iiw_visualization_whdr_metrics.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.append('./util')\n",
    "import json\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import whdr_py3 as whdr\n",
    "import input_queues as iq\n",
    "import scipy as sp\n",
    "import tensorflow as tf\n",
    "import cnn_helpers as chlp\n",
    "\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# overall final results:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "is_sample = True\n",
    "data_dir = 'data/'\n",
    "batch_size = 8\n",
    "num_epochs = 2\n",
    "image_shape = [340, 340, 3]\n",
    "norm = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "if is_sample:\n",
    "    sample = 'sample_'\n",
    "else:\n",
    "    sample = ''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import training data:\n",
    "file = sample + 'data_iiw_train.csv'\n",
    "df_train = pd.read_csv(filepath_or_buffer=data_dir + file, sep=',', header=None,\n",
    "                       names=['img', 'json_label'])\n",
    "# complete image paths:\n",
    "df_train = data_dir + df_train\n",
    "\n",
    "# instantiate a data queue for feeding data in (mini) batches to cnn:\n",
    "data_train = iq.DataQueue(df=df_train, batch_size=batch_size,\n",
    "                          num_epochs=num_epochs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/udodehm/workspace/image_decomposition/input_queues.py:794: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  df_point_crop['x'] = (df_point_crop['x'] * img.shape[1] - x_start) / output_shape[1]\n",
      "/Users/udodehm/workspace/image_decomposition/input_queues.py:795: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  df_point_crop['y'] = (df_point_crop['y'] * img.shape[0] - y_start) / output_shape[0]\n",
      "/Users/udodehm/workspace/image_decomposition/input_queues.py:842: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  df_comparisons_crop_whdr['darker'] = df_comparisons_crop_whdr['darker']\n",
      "/Users/udodehm/workspace/image_decomposition/input_queues.py:844: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  df_comparisons_crop_whdr['darker'] = df_comparisons_crop_whdr['darker'].apply(lambda x: 0 if x=='E' else int(x))\n",
      "/Users/udodehm/.venvs/venv_tf/lib/python3.6/site-packages/pandas/core/frame.py:2352: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self[k1] = value[k2]\n",
      "/Users/udodehm/workspace/image_decomposition/input_queues.py:848: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  df_comparisons_crop_whdr['batch_nr'] = i\n"
     ]
    }
   ],
   "source": [
    "deq_train = data_train.dequeue()\n",
    "df_whdr, imgs, imgs_original, labels, labels_original = iq.next_batch_iiw(deq=deq_train, output_shape=image_shape, norm=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2.7182818284590451"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.36787944117144233"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.exp(1)**(-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-1.0000000031843104"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.log(0.36787944)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "p1 darker original: False\n",
      "0.4875026035157896\n",
      "p2 darker original: False\n",
      "0.4631621095276921\n",
      "p1 darker new     : -0.010500000000000023\n",
      "p2 darker new     : -0.030499999999999985\n",
      "p1 and p2 same    : 0.010500000000000023\n",
      "p1 darker new     : False\n",
      "p2 darker new     : False\n",
      "p1 and p2 same    : True\n",
      "propa p1 darker : 0.33317554972855834\n",
      "propa p2 darker : 0.32657823182218176\n",
      "propa p1/p2 same: 0.34024621844925984\n",
      "2.97007068308\n"
     ]
    }
   ],
   "source": [
    "sigmoid_gain = 1\n",
    "pp1=.2\n",
    "pp2=0.21\n",
    "delta = 0.1\n",
    "# original definition:\n",
    "darker1 = pp2 / pp1 - (1 + delta)\n",
    "darker2 = pp1 / pp2 - (1 + delta)\n",
    "print(f'p1 darker original: {darker1 > 0}')\n",
    "print(f'{1 / (1 + np.exp(- darker1))}')\n",
    "print(f'p2 darker original: {darker2 > 0}')\n",
    "\n",
    "print(f'{1 / (1 + np.exp(- darker2))}')\n",
    "\n",
    "# new definition:\n",
    "darker1new = pp2 - pp1 - (delta * (pp1 + pp2) / 2)\n",
    "darker2new = pp1 - pp2 - (delta * (pp1 + pp2) / 2)\n",
    "same12 = - np.abs(pp1 - pp2) + (delta * (pp1 + pp2) / 2)\n",
    "print(f'p1 darker new     : {darker1new}')\n",
    "print(f'p2 darker new     : {darker2new}')\n",
    "print(f'p1 and p2 same    : {same12}')\n",
    "print(f'p1 darker new     : {darker1new > 0}')\n",
    "print(f'p2 darker new     : {darker2new > 0}')\n",
    "print(f'p1 and p2 same    : {same12>0}')\n",
    "proba_total = np.exp(sigmoid_gain * darker1new) + np.exp(sigmoid_gain * darker2new) + np.exp(sigmoid_gain * same12)\n",
    "probap1 = np.exp(sigmoid_gain * darker1new) / proba_total\n",
    "probap2 = np.exp(sigmoid_gain * darker2new) / proba_total\n",
    "proba_same = np.exp(sigmoid_gain * same12) / proba_total\n",
    "print(f'propa p1 darker : {probap1}')\n",
    "print(f'propa p2 darker : {probap2}')\n",
    "print(f'propa p1/p2 same: {proba_same}')\n",
    "print(proba_total)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x11cfa2400>]"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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5eW5HERkSlbvIaWxtBUydgRk92u0oIkOichc5yVoLtZXoZGHiBSp3kVMa6qHlBMzSeruk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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1204fd908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sigmoid_gain = 3\n",
    "x = np.arange(-5, 5, 0.1)\n",
    "y = 1 / (1 + np.exp(-sigmoid_gain * x))\n",
    "plt.plot(x,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# convert images in batch to greyscale (1 cheannel -> mean):\n",
    "imgs_grey_tf = tf.reduce_mean(reflectance, axis=3)\n",
    "# select pixels which are compared with each other (comp_p1_batch contains\n",
    "# all pixels that represent point1 and comp_p2_batch contains all pixels\n",
    "# that represent point2 over all samples in the batch. Points in\n",
    "# comp_p1_batch and comp_p2_batch are in the same order (important for\n",
    "# comparison)):\n",
    "comp_p1_batch = tf.gather_nd(imgs_grey_tf, point1)\n",
    "comp_p2_batch = tf.gather_nd(imgs_grey_tf, point2)\n",
    "\n",
    "# define/convert to pixel threshold:\n",
    "comp_p1_batch = tf.maximum(comp_p1_batch, 1e-10)\n",
    "comp_p2_batch = tf.maximum(comp_p2_batch, 1e-10)\n",
    "\n",
    "assert comp_p1_batch.shape==comp_p2_batch.shape, 'Missmatch in point ' + \\\n",
    "       'comparison length: ' + \\\n",
    "       'comp_p1_batch.shape={}, '.format(comp_p1_batch.shape) + \\\n",
    "       'comp_p2_batch.shape={}.'.format(comp_p2_batch.shape)\n",
    "# init tensors for human comparison score:\n",
    "# pixel compare to approx. same darkness:\n",
    "comparisons_eq = tf.zeros_like(comp_p1_batch, dtype=tf.int32)\n",
    "# pixel 1 is darker than px 2:\n",
    "comparisons_p1_darker = tf.ones_like(comp_p1_batch, dtype=tf.int32)\n",
    "# pixel 2 is darker than px 1:\n",
    "comparisons_p2_darker = tf.ones_like(comp_p1_batch, dtype=tf.int32) * 2\n",
    "# select 1 if px 1 is darker than px 2:\n",
    "px1_darker = tf.where(condition=comp_p2_batch / comp_p1_batch > 1.0 + delta,\n",
    "                      x=comparisons_p1_darker, y=comparisons_eq)\n",
    "# select 2 if px 2 is darker than px 1:\n",
    "px2_darker = tf.where(condition=comp_p1_batch / comp_p2_batch > 1.0 + delta,\n",
    "                      x=comparisons_p2_darker, y=comparisons_eq)\n",
    "# combine above by summing (-> 0 belongs to approx the same darkness):\n",
    "darker = px1_darker + px2_darker\n",
    "\n",
    "# compare human labels to algorithm darker predictions:\n",
    "hum_alg_comp = tf.not_equal(darker, human_labels)\n",
    "# summed weights:\n",
    "weight_sum = tf.reduce_sum(weights)\n",
    "# only select such weights that belong to prediction - human label mismatch:\n",
    "error_weights = tf.where(condition=hum_alg_comp,\n",
    "                         x=weights,\n",
    "                         y=tf.zeros_like(hum_alg_comp, dtype=tf.float32))\n",
    "# sum all error_weights\n",
    "error_sum = tf.reduce_sum(error_weights)\n",
    "# get whdr over batch:\n",
    "result error_sum / weight_sum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "p1 = tf.placeholder(dtype=tf.int32)\n",
    "p2 = tf.placeholder(dtype=tf.int32)\n",
    "# get the human darker labels:\n",
    "human_labels = tf.placeholder(dtype=tf.int32)\n",
    "# list of weights/darker scores:\n",
    "darker_weights = tf.placeholder(dtype=tf.float32)\n",
    "\n",
    "imgs_tf = tf.placeholder(dtype=tf.float32)\n",
    "whdr_batch = chlp.compute_whdr_tf(reflectance=imgs_tf, point1=p1, point2=p2,\n",
    "                                  human_labels=human_labels,\n",
    "                                  weights=darker_weights, delta=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5593006"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with tf.Session() as sess:\n",
    "    fd = {imgs_tf: imgs,\n",
    "          p1: df_whdr[['batch_nr', 'y1', 'x1']].values,\n",
    "          p2: df_whdr[['batch_nr', 'y2', 'x2']].values,\n",
    "          human_labels: df_whdr['darker'].values,\n",
    "          darker_weights: df_whdr['darker_score'].values}\n",
    "    whdr_b = sess.run(whdr_batch, feed_dict=fd)\n",
    "whdr_b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(340, 340, 3)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Ik14MMq7jmfiPdJxOwnqE/d5pQUafsVMRtEYIz7Ibez7CSk5WT+iWD2kjwtN5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\n/w+xOZPwO8aq6gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11bdc2160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "i = 2\n",
    "plt.imshow(imgs[i])\n",
    "plt.scatter(x=pd.DataFrame(labels[i]['intrinsic_points'])['x']*imgs[i].shape[1], \n",
    "            y=pd.DataFrame(labels[i]['intrinsic_points'])['y']*imgs[i].shape[0], edgecolors='w',\n",
