Grad-CAM.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Prerequisites"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "import sys\n",
    "import os\n",
    "import time\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torchvision\n",
    "from torchvision.transforms import transforms\n",
    "\n",
    "from PIL import Image\n",
    "\n",
    "import cv2\n",
    "\n",
    "# from efficientnet_pytorch import EfficientNet # what the heck is this?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# path to the folder with chexpert dataset which has structure outlined in the project description\n",
    "data_path = './CheXpert-v1.0-small'\n",
    "\n",
    "train_csv_path = data_path + '/train_mod.csv'\n",
    "valid_csv_path = data_path + '/valid_mod.csv'\n",
    "test_csv_path = data_path + '/test_mod.csv'\n",
    "dir_path = data_path\n",
    "\n",
    "#path to the directory with saved state dictionaries\n",
    "model_save_dir = './'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data preparation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def dropper(df):\n",
    "    d = df.copy()\n",
    "    index = d[d[\"Frontal/Lateral\"] == \"Lateral\"].index\n",
    "    d.drop(index=index, axis=0, inplace=True)\n",
    "    d = d.drop(columns=['Sex','Age','Frontal/Lateral','AP/PA'])\n",
    "    num = d._get_numeric_data()\n",
    "    num[num < 0] = 1 # U-ones policy\n",
    "    # d.Path = d.Path.str.replace('CheXpert-','chexpert/')\n",
    "    d = d.reset_index(drop=True)\n",
    "    return d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "valid_csv = pd.read_csv(valid_csv_path, sep=',').fillna(0)\n",
    "dval = dropper(valid_csv)\n",
    "\n",
    "train_csv = pd.read_csv(train_csv_path, sep=',').fillna(0)\n",
    "dtrain = dropper(train_csv)\n",
    "\n",
    "test_csv = pd.read_csv(test_csv_path, sep=',').fillna(0)\n",
    "dtest = dropper(test_csv)\n",
    "\n",
    "# image paths as Series\n",
    "vpath = dval.Path\n",
    "tpath = dtrain.Path\n",
    "ttpath = dtest.Path"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Transforms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# efficientnet transform\n",
    "efnet_transform = transforms.Compose([\n",
    "    transforms.Resize((456, 456)),\n",
    "    transforms.ToTensor(),\n",
    "])\n",
    "\n",
    "# densenet transform\n",
    "dnet_transform = transforms.Compose([\n",
    "    transforms.Resize((256, 256)),\n",
    "    transforms.ToTensor(),\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def findings(z, beta=0.5):\n",
    "\n",
    "    # assume z is a tensor \n",
    "    if type(z) != np.ndarray:\n",
    "        y = z.squeeze().numpy()\n",
    "        #print('shape',y.shape)\n",
    "    else:\n",
    "        y = z.copy().squeeze()\n",
    "        #print(y)\n",
    "\n",
    "    idx = np.argwhere(y > beta)\n",
    "\n",
    "    if idx.ndim > 1:\n",
    "        idx = idx.squeeze()\n",
    "\n",
    "    if idx.ndim == 0:\n",
    "        idx = np.expand_dims(idx,0)\n",
    "    return idx"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hooks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# gradients for gradcam are stored here\n",
    "stored_grads = torch.Tensor([])\n",
    "stored_fpass = torch.Tensor([])\n",
    "\n",
    "def bpass_hook(self, gin, gout):\n",
    "    global stored_grads\n",
    "    stored_grads = gout\n",
    "\n",
    "def fpass_hook(self, ten_in, ten_out):\n",
    "    global stored_fpass\n",
    "    stored_fpass = ten_out"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "class DenseNet121(nn.Module):\n",
    "    \"\"\"Model modified.\n",
    "    The architecture of our model is the same as standard DenseNet121\n",
    "    except the classifier layer which has an additional sigmoid function.\n",
    "    \"\"\"\n",
    "    def __init__(self, out_size):\n",
    "        super(DenseNet121, self).__init__()\n",
    "        self.densenet121 = torchvision.models.densenet121(pretrained = False)\n",
    "        num_ftrs = self.densenet121.classifier.in_features\n",
    "        self.densenet121.classifier = nn.Sequential(\n",
    "            nn.Linear(num_ftrs, out_size),\n",
    "            nn.Sigmoid()\n",
    "        )\n",
    "\n",
    "    def forward(self, x):\n",
    "        x = self.densenet121(x)\n",
    "        return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initialize and load the model\n",
    "model = DenseNet121(14).cuda()\n",
    "model = torch.nn.DataParallel(model).cuda()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def select(n=0):\n",
    "    global model, transform\n",
    "    \n",
    "    if n==0:\n",
    "        # Load the DenseNet121 \n",
    "        # model = torchvision.models.densenet121()\n",
    "        model = DenseNet121(14).cuda() ################# gpu\n",
    "        model = torch.nn.DataParallel(model).cuda() ################# gpu\n",
    "        # Get the input dimension of last layer\n",
    "        # kernel_count = model.classifier.in_features\n",
    "        # Replace last layer with new layer that have num_classes nodes, after that apply Sigmoid to the output\n",
    "        # model.classifier = nn.Sequential(nn.Linear(kernel_count, 14), nn.Sigmoid())\n",
    "        \n",
    "        # name = 'epoch_1_score_0.81652.pth'\n",
    "        name = 'm-epoch_ALL3.pth.tar'\n",
    "        model.load_state_dict(torch.load(os.path.join(model_save_dir, name))['state_dict'])\n",
    "        _=model.eval()\n",
    "        \n",
    "        # Get module object of last conv layer to attach hook to it\n",
    "        last_conv_layer = model.module.densenet121.features.denseblock4.denselayer16.conv2\n",
    "        transform = dnet_transform\n",
    "\n",
    "    if n==1:\n",
    "        model = EfficientNet.from_pretrained('efficientnet-b5')\n",
    "        model = nn.Sequential(nn.Linear(2048, 14), nn.Sigmoid())\n",
    "        \n",
    "        loaded_tuple = torch.load(model_save_dir+'epoch_3_score_0.88577.pth', map_location='cpu')\n",
    "        state_dict = loaded_tuple['state_dict']\n",
    "\n",
    "        # rename keys of state dict for efficient net\n",
    "        keys = list(state_dict.keys())\n",
    "        for k in keys:\n",
    "            new_key = k[4:]\n",
    "            state_dict[new_key] = state_dict.pop(k)\n",
    "        \n",
    "        model.load_state_dict(state_dict)\n",
    "        _ = model.eval()\n",
    "        \n",
    "        last_conv_layer = model.net._conv_head\n",
    "        transform = efnet_transform\n",
    "    \n",
    "    # register hooks for gradCAM\n",
    "    handle_b = last_conv_layer.register_backward_hook(bpass_hook)\n",
    "    handle_f = last_conv_layer.register_forward_hook(fpass_hook)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "select(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Run Grad-CAM - ALL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      \n",
      "      \n",
      "<<< Image #1 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00147/study13/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5  6  8 10 12 13] ['Edema', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Fracture', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.88]\n",
      "      \n",
      "      \n",
      "<<< Image #2 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00147/study8/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  5 10 12 13] ['Enlarged Cardiomediastinum', 'Edema', 'Pleural Effusion', 'Fracture', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.55 0.71 0.87]\n",
      "      \n",
      "      \n",
      "<<< Image #3 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00147/study14/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5  6  8 10 13] ['Edema', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.64 0.66 0.76]\n",
      "      \n",
      "      \n",
      "<<< Image #4 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00147/study10/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5  6  7  8 10 13] ['Lung Opacity', 'Edema', 'Consolidation', 'Pneumonia', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.63 0.69 0.94]\n",
      "      \n",
      "      \n",
      "<<< Image #5 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00147/study9/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  8 10 12 13] ['Lung Opacity', 'Atelectasis', 'Pleural Effusion', 'Fracture', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.61 0.72 0.93]\n",
      "      \n",
      "      \n",
      "<<< Image #6 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00147/study12/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5 10 12 13] ['Edema', 'Pleural Effusion', 'Fracture', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.61 0.53 0.95]\n",
      "      \n",
      "      \n",
      "<<< Image #7 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00148/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.56 0.73 0.52]\n",
      "      \n",
      "      \n",
      "<<< Image #8 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00148/study2/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.84 0.73]\n",
      "      \n",
      "      \n",
      "<<< Image #9 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00149/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 8 13] ['Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.93]\n",
      "      \n",
      "      \n",
      "<<< Image #10 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00149/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Probabilities: [0.51 0.9 ]\n",
      "      \n",
      "      \n",
      "<<< Image #11 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00150/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5 13] ['Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.89]\n",
      "      \n",
      "      \n",
      "<<< Image #12 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00150/study3/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  8 13] ['Lung Opacity', 'Consolidation', 'Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.93]\n",
      "      \n",
      "      \n",
      "<<< Image #13 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00150/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [8] ['Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.81]\n",
      "      \n",
      "      \n",
      "<<< Image #14 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00151/study3/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  8 12 13] ['Lung Opacity', 'Atelectasis', 'Fracture', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 13] ['Lung Opacity', 'Support Devices']\n",
      "Probabilities: [0.52 0.92]\n",
      "      \n",
      "      \n",
      "<<< Image #15 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00151/study3/view2_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  8 12 13] ['Lung Opacity', 'Atelectasis', 'Fracture', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 13] ['Lung Opacity', 'Support Devices']\n",
      "Probabilities: [0.78 0.66]\n",
      "      \n",
      "      \n",
      "<<< Image #16 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00151/study5/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  5  8 13] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2 13] ['Cardiomegaly', 'Support Devices']\n",
      "Probabilities: [0.64 0.78]\n",
      "      \n",
      "      \n",
      "<<< Image #17 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00151/study4/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 3 5] ['Cardiomegaly', 'Lung Opacity', 'Edema']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2 13] ['Cardiomegaly', 'Support Devices']\n",
      "Probabilities: [0.63 0.93]\n",
      "      \n",
      "      \n",
      "<<< Image #18 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00151/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.81]\n",
      "      \n",
      "      \n",
      "<<< Image #19 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00151/study2/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [13] ['Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2 13] ['Cardiomegaly', 'Support Devices']\n",
      "Probabilities: [0.54 0.89]\n",
      "      \n",
      "      \n",
      "<<< Image #20 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00152/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.59]\n",
      "      \n",
      "      \n",
      "<<< Image #21 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00153/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  5 13] ['Cardiomegaly', 'Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.79]\n",
      "      \n",
      "      \n",
      "<<< Image #22 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00154/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.52]\n",
      "      \n",
      "      \n",
      "<<< Image #23 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00155/study7/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3] ['Lung Opacity']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.66]\n",
      "      \n",
      "      \n",
      "<<< Image #24 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00155/study4/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 6 10 13] ['Consolidation', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.52 0.87 0.6  0.86]\n",
      "      \n",
      "      \n",
      "<<< Image #25 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00155/study6/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 7] ['Lung Opacity', 'Pneumonia']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #26 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00155/study2/view1_frontal.jpg\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5  7 10] ['Lung Opacity', 'Edema', 'Pneumonia', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #27 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00155/study8/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 13] ['Lung Opacity', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.75]\n",
      "      \n",
      "      \n",
      "<<< Image #28 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00155/study3/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5  7 13] ['Lung Opacity', 'Edema', 'Pneumonia', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.57 0.6  0.86 0.84]\n",
      "      \n",
      "      \n",
      "<<< Image #29 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00155/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5 13] ['Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 5 13] ['Edema', 'Support Devices']\n",
      "Probabilities: [0.62 0.94]\n",
      "      \n",
      "      \n",
      "<<< Image #30 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00155/study5/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3] ['Lung Opacity']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.65]\n",
      "      \n",
      "      \n",
      "<<< Image #31 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00156/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5  7 13] ['Lung Opacity', 'Edema', 'Pneumonia', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.6  0.56 0.63]\n",
      "      \n",
      "      \n",
      "<<< Image #32 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00157/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  4  5 10] ['Lung Opacity', 'Lung Lesion', 'Edema', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.89 0.52]\n",
      "      \n",
      "      \n",
      "<<< Image #33 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00158/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [12] ['Fracture']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #34 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00158/study1/view2_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [12] ['Fracture']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #35 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00158/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  3  8 10] ['Enlarged Cardiomediastinum', 'Lung Opacity', 'Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.87]\n",
      "      \n",
      "      \n",
      "<<< Image #36 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00159/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [] []\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #37 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00160/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 5 8] ['Lung Opacity', 'Edema', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.59 0.64 0.82]\n",
      "      \n",
      "      \n",
      "<<< Image #38 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00160/study2/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5  6  8 10 13] ['Edema', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.59 0.91 0.86]\n",
      "      \n",
      "      \n",
      "<<< Image #39 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00160/study3/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5  7 10 13] ['Lung Opacity', 'Edema', 'Pneumonia', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.69 0.62 0.66 0.82]\n",
      "      \n",
      "      \n",
      "<<< Image #40 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00161/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  7 11 13] ['Lung Opacity', 'Pneumonia', 'Pleural Other', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #41 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00162/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 8 10 13] ['Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Probabilities: [0.61 0.83]\n",
      "      \n",
      "      \n",
      "<<< Image #42 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00163/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #43 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00164/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 8 10 12] ['Atelectasis', 'Pleural Effusion', 'Fracture']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Probabilities: [0.64 0.72]\n",
      "      \n",
      "      \n",
      "<<< Image #44 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00165/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [4 9] ['Lung Lesion', 'Pneumothorax']\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.52]\n",
      "      \n",
      "      \n",
      "<<< Image #45 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00165/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 8 10] ['Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #46 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00166/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [10] ['Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Probabilities: [0.55 0.83]\n",
      "      \n",
      "      \n",
