HapticNetworkTesting.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Haptic Classification Testing\n",
    "\n",
    "This notebook restores the sound network trained for grasp testset1 stored in `../Deep-Multi-Sensory-Object-Categorization_dataset/grasp_Freq_50TimePerSec_7channels_testset1_logs` and test it."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dependencies\n",
    "\n",
    "`Python 3.5.4` is used for development and following packages are required to run the code provided in the notebook:\n",
    "\n",
    "`pip install googledrivedownloader`<br>\n",
    "`pip install matplotlib`<br>\n",
    "`pip install tensorflow-gpu`<br>\n",
    "`pip install numpy`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle, os, csv, time, shutil\n",
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "from google_drive_downloader import GoogleDriveDownloader as gdd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def print_image(image, title):\n",
    "    \"\"\"Print the image\n",
    "\n",
    "    :param image: image pixels in list\n",
    "    :param title: title as string to be printed on top of the image\n",
    "    \"\"\"\n",
    "    plt.imshow(image)\n",
    "    plt.title(title)\n",
    "    plt.colorbar()\n",
    "    plt.show()\n",
    "\n",
    "def time_taken(start, end):\n",
    "    \"\"\"Human readable time between `start` and `end`\n",
    "\n",
    "    :param start: time.time()\n",
    "    :param end: time.time()\n",
    "    :returns: day:hour:minute:second\n",
    "    \"\"\"\n",
    "    time = end-start\n",
    "    day = time // (24 * 3600)\n",
    "    time = time % (24 * 3600)\n",
    "    hour = time // 3600\n",
    "    time %= 3600\n",
    "    minutes = time // 60\n",
    "    time %= 60\n",
    "    seconds = time\n",
    "    day_hour_min_sec = str('%02d' % int(day))+\":\"+str('%02d' % int(hour))+\":\"+str('%02d' % int(minutes))+\":\"+str('%02d' % int(seconds))\n",
    "    \n",
    "    return day_hour_min_sec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "Downloading `category_object_labels.bin`.\n",
    "This contains two dictionaries that stores category labels and object labels\n",
    "\"\"\"\n",
    "\n",
    "gdd.download_file_from_google_drive(file_id='15xPAbso4-uLk8PcRi9cb70r1r3FaU6ux',\n",
    "                                    dest_path='../Deep-Multi-Sensory-Object-Categorization_dataset/category_object_labels.bin',\n",
    "                                    unzip=False)\n",
    "\n",
    "bin_file = open(\"../Deep-Multi-Sensory-Object-Categorization_dataset/category_object_labels.bin\", \"rb\")\n",
    "\n",
    "category_labels = pickle.load(bin_file)\n",
    "object_labels = pickle.load(bin_file)\n",
    "\n",
    "bin_file.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sound Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "Downloading testset1 for haptic of grasp interaction and reading it.\n",
    "\"\"\"\n",
    "\n",
    "db_file_name = \"grasp_Freq_50TimePerSec_7channels_testset1.bin\"\n",
    "gdd.download_file_from_google_drive(file_id='16g4Cp67SHqpVSUyOryPEH2HCTZhMcCeB',\n",
    "                                    dest_path='../Deep-Multi-Sensory-Object-Categorization_dataset/'+db_file_name,\n",
    "                                    unzip=False)\n",
    "\n",
    "bin_file = open(\"../Deep-Multi-Sensory-Object-Categorization_dataset/\"+db_file_name, \"rb\")\n",
    "\n",
    "haptic_frames_2d_train = pickle.load(bin_file)\n",
    "category_label_train = pickle.load(bin_file)\n",
    "object_label_train = pickle.load(bin_file)\n",
    "category_label_train_one_hot = pickle.load(bin_file)\n",
    "object_label_train_one_hot = pickle.load(bin_file)\n",
    "\n",
    "haptic_frames_2d_test = pickle.load(bin_file)\n",
    "category_label_test = pickle.load(bin_file)\n",
    "object_label_test = pickle.load(bin_file)\n",
    "category_label_test_one_hot = pickle.load(bin_file)\n",
    "object_label_test_one_hot = pickle.load(bin_file)\n",
    "\n",
    "bin_file.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "batch, frames, channel:  (400, 100, 7)\n",
      "Category:  egg\n",
      "Object:  egg_rough_styrofoam\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "Printing shape of the haptic dataset\n",
    "\"\"\"\n",
    "\n",
    "batch_no = 188\n",
    "\n",
    "print(\"batch, frames, channel: \", haptic_frames_2d_train.shape)\n",
    "\n",
    "print(\"Category: \", list(category_labels.keys())[list(category_labels.values()).index(category_label_train[batch_no])])\n",
    "print(\"Object: \", list(object_labels.keys())[list(object_labels.values()).index(object_label_train[batch_no])])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Building the Haptic Network Architecture\n",
    "\n",
    "![Haptic Network Architecture](pics/Haptic_CNN.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Haptic Network Hyper-parameters\n",
    "\n",
    "To reduce over-fitting during training, we used dropout after the fully connected layer with 0.5 probability.\n",
    "Training was performed with 400 training epochs using Adam optimization with a learning rate of 1 x $10^{-4}$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Network hyper-parameters\n",
    "batch = 5\n",
    "training_epochs = 400\n",
    "display_step = 1\n",
    "\n",
    "frames = time_step_size = haptic_frames_2d_train.shape[1]\n",
    "channel = haptic_frames_2d_train.shape[2]\n",
    "\n",
    "num_classes = category_label_train_one_hot.shape[1]\n",
    "\n",
    "model_path = \"../Deep-Multi-Sensory-Object-Categorization_dataset/\"+db_file_name.split(\".\")[0]+\"_logs/model.ckpt\"\n",
    "logs_path = \"../Deep-Multi-Sensory-Object-Categorization_dataset/\"+db_file_name.split(\".\")[0]+\"_logs/\"\n",
    "\n",
    "X = tf.placeholder('float', [None, frames, channel], name='InputData')\n",
    "Y = tf.placeholder('float', [None, num_classes], name='LabelData')\n",
    "keep_prob = tf.placeholder_with_default(1.0, shape=(), name = 'keep')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "skip_2nd_maxpool = [\"grasp\", \"hold\", \"low\"]\n",
    "\n",
    "# Create model\n",
    "def model():\n",
    "    with tf.name_scope(\"Model\"):\n",
    "        data_placeholder = tf.placeholder('float', [None, frames, channel], name='InputData')\n",
    "        \n",
    "        net = tf.reshape(data_placeholder, [-1, frames, channel, 1])\n",
    "        net = tf.layers.conv2d(inputs=net, filters=32, kernel_size=[20, 5], padding=\"same\", activation=tf.nn.relu)\n",
    "        net = tf.layers.max_pooling2d(inputs=net, pool_size=[10, 1], strides=2)\n",
    "        net = tf.layers.conv2d(inputs=net, filters=64, kernel_size=[1, 3], padding=\"same\", activation=tf.nn.relu)\n",
    "        if (db_file_name.split(\"_\")[0]) in skip_2nd_maxpool:\n",
    "            net = tf.layers.max_pooling2d(inputs=net, pool_size=[1, 1], strides=[1, 2])\n",
    "        else:\n",
    "            net = tf.layers.max_pooling2d(inputs=net, pool_size=[10, 1], strides=2)\n",
    "        net = tf.layers.flatten(net)\n",
    "        # Dense Layer\n",
    "        net = tf.layers.dense(inputs=net, units=1024, activation=tf.nn.relu)\n",
    "        # Add dropout operation\n",
    "        net = tf.layers.dropout(inputs=net, rate=keep_prob)\n",
    "        logits = tf.layers.dense(inputs=net, units=num_classes)\n",
    "        \n",
    "    return logits\n",
    "\n",
    "def loss(prediction, label_placeholder):\n",
    "    with tf.name_scope('Loss'):\n",
    "        cost = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits_v2(logits=prediction, labels=label_placeholder))\n",
    "        # Create a summary to monitor cost tensor\n",
    "        cost_scalar = tf.summary.scalar(\"loss\", cost)\n",
    "    return cost, cost_scalar\n",
    "\n",
    "def training(prediction, label_placeholder):\n",
    "    with tf.name_scope('Optimizer'):\n",
    "        optimizer = tf.train.AdamOptimizer(learning_rate=0.0001)\n",
    "        train_op = optimizer.minimize(cost)\n",
    "    return train_op\n",
    "\n",
    "def evaluate(prediction, Y):\n",
    "    with tf.name_scope('Accuracy'):\n",
    "        # Test model\n",
    "        correct_prediction = tf.equal(tf.argmax(prediction, 1), tf.argmax(Y, 1))\n",
    "        # Calculate accuracy\n",
    "        accuracy = tf.reduce_mean(tf.cast(correct_prediction, 'float'))\n",
    "        # Create a summary to monitor accuracy tensor\n",
    "        accuracy_scalar = tf.summary.scalar(\"accuracy\", accuracy)\n",
    "    return accuracy, accuracy_scalar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "model_dict:  {'Loss_scalar': <tf.Tensor 'Loss/loss:0' shape=() dtype=string>, 'Model': <tf.Tensor 'Model/dense_1/BiasAdd:0' shape=(?, 20) dtype=float32>, 'Loss': <tf.Tensor 'Loss/Mean:0' shape=() dtype=float32>, 'Accuracy_scalar': <tf.Tensor 'Accuracy/accuracy:0' shape=() dtype=string>, 'Optimizer': <tf.Operation 'Optimizer/Adam' type=NoOp>, 'Accuracy': <tf.Tensor 'Accuracy/Mean:0' shape=() dtype=float32>}\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "Creating the Neural Network\n",
    "\"\"\"\n",
    "\n",
    "model_dict = {}\n",
    "\n",
    "prediction = model()\n",
    "model_dict[\"Model\"] = prediction\n",
    "\n",
    "cost, cost_scalar = loss(prediction, Y)\n",
    "model_dict[\"Loss\"] = cost\n",
    "model_dict[\"Loss_scalar\"] = cost_scalar\n",
    "\n",
    "train_op = training(prediction, Y)\n",
    "model_dict[\"Optimizer\"] = train_op\n",
    "\n",
    "eval_op, accuracy_scalar = evaluate(prediction, Y)\n",
    "model_dict[\"Accuracy\"] = eval_op\n",
    "model_dict[\"Accuracy_scalar\"] = accuracy_scalar\n",
    "\n",
    "print(\"model_dict: \", model_dict)\n",
    "\n",