    "            s=100,\n",
    "            marker='o', \n",
    "            facecolors='None',\n",
    "            linewidth=1.5)\n",
    "# for i, txt in enumerate(df_point[['id', 'x', 'y']].values):\n",
    "#     plt.annotate(txt[0], (txt[1]*img.shape[1],txt[2]*img.shape[0]))\n",
    "imgs[i].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(356, 512, 3)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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dxBqJIQ4fdG6TnEwHGvmhvqM5huUm/MaOHcvy5Suo12M7MNwkiPCB7+vWdVKv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rWafq9Hmlqm84IPfPgznDm3xfnLO2gjuZnei3qyaR3zxYI0y+gPBjhfY4Ksa+ccRVVT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l8y2Oh9pzV5knBg3y6ufMRBHv6wA5x9/iW0ejtQpoV3HusaytLy3g9/iBPLR2mi+FVZ1hST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\nBwzkyisnc+mlX+fuu+/muOOOq/pmSOjn2LYp956ji1AUgaIMKm8my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nsvUkrGjBnDGWec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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11bdc21d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(imgs_original[i])\n",
    "plt.scatter(x=pd.DataFrame(labels_original[i]['intrinsic_points'])['x']*imgs_original[i].shape[1], \n",
    "            y=pd.DataFrame(labels_original[i]['intrinsic_points'])['y']*imgs_original[i].shape[0], edgecolors='w',\n",
    "            s=100,\n",
    "            marker='o', \n",
    "            facecolors='None',\n",
    "            linewidth=1.5)\n",
    "# for i, txt in enumerate(df_point[['id', 'x', 'y']].values):\n",
    "#     plt.annotate(txt[0], (txt[1]*img.shape[1],txt[2]*img.shape[0]))\n",
    "imgs_original[i].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5164998283322323"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "whdr_metric = whdr.compute_whdr(reflectance=imgs[i], judgements=labels[i], delta=0.10)\n",
    "whdr_metric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.44671778611333834"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "whdr_metric = whdr.compute_whdr(reflectance=imgs_original[i], judgements=labels_original[i], delta=0.10)\n",
    "whdr_metric"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# development process:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>image_path</th>\n",
       "      <th>label_path</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>data/iiw-dataset/data/54.png</td>\n",
       "      <td>data/iiw-dataset/data/54.json</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>data/iiw-dataset/data/63.png</td>\n",
       "      <td>data/iiw-dataset/data/63.json</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     image_path                     label_path\n",
       "0  data/iiw-dataset/data/54.png  data/iiw-dataset/data/54.json\n",
       "1  data/iiw-dataset/data/63.png  data/iiw-dataset/data/63.json"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# import iiw dataset:\n",
    "df_iiw = pd.read_csv(filepath_or_buffer=data_dir + 'data_iiw_complete.csv', sep=',',\n",
    "                     names=['image_path', 'label_path'])\n",
    "df_iiw = data_dir + df_iiw\n",
    "df_iiw.head(n=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import an image and json label:\n",
    "img = sp.misc.imread(name=df_iiw.loc[10, 'image_path'], flatten=False, mode='RGB')\n",
    "with open(df_iiw.loc[10, 'label_path'], 'r', encoding='utf-8') as infile:\n",
    "    jfile = json.load(infile)\n",
    "\n",
    "# define a (copied) json label file where the crucial features \n",
    "# 'intrinsic_points' and 'intrinsic_comparisons' are overwritten \n",
    "# by the cropped data points:\n",
    "jfile_crop = jfile.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# convert these dictionaries to pd.DataFrames:\n",
    "df_point = pd.DataFrame(jfile['intrinsic_points'])\n",
    "df_comparisons = pd.DataFrame(jfile['intrinsic_comparisons'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>min_separation</th>\n",
       "      <th>opaque</th>\n",
       "      <th>opaque_method</th>\n",
       "      <th>opaque_responses</th>\n",
       "      <th>opaque_score</th>\n",
       "      <th>sRGB</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2159835</td>\n",
       "      <td>0.03</td>\n",
       "      <td>False</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597178, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>-0.211024</td>\n",
       "      <td>e3cbc7</td>\n",
       "      <td>0.606609</td>\n",
       "      <td>0.423668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2159834</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597179, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>beb0a3</td>\n",
       "      <td>0.510209</td>\n",
       "      <td>0.315666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2159833</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597072, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>65331a</td>\n",
       "      <td>0.240950</td>\n",
       "      <td>0.340200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2159832</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597180, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>562610</td>\n",
       "      <td>0.076264</td>\n",
       "      <td>0.037651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2159831</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597181, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>a97e5e</td>\n",
       "      <td>0.430010</td>\n",
       "      <td>0.816535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2159830</td>\n",
       "      <td>0.03</td>\n",
       "      <td>False</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597208, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>-0.058945</td>\n",
       "      <td>532f23</td>\n",
       "      <td>0.626682</td>\n",
       "      <td>0.332323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2159829</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597073, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>64361e</td>\n",
       "      <td>0.828539</td>\n",
       "      <td>0.524214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2159828</td>\n",
       "      <td>0.03</td>\n",
       "      <td>False</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597182, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>-0.058945</td>\n",
       "      <td>392a13</td>\n",
       "      <td>0.664718</td>\n",
       "      <td>0.252025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2159827</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597183, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>946645</td>\n",
       "      <td>0.754718</td>\n",
       "      <td>0.970518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2159826</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597074, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>c5a191</td>\n",
       "      <td>0.460192</td>\n",
       "      <td>0.970061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2159825</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597184, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>612e19</td>\n",
       "      <td>0.647544</td>\n",
       "      <td>0.029369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2159824</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597185, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>96816e</td>\n",
       "      <td>0.151538</td>\n",
       "      <td>0.214049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2159823</td>\n",
       "      <td>0.03</td>\n",
       "      <td>False</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597254, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>-0.211024</td>\n",
       "      <td>71635a</td>\n",
       "      <td>0.557903</td>\n",
       "      <td>0.443365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2159822</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597239, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>af9c8d</td>\n",
       "      <td>0.624394</td>\n",
       "      <td>0.220519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2159821</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597209, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>5c2813</td>\n",
       "      <td>0.522559</td>\n",
       "      <td>0.035673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2159820</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597075, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>cbd4dd</td>\n",
       "      <td>0.020020</td>\n",
       "      <td>0.969201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2159819</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597186, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>775b46</td>\n",
       "      <td>0.024240</td>\n",
       "      <td>0.440991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2159818</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597187, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>e8e4d8</td>\n",
       "      <td>0.374321</td>\n",
       "      <td>0.614536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2159817</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597076, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>672f14</td>\n",
       "      <td>0.025931</td>\n",
       "      <td>0.202849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2159816</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597188, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>d1ccc6</td>\n",
       "      <td>0.124069</td>\n",
       "      <td>0.571125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2159815</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597189, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>582b18</td>\n",
       "      <td>0.021180</td>\n",
       "      <td>0.292993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2159814</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597210, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>af8b73</td>\n",