      "<<< Image #47 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00167/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [] []\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #48 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00168/study4/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.62]\n",
      "      \n",
      "      \n",
      "<<< Image #49 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00168/study4/view2_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.6]\n",
      "      \n",
      "      \n",
      "<<< Image #50 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00168/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [4] ['Lung Lesion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.66]\n",
      "      \n",
      "      \n",
      "<<< Image #51 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00168/study5/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.51]\n",
      "      \n",
      "      \n",
      "<<< Image #52 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00168/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [6] ['Consolidation']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.52]\n",
      "      \n",
      "      \n",
      "<<< Image #53 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00168/study3/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [9] ['Pneumothorax']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #54 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00169/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 7 8 9] ['Lung Opacity', 'Pneumonia', 'Atelectasis', 'Pneumothorax']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.7  0.58 0.65]\n",
      "      \n",
      "      \n",
      "<<< Image #55 >>>\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Path: ./CheXpert-v1.0-small/train/patient00169/study2/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  7  9 10] ['Lung Opacity', 'Consolidation', 'Pneumonia', 'Pneumothorax', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.68 0.73 0.69]\n",
      "      \n",
      "      \n",
      "<<< Image #56 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00169/study3/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  9 10] ['Lung Opacity', 'Pneumothorax', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.65 0.76 0.63]\n",
      "      \n",
      "      \n",
      "<<< Image #57 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00170/study6/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Probabilities: [0.7  0.87]\n",
      "      \n",
      "      \n",
      "<<< Image #58 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00170/study11/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #59 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00170/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 9 13] ['Pneumothorax', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.59]\n",
      "      \n",
      "      \n",
      "<<< Image #60 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00170/study10/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #61 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00170/study7/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 8 13] ['Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.81]\n",
      "      \n",
      "      \n",
      "<<< Image #62 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00170/study5/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.51]\n",
      "      \n",
      "      \n",
      "<<< Image #63 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00170/study3/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 9 13] ['Pneumothorax', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #64 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00170/study8/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 8 13] ['Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.57]\n",
      "      \n",
      "      \n",
      "<<< Image #65 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00170/study4/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 9 13] ['Pneumothorax', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #66 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00170/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 8 13] ['Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Probabilities: [0.58 0.73]\n",
      "      \n",
      "      \n",
      "<<< Image #67 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00170/study9/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.8]\n",
      "      \n",
      "      \n",
      "<<< Image #68 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00171/study2/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [6 7] ['Consolidation', 'Pneumonia']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 13] ['Lung Opacity', 'Support Devices']\n",
      "Probabilities: [0.81 0.59]\n",
      "      \n",
      "      \n",
      "<<< Image #69 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00171/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 4 6 8] ['Lung Opacity', 'Lung Lesion', 'Consolidation', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.61]\n",
      "      \n",
      "      \n",
      "<<< Image #70 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00171/study6/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5  6 10 13] ['Edema', 'Consolidation', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.83 0.56 0.91 0.68]\n",
      "      \n",
      "      \n",
      "<<< Image #71 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00171/study4/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  7 10 13] ['Lung Opacity', 'Pneumonia', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.8  0.51 0.81 0.54]\n",
      "      \n",
      "      \n",
      "<<< Image #72 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00171/study7/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5  6 10 13] ['Edema', 'Consolidation', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.81 0.93 0.84]\n",
      "      \n",
      "      \n",
      "<<< Image #73 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00171/study3/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 6  7 10 13] ['Consolidation', 'Pneumonia', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Probabilities: [0.84 0.69]\n",
      "      \n",
      "      \n",
      "<<< Image #74 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00171/study5/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 6  7 10 13] ['Consolidation', 'Pneumonia', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.8  0.72 0.77]\n",
      "      \n",
      "      \n",
      "<<< Image #75 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00172/study5/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 7 8] ['Lung Opacity', 'Pneumonia', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 13] ['Lung Opacity', 'Edema', 'Support Devices']\n",
      "Probabilities: [0.69 0.73 0.97]\n",
      "      \n",
      "      \n",
      "<<< Image #76 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00172/study1/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5 13] ['Lung Opacity', 'Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.66 0.64 0.79 0.96]\n",
      "      \n",
      "      \n",
      "<<< Image #77 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00172/study2/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5 13] ['Lung Opacity', 'Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.67 0.54 0.79 0.96]\n",
      "      \n",
      "      \n",
      "<<< Image #78 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00172/study4/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.54 0.69 0.95]\n",
      "      \n",
      "      \n",
      "<<< Image #79 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00172/study3/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5  7  8 10 13] ['Lung Opacity', 'Edema', 'Pneumonia', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.61 0.65 0.92]\n",
      "      \n",
      "      \n",
      "<<< Image #80 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00173/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [] []\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #81 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00174/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [1] ['Enlarged Cardiomediastinum']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Probabilities: [0.61 0.53]\n",
      "      \n",
      "      \n",
      "<<< Image #82 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00174/study2/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  8 10 13] ['Lung Opacity', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.68 0.8  0.73]\n",
      "      \n",
      "      \n",
      "<<< Image #83 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00175/study2/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  8  9 10] ['Enlarged Cardiomediastinum', 'Atelectasis', 'Pneumothorax', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Probabilities: [0.66 0.65]\n",
      "      \n",
      "      \n",
      "<<< Image #84 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00175/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #85 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00176/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.54]\n",
      "      \n",
      "      \n",
      "<<< Image #86 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00177/study5/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 8 10] ['Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.58]\n",
      "      \n",
      "      \n",
      "<<< Image #87 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00177/study2/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  5  8 10] ['Cardiomegaly', 'Edema', 'Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.58 0.6  0.68 0.82]\n",
      "      \n",
      "      \n",
      "<<< Image #88 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00177/study3/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5  8 10 13] ['Edema', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 5 13] ['Edema', 'Support Devices']\n",
      "Probabilities: [0.69 0.91]\n",
      "      \n",
      "      \n",
      "<<< Image #89 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00177/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5 13] ['Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 5 10 13] ['Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.66 0.63 0.97]\n",
      "      \n",
      "      \n",
      "<<< Image #90 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00177/study4/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5 13] ['Lung Opacity', 'Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.58 0.63 0.78 0.74]\n",
      "      \n",
      "      \n",
      "<<< Image #91 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00178/study10/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  3 13] ['Enlarged Cardiomediastinum', 'Lung Opacity', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [5] ['Edema']\n",
      "Probabilities: [0.66]\n",
      "      \n",
      "      \n",
      "<<< Image #92 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00178/study4/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  5 10 13] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.68 0.76 0.59]\n",
      "      \n",
      "      \n",
      "<<< Image #93 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00178/study5/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  5  7 13] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Pneumonia', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3 5] ['Lung Opacity', 'Edema']\n",
      "Probabilities: [0.71 0.7 ]\n",
      "      \n",
      "      \n",
      "<<< Image #94 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00178/study6/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5  7 10 13] ['Lung Opacity', 'Edema', 'Pneumonia', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2  3  5 13] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Support Devices']\n",
      "Probabilities: [0.54 0.76 0.86 0.85]\n",
      "      \n",
      "      \n",
      "<<< Image #95 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00178/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.54 0.59 0.95]\n",
      "      \n",
      "      \n",
      "<<< Image #96 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00178/study7/view1_frontal.jpg\n",
      "1/5\n",
      "2/5\n",
      "3/5\n",
      "4/5\n",
      "5/5\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  3  5  6  8 10] ['Enlarged Cardiomediastinum', 'Lung Opacity', 'Edema', 'Consolidation', 'Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2  3  5 10 13] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.52 0.76 0.84 0.75 0.78]\n",
      "      \n",
      "      \n",
      "<<< Image #97 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00178/study8/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  5 10 13] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.72 0.79 0.73 0.81]\n",
      "      \n",
      "      \n",
      "<<< Image #98 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00178/study2/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.55 0.95]\n",
      "      \n",
      "      \n",
      "<<< Image #99 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00178/study9/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  3  5  6  8 10 13] ['Enlarged Cardiomediastinum', 'Lung Opacity', 'Edema', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.77 0.77 0.76 0.71]\n",
      "      \n",
      "      \n",
      "<<< Image #100 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00178/study3/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5 10 13] ['Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.53 0.71 0.91 0.94]\n",
      "      \n",
      "      \n",
      "<<< Image #101 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00179/study3/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.64]\n",
      "      \n",
      "      \n",
      "<<< Image #102 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00179/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [4] ['Lung Lesion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Probabilities: [0.66 0.56]\n",
      "      \n",
      "      \n",
      "<<< Image #103 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00179/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [4 8] ['Lung Lesion', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.69]\n",
      "      \n",
      "      \n",
      "<<< Image #104 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00180/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [4] ['Lung Lesion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #105 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00180/study3/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 7 9] ['Lung Opacity', 'Pneumonia', 'Pneumothorax']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.7]\n",
      "      \n",
      "      \n",
      "<<< Image #106 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00180/study2/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  9 13] ['Lung Opacity', 'Pneumothorax', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 9 13] ['Pneumothorax', 'Support Devices']\n",
      "Probabilities: [0.8  0.88]\n",
      "      \n",
      "      \n",
      "<<< Image #107 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00181/study1/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  8 13] ['Lung Opacity', 'Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  8 10 13] ['Lung Opacity', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.62 0.53 0.51 0.67]\n",
      "      \n",
      "      \n",
      "<<< Image #108 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00182/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  8 13] ['Lung Opacity', 'Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 13] ['Lung Opacity', 'Support Devices']\n",
      "Probabilities: [0.62 0.65]\n",
      "      \n",
      "      \n",
      "<<< Image #109 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00183/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.86]\n",
      "      \n",
      "      \n",
      "<<< Image #110 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00183/study3/view1_frontal.jpg\n",
      "1/5\n",
      "2/5\n",
      "3/5\n",
      "4/5\n",
      "5/5\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 8 10 13] ['Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2  3  5 10 13] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.57 0.58 0.83 0.68 0.95]\n",
      "      \n",
      "      \n",
      "<<< Image #111 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00183/study2/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.6  0.76 0.69 0.98]\n",
      "      \n",
      "      \n",
      "<<< Image #112 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00183/study4/view1_frontal.jpg\n",
      "1/5\n",
      "2/5\n",
      "3/5\n",
      "4/5\n",
      "5/5\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  5 10 13] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2  3  5 10 13] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.77 0.66 0.64 0.95 0.98]\n",
      "      \n",
      "      \n",
      "<<< Image #113 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00184/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [13] ['Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.59]\n",
      "      \n",
      "      \n",
      "<<< Image #114 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00184/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.58]\n",
      "      \n",
      "      \n",
      "<<< Image #115 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00184/study4/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 8] ['Lung Opacity', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.77]\n",
      "      \n",
      "      \n",
      "<<< Image #116 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00184/study3/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5 13] ['Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 13] ['Lung Opacity', 'Edema', 'Support Devices']\n",
      "Probabilities: [0.65 0.55 0.93]\n",
      "      \n",
      "      \n",
      "<<< Image #117 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00184/study5/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 5 7] ['Lung Opacity', 'Edema', 'Pneumonia']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.73]\n",
      "      \n",
      "      \n",
      "<<< Image #118 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00185/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.56]\n",
      "      \n",
      "      \n",
      "<<< Image #119 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00185/study1/view2_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.63]\n",
      "      \n",
      "      \n",
