472\n", "target_lab_score:-2.4155, max_nontarget_lab_score:6.0877\n", "\n", "iter:60 const:[10.]\n", "Loss_Overall:3039.5088, Loss_Attack:0.0000, Loss_attr:0.8963\n", "Loss_Latent_L2Dist:415.3625, Loss_Img_L2Dist:2443.7905\n", "target_lab_score:-2.1841, max_nontarget_lab_score:6.0178\n", "\n", "iter:70 const:[10.]\n", "Loss_Overall:2210.2634, Loss_Attack:0.0000, Loss_attr:0.8182\n", "Loss_Latent_L2Dist:388.4205, Loss_Img_L2Dist:1652.5145\n", "target_lab_score:0.4080, max_nontarget_lab_score:6.5039\n", "\n", "iter:80 const:[10.]\n", "Loss_Overall:2101.1548, Loss_Attack:0.0000, Loss_attr:0.6353\n", "Loss_Latent_L2Dist:371.8968, Loss_Img_L2Dist:1564.4413\n", "target_lab_score:0.5502, max_nontarget_lab_score:6.1577\n", "\n", "iter:90 const:[10.]\n", "Loss_Overall:3215.2903, Loss_Attack:0.0000, Loss_attr:0.9105\n", "Loss_Latent_L2Dist:379.6212, Loss_Img_L2Dist:2653.0435\n", "target_lab_score:-3.3713, max_nontarget_lab_score:6.9207\n", "\n", "iter:100 const:[10.]\n", "Loss_Overall:2545.1436, Loss_Attack:69.2856, Loss_attr:1.0424\n", "Loss_Latent_L2Dist:354.3192, Loss_Img_L2Dist:1930.1128\n", "target_lab_score:4.2894, max_nontarget_lab_score:2.3609\n", "\n", "iter:110 const:[10.]\n", "Loss_Overall:2443.0845, Loss_Attack:0.0000, Loss_attr:0.7599\n", "Loss_Latent_L2Dist:346.3373, Loss_Img_L2Dist:1924.0270\n", "target_lab_score:-1.3882, max_nontarget_lab_score:7.5135\n", "\n", "iter:120 const:[10.]\n", "Loss_Overall:2219.9146, Loss_Attack:0.0000, Loss_attr:1.0280\n", "Loss_Latent_L2Dist:340.4952, Loss_Img_L2Dist:1691.4609\n", "target_lab_score:-1.6604, max_nontarget_lab_score:7.8813\n", "\n", "iter:130 const:[10.]\n", "Loss_Overall:2027.2773, Loss_Attack:0.0000, Loss_attr:0.6175\n", "Loss_Latent_L2Dist:344.2769, Loss_Img_L2Dist:1516.4824\n", "target_lab_score:-1.8672, max_nontarget_lab_score:8.1930\n", "\n", "iter:140 const:[10.]\n", "Loss_Overall:2343.8447, Loss_Attack:0.0000, Loss_attr:0.3613\n", "Loss_Latent_L2Dist:337.6933, Loss_Img_L2Dist:1823.3728\n", "target_lab_score:-0.9989, max_nontarget_lab_score:6.6355\n", "\n", "iter:150 const:[10.]\n", "Loss_Overall:2120.2942, Loss_Attack:0.0000, Loss_attr:0.5692\n", "Loss_Latent_L2Dist:339.6035, Loss_Img_L2Dist:1596.5542\n", "target_lab_score:-0.5275, max_nontarget_lab_score:6.9749\n", "\n", "iter:160 const:[10.]\n", "Loss_Overall:2194.8979, Loss_Attack:0.0000, Loss_attr:0.5159\n", "Loss_Latent_L2Dist:346.0681, Loss_Img_L2Dist:1660.7866\n", "target_lab_score:-0.7260, max_nontarget_lab_score:6.8917\n", "\n", "iter:170 const:[10.]\n", "Loss_Overall:2069.8169, Loss_Attack:0.0000, Loss_attr:0.7354\n", "Loss_Latent_L2Dist:341.7602, Loss_Img_L2Dist:1541.4486\n", "target_lab_score:-0.8644, max_nontarget_lab_score:7.5602\n", "\n", "iter:180 const:[10.]