       "      <td>0.603444</td>\n",
       "      <td>0.952418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2159813</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597077, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>5a2712</td>\n",
       "      <td>0.026828</td>\n",
       "      <td>0.105608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2159812</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597190, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>592913</td>\n",
       "      <td>0.047210</td>\n",
       "      <td>0.248648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2159811</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597191, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>2f1107</td>\n",
       "      <td>0.115163</td>\n",
       "      <td>0.167682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2159810</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597078, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>3a130c</td>\n",
       "      <td>0.077965</td>\n",
       "      <td>0.223601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2159809</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597192, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>b0a79e</td>\n",
       "      <td>0.353323</td>\n",
       "      <td>0.545462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2159808</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597193, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>624e43</td>\n",
       "      <td>0.161040</td>\n",
       "      <td>0.602787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2159807</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597240, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>2b0d05</td>\n",
       "      <td>0.078751</td>\n",
       "      <td>0.153134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2159806</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597211, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>51240d</td>\n",
       "      <td>0.029605</td>\n",
       "      <td>0.041545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>1647335</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963699, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>a1907e</td>\n",
       "      <td>0.948185</td>\n",
       "      <td>0.398193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>1647334</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963703, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>6b4b34</td>\n",
       "      <td>0.673185</td>\n",
       "      <td>0.839314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>1647333</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963707, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>25201a</td>\n",
       "      <td>0.842607</td>\n",
       "      <td>0.761633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>1647332</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963711, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>815437</td>\n",
       "      <td>0.820027</td>\n",
       "      <td>0.965511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>1647331</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963639, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>956342</td>\n",
       "      <td>0.748121</td>\n",
       "      <td>0.898683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>1647330</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963686, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>946549</td>\n",
       "      <td>0.652808</td>\n",
       "      <td>0.962036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>1647329</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963687, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>9a6c4b</td>\n",
       "      <td>0.571754</td>\n",
       "      <td>0.840726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>1647328</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963688, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>d0c2b5</td>\n",
       "      <td>0.655671</td>\n",
       "      <td>0.608199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>1647325</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963689, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>b7a599</td>\n",
       "      <td>0.745091</td>\n",
       "      <td>0.484006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>1647324</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963690, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>a59484</td>\n",
       "      <td>0.844549</td>\n",
       "      <td>0.356072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>1647322</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963691, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>aa7d5e</td>\n",
       "      <td>0.487588</td>\n",
       "      <td>0.818075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>1647321</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963692, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>bf9d84</td>\n",
       "      <td>0.506097</td>\n",
       "      <td>0.948727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>1647320</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963693, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>9f7a5d</td>\n",
       "      <td>0.314283</td>\n",
       "      <td>0.896193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>1647319</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963694, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>c2b0a4</td>\n",
       "      <td>0.515023</td>\n",
       "      <td>0.314825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>1647318</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963733, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>bf9c80</td>\n",
       "      <td>0.558604</td>\n",
       "      <td>0.643751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>1647316</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963734, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>b68d6d</td>\n",
       "      <td>0.408235</td>\n",
       "      <td>0.894186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>1647315</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963735, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>dcdedd</td>\n",
       "      <td>0.403906</td>\n",
       "      <td>0.680002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>1647314</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963736, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>b29680</td>\n",
       "      <td>0.276564</td>\n",
       "      <td>0.767762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>1647313</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963737, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>ccbfae</td>\n",
       "      <td>0.370800</td>\n",
       "      <td>0.506341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>1647312</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963738, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>cfc1b4</td>\n",
       "      <td>0.435470</td>\n",
       "      <td>0.416474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>1647311</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963739, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>c7b7aa</td>\n",
       "      <td>0.734526</td>\n",
       "      <td>0.341135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>1647310</td>\n",
       "      <td>0.07</td>\n",
       "      <td>False</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963740, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>-0.957251</td>\n",
       "      <td>9f987c</td>\n",
       "      <td>0.633741</td>\n",
       "      <td>0.384857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>1647306</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963741, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>645343</td>\n",
       "      <td>0.182866</td>\n",
       "      <td>0.649875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>1647304</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963742, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>886551</td>\n",
       "      <td>0.270425</td>\n",
       "      <td>0.574636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>1647301</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963680, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>52240d</td>\n",
       "      <td>0.026765</td>\n",
       "      <td>0.052612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361</th>\n",
       "      <td>1647298</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963634, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>9f8765</td>\n",
       "      <td>0.200505</td>\n",
       "      <td>0.494295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>1647295</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963638, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>3d170a</td>\n",
       "      <td>0.118671</td>\n",
       "      <td>0.145621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>1647292</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963685, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>5c240b</td>\n",
       "      <td>0.219989</td>\n",
       "      <td>0.063450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>1647291</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963747, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>a58f7a</td>\n",
       "      <td>0.350800</td>\n",
       "      <td>0.289981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>1647289</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963748, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>5c240d</td>\n",
       "      <td>0.276776</td>\n",
       "      <td>0.164183</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>366 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          id  min_separation  opaque opaque_method  \\\n",
       "0    2159835            0.03   False             C   \n",