      "<<< Image #120 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00186/study1/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 4 13] ['Lung Lesion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.59 0.52 0.54 0.97]\n",
      "      \n",
      "      \n",
      "<<< Image #121 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00186/study2/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.7  0.54 0.77 0.96]\n",
      "      \n",
      "      \n",
      "<<< Image #122 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00187/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  5 10 13] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2 10 13] ['Cardiomegaly', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.51 0.55 0.88]\n",
      "      \n",
      "      \n",
      "<<< Image #123 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00188/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [12] ['Fracture']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Probabilities: [0.59 0.56]\n",
      "      \n",
      "      \n",
      "<<< Image #124 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00189/study2/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1 10 11] ['Enlarged Cardiomediastinum', 'Pleural Effusion', 'Pleural Other']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #125 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00189/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3] ['Lung Opacity']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #126 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00190/study1/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 5] ['Cardiomegaly', 'Edema']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2  3  5 13] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Support Devices']\n",
      "Probabilities: [0.54 0.6  0.79 0.57]\n",
      "      \n",
      "      \n",
      "<<< Image #127 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00190/study1/view2_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 5] ['Cardiomegaly', 'Edema']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 13] ['Lung Opacity', 'Edema', 'Support Devices']\n",
      "Probabilities: [0.58 0.6  0.56]\n",
      "      \n",
      "      \n",
      "<<< Image #128 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00190/study2/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5  8 10] ['Lung Opacity', 'Edema', 'Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.55 0.5  0.6  0.69]\n",
      "      \n",
      "      \n",
      "<<< Image #129 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00191/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [] []\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #130 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00192/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [] []\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.62]\n",
      "      \n",
      "      \n",
      "<<< Image #131 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00193/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5  8 13] ['Edema', 'Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2 13] ['Cardiomegaly', 'Support Devices']\n",
      "Probabilities: [0.57 0.88]\n",
      "      \n",
      "      \n",
      "<<< Image #132 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00194/study3/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.5]\n",
      "      \n",
      "      \n",
      "<<< Image #133 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00194/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.63]\n",
      "      \n",
      "      \n",
      "<<< Image #134 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00194/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #135 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00195/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [5 7] ['Edema', 'Pneumonia']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.7]\n",
      "      \n",
      "      \n",
      "<<< Image #136 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00196/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  8 10] ['Lung Opacity', 'Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10] ['Pleural Effusion']\n",
      "Probabilities: [0.58]\n",
      "      \n",
      "      \n",
      "<<< Image #137 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00197/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [1] ['Enlarged Cardiomediastinum']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #138 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00198/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [] []\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #139 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00199/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2 10] ['Cardiomegaly', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [2] ['Cardiomegaly']\n",
      "Probabilities: [0.63]\n",
      "      \n",
      "      \n",
      "<<< Image #140 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00200/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 3 5] ['Cardiomegaly', 'Lung Opacity', 'Edema']\n",
      "Uncertainties: [] []\n",
      "Prediction: [2 5] ['Cardiomegaly', 'Edema']\n",
      "Probabilities: [0.61 0.56]\n",
      "      \n",
      "      \n",
      "<<< Image #141 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00201/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1 13] ['Enlarged Cardiomediastinum', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.87]\n",
      "      \n",
      "      \n",
      "<<< Image #142 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00201/study2/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [1 3 5 7] ['Enlarged Cardiomediastinum', 'Lung Opacity', 'Edema', 'Pneumonia']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #143 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00202/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.55]\n",
      "      \n",
      "      \n",
      "<<< Image #144 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00202/study1/view2_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #145 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00202/study2/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 6 8] ['Lung Opacity', 'Consolidation', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #146 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00203/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 9 13] ['Pneumothorax', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #147 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00203/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.52]\n",
      "      \n",
      "      \n",
      "<<< Image #148 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00204/study8/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3] ['Lung Opacity']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2 13] ['Cardiomegaly', 'Support Devices']\n",
      "Probabilities: [0.85 0.94]\n",
      "      \n",
      "      \n",
      "<<< Image #149 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00204/study6/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  5 10] ['Cardiomegaly', 'Edema', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2 13] ['Cardiomegaly', 'Support Devices']\n",
      "Probabilities: [0.75 0.92]\n",
      "      \n",
      "      \n",
      "<<< Image #150 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00204/study2/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  5 13] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 13] ['Lung Opacity', 'Edema', 'Support Devices']\n",
      "Probabilities: [0.59 0.65 0.93]\n",
      "      \n",
      "      \n",
      "<<< Image #151 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00204/study15/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 6  8 10 13] ['Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.5  0.77]\n",
      "      \n",
      "      \n",
      "<<< Image #152 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00204/study14/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  8 10 13] ['Lung Opacity', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  8 10 13] ['Lung Opacity', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.62 0.5  0.67 0.86]\n",
      "      \n",
      "      \n",
      "<<< Image #153 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00204/study9/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  5 13] ['Cardiomegaly', 'Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2 13] ['Cardiomegaly', 'Support Devices']\n",
      "Probabilities: [0.73 0.93]\n",
      "      \n",
      "      \n",
      "<<< Image #154 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00204/study16/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.94]\n",
      "      \n",
      "      \n",
      "<<< Image #155 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00204/study7/view1_frontal.jpg\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3] ['Lung Opacity']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2 13] ['Cardiomegaly', 'Support Devices']\n",
      "Probabilities: [0.75 0.95]\n",
      "      \n",
      "      \n",
      "<<< Image #156 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00204/study7/view2_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3] ['Lung Opacity']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2  5 13] ['Cardiomegaly', 'Edema', 'Support Devices']\n",
      "Probabilities: [0.78 0.55 0.92]\n",
      "      \n",
      "      \n",
      "<<< Image #157 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00204/study3/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  5 13] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2  5 13] ['Cardiomegaly', 'Edema', 'Support Devices']\n",
      "Probabilities: [0.71 0.86 0.86]\n",
      "      \n",
      "      \n",
      "<<< Image #158 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00204/study3/view2_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  5 13] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2  3  5 13] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Support Devices']\n",
      "Probabilities: [0.67 0.53 0.84 0.93]\n",
      "      \n",
      "      \n",
      "<<< Image #159 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00204/study17/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [10] ['Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.54 0.82]\n",
      "      \n",
      "      \n",
      "<<< Image #160 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00204/study10/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  5 13] ['Cardiomegaly', 'Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2  3  5 13] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Support Devices']\n",
      "Probabilities: [0.73 0.53 0.59 0.96]\n",
      "      \n",
      "      \n",
      "<<< Image #161 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00204/study4/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  6 10 13] ['Cardiomegaly', 'Consolidation', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2 13] ['Cardiomegaly', 'Support Devices']\n",
      "Probabilities: [0.73 0.94]\n",
      "      \n",
      "      \n",
      "<<< Image #162 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00204/study13/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  8 10 13] ['Lung Opacity', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.62 0.79 0.88]\n",
      "      \n",
      "      \n",
      "<<< Image #163 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00204/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  5 13] ['Cardiomegaly', 'Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2  5 13] ['Cardiomegaly', 'Edema', 'Support Devices']\n",
      "Probabilities: [0.77 0.51 0.92]\n",
      "      \n",
      "      \n",
      "<<< Image #164 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00204/study12/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  8 10 13] ['Lung Opacity', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.62 0.72 0.93]\n",
      "      \n",
      "      \n",
      "<<< Image #165 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00204/study11/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 5] ['Lung Opacity', 'Edema']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2  5 13] ['Cardiomegaly', 'Edema', 'Support Devices']\n",
      "Probabilities: [0.72 0.68 0.98]\n",
      "      \n",
      "      \n",
      "<<< Image #166 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00204/study5/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  3 10 13] ['Enlarged Cardiomediastinum', 'Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2 13] ['Cardiomegaly', 'Support Devices']\n",
      "Probabilities: [0.51 0.94]\n",
      "      \n",
      "      \n",
      "<<< Image #167 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00205/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.54]\n",
      "      \n",
      "      \n",
      "<<< Image #168 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00206/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [11] ['Pleural Other']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #169 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00207/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [] []\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #170 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00208/study4/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [12] ['Fracture']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #171 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00208/study4/view2_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [12] ['Fracture']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.55]\n",
      "      \n",
      "      \n",
      "<<< Image #172 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00208/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 8 13] ['Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.79]\n",
      "      \n",
      "      \n",
      "<<< Image #173 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00208/study3/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 8 13] ['Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.82]\n",
      "      \n",
      "      \n",
      "<<< Image #174 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00208/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  8 13] ['Enlarged Cardiomediastinum', 'Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.66]\n",
      "      \n",
      "      \n",
      "<<< Image #175 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00209/study7/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #176 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00209/study6/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5  6  8 13] ['Lung Opacity', 'Edema', 'Consolidation', 'Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.63 0.75 0.86 0.96]\n",
      "      \n",
      "      \n",
      "<<< Image #177 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00209/study4/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5 13] ['Lung Opacity', 'Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.68 0.73 0.58 0.98]\n",
      "      \n",
      "      \n",
      "<<< Image #178 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00209/study3/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [6 7 8] ['Consolidation', 'Pneumonia', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 5 13] ['Edema', 'Support Devices']\n",
      "Probabilities: [0.64 0.93]\n",
      "      \n",
      "      \n",
      "<<< Image #179 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00209/study5/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5 13] ['Lung Opacity', 'Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.63 0.69 0.52 0.98]\n",
      "      \n",
      "      \n",
      "<<< Image #180 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00209/study1/view1_frontal.jpg\n",
      "1/1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  7  8 13] ['Lung Opacity', 'Pneumonia', 'Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.96]\n",
      "      \n",
      "      \n",
      "<<< Image #181 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00209/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 13] ['Lung Opacity', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.87]\n",
      "      \n",
      "      \n",
      "<<< Image #182 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00210/study5/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 3 5 7] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Pneumonia']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.72]\n",
      "      \n",
      "      \n",
      "<<< Image #183 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00210/study15/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 6] ['Lung Opacity', 'Consolidation']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3 5] ['Lung Opacity', 'Edema']\n",
      "Probabilities: [0.72 0.59]\n",
      "      \n",
      "      \n",
      "<<< Image #184 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00210/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 3 5] ['Cardiomegaly', 'Lung Opacity', 'Edema']\n",
      "Uncertainties: [] []\n",
      "Prediction: [2 3 5] ['Cardiomegaly', 'Lung Opacity', 'Edema']\n",
      "Probabilities: [0.56 0.61 0.57]\n",
      "      \n",
      "      \n",
      "<<< Image #185 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00210/study4/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 3 7] ['Cardiomegaly', 'Lung Opacity', 'Pneumonia']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3 7] ['Lung Opacity', 'Pneumonia']\n",
      "Probabilities: [0.75 0.53]\n",
      "      \n",
      "      \n",
      "<<< Image #186 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00210/study14/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 5] ['Cardiomegaly', 'Edema']\n",
      "Uncertainties: [] []\n",
      "Prediction: [2 3 5 7] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Pneumonia']\n",
      "Probabilities: [0.56 0.77 0.74 0.57]\n",
      "      \n",
      "      \n",
      "<<< Image #187 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00210/study9/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 3] ['Cardiomegaly', 'Lung Opacity']\n",
      "Uncertainties: [] []\n",
      "Prediction: [2 3 5] ['Cardiomegaly', 'Lung Opacity', 'Edema']\n",
      "Probabilities: [0.61 0.74 0.64]\n",
      "      \n",
      "      \n",
      "<<< Image #188 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00210/study10/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 3 4] ['Cardiomegaly', 'Lung Opacity', 'Lung Lesion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [2 3] ['Cardiomegaly', 'Lung Opacity']\n",
      "Probabilities: [0.55 0.69]\n",
      "      \n",
      "      \n",