    "# Initializing the variables\n",
    "init = tf.global_variables_initializer()\n",
    "\n",
    "# 'Saver' op to save and restore all the variables\n",
    "saver = tf.train.Saver(max_to_keep=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Testing for the whole haptic clip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Restoring parameters from ../Deep-Multi-Sensory-Object-Categorization_dataset/grasp_Freq_50TimePerSec_7channels_testset1_logs/model.ckpt-399\n",
      "Overall Accuracy:  0.41000000983476637\n"
     ]
    }
   ],
   "source": [
    "# Evaluate on test set\n",
    "\n",
    "with tf.Session() as sess:\n",
    "    sess.run(init)\n",
    "    saver.restore(sess, tf.train.latest_checkpoint(logs_path))\n",
    "    \n",
    "    avg_accuracy_list = 0.0\n",
    "    total_batch = int(len(haptic_frames_2d_test)/batch)\n",
    "    \n",
    "    for start, end in zip(range(0, len(haptic_frames_2d_test), batch), range(batch, len(haptic_frames_2d_test)+1, batch)):\n",
    "        X = tf.get_default_graph().get_tensor_by_name(\"Model/InputData:0\")\n",
    "        input_data, label_data = haptic_frames_2d_test[start:end], category_label_test_one_hot[start:end]\n",
    "        accuracy = sess.run(model_dict[\"Accuracy\"], feed_dict={X: input_data, Y: label_data})\n",
    "        avg_accuracy_list += accuracy/total_batch\n",
    "    \n",
    "    print(\"Overall Accuracy: \", avg_accuracy_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Testing for every 5th frame in the haptic clip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Restoring parameters from ../Deep-Multi-Sensory-Object-Categorization_dataset/grasp_Freq_50TimePerSec_7channels_testset1_logs/model.ckpt-399\n",
      "Example Number:  1\n",
      "True Category:  ball\n",
      "Frame No.:  5 Prediction:  ball\n",
      "Frame No.:  10 Prediction:  ball\n",
      "Frame No.:  15 Prediction:  ball\n",
      "Frame No.:  20 Prediction:  ball\n",
      "Frame No.:  25 Prediction:  ball\n",
      "Frame No.:  30 Prediction:  ball\n",
      "Frame No.:  35 Prediction:  can\n",
      "Frame No.:  40 Prediction:  ball\n",
      "Frame No.:  45 Prediction:  ball\n",
      "Frame No.:  50 Prediction:  ball\n",
      "Frame No.:  55 Prediction:  ball\n",
      "Frame No.:  60 Prediction:  ball\n",
      "Frame No.:  65 Prediction:  ball\n",
      "Frame No.:  70 Prediction:  ball\n",
      "Frame No.:  75 Prediction:  ball\n",
      "Frame No.:  80 Prediction:  ball\n",
      "Frame No.:  85 Prediction:  ball\n",
      "Frame No.:  90 Prediction:  ball\n",
      "Frame No.:  95 Prediction:  ball\n",
      "Frame No.:  100 Prediction:  ball\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  2\n",
      "True Category:  ball\n",
      "Frame No.:  5 Prediction:  can\n",
      "Frame No.:  10 Prediction:  can\n",
      "Frame No.:  15 Prediction:  can\n",
      "Frame No.:  20 Prediction:  can\n",
      "Frame No.:  25 Prediction:  can\n",
      "Frame No.:  30 Prediction:  can\n",
      "Frame No.:  35 Prediction:  can\n",
      "Frame No.:  40 Prediction:  can\n",
      "Frame No.:  45 Prediction:  can\n",
      "Frame No.:  50 Prediction:  can\n",
      "Frame No.:  55 Prediction:  can\n",
      "Frame No.:  60 Prediction:  can\n",
      "Frame No.:  65 Prediction:  can\n",
      "Frame No.:  70 Prediction:  can\n",
      "Frame No.:  75 Prediction:  can\n",
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      "Frame No.:  95 Prediction:  can\n",
      "Frame No.:  100 Prediction:  can\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  3\n",
      "True Category:  ball\n",
      "Frame No.:  5 Prediction:  can\n",
      "Frame No.:  10 Prediction:  noodle\n",
      "Frame No.:  15 Prediction:  can\n",
      "Frame No.:  20 Prediction:  can\n",
      "Frame No.:  25 Prediction:  can\n",
      "Frame No.:  30 Prediction:  can\n",
      "Frame No.:  35 Prediction:  can\n",
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      "Frame No.:  45 Prediction:  can\n",
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      "Frame No.:  60 Prediction:  can\n",
      "Frame No.:  65 Prediction:  can\n",
      "Frame No.:  70 Prediction:  can\n",
      "Frame No.:  75 Prediction:  can\n",
      "Frame No.:  80 Prediction:  can\n",
      "Frame No.:  85 Prediction:  can\n",
      "Frame No.:  90 Prediction:  can\n",
      "Frame No.:  95 Prediction:  can\n",
      "Frame No.:  100 Prediction:  can\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  4\n",
      "True Category:  ball\n",
      "Frame No.:  5 Prediction:  can\n",
      "Frame No.:  10 Prediction:  can\n",
      "Frame No.:  15 Prediction:  can\n",
      "Frame No.:  20 Prediction:  can\n",
      "Frame No.:  25 Prediction:  can\n",
      "Frame No.:  30 Prediction:  can\n",
      "Frame No.:  35 Prediction:  can\n",
      "Frame No.:  40 Prediction:  can\n",
      "Frame No.:  45 Prediction:  can\n",
      "Frame No.:  50 Prediction:  can\n",
      "Frame No.:  55 Prediction:  can\n",
      "Frame No.:  60 Prediction:  can\n",
      "Frame No.:  65 Prediction:  can\n",
      "Frame No.:  70 Prediction:  can\n",
      "Frame No.:  75 Prediction:  can\n",
      "Frame No.:  80 Prediction:  can\n",
      "Frame No.:  85 Prediction:  can\n",
      "Frame No.:  90 Prediction:  can\n",
      "Frame No.:  95 Prediction:  can\n",
      "Frame No.:  100 Prediction:  can\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  5\n",
      "True Category:  ball\n",
      "Frame No.:  5 Prediction:  eggcoloringcup\n",
      "Frame No.:  10 Prediction:  egg\n",
      "Frame No.:  15 Prediction:  egg\n",
      "Frame No.:  20 Prediction:  egg\n",
      "Frame No.:  25 Prediction:  egg\n",
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      "Frame No.:  100 Prediction:  egg\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  6\n",
      "True Category:  basket\n",
      "Frame No.:  5 Prediction:  bigstuffedanimal\n",
      "Frame No.:  10 Prediction:  bigstuffedanimal\n",
      "Frame No.:  15 Prediction:  bigstuffedanimal\n",
      "Frame No.:  20 Prediction:  bigstuffedanimal\n",
      "Frame No.:  25 Prediction:  cannedfood\n",
      "Frame No.:  30 Prediction:  bigstuffedanimal\n",
      "Frame No.:  35 Prediction:  medicine\n",
      "Frame No.:  40 Prediction:  bigstuffedanimal\n",
      "Frame No.:  45 Prediction:  bigstuffedanimal\n",
      "Frame No.:  50 Prediction:  bigstuffedanimal\n",
      "Frame No.:  55 Prediction:  bigstuffedanimal\n",
      "Frame No.:  60 Prediction:  bigstuffedanimal\n",
      "Frame No.:  65 Prediction:  bigstuffedanimal\n",
      "Frame No.:  70 Prediction:  bigstuffedanimal\n",
      "Frame No.:  75 Prediction:  bigstuffedanimal\n",
      "Frame No.:  80 Prediction:  bigstuffedanimal\n",
      "Frame No.:  85 Prediction:  bigstuffedanimal\n",
      "Frame No.:  90 Prediction:  bigstuffedanimal\n",
      "Frame No.:  95 Prediction:  bigstuffedanimal\n",
      "Frame No.:  100 Prediction:  bigstuffedanimal\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  7\n",
      "True Category:  basket\n",
      "Frame No.:  5 Prediction:  tin\n",
      "Frame No.:  10 Prediction:  tin\n",
      "Frame No.:  15 Prediction:  tin\n",
      "Frame No.:  20 Prediction:  pasta\n",
      "Frame No.:  25 Prediction:  basket\n",
      "Frame No.:  30 Prediction:  cone\n",
      "Frame No.:  35 Prediction:  weight\n",
      "Frame No.:  40 Prediction:  pasta\n",
      "Frame No.:  45 Prediction:  cone\n",
      "Frame No.:  50 Prediction:  cone\n",
      "Frame No.:  55 Prediction:  cone\n",
      "Frame No.:  60 Prediction:  cone\n",
      "Frame No.:  65 Prediction:  cone\n",
      "Frame No.:  70 Prediction:  cone\n",
      "Frame No.:  75 Prediction:  cone\n",
      "Frame No.:  80 Prediction:  cone\n",
      "Frame No.:  85 Prediction:  cone\n",
      "Frame No.:  90 Prediction:  cone\n",
      "Frame No.:  95 Prediction:  cone\n",
      "Frame No.:  100 Prediction:  cone\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  8\n",
      "True Category:  basket\n",
      "Frame No.:  5 Prediction:  basket\n",
      "Frame No.:  10 Prediction:  basket\n",
      "Frame No.:  15 Prediction:  basket\n",
      "Frame No.:  20 Prediction:  basket\n",
      "Frame No.:  25 Prediction:  basket\n",
      "Frame No.:  30 Prediction:  basket\n",
      "Frame No.:  35 Prediction:  basket\n",
      "Frame No.:  40 Prediction:  basket\n",
      "Frame No.:  45 Prediction:  basket\n",
      "Frame No.:  50 Prediction:  basket\n",
      "Frame No.:  55 Prediction:  basket\n",
      "Frame No.:  60 Prediction:  basket\n",
      "Frame No.:  65 Prediction:  basket\n",
      "Frame No.:  70 Prediction:  basket\n",
      "Frame No.:  75 Prediction:  basket\n",
      "Frame No.:  80 Prediction:  basket\n",
      "Frame No.:  85 Prediction:  basket\n",
      "Frame No.:  90 Prediction:  basket\n",
      "Frame No.:  95 Prediction:  basket\n",
      "Frame No.:  100 Prediction:  basket\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  9\n",
      "True Category:  basket\n",
      "Frame No.:  5 Prediction:  cone\n",
      "Frame No.:  10 Prediction:  basket\n",
      "Frame No.:  15 Prediction:  basket\n",
      "Frame No.:  20 Prediction:  basket\n",
      "Frame No.:  25 Prediction:  basket\n",
      "Frame No.:  30 Prediction:  basket\n",
      "Frame No.:  35 Prediction:  basket\n",
      "Frame No.:  40 Prediction:  basket\n",
      "Frame No.:  45 Prediction:  basket\n",
      "Frame No.:  50 Prediction:  basket\n",
      "Frame No.:  55 Prediction:  basket\n",
      "Frame No.:  60 Prediction:  basket\n",
      "Frame No.:  65 Prediction:  basket\n",
      "Frame No.:  70 Prediction:  basket\n",
      "Frame No.:  75 Prediction:  basket\n",