\n", "Loss_Overall:2006.3484, Loss_Attack:0.0000, Loss_attr:0.5715\n", "Loss_Latent_L2Dist:333.2462, Loss_Img_L2Dist:1493.0411\n", "target_lab_score:-2.0964, max_nontarget_lab_score:8.4303\n", "\n", "iter:190 const:[10.]\n", "Loss_Overall:2656.1536, Loss_Attack:87.6424, Loss_attr:0.5912\n", "Loss_Latent_L2Dist:316.9724, Loss_Img_L2Dist:2055.6011\n", "target_lab_score:4.6402, max_nontarget_lab_score:0.8760\n", "\n", "iter:200 const:[10.]\n", "Loss_Overall:1809.2095, Loss_Attack:18.6715, Loss_attr:0.6551\n", "Loss_Latent_L2Dist:311.5544, Loss_Img_L2Dist:1295.4883\n", "target_lab_score:2.3426, max_nontarget_lab_score:5.4755\n", "\n", "iter:210 const:[10.]\n", "Loss_Overall:2163.3423, Loss_Attack:0.0000, Loss_attr:0.8297\n", "Loss_Latent_L2Dist:309.7028, Loss_Img_L2Dist:1666.4037\n", "target_lab_score:-0.6750, max_nontarget_lab_score:7.2690\n", "\n", "iter:220 const:[10.]\n", "Loss_Overall:1676.7032, Loss_Attack:0.0000, Loss_attr:0.4670\n", "Loss_Latent_L2Dist:293.3751, Loss_Img_L2Dist:1206.6770\n", "target_lab_score:-1.7596, max_nontarget_lab_score:8.1373\n", "\n", "iter:230 const:[10.]\n", "Loss_Overall:1574.7423, Loss_Attack:0.0000, Loss_attr:0.6542\n", "Loss_Latent_L2Dist:279.5175, Loss_Img_L2Dist:1113.9025\n", "target_lab_score:0.3418, max_nontarget_lab_score:7.1122\n", "\n", "iter:240 const:[10.]\n", "Loss_Overall:2083.2930, Loss_Attack:0.0000, Loss_attr:0.4539\n", "Loss_Latent_L2Dist:265.6353, Loss_Img_L2Dist:1643.6389\n", "target_lab_score:-1.6940, max_nontarget_lab_score:7.6957\n", "\n", "[INFO] Orig class:4, Adv class:6, Orig prob:[[-5.7961226 -6.4976497 -5.1008477 -6.8349266 4.7267528 -3.3094192 -3.0575497 -4.120827 ]], Adv prob:[[-6.0269275 -4.697468 -3.5946152 -4.4234085 -0.62827617 -5.6178136 7.752234 0.4052744 ]]\n" ] } ], "source": [ "(adv_pn, attr_pn, info_pn) = explainer.explain_instance(sess, input_img, \n", " input_latent, arg_mode, arg_kappa, arg_binary_search_steps, \n", " arg_max_iterations, arg_initial_const, arg_gamma, None, \n", " arg_attr_reg, arg_attr_penalty_reg, \n", " arg_latent_square_loss_reg)\n", " \n", "print(info_pn)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "image/png": 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PP3qff/pP/5zl3SWtMfxiseLq5o40jinzDe8/fUCcpCxXBUoJlAr5d3/9K9Ik4ng2wRmJ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\nGnN68hhbFR1JyHhykfZptedGeENT3KYudbi27YIFILxFvI7jbbvKVIU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ASglXWApnKaxh\nmkZUZkRWzuK0ZlnXHI4dUSkO3cDD3TuM1uw3ezbbjoQSoLFwPLs4wznL+dkClRJNVWKMxVlhZcYg\nvIOQwV5yd0ll5+nK6ZPXJCnkAakkJeLpbs/s1HyjzwI2p0UOpwzk6b/Hn3/cJOeM+zFrmJfSHx8W\n3oug8E8PZX0vIJx6uHnW4ckzfQiEGCirgroqOXZHqrrkzbe3vHtzy353pO8GZn55VVcM48Dh0FFV\ntRBRUuTifEk/SAp4dXXOV1++Yblc8vU377i9feDhYcPZckHbFDgN3gd2Xc/yrOH583OmMNC0NT/7\ns18y+onN3YakLH/+Z7/AkHj3xVsOmyNVWbJcLvjlX/wlDze3czeKWYAEEraQmQc/DacUXmr0mfiT\n0NYKqzCB0iIOkpKiaJaU7RqlHdgCbR22Es6G1kYYiVY0EDAGjCUZC7YgoqRNaBzKuJxpaLS2GO2w\nrsaVS1zRUjRrynqNMRVFtUKbEmMqtK1x5QJbtJiyRdsSY0uMLTC6wLgS66qcImusLVFaCE/eB0IQ\nT4kYZT5FG03VNqA1282WiKIoS5qmpS4rdKZXWyfBQeXZjKIQJ2llNLvNlp//9GO8F4aniO9EphC5\nePaSwjkmH6nrgjc3tzy/PMeVmqq0YgeXxV59LhmmyVOUjrIsiEE8JIyCurDoFLEkChKOiEsRHSMm\n61moFE+tZvUkOMzzEE/Xg9ZkHY1HOv8pCDzpQMxL5vF7nCLCD4gH8jt/2NP/6xzyJnKNxeP6fxoq\nnj7+9MSp3L+3TgaahmHEGMObt7es1ksUSmirMdF3PfvtnqqwdIeOy4tzbu7u6PuB9aplGAIxJl6/\nuuLLr97y7OqSX//2Cx42B9qmknKj7zj24vRU1xVnywUxRsbJUxYFF5dnTAHOnz/ng48/xCTQGP70\nJx/w8vkFcRTcwSnNNHQy7mygqJssp5YZm8iOkVKSWYVZGDXjArPbkNbzaLTClqUoB40DfpT2oCkb\nlC3AFVCWUBaoqkLVNapp0HWNyf9UYdFVCUajyxJdVjndT2CsEJWcm8fuUCSiHyFjOraoiGESGrMW\nncyU5tIjkJVfBbuIAT+NUtaQcJWQp5TWUn4EL6PTfq7BDdY5XFniqobheMTmTKBuWoZOhpBs4YRg\nRaKqS1xRULU1fXfEGsXoPaUVevU0Tdzeb/jr/+P/FP+MmCi1wQ8d60XFoi5xpaNpKo6Hg2QxgDFG\ngsgoalaSvXmqwpL8RG21CL6oiEoBYTGmk+bHnB3Mu72Y8UiAUMjGpXOZMQcDpR6zhces4TGrfgoq\n5lXyBHP4YYHhPSEvyVb5GOGeSFXzBFdQTz558i51rskKZwmjR9XimNz3PSnBsRvQSjEMUvO+eXvL\ncrlC7OU067OW5aLh5uaeH7++4ubtNYuyYpwCKJEQ/+j1S/7hV7/nz//sF2gC2/sH6kJMZ6w1RO+x\nheP8/Jx2taRtW87XZ1yerRi6nr/+q/+NdlHxk49fMBw7vvzscx7evePP/ptfMg4dKQWZcDQFMKel\nskunmHcYldWSMj8hjFFSzZiEZJMSMXhpz4ZIGKTdarIYhYCSEOkesRgQ3QUtgYUEKk4oLFN3IBf2\nqChS5trnkiSMpCAXJE0xYxwBRYQUiGGS4J1r6blUEV0KYQaGoUcXpVx7rdFGkULeNa3FpCTCLMYR\ngyhWt8sl+91WlJtCwJWlkKwziKeAqm7oug6tNW1VczwcWa3P6UdPP3mKwlLXNd048OrFFe9u77BJ\n7qdj1/PyxRnX9xv6oeflB69FTclZxlwqzNOVMUSSAh8EvPXjSOM0TWEZ+h5tlHA6UsTOIKKSRQ6K\nWXRVBtvTyTBGz2WzVieT5TlLmIVYZp7Cd9cQT4GI/Om/0tkHmLOAOd2RCbmZ1/gdPbt8yHl9bMMY\npWjqim32IOynwGrRcttvqMqS4zBgrfSWlTY0Tc12u2W9XtE2DmdEhXezO9BWNft9x9dfv+X29oG2\nrmnqlsuLNYum5JuvvqE7HFEgjMS6ZNnUFGXBxauXXK7PsSGRhiNnz1/y95/9jvXFmmG349//h/+R\nbz7/muN2z/LZJWfnK+qliKQok7kW3md1Ik3M8wBqRp5IuZefyUAEUpb8jtMAY0IVNQpwRhOnAT+J\nK3OcRUUz0JVCkFaZsSTAOpcxhgntKsIoOgm2qAi+p2hauSJ+Ok0vKm1lTmMmGxlD6A/4cRRSUn6e\nVhAQ4xjvJ1R2ySarQk/D8BiglGLqOrQ11O2CcRqZxolxGjGuEIVppTkcO4iR9mzF8bDPI90RtGK3\n3zGlQDKw2x05u7iQ1qoz3D9smTKtWsVI21SkUc7h5D0hJvZdz/X1BtWs+Z//w//Ef/zr/8j47o7O\nBy4vLnh7ff0IMgLOGoxOWdnaYDK46Iz0XeT8p+xjKTdwQoKEGB4pMZE5rYIn4KKegwWP9ohPSgV5\n9pOVkTfTHON/UOcB3qOgoLW4F8PTNss/oTCnHn0gUuI73nshClovUtmB7tgTgtSNfT9gnMUYw3p9\nRgiepqmxRnbQu82eqq7pOxEVuby64N1mn0lRgZgmfvaTH/G3f/crXlyec0R2bWMczlqKoqRtG+Lk\nCWFi0SyI/YZht+WL33/K2WrJB3/6M0xMvHz9nL9/84aqLpj6A0af53mCAqvFOOSUHmUQC6SdN88I\nPNqPSYCYTWG1