      "<<< Image #189 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00210/study12/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [1 3] ['Enlarged Cardiomediastinum', 'Lung Opacity']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.63]\n",
      "      \n",
      "      \n",
      "<<< Image #190 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00210/study8/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 3 5] ['Cardiomegaly', 'Lung Opacity', 'Edema']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.67]\n",
      "      \n",
      "      \n",
      "<<< Image #191 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00210/study11/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [2 3] ['Cardiomegaly', 'Lung Opacity']\n",
      "Probabilities: [0.59 0.58]\n",
      "      \n",
      "      \n",
      "<<< Image #192 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00210/study19/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 3 5 6] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Consolidation']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2  3  5 10] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Pleural Effusion']\n",
      "Probabilities: [0.61 0.78 0.66 0.6 ]\n",
      "      \n",
      "      \n",
      "<<< Image #193 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00210/study17/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 3] ['Cardiomegaly', 'Lung Opacity']\n",
      "Uncertainties: [] []\n",
      "Prediction: [2 3 5] ['Cardiomegaly', 'Lung Opacity', 'Edema']\n",
      "Probabilities: [0.85 0.75 0.75]\n",
      "      \n",
      "      \n",
      "<<< Image #194 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00210/study18/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 3 5 8] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2  3  5 10] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Pleural Effusion']\n",
      "Probabilities: [0.58 0.76 0.81 0.51]\n",
      "      \n",
      "      \n",
      "<<< Image #195 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00210/study2/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 5] ['Cardiomegaly', 'Edema']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2  3  5 13] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Support Devices']\n",
      "Probabilities: [0.57 0.58 0.82 0.62]\n",
      "      \n",
      "      \n",
      "<<< Image #196 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00210/study13/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 6] ['Lung Opacity', 'Consolidation']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.62]\n",
      "      \n",
      "      \n",
      "<<< Image #197 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00210/study6/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [1 3 6 7] ['Enlarged Cardiomediastinum', 'Lung Opacity', 'Consolidation', 'Pneumonia']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10] ['Lung Opacity', 'Edema', 'Pleural Effusion']\n",
      "Probabilities: [0.76 0.55 0.74]\n",
      "      \n",
      "      \n",
      "<<< Image #198 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00210/study7/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 3] ['Cardiomegaly', 'Lung Opacity']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2  3  5 13] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Support Devices']\n",
      "Probabilities: [0.61 0.65 0.67 0.53]\n",
      "      \n",
      "      \n",
      "<<< Image #199 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00210/study3/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 3 5 7] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Pneumonia']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.56]\n",
      "      \n",
      "      \n",
      "<<< Image #200 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00210/study16/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 3 8] ['Cardiomegaly', 'Lung Opacity', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [2 3 5] ['Cardiomegaly', 'Lung Opacity', 'Edema']\n",
      "Probabilities: [0.56 0.65 0.73]\n",
      "      \n",
      "      \n",
      "<<< Image #201 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00211/study1/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 6 8] ['Lung Opacity', 'Consolidation', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.64 0.58 0.71 0.68]\n",
      "      \n",
      "      \n",
      "<<< Image #202 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00211/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.63]\n",
      "      \n",
      "      \n",
      "<<< Image #203 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00212/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  5 10] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [2 3 5] ['Cardiomegaly', 'Lung Opacity', 'Edema']\n",
      "Probabilities: [0.51 0.7  0.71]\n",
      "      \n",
      "      \n",
      "<<< Image #204 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00213/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 3 5] ['Cardiomegaly', 'Lung Opacity', 'Edema']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #205 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00213/study2/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 5 7 8] ['Lung Opacity', 'Edema', 'Pneumonia', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.59 0.84 0.89 0.55]\n",
      "      \n",
      "      \n",
      "<<< Image #206 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00214/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 5 8] ['Lung Opacity', 'Edema', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 13] ['Lung Opacity', 'Edema', 'Support Devices']\n",
      "Probabilities: [0.65 0.55 0.66]\n",
      "      \n",
      "      \n",
      "<<< Image #207 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00215/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #208 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00216/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #209 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00217/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [1 2] ['Enlarged Cardiomediastinum', 'Cardiomegaly']\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.54]\n",
      "      \n",
      "      \n",
      "<<< Image #210 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00217/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #211 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00218/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.58]\n",
      "      \n",
      "      \n",
      "<<< Image #212 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00218/study2/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 13] ['Lung Opacity', 'Support Devices']\n",
      "Probabilities: [0.6  0.88]\n",
      "      \n",
      "      \n",
      "<<< Image #213 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00219/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [] []\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #214 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00220/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [] []\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #215 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00220/study2/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Probabilities: [0.56 0.82]\n",
      "      \n",
      "      \n",
      "<<< Image #216 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00221/study10/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Probabilities: [0.68 0.64]\n",
      "      \n",
      "      \n",
      "<<< Image #217 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00221/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  5  7 10 13] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Pneumonia', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.7  0.81 0.97]\n",
      "      \n",
      "      \n",
      "<<< Image #218 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00221/study9/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [6] ['Consolidation']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Probabilities: [0.69 0.62]\n",
      "      \n",
      "      \n",
      "<<< Image #219 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00221/study11/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1 11 13] ['Enlarged Cardiomediastinum', 'Pleural Other', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Probabilities: [0.63 0.66]\n",
      "      \n",
      "      \n",
      "<<< Image #220 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00221/study14/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  8 10] ['Lung Opacity', 'Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #221 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00221/study12/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1 11] ['Enlarged Cardiomediastinum', 'Pleural Other']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.53]\n",
      "      \n",
      "      \n",
      "<<< Image #222 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00221/study13/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  5 11] ['Enlarged Cardiomediastinum', 'Edema', 'Pleural Other']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.61]\n",
      "      \n",
      "      \n",
      "<<< Image #223 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00221/study2/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  8 10 13] ['Lung Opacity', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.66 0.61 0.9 ]\n",
      "      \n",
      "      \n",
      "<<< Image #224 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00221/study8/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  9 10] ['Enlarged Cardiomediastinum', 'Pneumothorax', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.54]\n",
      "      \n",
      "      \n",
      "<<< Image #225 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00221/study3/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  9 10 13] ['Cardiomegaly', 'Pneumothorax', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 13] ['Lung Opacity', 'Support Devices']\n",
      "Probabilities: [0.64 0.84]\n",
      "      \n",
      "      \n",
      "<<< Image #226 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00221/study6/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  9 10 13] ['Enlarged Cardiomediastinum', 'Pneumothorax', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 13] ['Lung Opacity', 'Support Devices']\n",
      "Probabilities: [0.53 0.84]\n",
      "      \n",
      "      \n",
      "<<< Image #227 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00221/study4/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  9 10 13] ['Cardiomegaly', 'Pneumothorax', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.63 0.58 0.94]\n",
      "      \n",
      "      \n",
      "<<< Image #228 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00221/study7/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 9 10 13] ['Pneumothorax', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.6  0.5  0.56]\n",
      "      \n",
      "      \n",
      "<<< Image #229 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00221/study5/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  9 10 13] ['Cardiomegaly', 'Pneumothorax', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.66 0.59 0.71]\n",
      "      \n",
      "      \n",
      "<<< Image #230 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00222/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 5 7] ['Cardiomegaly', 'Edema', 'Pneumonia']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #231 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00223/study1/view1_frontal.jpg\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.68]\n",
      "      \n",
      "      \n",
      "<<< Image #232 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00224/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 8 10] ['Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 8 13] ['Atelectasis', 'Support Devices']\n",
      "Probabilities: [0.51 0.51]\n",
      "      \n",
      "      \n",
      "<<< Image #233 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00225/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [4 7] ['Lung Lesion', 'Pneumonia']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #234 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00226/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.63]\n",
      "      \n",
      "      \n",
      "<<< Image #235 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00226/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 3 8] ['Cardiomegaly', 'Lung Opacity', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.52]\n",
      "      \n",
      "      \n",
      "<<< Image #236 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00227/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 8 10 12] ['Atelectasis', 'Pleural Effusion', 'Fracture']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10] ['Pleural Effusion']\n",
      "Probabilities: [0.78]\n",
      "      \n",
      "      \n",
      "<<< Image #237 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00228/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [12] ['Fracture']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.66]\n",
      "      \n",
      "      \n",
      "<<< Image #238 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00229/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  6  8 10 12] ['Cardiomegaly', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Fracture']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 13] ['Lung Opacity', 'Support Devices']\n",
      "Probabilities: [0.5  0.52]\n",
      "      \n",
      "      \n",
      "<<< Image #239 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00230/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #240 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00231/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  8 10 12 13] ['Lung Opacity', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Fracture', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.65 0.59 0.62]\n",
      "      \n",
      "      \n",
      "<<< Image #241 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00232/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 7] ['Lung Opacity', 'Pneumonia']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.52]\n",
      "      \n",
      "      \n",
      "<<< Image #242 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00233/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.65]\n",
      "      \n",
      "      \n",
      "<<< Image #243 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00234/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.58]\n",
      "      \n",
      "      \n",
      "<<< Image #244 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00235/study11/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [10] ['Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Probabilities: [0.55 0.69]\n",
      "      \n",
      "      \n",
      "<<< Image #245 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00235/study1/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  8 10] ['Cardiomegaly', 'Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2  3 10 13] ['Cardiomegaly', 'Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.52 0.54 0.75 0.91]\n",
      "      \n",
      "      \n",
      "<<< Image #246 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00235/study10/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 8 10] ['Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.62 0.69 0.62]\n",
      "      \n",
      "      \n",
      "<<< Image #247 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00235/study3/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  7  8 10 13] ['Lung Opacity', 'Pneumonia', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 5 13] ['Edema', 'Support Devices']\n",
      "Probabilities: [0.7  0.93]\n",
      "      \n",
      "      \n",
      "<<< Image #248 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00235/study9/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 8 10 13] ['Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.51 0.9 ]\n",
      "      \n",
      "      \n",
      "<<< Image #249 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00235/study6/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  9 13] ['Lung Opacity', 'Pneumothorax', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.56 0.57 0.94]\n",
      "      \n",
      "      \n",
      "<<< Image #250 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00235/study2/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.61 0.91 0.95]\n",
      "      \n",
      "      \n",
      "<<< Image #251 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00235/study4/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  8  9 13] ['Enlarged Cardiomediastinum', 'Atelectasis', 'Pneumothorax', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.56 0.53 0.92]\n",
      "      \n",
      "      \n",
      "<<< Image #252 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00235/study13/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5 10 13] ['Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.61 0.77 0.72]\n",
      "      \n",
      "      \n",
      "<<< Image #253 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00235/study12/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5  6  8 10 13] ['Lung Opacity', 'Edema', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.66 0.86 0.91]\n",
      "      \n",
      "      \n",
      "<<< Image #254 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00235/study5/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  8  9 13] ['Lung Opacity', 'Atelectasis', 'Pneumothorax', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.55 0.65 0.95]\n",
      "      \n",
      "      \n",
      "<<< Image #255 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00235/study14/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5 10 13] ['Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.62 0.8  0.93]\n",
      "      \n",
      "      \n",
      "<<< Image #256 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00235/study7/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 6 8] ['Lung Opacity', 'Consolidation', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.59 0.63 0.82]\n",
      "      \n",
      "      \n",
      "<<< Image #257 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00235/study8/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  8 13] ['Lung Opacity', 'Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.68 0.58 0.72]\n",
      "      \n",
      "      \n",
      "<<< Image #258 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00236/study1/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  7 10] ['Cardiomegaly', 'Pneumonia', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.71 0.56 0.76 0.89]\n",
      "      \n",