      "Frame No.:  80 Prediction:  basket\n",
      "Frame No.:  85 Prediction:  basket\n",
      "Frame No.:  90 Prediction:  basket\n",
      "Frame No.:  95 Prediction:  basket\n",
      "Frame No.:  100 Prediction:  basket\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  10\n",
      "True Category:  basket\n",
      "Frame No.:  5 Prediction:  cone\n",
      "Frame No.:  10 Prediction:  basket\n",
      "Frame No.:  15 Prediction:  basket\n",
      "Frame No.:  20 Prediction:  basket\n",
      "Frame No.:  25 Prediction:  basket\n",
      "Frame No.:  30 Prediction:  basket\n",
      "Frame No.:  35 Prediction:  basket\n",
      "Frame No.:  40 Prediction:  basket\n",
      "Frame No.:  45 Prediction:  basket\n",
      "Frame No.:  50 Prediction:  basket\n",
      "Frame No.:  55 Prediction:  basket\n",
      "Frame No.:  60 Prediction:  basket\n",
      "Frame No.:  65 Prediction:  basket\n",
      "Frame No.:  70 Prediction:  basket\n",
      "Frame No.:  75 Prediction:  basket\n",
      "Frame No.:  80 Prediction:  basket\n",
      "Frame No.:  85 Prediction:  basket\n",
      "Frame No.:  90 Prediction:  basket\n",
      "Frame No.:  95 Prediction:  basket\n",
      "Frame No.:  100 Prediction:  basket\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  11\n",
      "True Category:  bigstuffedanimal\n",
      "Frame No.:  5 Prediction:  basket\n",
      "Frame No.:  10 Prediction:  smallstuffedanimal\n",
      "Frame No.:  15 Prediction:  basket\n",
      "Frame No.:  20 Prediction:  smallstuffedanimal\n",
      "Frame No.:  25 Prediction:  bigstuffedanimal\n",
      "Frame No.:  30 Prediction:  smallstuffedanimal\n",
      "Frame No.:  35 Prediction:  bigstuffedanimal\n",
      "Frame No.:  40 Prediction:  bigstuffedanimal\n",
      "Frame No.:  45 Prediction:  bigstuffedanimal\n",
      "Frame No.:  50 Prediction:  bigstuffedanimal\n",
      "Frame No.:  55 Prediction:  bigstuffedanimal\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Frame No.:  60 Prediction:  bigstuffedanimal\n",
      "Frame No.:  65 Prediction:  bigstuffedanimal\n",
      "Frame No.:  70 Prediction:  bigstuffedanimal\n",
      "Frame No.:  75 Prediction:  bigstuffedanimal\n",
      "Frame No.:  80 Prediction:  bigstuffedanimal\n",
      "Frame No.:  85 Prediction:  bigstuffedanimal\n",
      "Frame No.:  90 Prediction:  bigstuffedanimal\n",
      "Frame No.:  95 Prediction:  bigstuffedanimal\n",
      "Frame No.:  100 Prediction:  bigstuffedanimal\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  12\n",
      "True Category:  bigstuffedanimal\n",
      "Frame No.:  5 Prediction:  bigstuffedanimal\n",
      "Frame No.:  10 Prediction:  bigstuffedanimal\n",
      "Frame No.:  15 Prediction:  bigstuffedanimal\n",
      "Frame No.:  20 Prediction:  bigstuffedanimal\n",
      "Frame No.:  25 Prediction:  bigstuffedanimal\n",
      "Frame No.:  30 Prediction:  bigstuffedanimal\n",
      "Frame No.:  35 Prediction:  bigstuffedanimal\n",
      "Frame No.:  40 Prediction:  bigstuffedanimal\n",
      "Frame No.:  45 Prediction:  bigstuffedanimal\n",
      "Frame No.:  50 Prediction:  bigstuffedanimal\n",
      "Frame No.:  55 Prediction:  bigstuffedanimal\n",
      "Frame No.:  60 Prediction:  bigstuffedanimal\n",
      "Frame No.:  65 Prediction:  bigstuffedanimal\n",
      "Frame No.:  70 Prediction:  bigstuffedanimal\n",
      "Frame No.:  75 Prediction:  bigstuffedanimal\n",
      "Frame No.:  80 Prediction:  bigstuffedanimal\n",
      "Frame No.:  85 Prediction:  bigstuffedanimal\n",
      "Frame No.:  90 Prediction:  bigstuffedanimal\n",
      "Frame No.:  95 Prediction:  bigstuffedanimal\n",
      "Frame No.:  100 Prediction:  bigstuffedanimal\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  13\n",
      "True Category:  bigstuffedanimal\n",
      "Frame No.:  5 Prediction:  basket\n",
      "Frame No.:  10 Prediction:  basket\n",
      "Frame No.:  15 Prediction:  basket\n",
      "Frame No.:  20 Prediction:  basket\n",
      "Frame No.:  25 Prediction:  tin\n",
      "Frame No.:  30 Prediction:  tin\n",
      "Frame No.:  35 Prediction:  tin\n",
      "Frame No.:  40 Prediction:  tin\n",
      "Frame No.:  45 Prediction:  tin\n",
      "Frame No.:  50 Prediction:  tin\n",
      "Frame No.:  55 Prediction:  tin\n",
      "Frame No.:  60 Prediction:  tin\n",
      "Frame No.:  65 Prediction:  tin\n",
      "Frame No.:  70 Prediction:  tin\n",
      "Frame No.:  75 Prediction:  tin\n",
      "Frame No.:  80 Prediction:  tin\n",
      "Frame No.:  85 Prediction:  tin\n",
      "Frame No.:  90 Prediction:  tin\n",
      "Frame No.:  95 Prediction:  tin\n",
      "Frame No.:  100 Prediction:  tin\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  14\n",
      "True Category:  bigstuffedanimal\n",
      "Frame No.:  5 Prediction:  bigstuffedanimal\n",
      "Frame No.:  10 Prediction:  bigstuffedanimal\n",
      "Frame No.:  15 Prediction:  bigstuffedanimal\n",
      "Frame No.:  20 Prediction:  bigstuffedanimal\n",
      "Frame No.:  25 Prediction:  bigstuffedanimal\n",
      "Frame No.:  30 Prediction:  bigstuffedanimal\n",
      "Frame No.:  35 Prediction:  bigstuffedanimal\n",
      "Frame No.:  40 Prediction:  bigstuffedanimal\n",
      "Frame No.:  45 Prediction:  bigstuffedanimal\n",
      "Frame No.:  50 Prediction:  bigstuffedanimal\n",
      "Frame No.:  55 Prediction:  bigstuffedanimal\n",
      "Frame No.:  60 Prediction:  bigstuffedanimal\n",
      "Frame No.:  65 Prediction:  bigstuffedanimal\n",
      "Frame No.:  70 Prediction:  bigstuffedanimal\n",
      "Frame No.:  75 Prediction:  bigstuffedanimal\n",
      "Frame No.:  80 Prediction:  bigstuffedanimal\n",
      "Frame No.:  85 Prediction:  bigstuffedanimal\n",
      "Frame No.:  90 Prediction:  bigstuffedanimal\n",
      "Frame No.:  95 Prediction:  bigstuffedanimal\n",
      "Frame No.:  100 Prediction:  bigstuffedanimal\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  15\n",
      "True Category:  bigstuffedanimal\n",
      "Frame No.:  5 Prediction:  smallstuffedanimal\n",
      "Frame No.:  10 Prediction:  smallstuffedanimal\n",
      "Frame No.:  15 Prediction:  smallstuffedanimal\n",
      "Frame No.:  20 Prediction:  smallstuffedanimal\n",
      "Frame No.:  25 Prediction:  egg\n",
      "Frame No.:  30 Prediction:  smallstuffedanimal\n",
      "Frame No.:  35 Prediction:  cannedfood\n",
      "Frame No.:  40 Prediction:  smallstuffedanimal\n",
      "Frame No.:  45 Prediction:  smallstuffedanimal\n",
      "Frame No.:  50 Prediction:  smallstuffedanimal\n",
      "Frame No.:  55 Prediction:  smallstuffedanimal\n",
      "Frame No.:  60 Prediction:  smallstuffedanimal\n",
      "Frame No.:  65 Prediction:  smallstuffedanimal\n",
      "Frame No.:  70 Prediction:  smallstuffedanimal\n",
      "Frame No.:  75 Prediction:  smallstuffedanimal\n",
      "Frame No.:  80 Prediction:  smallstuffedanimal\n",
      "Frame No.:  85 Prediction:  smallstuffedanimal\n",
      "Frame No.:  90 Prediction:  smallstuffedanimal\n",
      "Frame No.:  95 Prediction:  smallstuffedanimal\n",
      "Frame No.:  100 Prediction:  smallstuffedanimal\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  16\n",
      "True Category:  bottle\n",
      "Frame No.:  5 Prediction:  bigstuffedanimal\n",
      "Frame No.:  10 Prediction:  bigstuffedanimal\n",
      "Frame No.:  15 Prediction:  bottle\n",
      "Frame No.:  20 Prediction:  bottle\n",
      "Frame No.:  25 Prediction:  bottle\n",
      "Frame No.:  30 Prediction:  can\n",
      "Frame No.:  35 Prediction:  bottle\n",
      "Frame No.:  40 Prediction:  bottle\n",
      "Frame No.:  45 Prediction:  bottle\n",
      "Frame No.:  50 Prediction:  can\n",
      "Frame No.:  55 Prediction:  can\n",
      "Frame No.:  60 Prediction:  bottle\n",
      "Frame No.:  65 Prediction:  bottle\n",
      "Frame No.:  70 Prediction:  bottle\n",
      "Frame No.:  75 Prediction:  bottle\n",
      "Frame No.:  80 Prediction:  bottle\n",
      "Frame No.:  85 Prediction:  bottle\n",
      "Frame No.:  90 Prediction:  bottle\n",
      "Frame No.:  95 Prediction:  bottle\n",
      "Frame No.:  100 Prediction:  bottle\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  17\n",
      "True Category:  bottle\n",
      "Frame No.:  5 Prediction:  noodle\n",
      "Frame No.:  10 Prediction:  noodle\n",
      "Frame No.:  15 Prediction:  noodle\n",
      "Frame No.:  20 Prediction:  bottle\n",
      "Frame No.:  25 Prediction:  noodle\n",
      "Frame No.:  30 Prediction:  can\n",
      "Frame No.:  35 Prediction:  noodle\n",
      "Frame No.:  40 Prediction:  noodle\n",
      "Frame No.:  45 Prediction:  pvc\n",
      "Frame No.:  50 Prediction:  pvc\n",
      "Frame No.:  55 Prediction:  bottle\n",
      "Frame No.:  60 Prediction:  noodle\n",
      "Frame No.:  65 Prediction:  noodle\n",
      "Frame No.:  70 Prediction:  metal\n",
      "Frame No.:  75 Prediction:  bottle\n",
      "Frame No.:  80 Prediction:  noodle\n",
      "Frame No.:  85 Prediction:  bottle\n",
      "Frame No.:  90 Prediction:  bottle\n",
      "Frame No.:  95 Prediction:  bottle\n",
      "Frame No.:  100 Prediction:  bottle\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  18\n",
      "True Category:  bottle\n",
      "Frame No.:  5 Prediction:  egg\n",
      "Frame No.:  10 Prediction:  egg\n",
      "Frame No.:  15 Prediction:  egg\n",
      "Frame No.:  20 Prediction:  egg\n",
      "Frame No.:  25 Prediction:  egg\n",
      "Frame No.:  30 Prediction:  can\n",
      "Frame No.:  35 Prediction:  can\n",
      "Frame No.:  40 Prediction:  can\n",
      "Frame No.:  45 Prediction:  can\n",
      "Frame No.:  50 Prediction:  can\n",
      "Frame No.:  55 Prediction:  can\n",
      "Frame No.:  60 Prediction:  can\n",