NiQ/AoqYFZFMVQFgKgkWKUWMkcU8A5dKqWw7bwldJMSIK9xJK8G64pFdah1hHCVz\nUOYEuIESINI4bG1PjESQFJt5NDvzSjDp1EkB6Vh0h+NJGcpEQ9912CpjDhlIFZq7/D5jHcftjna1\n4nA8MnZHqrZluVrR+weR4CuciKwkTdPUTMN0yi7vbu8pmobQS7dknAL7/chmd6CpK778/eeEceB8\nveLNzQNpCjJIlglyQ9dTOuGWFFoWlJ8mjErZSSuPSifBBtTcbXgSFOZZCHXaFHP2EMVr4ylLUWt1\nalXqJ+WDvMQjWC/vLmfg/MGe+v+9Fn/Ac/+rHfPu8Dj39MRtOh+PApWPTPDHuipJ/7jrOfY9x6OI\nhd7f7Sic43js8UE481rDoikpS0tZCIuvqWoO+0MGkgIvXz3n67c3oCKrtuRPf/4hpMBmu+dsueTY\nTfiYcK5gCInVas3N5sg37zakouDi9YfcbR9YnT/jV3/3K87PrzhbLTk/a1kUjmcXz3j1ow847PbU\nTYsPwjxMCobuSJgGqcODTC8KL0F8AoRwFPCjF4bdlOf2Z6EVYzFORpRP+WU2bwnjIGShaSKMI2Ec\nheswL2olxi7YgmQEpFTaiCL0TEjKXQ9tBYSUa6ZzZ0NuxBSF5xC9l9l+NRudiA8o+T1FH3L7VTII\nYyx101DWpVjCS9sDPw5MQ4e2msKJnJr09BNddySmyKHrWJytWZ2dc9jtJPjEhJtZlSQ2mz1NXTHl\nNq5zwk1pm5opB7VD1xM8lM7x/OKMl5fnRAy6qkjKcLZc8HB/T12Vp4VutGJROWyaMwORY3NGZSIa\nWEOeeZhLAU67/Rxtn873QA4i+Tuy/B8DwFNA8fSPP6Q0//Di4X0JCjySkmbuwT/XjoTvkZtmoses\npR8T4zhxc72hykNIdV1wcS4GrVVZUDgxEx2GEescu/2e5aKhMIa//O/+W97ebrnf7bm5fqCqK7pu\n4ngcefvmltIVjCGyPFuRjOH5yyuu90cunl9inePLz7/kf/+rv+L63TVffPYlD9sNhTUUTtFUBctl\nzaItef7iimka8THKxVdK5NmNkXwxyRRk8CJ/PoNzp/ZkTt1jmMsJe1J+SkkyJbImpTwHUlTEMRLH\nQBgmwhiIPhKnIDwkH+U1Mt8+etn1TdViygptC4xxuf7Pu7l1Iu+uhLwkfAktykvakHwg5I6C8Avm\n4JBOwUwlyTiMLSjqFle1oshkrOgraI11juPhQNcPDH3P1It8v8v6DKB4eHjAx8jy/AKUEcfrtuX2\nVujQISZWy0Ve+J66LOn6geQjrixRxjCOga7raNuWrjvSVIr7m2u+vb5nvV5K23fybPZ7YpQMVJMw\nKVDabMOHOELZHDBO3IK8y2v9pJMwb4J5JTzNFk7r40kXYQYPn9oanHgIM6iYn3wKEOqHIQvvRVCA\nU6Ysnz9Jg76f+KQnn53Sp/xxn9V1FVBXMmmYUqIuS1G+iYHz8xX9MDBNAWutRHWlqNsKZTR/+7f/\nANGLTuJqRWEdb9/dcnu/I0TY9xN122Cs5uJiyTB2/MWff4K2iRcvz6mN5vx8yfPXL/j1p78lxMBy\n3bC+WAuFWSXqusYR+MnPPsEaQ9d1j92VnAmErDcwy4FJwBNOwJwtKSVMv3lmQUqNKQN+8ziylenI\nnK+mCITEzGhUYk9EntIhZqafqxakEPEZrE0oGWxSM00aSDmjUwptS3k8BLGU4zE9VrmsQYl3BAls\nUT0+Yb6uSgxnpqHPwUbITDNjdRpGHm5vTi1AP00ooxiOB6EuNy0ug6zWOtZnZ4yjBF6U0OBVlu/z\n3tMfDxTOsT8c6fqBsiwJKHyCbuhQWlHYgm6/Z1VbirJAG41xlsVyQdu0VFWBJnCxrCUbyJ2G+V1J\nJpGrJatPbNWnUu7y1vXJ3SzNOFruUMyB4PRxxtJ4OuPwGGD+/x7vRVBIp5tcfedrOR499uSr+Yfm\nNqUARCkK5Vgp0d5bLmuOh471WUNKHqulntwfB25uN9hMPtkfesbJU5UlX399zeZ+z5dfvmMcI+fn\na96+u2W7O9K2C1arFXVTUTjN+mzBxcWSlCI3N3dYrTgeOna7Lb/4+c9599Ubfv7nf06IE1VTUGUX\nKp19BKqqpDSwOluCcfhJrMxDnkGY5xtmSbaZuDQvopkAY/LuYzJ1WGeikFIKlWQEOoUoDMY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rbbO15crGgLyzQeefHqBSkp+n1HqQ3Pf/QjVu2CyjrwgaKUmfsY/SmwzUpROqettixldiEPgrmi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\nhBjYbbe4ybM4O0Prq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hecPzvHx4xdLNBWRFbvb95w9eVXtIueuu3x0bHb7pm2W87PT8vz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\ne2xaOW2tMRxT5m7f8uN/9pd4+Tt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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Pertinent