      "      \n",
      "<<< Image #259 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00236/study2/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  4  7 10 13] ['Cardiomegaly', 'Lung Opacity', 'Lung Lesion', 'Pneumonia', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.64 0.76 0.88]\n",
      "      \n",
      "      \n",
      "<<< Image #260 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00237/study10/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  6  8 10 13] ['Cardiomegaly', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 5 10 13] ['Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.52 0.74 0.93]\n",
      "      \n",
      "      \n",
      "<<< Image #261 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00237/study1/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  7  8 10 13] ['Lung Opacity', 'Consolidation', 'Pneumonia', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  8 10 13] ['Lung Opacity', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.56 0.5  0.85 0.92]\n",
      "      \n",
      "      \n",
      "<<< Image #262 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00237/study17/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 6  8 10] ['Consolidation', 'Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.52 0.79 0.81]\n",
      "      \n",
      "      \n",
      "<<< Image #263 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00237/study2/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  7  8 10 13] ['Lung Opacity', 'Consolidation', 'Pneumonia', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.52 0.53 0.85 0.9 ]\n",
      "      \n",
      "      \n",
      "<<< Image #264 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00237/study7/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  8 13] ['Cardiomegaly', 'Lung Opacity', 'Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.58 0.53 0.73 0.88]\n",
      "      \n",
      "      \n",
      "<<< Image #265 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00237/study5/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  6  8 10 13] ['Cardiomegaly', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.55 0.81 0.95]\n",
      "      \n",
      "      \n",
      "<<< Image #266 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00237/study3/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  3  5 13] ['Enlarged Cardiomediastinum', 'Lung Opacity', 'Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.54 0.84 0.95]\n",
      "      \n",
      "      \n",
      "<<< Image #267 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00237/study15/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  6  8 10 13] ['Cardiomegaly', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.74 0.77]\n",
      "      \n",
      "      \n",
      "<<< Image #268 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00237/study14/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  6  8 10 13] ['Cardiomegaly', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.65 0.78 0.86]\n",
      "      \n",
      "      \n",
      "<<< Image #269 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00237/study11/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.58 0.83 0.87]\n",
      "      \n",
      "      \n",
      "<<< Image #270 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00237/study19/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  6  8 10 13] ['Cardiomegaly', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.61 0.81 0.89]\n",
      "      \n",
      "      \n",
      "<<< Image #271 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00237/study16/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3 10 13] ['Cardiomegaly', 'Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.57 0.76 0.86]\n",
      "      \n",
      "      \n",
      "<<< Image #272 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00237/study6/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  6  8 13] ['Cardiomegaly', 'Consolidation', 'Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.57 0.84]\n",
      "      \n",
      "      \n",
      "<<< Image #273 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00237/study12/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5  8 10 13] ['Edema', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.59 0.74 0.9 ]\n",
      "      \n",
      "      \n",
      "<<< Image #274 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00237/study4/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.67 0.92]\n",
      "      \n",
      "      \n",
      "<<< Image #275 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00237/study8/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  8 10 13] ['Lung Opacity', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.8  0.87]\n",
      "      \n",
      "      \n",
      "<<< Image #276 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00237/study13/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  6 10] ['Cardiomegaly', 'Consolidation', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.54 0.69 0.81]\n",
      "      \n",
      "      \n",
      "<<< Image #277 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00237/study9/view1_frontal.jpg\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  6  8 13] ['Cardiomegaly', 'Consolidation', 'Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.57 0.51 0.73 0.91]\n",
      "      \n",
      "      \n",
      "<<< Image #278 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00237/study18/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 6  7 10 13] ['Consolidation', 'Pneumonia', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.5  0.72 0.88]\n",
      "      \n",
      "      \n",
      "<<< Image #279 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00238/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  8 10 11] ['Lung Opacity', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Pleural Other']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10] ['Pleural Effusion']\n",
      "Probabilities: [0.6]\n",
      "      \n",
      "      \n",
      "<<< Image #280 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00239/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.69]\n",
      "      \n",
      "      \n",
      "<<< Image #281 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00240/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [7] ['Pneumonia']\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.6]\n",
      "      \n",
      "      \n",
      "<<< Image #282 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00241/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.68]\n",
      "      \n",
      "      \n",
      "<<< Image #283 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00242/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #284 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00243/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #285 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00244/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [10] ['Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #286 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00245/study3/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  9 10] ['Lung Opacity', 'Consolidation', 'Pneumothorax', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10] ['Pleural Effusion']\n",
      "Probabilities: [0.66]\n",
      "      \n",
      "      \n",
      "<<< Image #287 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00245/study2/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  6 10] ['Enlarged Cardiomediastinum', 'Consolidation', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Probabilities: [0.52 0.69]\n",
      "      \n",
      "      \n",
      "<<< Image #288 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00245/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [10] ['Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Probabilities: [0.54 0.7 ]\n",
      "      \n",
      "      \n",
      "<<< Image #289 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00246/study2/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3 11 13] ['Cardiomegaly', 'Lung Opacity', 'Pleural Other', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.67 0.79]\n",
      "      \n",
      "      \n",
      "<<< Image #290 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00246/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 5] ['Cardiomegaly', 'Edema']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.85 0.92]\n",
      "      \n",
      "      \n",
      "<<< Image #291 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00247/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.91]\n",
      "      \n",
      "      \n",
      "<<< Image #292 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00248/study2/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  5  6  7 10 13] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Consolidation', 'Pneumonia', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 13] ['Lung Opacity', 'Edema', 'Support Devices']\n",
      "Probabilities: [0.6  0.75 0.94]\n",
      "      \n",
      "      \n",
      "<<< Image #293 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00248/study3/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.59 0.65 0.93]\n",
      "      \n",
      "      \n",
      "<<< Image #294 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00248/study1/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5  6 10] ['Edema', 'Consolidation', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.7  0.87 0.56 0.69]\n",
      "      \n",
      "      \n",
      "<<< Image #295 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00249/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  6  8 11] ['Cardiomegaly', 'Lung Opacity', 'Consolidation', 'Atelectasis', 'Pleural Other']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.58]\n",
      "      \n",
      "      \n",
      "<<< Image #296 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00249/study5/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5  6 13] ['Edema', 'Consolidation', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.69 0.69 0.58 0.89]\n",
      "      \n",
      "      \n",
      "<<< Image #297 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00249/study4/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  4  7 13] ['Lung Opacity', 'Lung Lesion', 'Pneumonia', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 13] ['Lung Opacity', 'Edema', 'Support Devices']\n",
      "Probabilities: [0.7  0.69 0.65]\n",
      "      \n",
      "      \n",
      "<<< Image #298 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00249/study6/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.72 0.59 0.73 0.88]\n",
      "      \n",
      "      \n",
      "<<< Image #299 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00249/study2/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [1 3 6] ['Enlarged Cardiomediastinum', 'Lung Opacity', 'Consolidation']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #300 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00249/study9/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  3  6 10 11 13] ['Enlarged Cardiomediastinum', 'Lung Opacity', 'Consolidation', 'Pleural Effusion', 'Pleural Other', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.73 0.6  0.94]\n",
      "      \n",
      "      \n",
      "<<< Image #301 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00249/study7/view1_frontal.jpg\n",
      "1/3\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 6 10 13] ['Consolidation', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.72 0.91 0.92]\n",
      "      \n",
      "      \n",
      "<<< Image #302 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00249/study8/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6 10 11 13] ['Lung Opacity', 'Consolidation', 'Pleural Effusion', 'Pleural Other', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.66 0.56 0.81 0.95]\n",
      "      \n",
      "      \n",
      "<<< Image #303 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00249/study3/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.74 0.84 0.75]\n",
      "      \n",
      "      \n",
      "<<< Image #304 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00250/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2] ['Cardiomegaly']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 13] ['Lung Opacity', 'Support Devices']\n",
      "Probabilities: [0.6  0.75]\n",
      "      \n",
      "      \n",
      "<<< Image #305 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00250/study11/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.6  0.89 0.87]\n",
      "      \n",
      "      \n",
      "<<< Image #306 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00250/study2/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  5  8 10 13] ['Cardiomegaly', 'Edema', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.8  0.88]\n",
      "      \n",
      "      \n",
      "<<< Image #307 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00250/study4/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 8 10 13] ['Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.73 0.84]\n",
      "      \n",
      "      \n",
      "<<< Image #308 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00250/study10/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.58 0.86 0.78]\n",
      "      \n",
      "      \n",
      "<<< Image #309 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00250/study7/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.59 0.8  0.87]\n",
      "      \n",
      "      \n",
      "<<< Image #310 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00250/study5/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5 10] ['Lung Opacity', 'Edema', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.63 0.82 0.77]\n",
      "      \n",
      "      \n",
      "<<< Image #311 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00250/study6/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 6  8 10] ['Consolidation', 'Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.64 0.71 0.77]\n",
      "      \n",
      "      \n",
      "<<< Image #312 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00250/study3/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 8 10] ['Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.52 0.73 0.87]\n",
      "      \n",
      "      \n",
      "<<< Image #313 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00250/study8/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  8 10] ['Lung Opacity', 'Consolidation', 'Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.85 0.77]\n",
      "      \n",
      "      \n",
      "<<< Image #314 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00250/study9/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 13] ['Lung Opacity', 'Support Devices']\n",
      "Probabilities: [0.51 0.79]\n",
      "      \n",
      "      \n",
      "<<< Image #315 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00251/study5/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  5 10] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10] ['Lung Opacity', 'Edema', 'Pleural Effusion']\n",
      "Probabilities: [0.61 0.56 0.8 ]\n",
      "      \n",
      "      \n",
      "<<< Image #316 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00251/study2/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [6] ['Consolidation']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 13] ['Lung Opacity', 'Edema', 'Support Devices']\n",
      "Probabilities: [0.73 0.79 0.92]\n",
      "      \n",
      "      \n",
      "<<< Image #317 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00251/study7/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 5] ['Cardiomegaly', 'Edema']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3 5] ['Lung Opacity', 'Edema']\n",
      "Probabilities: [0.6  0.56]\n",
      "      \n",
      "      \n",
      "<<< Image #318 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00251/study4/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  5 13] ['Cardiomegaly', 'Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 5 13] ['Edema', 'Support Devices']\n",
      "Probabilities: [0.6  0.91]\n",
      "      \n",
      "      \n",
      "<<< Image #319 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00251/study3/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  2  3  5 13] ['Enlarged Cardiomediastinum', 'Cardiomegaly', 'Lung Opacity', 'Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3 5] ['Lung Opacity', 'Edema']\n",
      "Probabilities: [0.68 0.67]\n",
      "      \n",
      "      \n",
      "<<< Image #320 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00251/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 5 7] ['Lung Opacity', 'Edema', 'Pneumonia']\n",
      "Uncertainties: [] []\n",
      "Prediction: [2 3 5] ['Cardiomegaly', 'Lung Opacity', 'Edema']\n",
      "Probabilities: [0.56 0.71 0.85]\n",
      "      \n",
      "      \n",
      "<<< Image #321 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00251/study8/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [1] ['Enlarged Cardiomediastinum']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.56]\n",
      "      \n",
      "      \n",
      "<<< Image #322 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00251/study6/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 3 5] ['Cardiomegaly', 'Lung Opacity', 'Edema']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3 5] ['Lung Opacity', 'Edema']\n",
      "Probabilities: [0.65 0.87]\n",
      "      \n",
      "      \n",
      "<<< Image #323 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00252/study3/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  8 10 13] ['Lung Opacity', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.63 0.91 0.78]\n",
      "      \n",
      "      \n",
      "<<< Image #324 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00252/study4/view1_frontal.jpg\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.57 0.97 0.72]\n",
      "      \n",
      "      \n",
      "<<< Image #325 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00252/study2/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  8 10 13] ['Lung Opacity', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  8 10 13] ['Lung Opacity', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.58 0.51 0.94 0.7 ]\n",
      "      \n",
      "      \n",
      "<<< Image #326 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00252/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  8 10 13] ['Lung Opacity', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.6  0.87 0.74]\n",
      "      \n",
      "      \n",