       "1    2159834            0.03    True             C   \n",
       "2    2159833            0.03    True             C   \n",
       "3    2159832            0.03    True             C   \n",
       "4    2159831            0.03    True             C   \n",
       "5    2159830            0.03   False             C   \n",
       "6    2159829            0.03    True             C   \n",
       "7    2159828            0.03   False             C   \n",
       "8    2159827            0.03    True             C   \n",
       "9    2159826            0.03    True             C   \n",
       "10   2159825            0.03    True             C   \n",
       "11   2159824            0.03    True             C   \n",
       "12   2159823            0.03   False             C   \n",
       "13   2159822            0.03    True             C   \n",
       "14   2159821            0.03    True             C   \n",
       "15   2159820            0.03    True             C   \n",
       "16   2159819            0.03    True             C   \n",
       "17   2159818            0.03    True             C   \n",
       "18   2159817            0.03    True             C   \n",
       "19   2159816            0.03    True             C   \n",
       "20   2159815            0.03    True             C   \n",
       "21   2159814            0.03    True             C   \n",
       "22   2159813            0.03    True             C   \n",
       "23   2159812            0.03    True             C   \n",
       "24   2159811            0.03    True             C   \n",
       "25   2159810            0.03    True             C   \n",
       "26   2159809            0.03    True             C   \n",
       "27   2159808            0.03    True             C   \n",
       "28   2159807            0.03    True             C   \n",
       "29   2159806            0.03    True             C   \n",
       "..       ...             ...     ...           ...   \n",
       "336  1647335            0.07    True             C   \n",
       "337  1647334            0.07    True             C   \n",
       "338  1647333            0.07    True             C   \n",
       "339  1647332            0.07    True             C   \n",
       "340  1647331            0.07    True             C   \n",
       "341  1647330            0.07    True             C   \n",
       "342  1647329            0.07    True             C   \n",
       "343  1647328            0.07    True             C   \n",
       "344  1647325            0.07    True             C   \n",
       "345  1647324            0.07    True             C   \n",
       "346  1647322            0.07    True             C   \n",
       "347  1647321            0.07    True             C   \n",
       "348  1647320            0.07    True             C   \n",
       "349  1647319            0.07    True             C   \n",
       "350  1647318            0.07    True             C   \n",
       "351  1647316            0.07    True             C   \n",
       "352  1647315            0.07    True             C   \n",
       "353  1647314            0.07    True             C   \n",
       "354  1647313            0.07    True             C   \n",
       "355  1647312            0.07    True             C   \n",
       "356  1647311            0.07    True             C   \n",
       "357  1647310            0.07   False             C   \n",
       "358  1647306            0.07    True             C   \n",
       "359  1647304            0.07    True             C   \n",
       "360  1647301            0.07    True             C   \n",
       "361  1647298            0.07    True             C   \n",
       "362  1647295            0.07    True             C   \n",
       "363  1647292            0.07    True             C   \n",
       "364  1647291            0.07    True             C   \n",
       "365  1647289            0.07    True             C   \n",
       "\n",
       "                                      opaque_responses  opaque_score    sRGB  \\\n",
       "0    [{'id': 1597178, 'mturk_worker_id': 'A3163PFOU...     -0.211024  e3cbc7   \n",
       "1    [{'id': 1597179, 'mturk_worker_id': 'A3163PFOU...      0.911177  beb0a3   \n",
       "2    [{'id': 1597072, 'mturk_worker_id': 'A3163PFOU...      0.911177  65331a   \n",
       "3    [{'id': 1597180, 'mturk_worker_id': 'A3163PFOU...      0.911177  562610   \n",
       "4    [{'id': 1597181, 'mturk_worker_id': 'A3163PFOU...      0.911177  a97e5e   \n",
       "5    [{'id': 1597208, 'mturk_worker_id': 'A3163PFOU...     -0.058945  532f23   \n",
       "6    [{'id': 1597073, 'mturk_worker_id': 'A3163PFOU...      0.911177  64361e   \n",
       "7    [{'id': 1597182, 'mturk_worker_id': 'A3163PFOU...     -0.058945  392a13   \n",
       "8    [{'id': 1597183, 'mturk_worker_id': 'A3163PFOU...      0.911177  946645   \n",
       "9    [{'id': 1597074, 'mturk_worker_id': 'A3163PFOU...      0.911177  c5a191   \n",
       "10   [{'id': 1597184, 'mturk_worker_id': 'A3163PFOU...      0.911177  612e19   \n",
       "11   [{'id': 1597185, 'mturk_worker_id': 'A3163PFOU...      0.911177  96816e   \n",
       "12   [{'id': 1597254, 'mturk_worker_id': 'A3163PFOU...     -0.211024  71635a   \n",
       "13   [{'id': 1597239, 'mturk_worker_id': 'A3163PFOU...      0.911177  af9c8d   \n",
       "14   [{'id': 1597209, 'mturk_worker_id': 'A3163PFOU...      0.911177  5c2813   \n",
       "15   [{'id': 1597075, 'mturk_worker_id': 'A3163PFOU...      0.911177  cbd4dd   \n",
       "16   [{'id': 1597186, 'mturk_worker_id': 'A3163PFOU...      0.911177  775b46   \n",
       "17   [{'id': 1597187, 'mturk_worker_id': 'A3163PFOU...      0.911177  e8e4d8   \n",
       "18   [{'id': 1597076, 'mturk_worker_id': 'A3163PFOU...      0.911177  672f14   \n",
       "19   [{'id': 1597188, 'mturk_worker_id': 'A3163PFOU...      0.911177  d1ccc6   \n",
       "20   [{'id': 1597189, 'mturk_worker_id': 'A3163PFOU...      0.911177  582b18   \n",
       "21   [{'id': 1597210, 'mturk_worker_id': 'A3163PFOU...      0.911177  af8b73   \n",
       "22   [{'id': 1597077, 'mturk_worker_id': 'A3163PFOU...      0.911177  5a2712   \n",
       "23   [{'id': 1597190, 'mturk_worker_id': 'A3163PFOU...      0.911177  592913   \n",
       "24   [{'id': 1597191, 'mturk_worker_id': 'A3163PFOU...      0.911177  2f1107   \n",
       "25   [{'id': 1597078, 'mturk_worker_id': 'A3163PFOU...      0.911177  3a130c   \n",
       "26   [{'id': 1597192, 'mturk_worker_id': 'A3163PFOU...      0.911177  b0a79e   \n",
       "27   [{'id': 1597193, 'mturk_worker_id': 'A3163PFOU...      0.911177  624e43   \n",
       "28   [{'id': 1597240, 'mturk_worker_id': 'A3163PFOU...      0.911177  2b0d05   \n",
       "29   [{'id': 1597211, 'mturk_worker_id': 'A3163PFOU...      0.911177  51240d   \n",
       "..                                                 ...           ...     ...   \n",
       "336  [{'id': 963699, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  a1907e   \n",
       "337  [{'id': 963703, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  6b4b34   \n",
       "338  [{'id': 963707, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  25201a   \n",
       "339  [{'id': 963711, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  815437   \n",
       "340  [{'id': 963639, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  956342   \n",
       "341  [{'id': 963686, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  946549   \n",
       "342  [{'id': 963687, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  9a6c4b   \n",
       "343  [{'id': 963688, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  d0c2b5   \n",
       "344  [{'id': 963689, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  b7a599   \n",
       "345  [{'id': 963690, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  a59484   \n",
       "346  [{'id': 963691, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  aa7d5e   \n",
       "347  [{'id': 963692, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  bf9d84   \n",
       "348  [{'id': 963693, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  9f7a5d   \n",
       "349  [{'id': 963694, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  c2b0a4   \n",
       "350  [{'id': 963733, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  bf9c80   \n",
       "351  [{'id': 963734, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  b68d6d   \n",
       "352  [{'id': 963735, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  dcdedd   \n",
       "353  [{'id': 963736, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  b29680   \n",
       "354  [{'id': 963737, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  ccbfae   \n",
       "355  [{'id': 963738, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  cfc1b4   \n",
       "356  [{'id': 963739, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  c7b7aa   \n",
       "357  [{'id': 963740, 'mturk_worker_id': 'A1YQ4Z1018...     -0.957251  9f987c   \n",
       "358  [{'id': 963741, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  645343   \n",
       "359  [{'id': 963742, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  886551   \n",
       "360  [{'id': 963680, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  52240d   \n",
       "361  [{'id': 963634, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  9f8765   \n",
       "362  [{'id': 963638, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  3d170a   \n",
       "363  [{'id': 963685, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  5c240b   \n",
       "364  [{'id': 963747, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  a58f7a   \n",
       "365  [{'id': 963748, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  5c240d   \n",
       "\n",
       "            x         y  \n",
       "0    0.606609  0.423668  \n",
       "1    0.510209  0.315666  \n",
       "2    0.240950  0.340200  \n",
       "3    0.076264  0.037651  \n",
       "4    0.430010  0.816535  \n",
       "5    0.626682  0.332323  \n",