Negative pred:6\n", "Male:1, Smile:1, Young:0\n", "Added High_Cheekbones\n" ] } ], "source": [ "plt.axis(\"off\")\n", "plt.imshow(adv_pn[0,:,:,:]+0.5)\n", "plt.show()\n", " \n", "# Compute new classes\n", "adv_prob, adv_class, adv_prob_str = mymodel.predict_long(adv_pn)\n", "young_flag = adv_class % 2\n", "smile_flag = (adv_class // 2) % 2\n", "sex_flag = (adv_class // 4) % 2\n", "print(\"Pertinent Negative pred:{}\".format(adv_class))\n", "print(\"Male:{}, Smile:{}, Young:{}\".format(sex_flag, smile_flag, young_flag))\n", "print(attr_pn)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Obtain the pertinent positive explaination" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Creating a mask for pertinent positive\n", "Loaded model for Black_Hair from disk\n", "Loaded model for Blond_Hair from disk\n", "Loaded model for Brown_Hair from disk\n", "Loaded model for Gray_Hair from disk\n", "Loaded model for Wearing_Lipstick from disk\n", "Loaded model for Heavy_Makeup from disk\n", "Loaded model for High_Cheekbones from disk\n", "Loaded model for Bangs from disk\n", "Loaded model for Oval_Face from disk\n", "Loaded model for Narrow_Eyes from disk\n", "Loaded model for Bags_Under_Eyes from disk\n", "Loaded model for Pointy_Nose from disk\n", "# of attr models is 12\n", "iter:0 const:[10.]\n", "Loss_Overall:4382.9561, Loss_Attack:0.0000, Loss_attr:0.0771\n", "Loss_L2Dist:39100.1719, Loss_L1Dist:43718.0234, AE_loss:0.0\n", "target_lab_score:4.3499, max_nontarget_lab_score:-7.6034\n", "\n", "iter:10 const:[10.]\n", "Loss_Overall:436.1061, Loss_Attack:47.2062, Loss_attr:0.3453\n", "Loss_L2Dist:2466.2612, Loss_L1Dist:3463.2842, AE_loss:0.0\n", "target_lab_score:-2.1829, max_nontarget_lab_score:-2.4623\n", "\n", "iter:20 const:[10.]\n", "Loss_Overall:698.1842, Loss_Attack:0.0000, Loss_attr:0.1899\n", "Loss_L2Dist:5231.9268, Loss_L1Dist:6817.3809, AE_loss:0.0\n", "target_lab_score:1.2739, max_nontarget_lab_score:-5.9582\n", "\n", "iter:30 const:[10.]\n", "Loss_Overall:624.0765, Loss_Attack:0.0000, Loss_attr:0.3732\n", "Loss_L2Dist:4226.5225, Loss_L1Dist:5768.5303, AE_loss:0.0\n", "target_lab_score:2.6131, max_nontarget_lab_score:-9.5929\n", "\n", "iter:40 const:[10.]\n", "Loss_Overall:715.3864, Loss_Attack:0.0000, Loss_attr:0.2153\n", "Loss_L2Dist:5176.5283, Loss_L1Dist:6829.7847, AE_loss:0.0\n", "target_lab_score:3.5829, max_nontarget_lab_score:-4.1920\n", "\n", "iter:50 const:[10.]\n", "Loss_Overall:555.2651, Loss_Attack:0.0000, Loss_attr:0.5205\n", "Loss_L2Dist:3711.5945, Loss_L1Dist:4872.4102, AE_loss:0.0\n", "target_lab_score:2.4348, max_nontarget_lab_score:-2.5788\n", "\n", "iter:60 const:[10.]