      "Frame No.:  65 Prediction:  can\n",
      "Frame No.:  70 Prediction:  can\n",
      "Frame No.:  75 Prediction:  can\n",
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      "Frame No.:  85 Prediction:  can\n",
      "Frame No.:  90 Prediction:  can\n",
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      "Frame No.:  100 Prediction:  can\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  19\n",
      "True Category:  bottle\n",
      "Frame No.:  5 Prediction:  eggcoloringcup\n",
      "Frame No.:  10 Prediction:  can\n",
      "Frame No.:  15 Prediction:  can\n",
      "Frame No.:  20 Prediction:  can\n",
      "Frame No.:  25 Prediction:  can\n",
      "Frame No.:  30 Prediction:  eggcoloringcup\n",
      "Frame No.:  35 Prediction:  eggcoloringcup\n",
      "Frame No.:  40 Prediction:  can\n",
      "Frame No.:  45 Prediction:  eggcoloringcup\n",
      "Frame No.:  50 Prediction:  can\n",
      "Frame No.:  55 Prediction:  can\n",
      "Frame No.:  60 Prediction:  can\n",
      "Frame No.:  65 Prediction:  can\n",
      "Frame No.:  70 Prediction:  bottle\n",
      "Frame No.:  75 Prediction:  can\n",
      "Frame No.:  80 Prediction:  eggcoloringcup\n",
      "Frame No.:  85 Prediction:  can\n",
      "Frame No.:  90 Prediction:  can\n",
      "Frame No.:  95 Prediction:  can\n",
      "Frame No.:  100 Prediction:  can\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  20\n",
      "True Category:  bottle\n",
      "Frame No.:  5 Prediction:  can\n",
      "Frame No.:  10 Prediction:  can\n",
      "Frame No.:  15 Prediction:  pvc\n",
      "Frame No.:  20 Prediction:  pvc\n",
      "Frame No.:  25 Prediction:  can\n",
      "Frame No.:  30 Prediction:  can\n",
      "Frame No.:  35 Prediction:  can\n",
      "Frame No.:  40 Prediction:  can\n",
      "Frame No.:  45 Prediction:  can\n",
      "Frame No.:  50 Prediction:  can\n",
      "Frame No.:  55 Prediction:  can\n",
      "Frame No.:  60 Prediction:  can\n",
      "Frame No.:  65 Prediction:  can\n",
      "Frame No.:  70 Prediction:  can\n",
      "Frame No.:  75 Prediction:  can\n",
      "Frame No.:  80 Prediction:  can\n",
      "Frame No.:  85 Prediction:  can\n",
      "Frame No.:  90 Prediction:  can\n",
      "Frame No.:  95 Prediction:  can\n",
      "Frame No.:  100 Prediction:  can\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  21\n",
      "True Category:  can\n",
      "Frame No.:  5 Prediction:  ball\n",
      "Frame No.:  10 Prediction:  ball\n",
      "Frame No.:  15 Prediction:  ball\n",
      "Frame No.:  20 Prediction:  ball\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Frame No.:  25 Prediction:  ball\n",
      "Frame No.:  30 Prediction:  ball\n",
      "Frame No.:  35 Prediction:  ball\n",
      "Frame No.:  40 Prediction:  ball\n",
      "Frame No.:  45 Prediction:  ball\n",
      "Frame No.:  50 Prediction:  ball\n",
      "Frame No.:  55 Prediction:  ball\n",
      "Frame No.:  60 Prediction:  ball\n",
      "Frame No.:  65 Prediction:  ball\n",
      "Frame No.:  70 Prediction:  ball\n",
      "Frame No.:  75 Prediction:  ball\n",
      "Frame No.:  80 Prediction:  ball\n",
      "Frame No.:  85 Prediction:  ball\n",
      "Frame No.:  90 Prediction:  ball\n",
      "Frame No.:  95 Prediction:  ball\n",
      "Frame No.:  100 Prediction:  ball\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  22\n",
      "True Category:  can\n",
      "Frame No.:  5 Prediction:  ball\n",
      "Frame No.:  10 Prediction:  ball\n",
      "Frame No.:  15 Prediction:  ball\n",
      "Frame No.:  20 Prediction:  ball\n",
      "Frame No.:  25 Prediction:  ball\n",
      "Frame No.:  30 Prediction:  ball\n",
      "Frame No.:  35 Prediction:  ball\n",
      "Frame No.:  40 Prediction:  ball\n",
      "Frame No.:  45 Prediction:  ball\n",
      "Frame No.:  50 Prediction:  ball\n",
      "Frame No.:  55 Prediction:  ball\n",
      "Frame No.:  60 Prediction:  ball\n",
      "Frame No.:  65 Prediction:  ball\n",
      "Frame No.:  70 Prediction:  ball\n",
      "Frame No.:  75 Prediction:  ball\n",
      "Frame No.:  80 Prediction:  ball\n",
      "Frame No.:  85 Prediction:  ball\n",
      "Frame No.:  90 Prediction:  ball\n",
      "Frame No.:  95 Prediction:  ball\n",
      "Frame No.:  100 Prediction:  ball\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  23\n",
      "True Category:  can\n",
      "Frame No.:  5 Prediction:  egg\n",
      "Frame No.:  10 Prediction:  pvc\n",
      "Frame No.:  15 Prediction:  can\n",
      "Frame No.:  20 Prediction:  can\n",
      "Frame No.:  25 Prediction:  egg\n",
      "Frame No.:  30 Prediction:  can\n",
      "Frame No.:  35 Prediction:  can\n",
      "Frame No.:  40 Prediction:  can\n",
      "Frame No.:  45 Prediction:  can\n",
      "Frame No.:  50 Prediction:  can\n",
      "Frame No.:  55 Prediction:  can\n",
      "Frame No.:  60 Prediction:  can\n",
      "Frame No.:  65 Prediction:  can\n",
      "Frame No.:  70 Prediction:  can\n",
      "Frame No.:  75 Prediction:  can\n",
      "Frame No.:  80 Prediction:  can\n",
      "Frame No.:  85 Prediction:  can\n",
      "Frame No.:  90 Prediction:  can\n",
      "Frame No.:  95 Prediction:  can\n",
      "Frame No.:  100 Prediction:  can\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  24\n",
      "True Category:  can\n",
      "Frame No.:  5 Prediction:  tin\n",
      "Frame No.:  10 Prediction:  tin\n",
      "Frame No.:  15 Prediction:  tin\n",
      "Frame No.:  20 Prediction:  tin\n",
      "Frame No.:  25 Prediction:  tin\n",
      "Frame No.:  30 Prediction:  tin\n",
      "Frame No.:  35 Prediction:  tin\n",
      "Frame No.:  40 Prediction:  tin\n",
      "Frame No.:  45 Prediction:  tin\n",
      "Frame No.:  50 Prediction:  tin\n",
      "Frame No.:  55 Prediction:  tin\n",
      "Frame No.:  60 Prediction:  tin\n",
      "Frame No.:  65 Prediction:  tin\n",
      "Frame No.:  70 Prediction:  tin\n",
      "Frame No.:  75 Prediction:  tin\n",
      "Frame No.:  80 Prediction:  tin\n",
      "Frame No.:  85 Prediction:  tin\n",
      "Frame No.:  90 Prediction:  tin\n",
      "Frame No.:  95 Prediction:  tin\n",
      "Frame No.:  100 Prediction:  tin\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  25\n",
      "True Category:  can\n",
      "Frame No.:  5 Prediction:  can\n",
      "Frame No.:  10 Prediction:  can\n",
      "Frame No.:  15 Prediction:  can\n",
      "Frame No.:  20 Prediction:  can\n",
      "Frame No.:  25 Prediction:  can\n",
      "Frame No.:  30 Prediction:  can\n",
      "Frame No.:  35 Prediction:  can\n",
      "Frame No.:  40 Prediction:  can\n",
      "Frame No.:  45 Prediction:  can\n",
      "Frame No.:  50 Prediction:  can\n",
      "Frame No.:  55 Prediction:  can\n",
      "Frame No.:  60 Prediction:  can\n",
      "Frame No.:  65 Prediction:  can\n",
      "Frame No.:  70 Prediction:  can\n",
      "Frame No.:  75 Prediction:  can\n",
      "Frame No.:  80 Prediction:  can\n",
      "Frame No.:  85 Prediction:  can\n",
      "Frame No.:  90 Prediction:  can\n",
      "Frame No.:  95 Prediction:  can\n",
      "Frame No.:  100 Prediction:  can\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  26\n",
      "True Category:  cannedfood\n",
      "Frame No.:  5 Prediction:  basket\n",
      "Frame No.:  10 Prediction:  basket\n",
      "Frame No.:  15 Prediction:  basket\n",
      "Frame No.:  20 Prediction:  egg\n",
      "Frame No.:  25 Prediction:  smallstuffedanimal\n",
      "Frame No.:  30 Prediction:  smallstuffedanimal\n",
      "Frame No.:  35 Prediction:  weight\n",
      "Frame No.:  40 Prediction:  timber\n",
      "Frame No.:  45 Prediction:  timber\n",
      "Frame No.:  50 Prediction:  timber\n",
      "Frame No.:  55 Prediction:  timber\n",
      "Frame No.:  60 Prediction:  timber\n",
      "Frame No.:  65 Prediction:  timber\n",
      "Frame No.:  70 Prediction:  timber\n",
      "Frame No.:  75 Prediction:  timber\n",
      "Frame No.:  80 Prediction:  timber\n",
      "Frame No.:  85 Prediction:  timber\n",
      "Frame No.:  90 Prediction:  timber\n",
      "Frame No.:  95 Prediction:  timber\n",
      "Frame No.:  100 Prediction:  timber\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  27\n",
      "True Category:  cannedfood\n",
      "Frame No.:  5 Prediction:  cone\n",
      "Frame No.:  10 Prediction:  medicine\n",
      "Frame No.:  15 Prediction:  medicine\n",
      "Frame No.:  20 Prediction:  medicine\n",
      "Frame No.:  25 Prediction:  smallstuffedanimal\n",
      "Frame No.:  30 Prediction:  cannedfood\n",
      "Frame No.:  35 Prediction:  cannedfood\n",
      "Frame No.:  40 Prediction:  cannedfood\n",
      "Frame No.:  45 Prediction:  cannedfood\n",
      "Frame No.:  50 Prediction:  cannedfood\n",
      "Frame No.:  55 Prediction:  cannedfood\n",
      "Frame No.:  60 Prediction:  cannedfood\n",
      "Frame No.:  65 Prediction:  cannedfood\n",
      "Frame No.:  70 Prediction:  cannedfood\n",
      "Frame No.:  75 Prediction:  cannedfood\n",
      "Frame No.:  80 Prediction:  cannedfood\n",
      "Frame No.:  85 Prediction:  cannedfood\n",
      "Frame No.:  90 Prediction:  cannedfood\n",
      "Frame No.:  95 Prediction:  cannedfood\n",
      "Frame No.:  100 Prediction:  cannedfood\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  28\n",
      "True Category:  cannedfood\n",
      "Frame No.:  5 Prediction:  cone\n",
      "Frame No.:  10 Prediction:  cone\n",
      "Frame No.:  15 Prediction:  cone\n",
      "Frame No.:  20 Prediction:  cone\n",
      "Frame No.:  25 Prediction:  cone\n",
      "Frame No.:  30 Prediction:  cone\n",
      "Frame No.:  35 Prediction:  cone\n",
      "Frame No.:  40 Prediction:  cone\n",
      "Frame No.:  45 Prediction:  cone\n",
      "Frame No.:  50 Prediction:  cone\n",