       "6    0.828539  0.524214  \n",
       "7    0.664718  0.252025  \n",
       "8    0.754718  0.970518  \n",
       "9    0.460192  0.970061  \n",
       "10   0.647544  0.029369  \n",
       "11   0.151538  0.214049  \n",
       "12   0.557903  0.443365  \n",
       "13   0.624394  0.220519  \n",
       "14   0.522559  0.035673  \n",
       "15   0.020020  0.969201  \n",
       "16   0.024240  0.440991  \n",
       "17   0.374321  0.614536  \n",
       "18   0.025931  0.202849  \n",
       "19   0.124069  0.571125  \n",
       "20   0.021180  0.292993  \n",
       "21   0.603444  0.952418  \n",
       "22   0.026828  0.105608  \n",
       "23   0.047210  0.248648  \n",
       "24   0.115163  0.167682  \n",
       "25   0.077965  0.223601  \n",
       "26   0.353323  0.545462  \n",
       "27   0.161040  0.602787  \n",
       "28   0.078751  0.153134  \n",
       "29   0.029605  0.041545  \n",
       "..        ...       ...  \n",
       "336  0.948185  0.398193  \n",
       "337  0.673185  0.839314  \n",
       "338  0.842607  0.761633  \n",
       "339  0.820027  0.965511  \n",
       "340  0.748121  0.898683  \n",
       "341  0.652808  0.962036  \n",
       "342  0.571754  0.840726  \n",
       "343  0.655671  0.608199  \n",
       "344  0.745091  0.484006  \n",
       "345  0.844549  0.356072  \n",
       "346  0.487588  0.818075  \n",
       "347  0.506097  0.948727  \n",
       "348  0.314283  0.896193  \n",
       "349  0.515023  0.314825  \n",
       "350  0.558604  0.643751  \n",
       "351  0.408235  0.894186  \n",
       "352  0.403906  0.680002  \n",
       "353  0.276564  0.767762  \n",
       "354  0.370800  0.506341  \n",
       "355  0.435470  0.416474  \n",
       "356  0.734526  0.341135  \n",
       "357  0.633741  0.384857  \n",
       "358  0.182866  0.649875  \n",
       "359  0.270425  0.574636  \n",
       "360  0.026765  0.052612  \n",
       "361  0.200505  0.494295  \n",
       "362  0.118671  0.145621  \n",
       "363  0.219989  0.063450  \n",
       "364  0.350800  0.289981  \n",
       "365  0.276776  0.164183  \n",
       "\n",
       "[366 rows x 9 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_point"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Crop image (see also input_queues.py next_batch() function):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(341, 512, 3)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "output_shape = (340, 340, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_start = np.random.randint(img.shape[0] - output_shape[0])\n",
    "x_start = np.random.randint(img.shape[1] - output_shape[1])\n",
    "img_crop = img[y_start:y_start + output_shape[0], x_start:x_start + output_shape[1], :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_start / img.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.2890625"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_start / img.shape[1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Filter for the corresponding points in 'intrinsic_points' that are in cropped image field:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>C</td>\n",
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       "      <td>532f23</td>\n",
       "      <td>0.626682</td>\n",
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       "      <td>[{'id': 1597182, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>-0.058945</td>\n",
       "      <td>392a13</td>\n",
       "      <td>0.664718</td>\n",
       "      <td>0.252025</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2159827</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597183, 'mturk_worker_id': 'A3163PFOU...</td>\n",
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       "      <td>946645</td>\n",
       "      <td>0.754718</td>\n",
       "      <td>0.970518</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2159826</td>\n",
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       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597074, 'mturk_worker_id': 'A3163PFOU...</td>\n",
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       "      <td>c5a191</td>\n",
       "      <td>0.460192</td>\n",
       "      <td>0.970061</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2159825</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597184, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>612e19</td>\n",
       "      <td>0.647544</td>\n",
       "      <td>0.029369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2159823</td>\n",
       "      <td>0.03</td>\n",
       "      <td>False</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597254, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>-0.211024</td>\n",
       "      <td>71635a</td>\n",
       "      <td>0.557903</td>\n",
       "      <td>0.443365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2159822</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597239, 'mturk_worker_id': 'A3163PFOU...</td>\n",
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       "      <td>af9c8d</td>\n",
       "      <td>0.624394</td>\n",
       "      <td>0.220519</td>\n",
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       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2159821</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597209, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>5c2813</td>\n",
       "      <td>0.522559</td>\n",
       "      <td>0.035673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2159818</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597187, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>e8e4d8</td>\n",
       "      <td>0.374321</td>\n",
       "      <td>0.614536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2159814</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597210, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>af8b73</td>\n",
       "      <td>0.603444</td>\n",
       "      <td>0.952418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2159809</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597192, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>b0a79e</td>\n",
       "      <td>0.353323</td>\n",
       "      <td>0.545462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2159765</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1596983, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>652d14</td>\n",
       "      <td>0.332966</td>\n",
       "      <td>0.047062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>2159761</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1596986, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>312316</td>\n",
       "      <td>0.453275</td>\n",
       "      <td>0.725514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>2159750</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597093, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>c1b3a6</td>\n",
       "      <td>0.361543</td>\n",
       "      <td>0.451178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>2159740</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1596996, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>c7a78e</td>\n",
       "      <td>0.324543</td>\n",
       "      <td>0.480642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>2159739</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597096, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>9e8d7d</td>\n",
       "      <td>0.289633</td>\n",
       "      <td>0.468917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>2159737</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1596998, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>9e8365</td>\n",
       "      <td>0.326453</td>\n",
       "      <td>0.357564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2159735</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597097, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>672e1a</td>\n",
       "      <td>0.309741</td>\n",
       "      <td>0.258209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>2159734</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1596999, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>c8a07d</td>\n",
       "      <td>0.329268</td>\n",
       "      <td>0.421634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>2159733</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597000, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.221662</td>\n",
       "      <td>402d1e</td>\n",
       "      <td>0.354844</td>\n",
       "      <td>0.377553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>2159731</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597001, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>6a3018</td>\n",
       "      <td>0.357740</td>\n",
       "      <td>0.118718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>2159727</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597257, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>672d15</td>\n",
       "      <td>0.298919</td>\n",
       "      <td>0.069869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>2159725</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597221, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>cac5af</td>\n",
       "      <td>0.929621</td>\n",
       "      <td>0.033663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>2159721</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597100, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>6c2e15</td>\n",
       "      <td>0.327940</td>\n",
       "      <td>0.208631</td>\n",
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       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>2159720</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597005, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>6d2d14</td>\n",
       "      <td>0.297175</td>\n",
       "      <td>0.169775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>2159719</td>\n",
       "      <td>0.03</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 1597006, 'mturk_worker_id': 'A3163PFOU...</td>\n",
       "      <td>0.911177</td>\n",