\n", "Loss_Overall:369.6270, Loss_Attack:35.8543, Loss_attr:0.2620\n", "Loss_L2Dist:2239.4399, Loss_L1Dist:3035.5767, AE_loss:0.0\n", "target_lab_score:-0.5174, max_nontarget_lab_score:-1.9320\n", "\n", "iter:70 const:[10.]\n", "Loss_Overall:330.4863, Loss_Attack:52.4312, Loss_attr:0.6744\n", "Loss_L2Dist:1501.2345, Loss_L1Dist:2045.4265, AE_loss:0.0\n", "target_lab_score:-0.3374, max_nontarget_lab_score:-0.0943\n", "\n", "iter:80 const:[10.]\n", "Loss_Overall:444.5557, Loss_Attack:0.0000, Loss_attr:0.7794\n", "Loss_L2Dist:2646.3767, Loss_L1Dist:3589.2808, AE_loss:0.0\n", "target_lab_score:1.3040, max_nontarget_lab_score:-9.0034\n", "\n", "iter:90 const:[10.]\n", "Loss_Overall:279.2845, Loss_Attack:68.8094, Loss_attr:0.4646\n", "Loss_L2Dist:800.1670, Loss_L1Dist:1687.4364, AE_loss:0.0\n", "target_lab_score:-4.7829, max_nontarget_lab_score:-2.9020\n", "\n", "Generating the pertinent positive\n", "Start ranking:\n", "i:1, index:60, value:0.9562264680862427, class:5\n", "i:2, index:85, value:0.9243737459182739, class:7\n", "i:3, index:91, value:0.8686531782150269, class:5\n", "i:4, index:54, value:0.8284841775894165, class:5\n", "i:5, index:107, value:0.7462365031242371, class:5\n", "i:6, index:86, value:0.6834268569946289, class:4\n" ] } ], "source": [ "# Parameter values for the pertinent positive \n", "# Note that regularization parameters need for pertinent negative are not need here\n", "arg_mode = 'PP'\n", "arg_kappa = 5\n", "arg_gamma = 100.0\n", "arg_beta = 0.1\n", "arg_binary_search_steps = 1\n", "arg_max_iterations = 100\n", "arg_initial_const = 10\n", " \n", "(adv_pp, __, __) = explainer.explain_instance(sess, input_img, None, arg_mode, arg_kappa, \n", " arg_binary_search_steps, arg_max_iterations, \n", " arg_initial_const, arg_gamma, arg_beta)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Display the result and check the class" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Pertinent positive pred:4\n", "Male:1, Smile:0, Young:0\n" ] } ], "source": [ "plt.axis(\"off\")\n", "plt.imshow(adv_pp[0,:,:,:]+0.5)\n", "plt.show()\n", " \n", "# Compute class of PP\n", "adv_prob, adv_class, adv_prob_str = mymodel.predict_long(adv_pp)\n", "young_flag = adv_class % 2\n", "smile_flag = (adv_class // 2) % 2\n", "sex_flag = (adv_class // 4) % 2\n", "print(\"Pertinent positive pred:{}\".format(adv_class))\n", "print(\"Male:{}, Smile:{}, Young:{}\".format(sex_flag, smile_flag, young_flag))" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.6.9" } }, "nbformat": 4, "nbformat_minor": 2 }