      "Frame No.:  55 Prediction:  cone\n",
      "Frame No.:  60 Prediction:  cone\n",
      "Frame No.:  65 Prediction:  cone\n",
      "Frame No.:  70 Prediction:  cone\n",
      "Frame No.:  75 Prediction:  cone\n",
      "Frame No.:  80 Prediction:  cone\n",
      "Frame No.:  85 Prediction:  cone\n",
      "Frame No.:  90 Prediction:  cone\n",
      "Frame No.:  95 Prediction:  cone\n",
      "Frame No.:  100 Prediction:  cone\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  29\n",
      "True Category:  cannedfood\n",
      "Frame No.:  5 Prediction:  basket\n",
      "Frame No.:  10 Prediction:  basket\n",
      "Frame No.:  15 Prediction:  basket\n",
      "Frame No.:  20 Prediction:  basket\n",
      "Frame No.:  25 Prediction:  tin\n",
      "Frame No.:  30 Prediction:  cannedfood\n",
      "Frame No.:  35 Prediction:  pasta\n",
      "Frame No.:  40 Prediction:  pasta\n",
      "Frame No.:  45 Prediction:  pasta\n",
      "Frame No.:  50 Prediction:  pasta\n",
      "Frame No.:  55 Prediction:  pasta\n",
      "Frame No.:  60 Prediction:  pasta\n",
      "Frame No.:  65 Prediction:  pasta\n",
      "Frame No.:  70 Prediction:  pasta\n",
      "Frame No.:  75 Prediction:  pasta\n",
      "Frame No.:  80 Prediction:  pasta\n",
      "Frame No.:  85 Prediction:  pasta\n",
      "Frame No.:  90 Prediction:  pasta\n",
      "Frame No.:  95 Prediction:  pasta\n",
      "Frame No.:  100 Prediction:  pasta\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  30\n",
      "True Category:  cannedfood\n",
      "Frame No.:  5 Prediction:  cone\n",
      "Frame No.:  10 Prediction:  medicine\n",
      "Frame No.:  15 Prediction:  medicine\n",
      "Frame No.:  20 Prediction:  medicine\n",
      "Frame No.:  25 Prediction:  tin\n",
      "Frame No.:  30 Prediction:  cannedfood\n",
      "Frame No.:  35 Prediction:  pasta\n",
      "Frame No.:  40 Prediction:  pasta\n",
      "Frame No.:  45 Prediction:  pasta\n",
      "Frame No.:  50 Prediction:  pasta\n",
      "Frame No.:  55 Prediction:  cannedfood\n",
      "Frame No.:  60 Prediction:  pasta\n",
      "Frame No.:  65 Prediction:  pasta\n",
      "Frame No.:  70 Prediction:  pasta\n",
      "Frame No.:  75 Prediction:  pasta\n",
      "Frame No.:  80 Prediction:  pasta\n",
      "Frame No.:  85 Prediction:  pasta\n",
      "Frame No.:  90 Prediction:  pasta\n",
      "Frame No.:  95 Prediction:  pasta\n",
      "Frame No.:  100 Prediction:  pasta\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  31\n",
      "True Category:  cone\n",
      "Frame No.:  5 Prediction:  cone\n",
      "Frame No.:  10 Prediction:  cone\n",
      "Frame No.:  15 Prediction:  cone\n",
      "Frame No.:  20 Prediction:  cone\n",
      "Frame No.:  25 Prediction:  cone\n",
      "Frame No.:  30 Prediction:  cone\n",
      "Frame No.:  35 Prediction:  can\n",
      "Frame No.:  40 Prediction:  cone\n",
      "Frame No.:  45 Prediction:  cone\n",
      "Frame No.:  50 Prediction:  cone\n",
      "Frame No.:  55 Prediction:  cone\n",
      "Frame No.:  60 Prediction:  cone\n",
      "Frame No.:  65 Prediction:  cone\n",
      "Frame No.:  70 Prediction:  cone\n",
      "Frame No.:  75 Prediction:  cone\n",
      "Frame No.:  80 Prediction:  cone\n",
      "Frame No.:  85 Prediction:  cone\n",
      "Frame No.:  90 Prediction:  cone\n",
      "Frame No.:  95 Prediction:  cone\n",
      "Frame No.:  100 Prediction:  cone\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  32\n",
      "True Category:  cone\n",
      "Frame No.:  5 Prediction:  cannedfood\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Frame No.:  10 Prediction:  cup\n",
      "Frame No.:  15 Prediction:  cup\n",
      "Frame No.:  20 Prediction:  cannedfood\n",
      "Frame No.:  25 Prediction:  cannedfood\n",
      "Frame No.:  30 Prediction:  cup\n",
      "Frame No.:  35 Prediction:  cannedfood\n",
      "Frame No.:  40 Prediction:  cannedfood\n",
      "Frame No.:  45 Prediction:  cannedfood\n",
      "Frame No.:  50 Prediction:  cannedfood\n",
      "Frame No.:  55 Prediction:  cup\n",
      "Frame No.:  60 Prediction:  cannedfood\n",
      "Frame No.:  65 Prediction:  cannedfood\n",
      "Frame No.:  70 Prediction:  cannedfood\n",
      "Frame No.:  75 Prediction:  cannedfood\n",
      "Frame No.:  80 Prediction:  cannedfood\n",
      "Frame No.:  85 Prediction:  cannedfood\n",
      "Frame No.:  90 Prediction:  cannedfood\n",
      "Frame No.:  95 Prediction:  cannedfood\n",
      "Frame No.:  100 Prediction:  cannedfood\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  33\n",
      "True Category:  cone\n",
      "Frame No.:  5 Prediction:  cup\n",
      "Frame No.:  10 Prediction:  cup\n",
      "Frame No.:  15 Prediction:  cup\n",
      "Frame No.:  20 Prediction:  cup\n",
      "Frame No.:  25 Prediction:  cup\n",
      "Frame No.:  30 Prediction:  cup\n",
      "Frame No.:  35 Prediction:  cup\n",
      "Frame No.:  40 Prediction:  cup\n",
      "Frame No.:  45 Prediction:  cone\n",
      "Frame No.:  50 Prediction:  cup\n",
      "Frame No.:  55 Prediction:  cup\n",
      "Frame No.:  60 Prediction:  cup\n",
      "Frame No.:  65 Prediction:  cone\n",
      "Frame No.:  70 Prediction:  cone\n",
      "Frame No.:  75 Prediction:  cone\n",
      "Frame No.:  80 Prediction:  cup\n",
      "Frame No.:  85 Prediction:  cone\n",
      "Frame No.:  90 Prediction:  cone\n",
      "Frame No.:  95 Prediction:  cone\n",
      "Frame No.:  100 Prediction:  cone\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  34\n",
      "True Category:  cone\n",
      "Frame No.:  5 Prediction:  bigstuffedanimal\n",
      "Frame No.:  10 Prediction:  cannedfood\n",
      "Frame No.:  15 Prediction:  cannedfood\n",
      "Frame No.:  20 Prediction:  cannedfood\n",
      "Frame No.:  25 Prediction:  cannedfood\n",
      "Frame No.:  30 Prediction:  cannedfood\n",
      "Frame No.:  35 Prediction:  basket\n",
      "Frame No.:  40 Prediction:  basket\n",
      "Frame No.:  45 Prediction:  cannedfood\n",
      "Frame No.:  50 Prediction:  cannedfood\n",
      "Frame No.:  55 Prediction:  cannedfood\n",
      "Frame No.:  60 Prediction:  basket\n",
      "Frame No.:  65 Prediction:  cannedfood\n",
      "Frame No.:  70 Prediction:  cannedfood\n",
      "Frame No.:  75 Prediction:  cannedfood\n",
      "Frame No.:  80 Prediction:  cannedfood\n",
      "Frame No.:  85 Prediction:  cannedfood\n",
      "Frame No.:  90 Prediction:  cannedfood\n",
      "Frame No.:  95 Prediction:  cannedfood\n",
      "Frame No.:  100 Prediction:  cannedfood\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  35\n",
      "True Category:  cone\n",
      "Frame No.:  5 Prediction:  weight\n",
      "Frame No.:  10 Prediction:  weight\n",
      "Frame No.:  15 Prediction:  bigstuffedanimal\n",
      "Frame No.:  20 Prediction:  weight\n",
      "Frame No.:  25 Prediction:  bigstuffedanimal\n",
      "Frame No.:  30 Prediction:  bigstuffedanimal\n",
      "Frame No.:  35 Prediction:  weight\n",
      "Frame No.:  40 Prediction:  weight\n",
      "Frame No.:  45 Prediction:  weight\n",
      "Frame No.:  50 Prediction:  weight\n",
      "Frame No.:  55 Prediction:  weight\n",
      "Frame No.:  60 Prediction:  weight\n",
      "Frame No.:  65 Prediction:  weight\n",
      "Frame No.:  70 Prediction:  weight\n",
      "Frame No.:  75 Prediction:  weight\n",
      "Frame No.:  80 Prediction:  weight\n",
      "Frame No.:  85 Prediction:  weight\n",
      "Frame No.:  90 Prediction:  weight\n",
      "Frame No.:  95 Prediction:  weight\n",
      "Frame No.:  100 Prediction:  weight\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  36\n",
      "True Category:  cup\n",
      "Frame No.:  5 Prediction:  eggcoloringcup\n",
      "Frame No.:  10 Prediction:  smallstuffedanimal\n",
      "Frame No.:  15 Prediction:  basket\n",
      "Frame No.:  20 Prediction:  egg\n",
      "Frame No.:  25 Prediction:  egg\n",
      "Frame No.:  30 Prediction:  cup\n",
      "Frame No.:  35 Prediction:  egg\n",
      "Frame No.:  40 Prediction:  egg\n",
      "Frame No.:  45 Prediction:  cup\n",
      "Frame No.:  50 Prediction:  egg\n",
      "Frame No.:  55 Prediction:  basket\n",
      "Frame No.:  60 Prediction:  basket\n",
      "Frame No.:  65 Prediction:  egg\n",
      "Frame No.:  70 Prediction:  egg\n",
      "Frame No.:  75 Prediction:  egg\n",
      "Frame No.:  80 Prediction:  egg\n",
      "Frame No.:  85 Prediction:  egg\n",
      "Frame No.:  90 Prediction:  egg\n",
      "Frame No.:  95 Prediction:  egg\n",
      "Frame No.:  100 Prediction:  egg\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  37\n",
      "True Category:  cup\n",
      "Frame No.:  5 Prediction:  timber\n",
      "Frame No.:  10 Prediction:  cup\n",
      "Frame No.:  15 Prediction:  cup\n",
      "Frame No.:  20 Prediction:  cup\n",
      "Frame No.:  25 Prediction:  cup\n",
      "Frame No.:  30 Prediction:  metal\n",
      "Frame No.:  35 Prediction:  cup\n",
      "Frame No.:  40 Prediction:  cup\n",
      "Frame No.:  45 Prediction:  metal\n",
      "Frame No.:  50 Prediction:  cup\n",
      "Frame No.:  55 Prediction:  cup\n",
      "Frame No.:  60 Prediction:  cup\n",
      "Frame No.:  65 Prediction:  cup\n",
      "Frame No.:  70 Prediction:  cup\n",
      "Frame No.:  75 Prediction:  cup\n",
      "Frame No.:  80 Prediction:  cup\n",
      "Frame No.:  85 Prediction:  cup\n",
      "Frame No.:  90 Prediction:  cup\n",
      "Frame No.:  95 Prediction:  cup\n",
      "Frame No.:  100 Prediction:  cup\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  38\n",
      "True Category:  cup\n",
      "Frame No.:  5 Prediction:  timber\n",
      "Frame No.:  10 Prediction:  noodle\n",
      "Frame No.:  15 Prediction:  cup\n",