       "      <td>a3948d</td>\n",
       "      <td>0.318245</td>\n",
       "      <td>0.560877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>1647352</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963669, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>b78e6e</td>\n",
       "      <td>0.370613</td>\n",
       "      <td>0.795956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>1647351</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963670, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>622812</td>\n",
       "      <td>0.315941</td>\n",
       "      <td>0.045721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>1647347</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963672, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>231f16</td>\n",
       "      <td>0.931012</td>\n",
       "      <td>0.801345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>1647345</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963674, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>1e170d</td>\n",
       "      <td>0.940775</td>\n",
       "      <td>0.920208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>1647344</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963675, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>d8a880</td>\n",
       "      <td>0.295961</td>\n",
       "      <td>0.418007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>1647338</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963678, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>9e8d7d</td>\n",
       "      <td>0.858317</td>\n",
       "      <td>0.220004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>1647337</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963679, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>42342b</td>\n",
       "      <td>0.779634</td>\n",
       "      <td>0.624108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>1647336</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963630, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>99806c</td>\n",
       "      <td>0.948707</td>\n",
       "      <td>0.213653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>1647335</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963699, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>a1907e</td>\n",
       "      <td>0.948185</td>\n",
       "      <td>0.398193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>1647334</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963703, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>6b4b34</td>\n",
       "      <td>0.673185</td>\n",
       "      <td>0.839314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>1647333</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963707, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>25201a</td>\n",
       "      <td>0.842607</td>\n",
       "      <td>0.761633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>1647332</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963711, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>815437</td>\n",
       "      <td>0.820027</td>\n",
       "      <td>0.965511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>1647331</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963639, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>956342</td>\n",
       "      <td>0.748121</td>\n",
       "      <td>0.898683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>1647330</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963686, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>946549</td>\n",
       "      <td>0.652808</td>\n",
       "      <td>0.962036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>1647329</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963687, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>9a6c4b</td>\n",
       "      <td>0.571754</td>\n",
       "      <td>0.840726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>1647328</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963688, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>d0c2b5</td>\n",
       "      <td>0.655671</td>\n",
       "      <td>0.608199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>1647325</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963689, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>b7a599</td>\n",
       "      <td>0.745091</td>\n",
       "      <td>0.484006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>1647324</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963690, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>a59484</td>\n",
       "      <td>0.844549</td>\n",
       "      <td>0.356072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>1647322</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963691, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>aa7d5e</td>\n",
       "      <td>0.487588</td>\n",
       "      <td>0.818075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>1647321</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963692, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>bf9d84</td>\n",
       "      <td>0.506097</td>\n",
       "      <td>0.948727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>1647320</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963693, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>9f7a5d</td>\n",
       "      <td>0.314283</td>\n",
       "      <td>0.896193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>1647319</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963694, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>c2b0a4</td>\n",
       "      <td>0.515023</td>\n",
       "      <td>0.314825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>1647318</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963733, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>bf9c80</td>\n",
       "      <td>0.558604</td>\n",
       "      <td>0.643751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>1647316</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963734, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>b68d6d</td>\n",
       "      <td>0.408235</td>\n",
       "      <td>0.894186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>1647315</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963735, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>dcdedd</td>\n",
       "      <td>0.403906</td>\n",
       "      <td>0.680002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>1647313</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963737, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>ccbfae</td>\n",
       "      <td>0.370800</td>\n",
       "      <td>0.506341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>1647312</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963738, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>cfc1b4</td>\n",
       "      <td>0.435470</td>\n",
       "      <td>0.416474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>1647311</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963739, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>c7b7aa</td>\n",
       "      <td>0.734526</td>\n",
       "      <td>0.341135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>1647310</td>\n",
       "      <td>0.07</td>\n",
       "      <td>False</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963740, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>-0.957251</td>\n",
       "      <td>9f987c</td>\n",
       "      <td>0.633741</td>\n",
       "      <td>0.384857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>1647291</td>\n",
       "      <td>0.07</td>\n",
       "      <td>True</td>\n",
       "      <td>C</td>\n",
       "      <td>[{'id': 963747, 'mturk_worker_id': 'A1YQ4Z1018...</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>a58f7a</td>\n",
       "      <td>0.350800</td>\n",
       "      <td>0.289981</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>247 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          id  min_separation  opaque opaque_method  \\\n",
       "0    2159835            0.03   False             C   \n",
       "1    2159834            0.03    True             C   \n",
       "4    2159831            0.03    True             C   \n",
       "5    2159830            0.03   False             C   \n",
       "6    2159829            0.03    True             C   \n",
       "7    2159828            0.03   False             C   \n",
       "8    2159827            0.03    True             C   \n",
       "9    2159826            0.03    True             C   \n",
       "10   2159825            0.03    True             C   \n",
       "12   2159823            0.03   False             C   \n",
       "13   2159822            0.03    True             C   \n",
       "14   2159821            0.03    True             C   \n",
       "17   2159818            0.03    True             C   \n",
       "21   2159814            0.03    True             C   \n",
       "26   2159809            0.03    True             C   \n",
       "70   2159765            0.03    True             C   \n",
       "74   2159761            0.03    True             C   \n",
       "85   2159750            0.03    True             C   \n",
       "95   2159740            0.03    True             C   \n",
       "96   2159739            0.03    True             C   \n",
       "98   2159737            0.03    True             C   \n",
       "100  2159735            0.03    True             C   \n",
       "101  2159734            0.03    True             C   \n",
       "102  2159733            0.03    True             C   \n",
       "104  2159731            0.03    True             C   \n",
       "108  2159727            0.03    True             C   \n",
       "110  2159725            0.03    True             C   \n",
       "114  2159721            0.03    True             C   \n",
       "115  2159720            0.03    True             C   \n",
       "116  2159719            0.03    True             C   \n",