      "<<< Image #327 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00253/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 6 8] ['Lung Opacity', 'Consolidation', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.67]\n",
      "      \n",
      "      \n",
      "<<< Image #328 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00253/study2/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #329 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00254/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.54]\n",
      "      \n",
      "      \n",
      "<<< Image #330 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00255/study5/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [4 9] ['Lung Lesion', 'Pneumothorax']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Probabilities: [0.58 0.74]\n",
      "      \n",
      "      \n",
      "<<< Image #331 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00255/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [4] ['Lung Lesion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2  3 10] ['Cardiomegaly', 'Lung Opacity', 'Pleural Effusion']\n",
      "Probabilities: [0.73 0.62 0.61]\n",
      "      \n",
      "      \n",
      "<<< Image #332 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00255/study2/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  4 10] ['Cardiomegaly', 'Lung Opacity', 'Lung Lesion', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.7  0.75 0.82]\n",
      "      \n",
      "      \n",
      "<<< Image #333 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00255/study11/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  3  5  6  7 10 13] ['Enlarged Cardiomediastinum', 'Lung Opacity', 'Edema', 'Consolidation', 'Pneumonia', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.7  0.85 0.71]\n",
      "      \n",
      "      \n",
      "<<< Image #334 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00255/study8/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  8 10] ['Lung Opacity', 'Consolidation', 'Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.64 0.9  0.65]\n",
      "      \n",
      "      \n",
      "<<< Image #335 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00255/study7/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  4  5 10 13] ['Cardiomegaly', 'Lung Opacity', 'Lung Lesion', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.64 0.65 0.53]\n",
      "      \n",
      "      \n",
      "<<< Image #336 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00255/study14/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  4  6  7 11] ['Lung Opacity', 'Lung Lesion', 'Consolidation', 'Pneumonia', 'Pleural Other']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.63 0.65 0.54]\n",
      "      \n",
      "      \n",
      "<<< Image #337 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00255/study13/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  3  4  8 10] ['Enlarged Cardiomediastinum', 'Lung Opacity', 'Lung Lesion', 'Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.74 0.7  0.57 0.83]\n",
      "      \n",
      "      \n",
      "<<< Image #338 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00255/study3/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  7  8 10] ['Lung Opacity', 'Pneumonia', 'Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.6  0.69 0.51]\n",
      "      \n",
      "      \n",
      "<<< Image #339 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00255/study12/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3 10 11 13] ['Cardiomegaly', 'Lung Opacity', 'Pleural Effusion', 'Pleural Other', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.64 0.83 0.56]\n",
      "      \n",
      "      \n",
      "<<< Image #340 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00255/study4/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  4 10] ['Cardiomegaly', 'Lung Opacity', 'Lung Lesion', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Probabilities: [0.69 0.63]\n",
      "      \n",
      "      \n",
      "<<< Image #341 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00255/study9/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  4 10 13] ['Lung Opacity', 'Lung Lesion', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.59 0.81 0.71]\n",
      "      \n",
      "      \n",
      "<<< Image #342 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00255/study10/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  4 10 13] ['Lung Opacity', 'Lung Lesion', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.58 0.8  0.85]\n",
      "      \n",
      "      \n",
      "<<< Image #343 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00255/study6/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  5  9 10 13] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Pneumothorax', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [2 3] ['Cardiomegaly', 'Lung Opacity']\n",
      "Probabilities: [0.57 0.64]\n",
      "      \n",
      "      \n",
      "<<< Image #344 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00256/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 6 10 13] ['Consolidation', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.75]\n",
      "      \n",
      "      \n",
      "<<< Image #345 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00256/study2/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5 10 13] ['Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 5 13] ['Edema', 'Support Devices']\n",
      "Probabilities: [0.72 0.88]\n",
      "      \n",
      "      \n",
      "<<< Image #346 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00256/study5/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [10] ['Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 5 13] ['Edema', 'Support Devices']\n",
      "Probabilities: [0.65 0.94]\n",
      "      \n",
      "      \n",
      "<<< Image #347 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00256/study4/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5 13] ['Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 5 13] ['Edema', 'Support Devices']\n",
      "Probabilities: [0.69 0.86]\n",
      "      \n",
      "      \n",
      "<<< Image #348 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00256/study3/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5 13] ['Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.57 0.58 0.54 0.92]\n",
      "      \n",
      "      \n",
      "<<< Image #349 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00257/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.54]\n",
      "      \n",
      "      \n",
      "<<< Image #350 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00258/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [] []\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #351 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00259/study6/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 8 10 13] ['Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10] ['Pleural Effusion']\n",
      "Probabilities: [0.55]\n",
      "      \n",
      "      \n",
      "<<< Image #352 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00259/study10/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1 10 13] ['Enlarged Cardiomediastinum', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10] ['Pleural Effusion']\n",
      "Probabilities: [0.61]\n",
      "      \n",
      "      \n",
      "<<< Image #353 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00259/study7/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [13] ['Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10] ['Pleural Effusion']\n",
      "Probabilities: [0.68]\n",
      "      \n",
      "      \n",
      "<<< Image #354 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00259/study5/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 9 13] ['Pneumothorax', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10] ['Pleural Effusion']\n",
      "Probabilities: [0.57]\n",
      "      \n",
      "      \n",
      "<<< Image #355 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00259/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [9] ['Pneumothorax']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #356 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00259/study8/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10] ['Pleural Effusion']\n",
      "Probabilities: [0.73]\n",
      "      \n",
      "      \n",
      "<<< Image #357 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00259/study12/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  3 13] ['Enlarged Cardiomediastinum', 'Lung Opacity', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.55 0.69 0.67]\n",
      "      \n",
      "      \n",
      "<<< Image #358 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00259/study3/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.75 0.67]\n",
      "      \n",
      "      \n",
      "<<< Image #359 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00259/study4/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #360 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00259/study11/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 13] ['Lung Opacity', 'Support Devices']\n",
      "Probabilities: [0.56 0.56]\n",
      "      \n",
      "      \n",
      "<<< Image #361 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00259/study2/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 9 10 13] ['Pneumothorax', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.59 0.84]\n",
      "      \n",
      "      \n",
      "<<< Image #362 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00259/study14/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 9 13] ['Pneumothorax', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.5  0.59 0.5 ]\n",
      "      \n",
      "      \n",
      "<<< Image #363 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00259/study9/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1 10 13] ['Enlarged Cardiomediastinum', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.85 0.83]\n",
      "      \n",
      "      \n",
      "<<< Image #364 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00259/study13/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  9 13] ['Lung Opacity', 'Pneumothorax', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.54 0.61]\n",
      "      \n",
      "      \n",
      "<<< Image #365 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00260/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  8 10 13] ['Enlarged Cardiomediastinum', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.59 0.63 0.61]\n",
      "      \n",
      "      \n",
      "<<< Image #366 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00261/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [] []\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.64]\n",
      "      \n",
      "      \n",
      "<<< Image #367 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00261/study4/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 6] ['Cardiomegaly', 'Consolidation']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.59]\n",
      "      \n",
      "      \n",
      "<<< Image #368 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00261/study3/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [] []\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2  5 13] ['Cardiomegaly', 'Edema', 'Support Devices']\n",
      "Probabilities: [0.54 0.68 0.77]\n",
      "      \n",
      "      \n",
      "<<< Image #369 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00261/study5/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  7 10] ['Lung Opacity', 'Pneumonia', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Probabilities: [0.64 0.85]\n",
      "      \n",
      "      \n",
      "<<< Image #370 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00261/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 5] ['Lung Opacity', 'Edema']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 13] ['Lung Opacity', 'Edema', 'Support Devices']\n",
      "Probabilities: [0.8  0.75 0.61]\n",
      "      \n",
      "      \n",
      "<<< Image #371 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00262/study3/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [1 3 7 8] ['Enlarged Cardiomediastinum', 'Lung Opacity', 'Pneumonia', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.51]\n",
      "      \n",
      "      \n",
      "<<< Image #372 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00262/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #373 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00262/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 8 9] ['Lung Opacity', 'Atelectasis', 'Pneumothorax']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.93]\n",
      "      \n",
      "      \n",
      "<<< Image #374 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00263/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2 10 13] ['Cardiomegaly', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2 13] ['Cardiomegaly', 'Support Devices']\n",
      "Probabilities: [0.6  0.74]\n",
      "      \n",
      "      \n",
      "<<< Image #375 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00264/study2/view1_frontal.jpg\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [] []\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Probabilities: [0.53 0.75]\n",
      "      \n",
      "      \n",
      "<<< Image #376 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00264/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  3 13] ['Enlarged Cardiomediastinum', 'Lung Opacity', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.76]\n",
      "      \n",
      "      \n",
      "<<< Image #377 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00265/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #378 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00266/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [10 12] ['Pleural Effusion', 'Fracture']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.67 0.55 0.51]\n",
      "      \n",
      "      \n",
      "<<< Image #379 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00267/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [1] ['Enlarged Cardiomediastinum']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.55]\n",
      "      \n",
      "      \n",
      "<<< Image #380 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00267/study1/view2_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [1] ['Enlarged Cardiomediastinum']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.53]\n",
      "      \n",
      "      \n",
      "<<< Image #381 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00268/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [10] ['Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.55]\n",
      "      \n",
      "      \n",
      "<<< Image #382 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00268/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5  8 13] ['Lung Opacity', 'Edema', 'Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.93]\n",
      "      \n",
      "      \n",
      "<<< Image #383 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00269/study2/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  7 10] ['Lung Opacity', 'Pneumonia', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [2 5] ['Cardiomegaly', 'Edema']\n",
      "Probabilities: [0.54 0.65]\n",
      "      \n",
      "      \n",
      "<<< Image #384 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00269/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 6] ['Lung Opacity', 'Consolidation']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Probabilities: [0.54 0.76]\n",
      "      \n",
      "      \n",
      "<<< Image #385 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00270/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 8] ['Lung Opacity', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.63]\n",
      "      \n",
      "      \n",
      "<<< Image #386 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00270/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 8 13] ['Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.88]\n",
      "      \n",
      "      \n",
      "<<< Image #387 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00270/study3/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.86]\n",
      "      \n",
      "      \n",
      "<<< Image #388 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00271/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 3 6 8] ['Cardiomegaly', 'Lung Opacity', 'Consolidation', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.56]\n",
      "      \n",
      "      \n",
      "<<< Image #389 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00271/study2/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2] ['Cardiomegaly']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #390 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00272/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.51]\n",
      "      \n",
      "      \n",
      "<<< Image #391 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00273/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  8 10] ['Enlarged Cardiomediastinum', 'Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Probabilities: [0.66 0.8 ]\n",
      "      \n",
      "      \n",
      "<<< Image #392 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00273/study2/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  6  8 10] ['Cardiomegaly', 'Lung Opacity', 'Consolidation', 'Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.71 0.92 0.74]\n",
      "      \n",
      "      \n",
      "<<< Image #393 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00274/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 4] ['Lung Opacity', 'Lung Lesion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #394 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00275/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 8] ['Lung Opacity', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #395 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00276/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [] []\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #396 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00277/study2/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5 10 13] ['Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.89 0.93]\n",
      "      \n",
      "      \n",
      "<<< Image #397 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00277/study12/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 6 10 13] ['Consolidation', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.65 0.84]\n",
      "      \n",
      "      \n",
      "<<< Image #398 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00277/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5 10 13] ['Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.54 0.88 0.95]\n",