      "Frame No.:  20 Prediction:  cup\n",
      "Frame No.:  25 Prediction:  metal\n",
      "Frame No.:  30 Prediction:  noodle\n",
      "Frame No.:  35 Prediction:  noodle\n",
      "Frame No.:  40 Prediction:  cup\n",
      "Frame No.:  45 Prediction:  cup\n",
      "Frame No.:  50 Prediction:  cup\n",
      "Frame No.:  55 Prediction:  cup\n",
      "Frame No.:  60 Prediction:  cup\n",
      "Frame No.:  65 Prediction:  cup\n",
      "Frame No.:  70 Prediction:  cup\n",
      "Frame No.:  75 Prediction:  cup\n",
      "Frame No.:  80 Prediction:  cup\n",
      "Frame No.:  85 Prediction:  cup\n",
      "Frame No.:  90 Prediction:  cup\n",
      "Frame No.:  95 Prediction:  cup\n",
      "Frame No.:  100 Prediction:  cup\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  39\n",
      "True Category:  cup\n",
      "Frame No.:  5 Prediction:  tin\n",
      "Frame No.:  10 Prediction:  tin\n",
      "Frame No.:  15 Prediction:  tin\n",
      "Frame No.:  20 Prediction:  tin\n",
      "Frame No.:  25 Prediction:  tin\n",
      "Frame No.:  30 Prediction:  tin\n",
      "Frame No.:  35 Prediction:  tin\n",
      "Frame No.:  40 Prediction:  tin\n",
      "Frame No.:  45 Prediction:  tin\n",
      "Frame No.:  50 Prediction:  tin\n",
      "Frame No.:  55 Prediction:  tin\n",
      "Frame No.:  60 Prediction:  tin\n",
      "Frame No.:  65 Prediction:  tin\n",
      "Frame No.:  70 Prediction:  tin\n",
      "Frame No.:  75 Prediction:  tin\n",
      "Frame No.:  80 Prediction:  tin\n",
      "Frame No.:  85 Prediction:  tin\n",
      "Frame No.:  90 Prediction:  tin\n",
      "Frame No.:  95 Prediction:  tin\n",
      "Frame No.:  100 Prediction:  tin\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  40\n",
      "True Category:  cup\n",
      "Frame No.:  5 Prediction:  pvc\n",
      "Frame No.:  10 Prediction:  pvc\n",
      "Frame No.:  15 Prediction:  pvc\n",
      "Frame No.:  20 Prediction:  pvc\n",
      "Frame No.:  25 Prediction:  cup\n",
      "Frame No.:  30 Prediction:  eggcoloringcup\n",
      "Frame No.:  35 Prediction:  metal\n",
      "Frame No.:  40 Prediction:  eggcoloringcup\n",
      "Frame No.:  45 Prediction:  metal\n",
      "Frame No.:  50 Prediction:  eggcoloringcup\n",
      "Frame No.:  55 Prediction:  eggcoloringcup\n",
      "Frame No.:  60 Prediction:  eggcoloringcup\n",
      "Frame No.:  65 Prediction:  eggcoloringcup\n",
      "Frame No.:  70 Prediction:  eggcoloringcup\n",
      "Frame No.:  75 Prediction:  eggcoloringcup\n",
      "Frame No.:  80 Prediction:  eggcoloringcup\n",
      "Frame No.:  85 Prediction:  eggcoloringcup\n",
      "Frame No.:  90 Prediction:  eggcoloringcup\n",
      "Frame No.:  95 Prediction:  eggcoloringcup\n",
      "Frame No.:  100 Prediction:  eggcoloringcup\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  41\n",
      "True Category:  eggcoloringcup\n",
      "Frame No.:  5 Prediction:  pvc\n",
      "Frame No.:  10 Prediction:  pvc\n",
      "Frame No.:  15 Prediction:  pvc\n",
      "Frame No.:  20 Prediction:  pvc\n",
      "Frame No.:  25 Prediction:  pvc\n",
      "Frame No.:  30 Prediction:  pvc\n",
      "Frame No.:  35 Prediction:  pvc\n",
      "Frame No.:  40 Prediction:  pvc\n",
      "Frame No.:  45 Prediction:  pvc\n",
      "Frame No.:  50 Prediction:  pvc\n",
      "Frame No.:  55 Prediction:  pvc\n",
      "Frame No.:  60 Prediction:  pvc\n",
      "Frame No.:  65 Prediction:  pvc\n",
      "Frame No.:  70 Prediction:  pvc\n",
      "Frame No.:  75 Prediction:  pvc\n",
      "Frame No.:  80 Prediction:  pvc\n",
      "Frame No.:  85 Prediction:  pvc\n",
      "Frame No.:  90 Prediction:  pvc\n",
      "Frame No.:  95 Prediction:  pvc\n",
      "Frame No.:  100 Prediction:  pvc\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  42\n",
      "True Category:  eggcoloringcup\n",
      "Frame No.:  5 Prediction:  can\n",
      "Frame No.:  10 Prediction:  can\n",
      "Frame No.:  15 Prediction:  can\n",
      "Frame No.:  20 Prediction:  can\n",
      "Frame No.:  25 Prediction:  can\n",
      "Frame No.:  30 Prediction:  can\n",
      "Frame No.:  35 Prediction:  bottle\n",
      "Frame No.:  40 Prediction:  can\n",
      "Frame No.:  45 Prediction:  can\n",
      "Frame No.:  50 Prediction:  can\n",
      "Frame No.:  55 Prediction:  can\n",
      "Frame No.:  60 Prediction:  bottle\n",
      "Frame No.:  65 Prediction:  can\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Frame No.:  70 Prediction:  can\n",
      "Frame No.:  75 Prediction:  bottle\n",
      "Frame No.:  80 Prediction:  can\n",
      "Frame No.:  85 Prediction:  can\n",
      "Frame No.:  90 Prediction:  can\n",
      "Frame No.:  95 Prediction:  can\n",
      "Frame No.:  100 Prediction:  can\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  43\n",
      "True Category:  eggcoloringcup\n",
      "Frame No.:  5 Prediction:  bottle\n",
      "Frame No.:  10 Prediction:  bottle\n",
      "Frame No.:  15 Prediction:  bottle\n",
      "Frame No.:  20 Prediction:  can\n",
      "Frame No.:  25 Prediction:  bottle\n",
      "Frame No.:  30 Prediction:  eggcoloringcup\n",
      "Frame No.:  35 Prediction:  bottle\n",
      "Frame No.:  40 Prediction:  bottle\n",
      "Frame No.:  45 Prediction:  can\n",
      "Frame No.:  50 Prediction:  can\n",
      "Frame No.:  55 Prediction:  can\n",
      "Frame No.:  60 Prediction:  bottle\n",
      "Frame No.:  65 Prediction:  bottle\n",
      "Frame No.:  70 Prediction:  bottle\n",
      "Frame No.:  75 Prediction:  bottle\n",
      "Frame No.:  80 Prediction:  bottle\n",
      "Frame No.:  85 Prediction:  bottle\n",
      "Frame No.:  90 Prediction:  bottle\n",
      "Frame No.:  95 Prediction:  bottle\n",
      "Frame No.:  100 Prediction:  bottle\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  44\n",
      "True Category:  eggcoloringcup\n",
      "Frame No.:  5 Prediction:  can\n",
      "Frame No.:  10 Prediction:  can\n",
      "Frame No.:  15 Prediction:  egg\n",
      "Frame No.:  20 Prediction:  can\n",
      "Frame No.:  25 Prediction:  can\n",
      "Frame No.:  30 Prediction:  egg\n",
      "Frame No.:  35 Prediction:  egg\n",
      "Frame No.:  40 Prediction:  egg\n",
      "Frame No.:  45 Prediction:  egg\n",
      "Frame No.:  50 Prediction:  egg\n",
      "Frame No.:  55 Prediction:  egg\n",
      "Frame No.:  60 Prediction:  egg\n",
      "Frame No.:  65 Prediction:  egg\n",
      "Frame No.:  70 Prediction:  egg\n",
      "Frame No.:  75 Prediction:  egg\n",
      "Frame No.:  80 Prediction:  egg\n",
      "Frame No.:  85 Prediction:  egg\n",
      "Frame No.:  90 Prediction:  egg\n",
      "Frame No.:  95 Prediction:  egg\n",
      "Frame No.:  100 Prediction:  egg\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  45\n",
      "True Category:  eggcoloringcup\n",
      "Frame No.:  5 Prediction:  noodle\n",
      "Frame No.:  10 Prediction:  eggcoloringcup\n",
      "Frame No.:  15 Prediction:  noodle\n",
      "Frame No.:  20 Prediction:  eggcoloringcup\n",
      "Frame No.:  25 Prediction:  noodle\n",
      "Frame No.:  30 Prediction:  noodle\n",
      "Frame No.:  35 Prediction:  noodle\n",
      "Frame No.:  40 Prediction:  eggcoloringcup\n",
      "Frame No.:  45 Prediction:  eggcoloringcup\n",
      "Frame No.:  50 Prediction:  eggcoloringcup\n",
      "Frame No.:  55 Prediction:  eggcoloringcup\n",
      "Frame No.:  60 Prediction:  noodle\n",
      "Frame No.:  65 Prediction:  eggcoloringcup\n",
      "Frame No.:  70 Prediction:  eggcoloringcup\n",
      "Frame No.:  75 Prediction:  eggcoloringcup\n",
      "Frame No.:  80 Prediction:  eggcoloringcup\n",
      "Frame No.:  85 Prediction:  eggcoloringcup\n",
      "Frame No.:  90 Prediction:  eggcoloringcup\n",
      "Frame No.:  95 Prediction:  eggcoloringcup\n",
      "Frame No.:  100 Prediction:  eggcoloringcup\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  46\n",
      "True Category:  egg\n",
      "Frame No.:  5 Prediction:  noodle\n",
      "Frame No.:  10 Prediction:  noodle\n",
      "Frame No.:  15 Prediction:  noodle\n",
      "Frame No.:  20 Prediction:  noodle\n",
      "Frame No.:  25 Prediction:  noodle\n",
      "Frame No.:  30 Prediction:  noodle\n",
      "Frame No.:  35 Prediction:  noodle\n",
      "Frame No.:  40 Prediction:  noodle\n",
      "Frame No.:  45 Prediction:  noodle\n",
      "Frame No.:  50 Prediction:  noodle\n",
      "Frame No.:  55 Prediction:  noodle\n",
      "Frame No.:  60 Prediction:  noodle\n",
      "Frame No.:  65 Prediction:  noodle\n",
      "Frame No.:  70 Prediction:  noodle\n",
      "Frame No.:  75 Prediction:  noodle\n",
      "Frame No.:  80 Prediction:  noodle\n",
      "Frame No.:  85 Prediction:  noodle\n",
      "Frame No.:  90 Prediction:  noodle\n",
      "Frame No.:  95 Prediction:  noodle\n",
      "Frame No.:  100 Prediction:  noodle\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  47\n",
      "True Category:  egg\n",
      "Frame No.:  5 Prediction:  noodle\n",
      "Frame No.:  10 Prediction:  noodle\n",
      "Frame No.:  15 Prediction:  noodle\n",
      "Frame No.:  20 Prediction:  noodle\n",
      "Frame No.:  25 Prediction:  noodle\n",
      "Frame No.:  30 Prediction:  tupperware\n",
      "Frame No.:  35 Prediction:  tupperware\n",
      "Frame No.:  40 Prediction:  tupperware\n",
      "Frame No.:  45 Prediction:  tupperware\n",
      "Frame No.:  50 Prediction:  tupperware\n",
      "Frame No.:  55 Prediction:  tupperware\n",
      "Frame No.:  60 Prediction:  tupperware\n",
      "Frame No.:  65 Prediction:  tupperware\n",
      "Frame No.:  70 Prediction:  tupperware\n",
      "Frame No.:  75 Prediction:  tupperware\n",
      "Frame No.:  80 Prediction:  tupperware\n",
      "Frame No.:  85 Prediction:  tupperware\n",