       "..       ...             ...     ...           ...   \n",
       "324  1647352            0.07    True             C   \n",
       "325  1647351            0.07    True             C   \n",
       "327  1647347            0.07    True             C   \n",
       "329  1647345            0.07    True             C   \n",
       "330  1647344            0.07    True             C   \n",
       "333  1647338            0.07    True             C   \n",
       "334  1647337            0.07    True             C   \n",
       "335  1647336            0.07    True             C   \n",
       "336  1647335            0.07    True             C   \n",
       "337  1647334            0.07    True             C   \n",
       "338  1647333            0.07    True             C   \n",
       "339  1647332            0.07    True             C   \n",
       "340  1647331            0.07    True             C   \n",
       "341  1647330            0.07    True             C   \n",
       "342  1647329            0.07    True             C   \n",
       "343  1647328            0.07    True             C   \n",
       "344  1647325            0.07    True             C   \n",
       "345  1647324            0.07    True             C   \n",
       "346  1647322            0.07    True             C   \n",
       "347  1647321            0.07    True             C   \n",
       "348  1647320            0.07    True             C   \n",
       "349  1647319            0.07    True             C   \n",
       "350  1647318            0.07    True             C   \n",
       "351  1647316            0.07    True             C   \n",
       "352  1647315            0.07    True             C   \n",
       "354  1647313            0.07    True             C   \n",
       "355  1647312            0.07    True             C   \n",
       "356  1647311            0.07    True             C   \n",
       "357  1647310            0.07   False             C   \n",
       "364  1647291            0.07    True             C   \n",
       "\n",
       "                                      opaque_responses  opaque_score    sRGB  \\\n",
       "0    [{'id': 1597178, 'mturk_worker_id': 'A3163PFOU...     -0.211024  e3cbc7   \n",
       "1    [{'id': 1597179, 'mturk_worker_id': 'A3163PFOU...      0.911177  beb0a3   \n",
       "4    [{'id': 1597181, 'mturk_worker_id': 'A3163PFOU...      0.911177  a97e5e   \n",
       "5    [{'id': 1597208, 'mturk_worker_id': 'A3163PFOU...     -0.058945  532f23   \n",
       "6    [{'id': 1597073, 'mturk_worker_id': 'A3163PFOU...      0.911177  64361e   \n",
       "7    [{'id': 1597182, 'mturk_worker_id': 'A3163PFOU...     -0.058945  392a13   \n",
       "8    [{'id': 1597183, 'mturk_worker_id': 'A3163PFOU...      0.911177  946645   \n",
       "9    [{'id': 1597074, 'mturk_worker_id': 'A3163PFOU...      0.911177  c5a191   \n",
       "10   [{'id': 1597184, 'mturk_worker_id': 'A3163PFOU...      0.911177  612e19   \n",
       "12   [{'id': 1597254, 'mturk_worker_id': 'A3163PFOU...     -0.211024  71635a   \n",
       "13   [{'id': 1597239, 'mturk_worker_id': 'A3163PFOU...      0.911177  af9c8d   \n",
       "14   [{'id': 1597209, 'mturk_worker_id': 'A3163PFOU...      0.911177  5c2813   \n",
       "17   [{'id': 1597187, 'mturk_worker_id': 'A3163PFOU...      0.911177  e8e4d8   \n",
       "21   [{'id': 1597210, 'mturk_worker_id': 'A3163PFOU...      0.911177  af8b73   \n",
       "26   [{'id': 1597192, 'mturk_worker_id': 'A3163PFOU...      0.911177  b0a79e   \n",
       "70   [{'id': 1596983, 'mturk_worker_id': 'A3163PFOU...      0.911177  652d14   \n",
       "74   [{'id': 1596986, 'mturk_worker_id': 'A3163PFOU...      0.911177  312316   \n",
       "85   [{'id': 1597093, 'mturk_worker_id': 'A3163PFOU...      0.911177  c1b3a6   \n",
       "95   [{'id': 1596996, 'mturk_worker_id': 'A3163PFOU...      0.911177  c7a78e   \n",
       "96   [{'id': 1597096, 'mturk_worker_id': 'A3163PFOU...      0.911177  9e8d7d   \n",
       "98   [{'id': 1596998, 'mturk_worker_id': 'A3163PFOU...      0.911177  9e8365   \n",
       "100  [{'id': 1597097, 'mturk_worker_id': 'A3163PFOU...      0.911177  672e1a   \n",
       "101  [{'id': 1596999, 'mturk_worker_id': 'A3163PFOU...      0.911177  c8a07d   \n",
       "102  [{'id': 1597000, 'mturk_worker_id': 'A3163PFOU...      0.221662  402d1e   \n",
       "104  [{'id': 1597001, 'mturk_worker_id': 'A3163PFOU...      0.911177  6a3018   \n",
       "108  [{'id': 1597257, 'mturk_worker_id': 'A3163PFOU...      0.911177  672d15   \n",
       "110  [{'id': 1597221, 'mturk_worker_id': 'A3163PFOU...      0.911177  cac5af   \n",
       "114  [{'id': 1597100, 'mturk_worker_id': 'A3163PFOU...      0.911177  6c2e15   \n",
       "115  [{'id': 1597005, 'mturk_worker_id': 'A3163PFOU...      0.911177  6d2d14   \n",
       "116  [{'id': 1597006, 'mturk_worker_id': 'A3163PFOU...      0.911177  a3948d   \n",
       "..                                                 ...           ...     ...   \n",
       "324  [{'id': 963669, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  b78e6e   \n",
       "325  [{'id': 963670, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  622812   \n",
       "327  [{'id': 963672, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  231f16   \n",
       "329  [{'id': 963674, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  1e170d   \n",
       "330  [{'id': 963675, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  d8a880   \n",
       "333  [{'id': 963678, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  9e8d7d   \n",
       "334  [{'id': 963679, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  42342b   \n",
       "335  [{'id': 963630, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  99806c   \n",
       "336  [{'id': 963699, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  a1907e   \n",
       "337  [{'id': 963703, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  6b4b34   \n",
       "338  [{'id': 963707, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  25201a   \n",
       "339  [{'id': 963711, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  815437   \n",
       "340  [{'id': 963639, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  956342   \n",
       "341  [{'id': 963686, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  946549   \n",
       "342  [{'id': 963687, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  9a6c4b   \n",
       "343  [{'id': 963688, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  d0c2b5   \n",
       "344  [{'id': 963689, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  b7a599   \n",
       "345  [{'id': 963690, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  a59484   \n",
       "346  [{'id': 963691, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  aa7d5e   \n",
       "347  [{'id': 963692, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  bf9d84   \n",
       "348  [{'id': 963693, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  9f7a5d   \n",
       "349  [{'id': 963694, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  c2b0a4   \n",
       "350  [{'id': 963733, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  bf9c80   \n",
       "351  [{'id': 963734, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  b68d6d   \n",
       "352  [{'id': 963735, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  dcdedd   \n",
       "354  [{'id': 963737, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  ccbfae   \n",
       "355  [{'id': 963738, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  cfc1b4   \n",
       "356  [{'id': 963739, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  c7b7aa   \n",
       "357  [{'id': 963740, 'mturk_worker_id': 'A1YQ4Z1018...     -0.957251  9f987c   \n",
       "364  [{'id': 963747, 'mturk_worker_id': 'A1YQ4Z1018...      0.884369  a58f7a   \n",
       "\n",
       "            x         y  \n",
       "0    0.606609  0.423668  \n",
       "1    0.510209  0.315666  \n",
       "4    0.430010  0.816535  \n",
       "5    0.626682  0.332323  \n",
       "6    0.828539  0.524214  \n",
       "7    0.664718  0.252025  \n",
       "8    0.754718  0.970518  \n",
       "9    0.460192  0.970061  \n",
       "10   0.647544  0.029369  \n",
       "12   0.557903  0.443365  \n",
       "13   0.624394  0.220519  \n",
       "14   0.522559  0.035673  \n",
       "17   0.374321  0.614536  \n",
       "21   0.603444  0.952418  \n",
       "26   0.353323  0.545462  \n",
       "70   0.332966  0.047062  \n",
       "74   0.453275  0.725514  \n",
       "85   0.361543  0.451178  \n",
       "95   0.324543  0.480642  \n",
       "96   0.289633  0.468917  \n",
       "98   0.326453  0.357564  \n",
       "100  0.309741  0.258209  \n",
       "101  0.329268  0.421634  \n",
       "102  0.354844  0.377553  \n",
       "104  0.357740  0.118718  \n",
       "108  0.298919  0.069869  \n",
       "110  0.929621  0.033663  \n",
       "114  0.327940  0.208631  \n",
       "115  0.297175  0.169775  \n",
       "116  0.318245  0.560877  \n",
       "..        ...       ...  \n",
       "324  0.370613  0.795956  \n",
       "325  0.315941  0.045721  \n",
       "327  0.931012  0.801345  \n",
       "329  0.940775  0.920208  \n",
       "330  0.295961  0.418007  \n",
       "333  0.858317  0.220004  \n",
       "334  0.779634  0.624108  \n",
       "335  0.948707  0.213653  \n",
       "336  0.948185  0.398193  \n",
       "337  0.673185  0.839314  \n",
       "338  0.842607  0.761633  \n",
       "339  0.820027  0.965511  \n",
       "340  0.748121  0.898683  \n",
       "341  0.652808  0.962036  \n",
       "342  0.571754  0.840726  \n",
       "343  0.655671  0.608199  \n",
       "344  0.745091  0.484006  \n",
       "345  0.844549  0.356072  \n",
       "346  0.487588  0.818075  \n",
       "347  0.506097  0.948727  \n",
       "348  0.314283  0.896193  \n",
       "349  0.515023  0.314825  \n",
       "350  0.558604  0.643751  \n",
       "351  0.408235  0.894186  \n",
       "352  0.403906  0.680002  \n",
       "354  0.370800  0.506341  \n",
       "355  0.435470  0.416474  \n",