      "      \n",
      "      \n",
      "<<< Image #399 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00277/study9/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5 10 13] ['Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.5  0.59 0.92 0.93]\n",
      "      \n",
      "      \n",
      "<<< Image #400 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00277/study6/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  8 10 13] ['Lung Opacity', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  8 10 13] ['Lung Opacity', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.54 0.52 0.53 0.94]\n",
      "      \n",
      "      \n",
      "<<< Image #401 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00277/study4/view1_frontal.jpg\n",
      "1/4\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  8 10 13] ['Lung Opacity', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  8 10 13] ['Lung Opacity', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.59 0.54 0.5  0.92]\n",
      "      \n",
      "      \n",
      "<<< Image #402 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00277/study8/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5  6  8 10 13] ['Edema', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.56 0.6  0.9  0.94]\n",
      "      \n",
      "      \n",
      "<<< Image #403 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00277/study10/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5 10 13] ['Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.63 0.88 0.86]\n",
      "      \n",
      "      \n",
      "<<< Image #404 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00277/study13/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.92]\n",
      "      \n",
      "      \n",
      "<<< Image #405 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00277/study7/view1_frontal.jpg\n",
      "1/5\n",
      "2/5\n",
      "3/5\n",
      "4/5\n",
      "5/5\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5 13] ['Lung Opacity', 'Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5  8 10 13] ['Lung Opacity', 'Edema', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.55 0.54 0.54 0.8  0.88]\n",
      "      \n",
      "      \n",
      "<<< Image #406 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00277/study3/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.95]\n",
      "      \n",
      "      \n",
      "<<< Image #407 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00277/study11/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.55 0.58 0.79]\n",
      "      \n",
      "      \n",
      "<<< Image #408 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00277/study5/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5 13] ['Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.6  0.62 0.89]\n",
      "      \n",
      "      \n",
      "<<< Image #409 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00278/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 3 8] ['Cardiomegaly', 'Lung Opacity', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [2] ['Cardiomegaly']\n",
      "Probabilities: [0.63]\n",
      "      \n",
      "      \n",
      "<<< Image #410 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00278/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2 13] ['Cardiomegaly', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.63]\n",
      "      \n",
      "      \n",
      "<<< Image #411 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00279/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  9 13] ['Cardiomegaly', 'Pneumothorax', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Probabilities: [0.61 0.83]\n",
      "      \n",
      "      \n",
      "<<< Image #412 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00280/study4/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 8] ['Lung Opacity', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.63]\n",
      "      \n",
      "      \n",
      "<<< Image #413 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00280/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  8 10] ['Lung Opacity', 'Consolidation', 'Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #414 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00280/study2/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 5] ['Lung Opacity', 'Edema']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 5 13] ['Edema', 'Support Devices']\n",
      "Probabilities: [0.53 0.74]\n",
      "      \n",
      "      \n",
      "<<< Image #415 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00280/study5/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [1 8] ['Enlarged Cardiomediastinum', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.66]\n",
      "      \n",
      "      \n",
      "<<< Image #416 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00280/study3/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1 13] ['Enlarged Cardiomediastinum', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.78]\n",
      "      \n",
      "      \n",
      "<<< Image #417 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00281/study2/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [] []\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #418 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00281/study2/view2_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [] []\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #419 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00281/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.52]\n",
      "      \n",
      "      \n",
      "<<< Image #420 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00282/study2/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [9] ['Pneumothorax']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #421 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00282/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.53]\n",
      "      \n",
      "      \n",
      "<<< Image #422 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00283/study2/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [8] ['Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #423 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00283/study3/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [8] ['Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.58]\n",
      "      \n",
      "      \n",
      "<<< Image #424 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00283/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #425 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00283/study1/view2_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10] ['Pleural Effusion']\n",
      "Probabilities: [0.63]\n",
      "      \n",
      "      \n",
      "<<< Image #426 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00283/study4/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5 13] ['Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #427 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00284/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [0] ['No Finding']\n",
      "Probabilities: [0.62]\n",
      "      \n",
      "      \n",
      "<<< Image #428 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00285/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [1] ['Enlarged Cardiomediastinum']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.65]\n",
      "      \n",
      "      \n",
      "<<< Image #429 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00285/study4/view1_frontal.jpg\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.67]\n",
      "      \n",
      "      \n",
      "<<< Image #430 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00285/study3/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.51]\n",
      "      \n",
      "      \n",
      "<<< Image #431 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00285/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [4 5] ['Lung Lesion', 'Edema']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.6]\n",
      "      \n",
      "      \n",
      "<<< Image #432 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00286/study2/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5  6  8 10 13] ['Edema', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.57 0.84 0.97]\n",
      "      \n",
      "      \n",
      "<<< Image #433 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00286/study8/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.69 0.82 0.83]\n",
      "      \n",
      "      \n",
      "<<< Image #434 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00286/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 7 13] ['Pneumonia', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.79]\n",
      "      \n",
      "      \n",
      "<<< Image #435 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00286/study5/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.81]\n",
      "      \n",
      "      \n",
      "<<< Image #436 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00286/study4/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5 10] ['Edema', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.69 0.58 0.67 0.77]\n",
      "      \n",
      "      \n",
      "<<< Image #437 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00286/study6/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.73 0.59]\n",
      "      \n",
      "      \n",
      "<<< Image #438 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00286/study3/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5  6  8 10] ['Edema', 'Consolidation', 'Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.57 0.7  0.77 0.88]\n",
      "      \n",
      "      \n",
      "<<< Image #439 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00286/study7/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.55 0.55 0.65 0.89]\n",
      "      \n",
      "      \n",
      "<<< Image #440 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00286/study9/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.76 0.7  0.88]\n",
      "      \n",
      "      \n",
      "<<< Image #441 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00287/study6/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  8 10] ['Lung Opacity', 'Consolidation', 'Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  8 10 13] ['Lung Opacity', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.54 0.51 0.97 0.75]\n",
      "      \n",
      "      \n",
      "<<< Image #442 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00287/study1/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5  7  8 10 13] ['Lung Opacity', 'Edema', 'Pneumonia', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.6  0.52 0.96 0.84]\n",
      "      \n",
      "      \n",
      "<<< Image #443 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00287/study4/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  8 13] ['Lung Opacity', 'Consolidation', 'Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.6  0.67 0.93 0.9 ]\n",
      "      \n",
      "      \n",
      "<<< Image #444 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00287/study2/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5  7 10 13] ['Lung Opacity', 'Edema', 'Pneumonia', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.64 0.89 0.94]\n",
      "      \n",
      "      \n",
      "<<< Image #445 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00287/study5/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5 10] ['Edema', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.53 0.51 0.98 0.78]\n",
      "      \n",
      "      \n",
      "<<< Image #446 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00287/study3/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 6  8 13] ['Consolidation', 'Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.68 0.63 0.85]\n",
      "      \n",
      "      \n",
      "<<< Image #447 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00288/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [10] ['Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #448 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00289/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10] ['Pleural Effusion']\n",
      "Probabilities: [0.68]\n",
      "      \n",
      "      \n",
      "<<< Image #449 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00290/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [1 3 6 7 8] ['Enlarged Cardiomediastinum', 'Lung Opacity', 'Consolidation', 'Pneumonia', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.69]\n",
      "      \n",
      "      \n",
      "<<< Image #450 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00290/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  7  8  9 10 13] ['Lung Opacity', 'Pneumonia', 'Atelectasis', 'Pneumothorax', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.7  0.58 0.85]\n",
      "      \n",
      "      \n",
      "<<< Image #451 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00291/study5/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  8 10] ['Cardiomegaly', 'Lung Opacity', 'Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.56 0.76 0.52]\n",
      "      \n",
      "      \n",
      "<<< Image #452 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00291/study1/view1_frontal.jpg\n",
      "1/1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 6 10] ['Consolidation', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10] ['Pleural Effusion']\n",
      "Probabilities: [0.8]\n",
      "      \n",
      "      \n",
      "<<< Image #453 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00291/study4/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [] []\n",
      "Uncertainties: [] []\n",
      "Prediction: [10] ['Pleural Effusion']\n",
      "Probabilities: [0.51]\n",
      "      \n",
      "      \n",
      "<<< Image #454 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00291/study3/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [10] ['Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.59 0.65]\n",
      "      \n",
      "      \n",
      "<<< Image #455 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00291/study2/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  4  6 10] ['Enlarged Cardiomediastinum', 'Lung Lesion', 'Consolidation', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.88 0.52]\n",
      "      \n",
      "      \n",
      "<<< Image #456 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00291/study6/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5  8 10] ['Lung Opacity', 'Edema', 'Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.52 0.86 0.7 ]\n",
      "      \n",
      "      \n",
      "<<< Image #457 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00292/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #458 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00293/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2 10] ['Cardiomegaly', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  8 10] ['Lung Opacity', 'Atelectasis', 'Pleural Effusion']\n",
      "Probabilities: [0.67 0.52 0.72]\n",
      "      \n",
      "      \n",
      "<<< Image #459 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00294/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 6] ['Cardiomegaly', 'Consolidation']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 2 10] ['Cardiomegaly', 'Pleural Effusion']\n",
      "Probabilities: [0.6  0.57]\n",
      "      \n",
      "      \n",
      "<<< Image #460 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00294/study17/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 13] ['Lung Opacity', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 13] ['Lung Opacity', 'Support Devices']\n",
      "Probabilities: [0.56 0.94]\n",
      "      \n",
      "      \n",
      "<<< Image #461 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00294/study9/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 4 12 13] ['Lung Lesion', 'Fracture', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.75]\n",
      "      \n",
      "      \n",
      "<<< Image #462 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00294/study11/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2] ['Cardiomegaly']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #463 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00294/study18/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.94]\n",
      "      \n",
      "      \n",
      "<<< Image #464 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00294/study16/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 13] ['Lung Opacity', 'Support Devices']\n",
      "Probabilities: [0.63 0.98]\n",
      "      \n",
      "      \n",
      "<<< Image #465 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00294/study20/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2] ['Cardiomegaly']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.81]\n",
      "      \n",
      "      \n",
      "<<< Image #466 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00294/study6/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 3 5] ['Cardiomegaly', 'Lung Opacity', 'Edema']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 13] ['Lung Opacity', 'Support Devices']\n",
      "Probabilities: [0.53 0.94]\n",
      "      \n",
      "      \n",
      "<<< Image #467 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00294/study8/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2 12] ['Cardiomegaly', 'Fracture']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.86]\n",
      "      \n",
      "      \n",
      "<<< Image #468 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00294/study10/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 13] ['Lung Opacity', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.89]\n",
      "      \n",
      "      \n",
      "<<< Image #469 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00294/study19/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  8 13] ['Lung Opacity', 'Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.8]\n",
      "      \n",
      "      \n",
      "<<< Image #470 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00294/study7/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 3 5] ['Cardiomegaly', 'Lung Opacity', 'Edema']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.87]\n",
      "      \n",
      "      \n",
      "<<< Image #471 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00294/study4/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  5  6  8 13] ['Cardiomegaly', 'Edema', 'Consolidation', 'Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [3] ['Lung Opacity']\n",
      "Probabilities: [0.69]\n",
      "      \n",
      "      \n",