      "Frame No.:  90 Prediction:  tupperware\n",
      "Frame No.:  95 Prediction:  tupperware\n",
      "Frame No.:  100 Prediction:  tupperware\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  48\n",
      "True Category:  egg\n",
      "Frame No.:  5 Prediction:  eggcoloringcup\n",
      "Frame No.:  10 Prediction:  egg\n",
      "Frame No.:  15 Prediction:  egg\n",
      "Frame No.:  20 Prediction:  egg\n",
      "Frame No.:  25 Prediction:  egg\n",
      "Frame No.:  30 Prediction:  egg\n",
      "Frame No.:  35 Prediction:  egg\n",
      "Frame No.:  40 Prediction:  egg\n",
      "Frame No.:  45 Prediction:  egg\n",
      "Frame No.:  50 Prediction:  egg\n",
      "Frame No.:  55 Prediction:  egg\n",
      "Frame No.:  60 Prediction:  egg\n",
      "Frame No.:  65 Prediction:  egg\n",
      "Frame No.:  70 Prediction:  egg\n",
      "Frame No.:  75 Prediction:  egg\n",
      "Frame No.:  80 Prediction:  egg\n",
      "Frame No.:  85 Prediction:  egg\n",
      "Frame No.:  90 Prediction:  egg\n",
      "Frame No.:  95 Prediction:  egg\n",
      "Frame No.:  100 Prediction:  egg\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  49\n",
      "True Category:  egg\n",
      "Frame No.:  5 Prediction:  basket\n",
      "Frame No.:  10 Prediction:  basket\n",
      "Frame No.:  15 Prediction:  basket\n",
      "Frame No.:  20 Prediction:  basket\n",
      "Frame No.:  25 Prediction:  basket\n",
      "Frame No.:  30 Prediction:  bigstuffedanimal\n",
      "Frame No.:  35 Prediction:  egg\n",
      "Frame No.:  40 Prediction:  egg\n",
      "Frame No.:  45 Prediction:  egg\n",
      "Frame No.:  50 Prediction:  egg\n",
      "Frame No.:  55 Prediction:  egg\n",
      "Frame No.:  60 Prediction:  egg\n",
      "Frame No.:  65 Prediction:  egg\n",
      "Frame No.:  70 Prediction:  egg\n",
      "Frame No.:  75 Prediction:  egg\n",
      "Frame No.:  80 Prediction:  egg\n",
      "Frame No.:  85 Prediction:  egg\n",
      "Frame No.:  90 Prediction:  egg\n",
      "Frame No.:  95 Prediction:  egg\n",
      "Frame No.:  100 Prediction:  egg\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  50\n",
      "True Category:  egg\n",
      "Frame No.:  5 Prediction:  eggcoloringcup\n",
      "Frame No.:  10 Prediction:  noodle\n",
      "Frame No.:  15 Prediction:  egg\n",
      "Frame No.:  20 Prediction:  egg\n",
      "Frame No.:  25 Prediction:  egg\n",
      "Frame No.:  30 Prediction:  egg\n",
      "Frame No.:  35 Prediction:  egg\n",
      "Frame No.:  40 Prediction:  egg\n",
      "Frame No.:  45 Prediction:  egg\n",
      "Frame No.:  50 Prediction:  egg\n",
      "Frame No.:  55 Prediction:  egg\n",
      "Frame No.:  60 Prediction:  egg\n",
      "Frame No.:  65 Prediction:  egg\n",
      "Frame No.:  70 Prediction:  egg\n",
      "Frame No.:  75 Prediction:  egg\n",
      "Frame No.:  80 Prediction:  egg\n",
      "Frame No.:  85 Prediction:  egg\n",
      "Frame No.:  90 Prediction:  egg\n",
      "Frame No.:  95 Prediction:  egg\n",
      "Frame No.:  100 Prediction:  egg\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  51\n",
      "True Category:  medicine\n",
      "Frame No.:  5 Prediction:  cup\n",
      "Frame No.:  10 Prediction:  medicine\n",
      "Frame No.:  15 Prediction:  cup\n",
      "Frame No.:  20 Prediction:  can\n",
      "Frame No.:  25 Prediction:  can\n",
      "Frame No.:  30 Prediction:  medicine\n",
      "Frame No.:  35 Prediction:  medicine\n",
      "Frame No.:  40 Prediction:  eggcoloringcup\n",
      "Frame No.:  45 Prediction:  medicine\n",
      "Frame No.:  50 Prediction:  medicine\n",
      "Frame No.:  55 Prediction:  medicine\n",
      "Frame No.:  60 Prediction:  medicine\n",
      "Frame No.:  65 Prediction:  eggcoloringcup\n",
      "Frame No.:  70 Prediction:  medicine\n",
      "Frame No.:  75 Prediction:  medicine\n",
      "Frame No.:  80 Prediction:  can\n",
      "Frame No.:  85 Prediction:  medicine\n",
      "Frame No.:  90 Prediction:  medicine\n",
      "Frame No.:  95 Prediction:  medicine\n",
      "Frame No.:  100 Prediction:  medicine\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  52\n",
      "True Category:  medicine\n",
      "Frame No.:  5 Prediction:  eggcoloringcup\n",
      "Frame No.:  10 Prediction:  eggcoloringcup\n",
      "Frame No.:  15 Prediction:  cup\n",
      "Frame No.:  20 Prediction:  cup\n",
      "Frame No.:  25 Prediction:  eggcoloringcup\n",
      "Frame No.:  30 Prediction:  medicine\n",
      "Frame No.:  35 Prediction:  medicine\n",
      "Frame No.:  40 Prediction:  eggcoloringcup\n",
      "Frame No.:  45 Prediction:  can\n",
      "Frame No.:  50 Prediction:  medicine\n",
      "Frame No.:  55 Prediction:  can\n",
      "Frame No.:  60 Prediction:  medicine\n",
      "Frame No.:  65 Prediction:  can\n",
      "Frame No.:  70 Prediction:  eggcoloringcup\n",
      "Frame No.:  75 Prediction:  can\n",
      "Frame No.:  80 Prediction:  can\n",
      "Frame No.:  85 Prediction:  medicine\n",
      "Frame No.:  90 Prediction:  can\n",
      "Frame No.:  95 Prediction:  medicine\n",
      "Frame No.:  100 Prediction:  can\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  53\n",
      "True Category:  medicine\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Frame No.:  5 Prediction:  medicine\n",
      "Frame No.:  10 Prediction:  medicine\n",
      "Frame No.:  15 Prediction:  medicine\n",
      "Frame No.:  20 Prediction:  medicine\n",
      "Frame No.:  25 Prediction:  medicine\n",
      "Frame No.:  30 Prediction:  medicine\n",
      "Frame No.:  35 Prediction:  medicine\n",
      "Frame No.:  40 Prediction:  medicine\n",
      "Frame No.:  45 Prediction:  medicine\n",
      "Frame No.:  50 Prediction:  medicine\n",
      "Frame No.:  55 Prediction:  medicine\n",
      "Frame No.:  60 Prediction:  medicine\n",
      "Frame No.:  65 Prediction:  medicine\n",
      "Frame No.:  70 Prediction:  medicine\n",
      "Frame No.:  75 Prediction:  medicine\n",
      "Frame No.:  80 Prediction:  medicine\n",
      "Frame No.:  85 Prediction:  medicine\n",
      "Frame No.:  90 Prediction:  medicine\n",
      "Frame No.:  95 Prediction:  medicine\n",
      "Frame No.:  100 Prediction:  medicine\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  54\n",
      "True Category:  medicine\n",
      "Frame No.:  5 Prediction:  medicine\n",
      "Frame No.:  10 Prediction:  medicine\n",
      "Frame No.:  15 Prediction:  medicine\n",
      "Frame No.:  20 Prediction:  medicine\n",
      "Frame No.:  25 Prediction:  medicine\n",
      "Frame No.:  30 Prediction:  bigstuffedanimal\n",
      "Frame No.:  35 Prediction:  medicine\n",
      "Frame No.:  40 Prediction:  medicine\n",
      "Frame No.:  45 Prediction:  medicine\n",
      "Frame No.:  50 Prediction:  medicine\n",
      "Frame No.:  55 Prediction:  medicine\n",
      "Frame No.:  60 Prediction:  medicine\n",
      "Frame No.:  65 Prediction:  medicine\n",
      "Frame No.:  70 Prediction:  medicine\n",
      "Frame No.:  75 Prediction:  medicine\n",
      "Frame No.:  80 Prediction:  medicine\n",
      "Frame No.:  85 Prediction:  medicine\n",
      "Frame No.:  90 Prediction:  medicine\n",
      "Frame No.:  95 Prediction:  medicine\n",
      "Frame No.:  100 Prediction:  medicine\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  55\n",
      "True Category:  medicine\n",
      "Frame No.:  5 Prediction:  cup\n",
      "Frame No.:  10 Prediction:  medicine\n",
      "Frame No.:  15 Prediction:  cup\n",
      "Frame No.:  20 Prediction:  cup\n",
      "Frame No.:  25 Prediction:  cup\n",
      "Frame No.:  30 Prediction:  cup\n",
      "Frame No.:  35 Prediction:  cup\n",
      "Frame No.:  40 Prediction:  cup\n",
      "Frame No.:  45 Prediction:  cup\n",
      "Frame No.:  50 Prediction:  medicine\n",
      "Frame No.:  55 Prediction:  medicine\n",
      "Frame No.:  60 Prediction:  medicine\n",
      "Frame No.:  65 Prediction:  cup\n",
      "Frame No.:  70 Prediction:  medicine\n",
      "Frame No.:  75 Prediction:  cup\n",
      "Frame No.:  80 Prediction:  medicine\n",
      "Frame No.:  85 Prediction:  medicine\n",
      "Frame No.:  90 Prediction:  cup\n",
      "Frame No.:  95 Prediction:  cup\n",
      "Frame No.:  100 Prediction:  medicine\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  56\n",
      "True Category:  metal\n",
      "Frame No.:  5 Prediction:  bigstuffedanimal\n",
      "Frame No.:  10 Prediction:  bigstuffedanimal\n",
      "Frame No.:  15 Prediction:  bigstuffedanimal\n",
      "Frame No.:  20 Prediction:  bigstuffedanimal\n",
      "Frame No.:  25 Prediction:  bigstuffedanimal\n",
      "Frame No.:  30 Prediction:  bigstuffedanimal\n",
      "Frame No.:  35 Prediction:  bigstuffedanimal\n",
      "Frame No.:  40 Prediction:  bigstuffedanimal\n",
      "Frame No.:  45 Prediction:  cannedfood\n",
      "Frame No.:  50 Prediction:  cannedfood\n",
      "Frame No.:  55 Prediction:  bigstuffedanimal\n",
      "Frame No.:  60 Prediction:  cannedfood\n",
      "Frame No.:  65 Prediction:  bigstuffedanimal\n",
      "Frame No.:  70 Prediction:  bigstuffedanimal\n",
      "Frame No.:  75 Prediction:  cannedfood\n",
      "Frame No.:  80 Prediction:  bigstuffedanimal\n",
      "Frame No.:  85 Prediction:  bigstuffedanimal\n",
      "Frame No.:  90 Prediction:  bigstuffedanimal\n",
      "Frame No.:  95 Prediction:  bigstuffedanimal\n",
      "Frame No.:  100 Prediction:  bigstuffedanimal\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  57\n",
      "True Category:  metal\n",
      "Frame No.:  5 Prediction:  tin\n",
      "Frame No.:  10 Prediction:  cone\n",
      "Frame No.:  15 Prediction:  cone\n",
      "Frame No.:  20 Prediction:  cone\n",
      "Frame No.:  25 Prediction:  cone\n",
      "Frame No.:  30 Prediction:  cone\n",