       "356  0.734526  0.341135  \n",
       "357  0.633741  0.384857  \n",
       "364  0.350800  0.289981  \n",
       "\n",
       "[247 rows x 9 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_point_crop = df_point[(df_point['x'] > (x_start / img.shape[1])) &\n",
    "                         (df_point['x'] < (x_start + output_shape[1]) / img.shape[1]) &\n",
    "                         (df_point['y'] > y_start / img.shape[0]) &\n",
    "                         (df_point['y'] < (y_start + output_shape[0]) / img.shape[0])]\n",
    "df_point_crop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/udodehm/.venvs/venv_tf/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n",
      "/Users/udodehm/.venvs/venv_tf/lib/python3.6/site-packages/ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
     ]
    }
   ],
   "source": [
    "# calculate new updated/croped relative coordinates:\n",
    "df_point_crop['x'] = (df_point_crop['x'] * img.shape[1] - x_start) / output_shape[1]\n",
    "df_point_crop['y'] = (df_point_crop['y'] * img.shape[0] - y_start) / output_shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# save 'intrinsic_points' to new json file:\n",
    "jfile_crop['intrinsic_points'] = df_point_crop.to_dict(orient='records')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Filter for the corresponding points in 'intrinsic_comparisons' that are in cropped image field:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_comparisons_crop = df_comparisons[df_comparisons['point1'].isin(df_point_crop['id']) & \n",
    "                                     df_comparisons['point2'].isin(df_point_crop['id'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# for calculating the metric later it is important to do some preprocessing steps:\n",
    "# first get only those entries that have ('1', '2', 'E') as feature 'darker':\n",
    "df_comparisons_crop = df_comparisons_crop[df_comparisons_crop['darker'].isin(('1', '2', 'E'))]\n",
    "\n",
    "# ensure that 'darker_score' is not None:\n",
    "df_comparisons_crop = df_comparisons_crop[df_comparisons_crop['darker_score'].notnull()]\n",
    "\n",
    "# ensure that 'darker_score' is > 0:\n",
    "df_comparisons_crop = df_comparisons_crop[df_comparisons_crop['darker_score']>0]\n",
    "\n",
    "# delete comparisons that contain opaque points ('opaque'==False):\n",
    "df_comparisons_crop = df_comparisons_crop.merge(right=df_point[['id', 'opaque', 'x', 'y']], \n",
    "                                                left_on='point1', right_on='id', \n",
    "                                                how='left', suffixes=('', '_1'))\n",
    "df_comparisons_crop = df_comparisons_crop.merge(right=df_point[['id', 'opaque', 'x', 'y']], \n",
    "                                                left_on='point2', right_on='id', \n",
    "                                                how='left', suffixes=('', '2'))\n",
    "df_comparisons_crop = df_comparisons_crop[(df_comparisons_crop['opaque']==True) & \n",
    "                                          (df_comparisons_crop['opaque2']==True)]\n",
    "df_comparisons_crop.drop(['id_1', 'opaque', 'id2', 'opaque2'], axis=1, inplace=True)\n",
    "df_comparisons_crop.rename(columns={'x':'x1', 'y':'y1'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_comparisons_crop_whdr = df_comparisons_crop[['darker', 'x1', 'y1', 'x2', 'y2']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/udodehm/.venvs/venv_tf/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "# introduce new numerical darker column:\n",
    "df_comparisons_crop_whdr['darker_num'] = df_comparisons_crop_whdr.loc[:,'darker']\n",
    "# replace 'E' (equal) with 3, transform '1' and '2' to 1 and 2:\n",
    "df_comparisons_crop_whdr['darker_num'] = df_comparisons_crop_whdr['darker_num'].apply(lambda x: 3 if x=='E' else int(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(570, 4)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_comparisons_crop_whdr[['x1', 'y1', 'x2', 'y2']].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "jfile_crop['intrinsic_comparisons'] =df_comparisons_crop.drop(['x1', 'y1', 'x2', 'y2'], axis=1).to_dict(orient='records')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Calculate whdr metric:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.2539263836140903"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "whdr.compute_whdr(reflectance=img, judgements=jfile, delta=0.10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.26774754294963987"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "whdr.compute_whdr(reflectance=img_crop, judgements=jfile_crop, delta=0.10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(341, 512, 3)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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eYPXlS+jCk2yuXsWrcMYvMMxnXFJYXNyXNIdFddh0g43L1+i6kFRtXLxMKWmM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Zvv5C1/853DPXPu3Fn+9U++hz/4wPtoDu7m8puu46KtdUpqOLvRc90VB4y1lA3TF2ows/sr90r0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6dQhpa26wh9j7eOnLJA4K2nxISe2BFZFXLMtN2CFEaK0gyrHUDhvSamUVofReMWa4KxjVXs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\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1K+otn1GxGBBeQpX/K9IPhYTV5Yx6s0bWyyjKinoS0y8zQhTddpc0jjFFztzBx8kyQ2PI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\nyiznvwEuXgZEWgkJIQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11ca87eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(img)\n",
    "plt.scatter(x=df_point['x']*img.shape[1], y=df_point['y']*img.shape[0], edgecolors='w',\n",
    "            s=100, marker='o', facecolors='None',\n",
    "            linewidth=1.5)\n",
    "# for i, txt in enumerate(df_point[['id', 'x', 'y']].values):\n",
    "#     plt.annotate(txt[0], (txt[1]*img.shape[1],txt[2]*img.shape[0]))\n",
    "img.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(340, 340, 3)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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qgdSvPQZEAhpx21/Mbnri561rfIDUJCQ1NE1Latz4NE3j6CYZSMHymC5n9vf3GO/sM+3G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YS1W5+FxZcUEhf0oj0DZHm/uQxln4q+WHrQTIZS6Mx7+gBFBgmuxjkVXFqlYPr2B0nSBOsMkfQk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Ur9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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10cd572e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(img_crop)\n",
    "plt.scatter(x=df_point_crop['x']*img_crop.shape[1], y=df_point_crop['y']*img_crop.shape[0], edgecolors='w',\n",
    "            s=100, marker='o', facecolors='None',\n",
    "            linewidth=1.5)\n",
    "# for i, txt in enumerate(df_point[['id', 'x', 'y']].values):\n",
    "#     plt.annotate(txt[0], (txt[1]*img.shape[1],txt[2]*img.shape[0]))\n",
    "img_crop.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "22    61.778057\n",
       "38    60.693237\n",
       "50    24.289988\n",
       "Name: x, dtype: float64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# position: relative_position*old_image_px_size-\n",
    "df_point_crop['x']*img.shape[1]-x_start"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "22    61.778057\n",
       "38    60.693237\n",
       "50    24.289988\n",
       "Name: x, dtype: float64"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_point_crop['x']*img.shape[1]-x_start"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "22   -111103.455512\n",
       "38   -111103.457630\n",
       "50   -111103.528730\n",
       "Name: x, dtype: float64"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(df_point_crop['x']-x_start/img.shape[1])*img_crop.shape[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "100"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img_crop.shape[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "41    0.232283\n",
       "49    0.823256\n",
       "55    0.119555\n",
       "56    0.616079\n",
       "Name: x, dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(df_point_crop['x']*img.shape[1]-x_start)/img_crop.shape[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x114cca4e0>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LnadLecHxP6yN+dbFMXODhvmhwRnLsMkBo23u9hkFdeVQaJRotEnUlc1zvpRQ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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114c2e860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(img_crop)\n",
    "plt.scatter(x=df_point_crop['x']*img.shape[1]-x_start, y=df_point_crop['y']*img.shape[0]-y_start, edgecolors='w',\n",
    "            s=100, marker='o', facecolors='None',\n",
    "            linewidth=1.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "217"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_start"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "229"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_start"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Test: start for plotting comparison connections between points:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_comparisons2 = df_comparisons.merge(right=df_point[['id', 'x', 'y']], \n",
    "                                       left_on='point1', right_on='id', \n",
    "                                       how='left')\n",
    "df_comparisons2.rename(columns={'x':'point1_x', \n",
    "                                'y': 'point1_y',\n",
    "                                'id_x': 'id'}, \n",
    "                       inplace=True)\n",
    "df_comparisons2.drop('id_y', axis=1, inplace=True)\n",
    "df_comparisons3 = df_comparisons2.merge(right=df_point[['id', 'x', 'y']], \n",
    "                                        left_on='point2', right_on='id', \n",
    "                                        how='left')\n",
    "df_comparisons3.rename(columns={'x':'point2_x', \n",
    "                                'y': 'point2_y',\n",
    "                                'id_x': 'id'}, \n",
    "                       inplace=True)\n",
    "df_comparisons3.drop('id_y', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}