      "<<< Image #472 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00294/study12/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  8 12 13] ['Lung Opacity', 'Consolidation', 'Atelectasis', 'Fracture', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.54 0.64 0.96]\n",
      "      \n",
      "      \n",
      "<<< Image #473 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00294/study5/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [6 8] ['Consolidation', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.63 0.71 0.86]\n",
      "      \n",
      "      \n",
      "<<< Image #474 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00294/study2/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  3  5 13] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.64 0.85 0.86]\n",
      "      \n",
      "      \n",
      "<<< Image #475 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00294/study14/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 1  3 10 13] ['Enlarged Cardiomediastinum', 'Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.69 0.77 0.95]\n",
      "      \n",
      "      \n",
      "<<< Image #476 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00294/study3/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5 13] ['Lung Opacity', 'Edema', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.5  0.63 0.88]\n",
      "      \n",
      "      \n",
      "<<< Image #477 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00294/study13/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  8 13] ['Lung Opacity', 'Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 13] ['Lung Opacity', 'Support Devices']\n",
      "Probabilities: [0.58 0.97]\n",
      "      \n",
      "      \n",
      "<<< Image #478 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00294/study15/view1_frontal.jpg\n",
      "1/2\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 13] ['Lung Opacity', 'Support Devices']\n",
      "Probabilities: [0.63 0.92]\n",
      "      \n",
      "      \n",
      "<<< Image #479 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00295/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.85]\n",
      "      \n",
      "      \n",
      "<<< Image #480 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00296/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [1] ['Enlarged Cardiomediastinum']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #481 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00297/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [] []\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #482 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00298/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  4  6 10] ['Cardiomegaly', 'Lung Lesion', 'Consolidation', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Probabilities: [0.58 0.91]\n",
      "      \n",
      "      \n",
      "<<< Image #483 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00298/study5/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5  6  8 10 13] ['Lung Opacity', 'Edema', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.62 0.51 0.88 0.66]\n",
      "      \n",
      "      \n",
      "<<< Image #484 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00298/study2/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  6 10 13] ['Cardiomegaly', 'Consolidation', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.64 0.84 0.61]\n",
      "      \n",
      "      \n",
      "<<< Image #485 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00298/study6/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  8 10 13] ['Lung Opacity', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.6  0.51 0.68 0.91]\n",
      "      \n",
      "      \n",
      "<<< Image #486 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00298/study4/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.59 0.71 0.77 0.71]\n",
      "      \n",
      "      \n",
      "<<< Image #487 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00298/study3/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  5  6  8 10 13] ['Lung Opacity', 'Edema', 'Consolidation', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  5 10 13] ['Lung Opacity', 'Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.61 0.74 0.8  0.92]\n",
      "      \n",
      "      \n",
      "<<< Image #488 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00299/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 8 13] ['Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.8]\n",
      "      \n",
      "      \n",
      "<<< Image #489 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00299/study2/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 5 6 8] ['Lung Opacity', 'Edema', 'Consolidation', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #490 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00300/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [12] ['Fracture']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #491 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00301/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.87]\n",
      "      \n",
      "      \n",
      "<<< Image #492 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00302/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 0 13] ['No Finding', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.89]\n",
      "      \n",
      "      \n",
      "<<< Image #493 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00303/study1/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 2  5  8 10] ['Cardiomegaly', 'Edema', 'Atelectasis', 'Pleural Effusion']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 5 10 13] ['Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.68 0.53 0.58]\n",
      "      \n",
      "      \n",
      "<<< Image #494 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00303/study2/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 5 10 13] ['Edema', 'Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.74]\n",
      "      \n",
      "      \n",
      "<<< Image #495 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00304/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [0] ['No Finding']\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #496 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00305/study1/view1_frontal.jpg\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [] []\n",
      "Uncertainties: [] []\n",
      "Prediction: [] []\n",
      "Probabilities: []\n",
      "      \n",
      "      \n",
      "<<< Image #497 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00306/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [2 3 5 7 8] ['Cardiomegaly', 'Lung Opacity', 'Edema', 'Pneumonia', 'Atelectasis']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.76]\n",
      "      \n",
      "      \n",
      "<<< Image #498 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00307/study3/view1_frontal.jpg\n",
      "1/4\n",
      "2/4\n",
      "3/4\n",
      "4/4\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [10 13] ['Pleural Effusion', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3  8 10 13] ['Lung Opacity', 'Atelectasis', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.59 0.52 0.74 0.58]\n",
      "      \n",
      "      \n",
      "<<< Image #499 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00307/study2/view1_frontal.jpg\n",
      "1/3\n",
      "2/3\n",
      "3/3\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [ 3  6  8 13] ['Lung Opacity', 'Consolidation', 'Atelectasis', 'Support Devices']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10 13] ['Lung Opacity', 'Pleural Effusion', 'Support Devices']\n",
      "Probabilities: [0.65 0.68 0.94]\n",
      "      \n",
      "      \n",
      "<<< Image #500 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00307/study1/view1_frontal.jpg\n",
      "1/1\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [1] ['Enlarged Cardiomediastinum']\n",
      "Uncertainties: [] []\n",
      "Prediction: [13] ['Support Devices']\n",
      "Probabilities: [0.53]\n"
     ]
    }
   ],
   "source": [
    "correct_idx = []\n",
    "incorrect_idx = []\n",
    "\n",
    "for idx in range(500):\n",
    "    imid = idx\n",
    "    print('      ')\n",
    "    print('      ')\n",
    "    print('<<< Image #{} >>>'.format(idx + 1))\n",
    "    path1 = './' + dtest.Path[imid]\n",
    "    print('Path: {}'.format(path1))\n",
    "    image_orig = Image.open(path1).convert('RGB')\n",
    "    image_transformed = transform(image_orig).unsqueeze(0)\n",
    "\n",
    "    true_labels_vec = dtest.iloc[imid,1:].to_numpy().astype(int)\n",
    "    true_labels = np.argwhere(true_labels_vec==1).flatten()\n",
    "    true_labels_uncertain = np.argwhere((-1)*true_labels_vec==1).flatten()\n",
    "    \n",
    "    # run model\n",
    "    out = model(image_transformed).cpu()\n",
    "    out_np = out.detach().numpy().squeeze()\n",
    "\n",
    "    pred_labels_binary = findings(out_np)\n",
    "    pred_labels_p = np.round(out_np[pred_labels_binary], 2)\n",
    "\n",
    "    # generate arguments for backward() function corresponding to classes with p>0.5\n",
    "    l = len(pred_labels_binary)\n",
    "    args = []\n",
    "    for ii in pred_labels_binary:\n",
    "        backward_arg = torch.zeros(1,14)\n",
    "        backward_arg[0,ii] = 1\n",
    "        args.append(backward_arg)\n",
    "    \n",
    "    # generate gradCAMs\n",
    "    hmap_list = []\n",
    "    cam_list = []\n",
    "\n",
    "    img_hmap = np.transpose(image_transformed.squeeze().numpy(),(1,2,0))\n",
    "\n",
    "    # plot\n",
    "    arglen = len(args)\n",
    "    kwargs = dict(xticks=[],yticks=[])\n",
    "\n",
    "    # fig, ax = plt.subplots(1, arglen, figsize=(5*arglen,5), subplot_kw=kwargs)\n",
    "    if arglen==1:\n",
    "        ax = [ax]\n",
    "    # plt.subplots_adjust(wspace=0.1, hspace=0.1)\n",
    "\n",
    "    for k, a in enumerate(args):\n",
    "        print('{}/{}'.format(k+1,arglen))\n",
    "        out.backward(a, retain_graph=True)\n",
    "\n",
    "        gradients = stored_grads[0].clone()\n",
    "        activations = stored_fpass[0].clone().unsqueeze(0)\n",
    "        activations = activations.detach()\n",
    "\n",
    "        pooled_gradients = torch.mean(gradients, dim=[0, 2, 3])\n",
    "\n",
    "        for j in range(gradients.shape[1]):\n",
    "            activations[:, j, :, :] *= pooled_gradients[j]\n",
    "\n",
    "        heatmap = torch.sum(activations, dim=1).squeeze().cpu()\n",
    "        heatmap = np.maximum(heatmap, 0)\n",
    "        heatmap /= torch.max(heatmap)\n",
    "\n",
    "        hmap_list.append(heatmap)\n",
    "    \n",
    "        #ax.flatten()[k].imshow(heatmap)\n",
    "    \n",
    "\n",
    "        hmap = heatmap.numpy()\n",
    "        heatmap1 = cv2.resize(hmap, (img_hmap.shape[1], img_hmap.shape[0]))\n",
    "        heatmap1 = np.uint8(-255 * heatmap1 + 255)\n",
    "        heatmap1 = cv2.applyColorMap(heatmap1, cv2.COLORMAP_JET)\n",
    "\n",
    "        supim = heatmap1 * 0.002 + img_hmap\n",
    "        supim = supim / supim.max()\n",
    "    \n",
    "        cam_list.append(supim)\n",
    "    \n",
    "        #ax[k].imshow(supim)\n",
    "        #ax[k].set_title(dtrain.columns[1:][pred_labels_binary[k]])\n",
    "        \n",
    "    GT = dtest.columns[1:][true_labels].to_list()\n",
    "    PRED = dtest.columns[1:][pred_labels_binary].to_list()\n",
    "    result = all(elem in GT for elem in PRED)\n",
    "    \n",
    "    if result:\n",
    "        correct_idx.append(idx)\n",
    "    else:\n",
    "        incorrect_idx.append(idx)\n",
    "\n",
    "    print('~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~')\n",
    "    print('True labels:', true_labels, dtest.columns[1:][true_labels].to_list())\n",
    "    print('Uncertainties:', true_labels_uncertain, dtest.columns[1:][true_labels_uncertain].to_list())\n",
    "    print('Prediction:', pred_labels_binary, dtest.columns[1:][pred_labels_binary].to_list())\n",
    "    print('Probabilities:', pred_labels_p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 3, 4, 7, 8, 9, 10, 11, 13, 14, 15, 17, 19, 20, 21, 22, 24, 25, 26, 28, 32, 33, 35, 38, 39, 41, 44, 46, 47, 50, 52, 56, 57, 58, 59, 60, 61, 62, 63, 64, 66, 68, 78, 79, 81, 83, 84, 87, 91, 92, 94, 96, 97, 98, 103, 104, 105, 107, 108, 111, 113, 117, 118, 120, 121, 123, 124, 128, 131, 132, 133, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 149, 150, 151, 152, 156, 157, 160, 161, 162, 163, 166, 167, 168, 169, 171, 172, 173, 174, 179, 180, 181, 183, 184, 187, 188, 189, 195, 198, 202, 203, 206, 207, 209, 210, 212, 213, 214, 215, 216, 219, 222, 229, 230, 232, 235, 238, 239, 240, 241, 242, 247, 249, 252, 258, 260, 266, 268, 270, 273, 274, 278, 279, 281, 282, 283, 284, 285, 290, 291, 292, 294, 298, 299, 302, 305, 306, 314, 317, 318, 321, 322, 323, 324, 325, 327, 332, 334, 338, 339, 340, 341, 342, 343, 344, 346, 348, 349, 350, 351, 354, 357, 358, 359, 360, 362, 368, 370, 371, 373, 375, 376, 381, 385, 386, 388, 389, 392, 393, 394, 395, 396, 399, 400, 405, 406, 408, 409, 412, 415, 416, 417, 418, 419, 421, 423, 425, 426, 428, 429, 432, 433, 434, 436, 439, 441, 443, 446, 447, 448, 449, 451, 456, 459, 460, 461, 462, 463, 467, 468, 474, 476, 477, 478, 479, 480, 482, 485, 486, 487, 488, 489, 490, 491, 493, 494, 495]\n",
      "[1, 2, 5, 6, 12, 16, 18, 23, 27, 29, 30, 31, 34, 36, 37, 40, 42, 43, 45, 48, 49, 51, 53, 54, 55, 65, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 80, 82, 85, 86, 88, 89, 90, 93, 95, 99, 100, 101, 102, 106, 109, 110, 112, 114, 115, 116, 119, 122, 125, 126, 127, 129, 130, 134, 147, 148, 153, 154, 155, 158, 159, 164, 165, 170, 175, 176, 177, 178, 182, 185, 186, 190, 191, 192, 193, 194, 196, 197, 199, 200, 201, 204, 205, 208, 211, 217, 218, 220, 221, 223, 224, 225, 226, 227, 228, 231, 233, 234, 236, 237, 243, 244, 245, 246, 248, 250, 251, 253, 254, 255, 256, 257, 259, 261, 262, 263, 264, 265, 267, 269, 271, 272, 275, 276, 277, 280, 286, 287, 288, 289, 293, 295, 296, 297, 300, 301, 303, 304, 307, 308, 309, 310, 311, 312, 313, 315, 316, 319, 320, 326, 328, 329, 330, 331, 333, 335, 336, 337, 345, 347, 352, 353, 355, 356, 361, 363, 364, 365, 366, 367, 369, 372, 374, 377, 378, 379, 380, 382, 383, 384, 387, 390, 391, 397, 398, 401, 402, 403, 404, 407, 410, 411, 413, 414, 420, 422, 424, 427, 430, 431, 435, 437, 438, 440, 442, 444, 445, 450, 452, 453, 454, 455, 457, 458, 464, 465, 466, 469, 470, 471, 472, 473, 475, 481, 483, 484, 492, 496, 497, 498, 499]\n"
     ]
    }
   ],
   "source": [
    "print(correct_idx)\n",
    "print(incorrect_idx)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Run Grad-CAM - One by One"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      \n",
      "      \n",
      "<<< Image #384 >>>\n",
      "Path: ./CheXpert-v1.0-small/train/patient00269/study1/view1_frontal.jpg\n",
      "1/2\n",
      "2/2\n",
      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
      "True labels: [3 6] ['Lung Opacity', 'Consolidation']\n",
      "Uncertainties: [] []\n",
      "Prediction: [ 3 10] ['Lung Opacity', 'Pleural Effusion']\n",
      "Probabilities: [0.54 0.76]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# get image and true labels\n",
    "imid = 383\n",
    "print('      ')\n",
    "print('      ')\n",
    "print('<<< Image #{} >>>'.format(imid + 1))\n",
    "\n",
    "path1 = './' + dtest.Path[imid]\n",
    "\n",
    "print('Path: {}'.format(path1))\n",
    "\n",
    "image_orig = Image.open(path1).convert('RGB')\n",
    "image_transformed = transform(image_orig).unsqueeze(0)\n",
    "\n",
    "true_labels_vec = dtest.iloc[imid,1:].to_numpy().astype(int)\n",
    "true_labels = np.argwhere(true_labels_vec==1).flatten()\n",
    "true_labels_uncertain = np.argwhere((-1)*true_labels_vec==1).flatten()\n",
    "\n",
    "# run model\n",
    "out = model(image_transformed).cpu()\n",
    "out_np = out.detach().numpy().squeeze()\n",
    "\n",
    "pred_labels_binary = findings(out_np)\n",
    "pred_labels_p = np.round(out_np[pred_labels_binary], 2)\n",
    "\n",
    "# generate arguments for backward() function corresponding to classes with p>0.5\n",
    "l = len(pred_labels_binary)\n",
    "args = []\n",
    "for ii in pred_labels_binary:\n",
    "    backward_arg = torch.zeros(1,14)\n",
    "    backward_arg[0,ii] = 1\n",
    "    args.append(backward_arg)\n",
    "    \n",
    "# generate gradCAMs\n",
    "hmap_list = []\n",
    "cam_list = []\n",
    "\n",
    "img_hmap = np.transpose(image_transformed.squeeze().numpy(),(1,2,0))\n",
    "\n",
    "# plot\n",
    "arglen = len(args)\n",
    "kwargs = dict(xticks=[],yticks=[])\n",
    "\n",
    "fig, ax = plt.subplots(1, arglen, figsize=(5*arglen,5), subplot_kw=kwargs)\n",
    "if arglen==1:\n",
    "    ax = [ax]\n",
    "plt.subplots_adjust(wspace=0.1, hspace=0.1)\n",
    "\n",
    "for k, a in enumerate(args):\n",
    "    print('{}/{}'.format(k+1,arglen))\n",
    "    out.backward(a, retain_graph=True)\n",
    "\n",
    "    gradients = stored_grads[0].clone()\n",
    "    activations = stored_fpass[0].clone().unsqueeze(0)\n",
    "    activations = activations.detach()\n",
    "\n",
    "    pooled_gradients = torch.mean(gradients, dim=[0, 2, 3])\n",
    "\n",
    "    for j in range(gradients.shape[1]):\n",
    "        activations[:, j, :, :] *= pooled_gradients[j]\n",
    "\n",
    "    heatmap = torch.sum(activations, dim=1).squeeze().cpu()\n",
    "    heatmap = np.maximum(heatmap, 0)\n",
    "    heatmap /= torch.max(heatmap)\n",
    "\n",
    "    hmap_list.append(heatmap)\n",
    "    \n",
    "    #ax.flatten()[k].imshow(heatmap)\n",
    "    \n",
    "\n",
    "    hmap = heatmap.numpy()\n",
    "    heatmap1 = cv2.resize(hmap, (img_hmap.shape[1], img_hmap.shape[0]))\n",
    "    heatmap1 = np.uint8(-255 * heatmap1 + 255)\n",
    "    heatmap1 = cv2.applyColorMap(heatmap1, cv2.COLORMAP_JET)\n",
    "\n",
    "    supim = heatmap1 * 0.002 + img_hmap\n",
    "    supim = supim / supim.max()\n",
    "    \n",
    "    cam_list.append(supim)\n",
    "    \n",
    "    ax[k].imshow(supim)\n",
    "    ax[k].set_title(dtest.columns[1:][pred_labels_binary[k]])\n",
    "\n",
    "print('~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~')\n",
    "print('True labels:', true_labels, dtest.columns[1:][true_labels].to_list())\n",
    "print('Uncertainties:', true_labels_uncertain, dtest.columns[1:][true_labels_uncertain].to_list())\n",
    "print('Prediction:', pred_labels_binary, dtest.columns[1:][pred_labels_binary].to_list())\n",
    "print('Probabilities:', pred_labels_p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Original Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "imgOriginal = cv2.imread('./CheXpert-v1.0-small/train/patient00269/study1/view1_frontal.jpg', 1)\n",
    "imgOriginal = cv2.resize(imgOriginal, (256, 256))\n",
    "plt.imshow(imgOriginal)\n",
    "plt.plot()\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  }
 ],
 "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": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}