      "Frame No.:  35 Prediction:  cone\n",
      "Frame No.:  40 Prediction:  cone\n",
      "Frame No.:  45 Prediction:  cone\n",
      "Frame No.:  50 Prediction:  cone\n",
      "Frame No.:  55 Prediction:  cone\n",
      "Frame No.:  60 Prediction:  cone\n",
      "Frame No.:  65 Prediction:  cone\n",
      "Frame No.:  70 Prediction:  cone\n",
      "Frame No.:  75 Prediction:  cone\n",
      "Frame No.:  80 Prediction:  cone\n",
      "Frame No.:  85 Prediction:  cone\n",
      "Frame No.:  90 Prediction:  cone\n",
      "Frame No.:  95 Prediction:  cone\n",
      "Frame No.:  100 Prediction:  cone\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  58\n",
      "True Category:  metal\n",
      "Frame No.:  5 Prediction:  bigstuffedanimal\n",
      "Frame No.:  10 Prediction:  bigstuffedanimal\n",
      "Frame No.:  15 Prediction:  bigstuffedanimal\n",
      "Frame No.:  20 Prediction:  bigstuffedanimal\n",
      "Frame No.:  25 Prediction:  bigstuffedanimal\n",
      "Frame No.:  30 Prediction:  cannedfood\n",
      "Frame No.:  35 Prediction:  cannedfood\n",
      "Frame No.:  40 Prediction:  cannedfood\n",
      "Frame No.:  45 Prediction:  cannedfood\n",
      "Frame No.:  50 Prediction:  cannedfood\n",
      "Frame No.:  55 Prediction:  cannedfood\n",
      "Frame No.:  60 Prediction:  cannedfood\n",
      "Frame No.:  65 Prediction:  cannedfood\n",
      "Frame No.:  70 Prediction:  cannedfood\n",
      "Frame No.:  75 Prediction:  cannedfood\n",
      "Frame No.:  80 Prediction:  cannedfood\n",
      "Frame No.:  85 Prediction:  cannedfood\n",
      "Frame No.:  90 Prediction:  cannedfood\n",
      "Frame No.:  95 Prediction:  cannedfood\n",
      "Frame No.:  100 Prediction:  cannedfood\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  59\n",
      "True Category:  metal\n",
      "Frame No.:  5 Prediction:  tin\n",
      "Frame No.:  10 Prediction:  timber\n",
      "Frame No.:  15 Prediction:  tin\n",
      "Frame No.:  20 Prediction:  tin\n",
      "Frame No.:  25 Prediction:  tin\n",
      "Frame No.:  30 Prediction:  tin\n",
      "Frame No.:  35 Prediction:  tin\n",
      "Frame No.:  40 Prediction:  tin\n",
      "Frame No.:  45 Prediction:  tin\n",
      "Frame No.:  50 Prediction:  tin\n",
      "Frame No.:  55 Prediction:  tin\n",
      "Frame No.:  60 Prediction:  tin\n",
      "Frame No.:  65 Prediction:  tin\n",
      "Frame No.:  70 Prediction:  tin\n",
      "Frame No.:  75 Prediction:  tin\n",
      "Frame No.:  80 Prediction:  tin\n",
      "Frame No.:  85 Prediction:  tin\n",
      "Frame No.:  90 Prediction:  tin\n",
      "Frame No.:  95 Prediction:  tin\n",
      "Frame No.:  100 Prediction:  tin\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  60\n",
      "True Category:  metal\n",
      "Frame No.:  5 Prediction:  bigstuffedanimal\n",
      "Frame No.:  10 Prediction:  bigstuffedanimal\n",
      "Frame No.:  15 Prediction:  bigstuffedanimal\n",
      "Frame No.:  20 Prediction:  bigstuffedanimal\n",
      "Frame No.:  25 Prediction:  weight\n",
      "Frame No.:  30 Prediction:  weight\n",
      "Frame No.:  35 Prediction:  cone\n",
      "Frame No.:  40 Prediction:  cone\n",
      "Frame No.:  45 Prediction:  cone\n",
      "Frame No.:  50 Prediction:  cone\n",
      "Frame No.:  55 Prediction:  cone\n",
      "Frame No.:  60 Prediction:  weight\n",
      "Frame No.:  65 Prediction:  cone\n",
      "Frame No.:  70 Prediction:  cone\n",
      "Frame No.:  75 Prediction:  cone\n",
      "Frame No.:  80 Prediction:  cone\n",
      "Frame No.:  85 Prediction:  cone\n",
      "Frame No.:  90 Prediction:  cone\n",
      "Frame No.:  95 Prediction:  cone\n",
      "Frame No.:  100 Prediction:  cone\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  61\n",
      "True Category:  noodle\n",
      "Frame No.:  5 Prediction:  eggcoloringcup\n",
      "Frame No.:  10 Prediction:  pasta\n",
      "Frame No.:  15 Prediction:  pasta\n",
      "Frame No.:  20 Prediction:  cup\n",
      "Frame No.:  25 Prediction:  cup\n",
      "Frame No.:  30 Prediction:  cup\n",
      "Frame No.:  35 Prediction:  cup\n",
      "Frame No.:  40 Prediction:  cup\n",
      "Frame No.:  45 Prediction:  cup\n",
      "Frame No.:  50 Prediction:  pasta\n",
      "Frame No.:  55 Prediction:  cup\n",
      "Frame No.:  60 Prediction:  cup\n",
      "Frame No.:  65 Prediction:  cup\n",
      "Frame No.:  70 Prediction:  cup\n",
      "Frame No.:  75 Prediction:  cup\n",
      "Frame No.:  80 Prediction:  cup\n",
      "Frame No.:  85 Prediction:  cup\n",
      "Frame No.:  90 Prediction:  cup\n",
      "Frame No.:  95 Prediction:  cup\n",
      "Frame No.:  100 Prediction:  cup\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  62\n",
      "True Category:  noodle\n",
      "Frame No.:  5 Prediction:  bottle\n",
      "Frame No.:  10 Prediction:  noodle\n",
      "Frame No.:  15 Prediction:  noodle\n",
      "Frame No.:  20 Prediction:  eggcoloringcup\n",
      "Frame No.:  25 Prediction:  eggcoloringcup\n",
      "Frame No.:  30 Prediction:  eggcoloringcup\n",
      "Frame No.:  35 Prediction:  eggcoloringcup\n",
      "Frame No.:  40 Prediction:  eggcoloringcup\n",
      "Frame No.:  45 Prediction:  eggcoloringcup\n",
      "Frame No.:  50 Prediction:  eggcoloringcup\n",
      "Frame No.:  55 Prediction:  eggcoloringcup\n",
      "Frame No.:  60 Prediction:  eggcoloringcup\n",
      "Frame No.:  65 Prediction:  eggcoloringcup\n",
      "Frame No.:  70 Prediction:  eggcoloringcup\n",
      "Frame No.:  75 Prediction:  eggcoloringcup\n",
      "Frame No.:  80 Prediction:  eggcoloringcup\n",
      "Frame No.:  85 Prediction:  eggcoloringcup\n",
      "Frame No.:  90 Prediction:  eggcoloringcup\n",
      "Frame No.:  95 Prediction:  eggcoloringcup\n",
      "Frame No.:  100 Prediction:  eggcoloringcup\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  63\n",
      "True Category:  noodle\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Frame No.:  5 Prediction:  noodle\n",
      "Frame No.:  10 Prediction:  noodle\n",
      "Frame No.:  15 Prediction:  noodle\n",
      "Frame No.:  20 Prediction:  noodle\n",
      "Frame No.:  25 Prediction:  noodle\n",
      "Frame No.:  30 Prediction:  noodle\n",
      "Frame No.:  35 Prediction:  noodle\n",
      "Frame No.:  40 Prediction:  noodle\n",
      "Frame No.:  45 Prediction:  noodle\n",
      "Frame No.:  50 Prediction:  noodle\n",
      "Frame No.:  55 Prediction:  noodle\n",
      "Frame No.:  60 Prediction:  noodle\n",
      "Frame No.:  65 Prediction:  noodle\n",
      "Frame No.:  70 Prediction:  noodle\n",
      "Frame No.:  75 Prediction:  noodle\n",
      "Frame No.:  80 Prediction:  noodle\n",
      "Frame No.:  85 Prediction:  noodle\n",
      "Frame No.:  90 Prediction:  noodle\n",
      "Frame No.:  95 Prediction:  noodle\n",
      "Frame No.:  100 Prediction:  noodle\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  64\n",
      "True Category:  noodle\n",
      "Frame No.:  5 Prediction:  egg\n",
      "Frame No.:  10 Prediction:  egg\n",
      "Frame No.:  15 Prediction:  egg\n",
      "Frame No.:  20 Prediction:  egg\n",
      "Frame No.:  25 Prediction:  can\n",
      "Frame No.:  30 Prediction:  can\n",
      "Frame No.:  35 Prediction:  can\n",
      "Frame No.:  40 Prediction:  can\n",
      "Frame No.:  45 Prediction:  egg\n",
      "Frame No.:  50 Prediction:  can\n",
      "Frame No.:  55 Prediction:  egg\n",
      "Frame No.:  60 Prediction:  can\n",
      "Frame No.:  65 Prediction:  can\n",
      "Frame No.:  70 Prediction:  can\n",
      "Frame No.:  75 Prediction:  can\n",
      "Frame No.:  80 Prediction:  can\n",
      "Frame No.:  85 Prediction:  can\n",
      "Frame No.:  90 Prediction:  can\n",
      "Frame No.:  95 Prediction:  can\n",
      "Frame No.:  100 Prediction:  can\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  65\n",
      "True Category:  noodle\n",
      "Frame No.:  5 Prediction:  noodle\n",
      "Frame No.:  10 Prediction:  noodle\n",
      "Frame No.:  15 Prediction:  noodle\n",
      "Frame No.:  20 Prediction:  noodle\n",
      "Frame No.:  25 Prediction:  noodle\n",
      "Frame No.:  30 Prediction:  noodle\n",
      "Frame No.:  35 Prediction:  noodle\n",
      "Frame No.:  40 Prediction:  noodle\n",
      "Frame No.:  45 Prediction:  noodle\n",
      "Frame No.:  50 Prediction:  noodle\n",
      "Frame No.:  55 Prediction:  noodle\n",
      "Frame No.:  60 Prediction:  noodle\n",
      "Frame No.:  65 Prediction:  noodle\n",
      "Frame No.:  70 Prediction:  noodle\n",
      "Frame No.:  75 Prediction:  noodle\n",
      "Frame No.:  80 Prediction:  noodle\n",
      "Frame No.:  85 Prediction:  noodle\n",
      "Frame No.:  90 Prediction:  noodle\n",
      "Frame No.:  95 Prediction:  noodle\n",
      "Frame No.:  100 Prediction:  noodle\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  66\n",
      "True Category:  pasta\n",
      "Frame No.:  5 Prediction:  bigstuffedanimal\n",
      "Frame No.:  10 Prediction:  bigstuffedanimal\n",
      "Frame No.:  15 Prediction:  bigstuffedanimal\n",
      "Frame No.:  20 Prediction:  bigstuffedanimal\n",
      "Frame No.:  25 Prediction:  bigstuffedanimal\n",
      "Frame No.:  30 Prediction:  weight\n",
      "Frame No.:  35 Prediction:  weight\n",
      "Frame No.:  40 Prediction:  weight\n",
      "Frame No.:  45 Prediction:  weight\n",
      "Frame No.:  50 Prediction:  weight\n",
      "Frame No.:  55 Prediction:  weight\n",
      "Frame No.:  60 Prediction:  weight\n",
      "Frame No.:  65 Prediction:  weight\n",
      "Frame No.:  70 Prediction:  weight\n",
      "Frame No.:  75 Prediction:  weight\n",
      "Frame No.:  80 Prediction:  weight\n",
      "Frame No.:  85 Prediction:  weight\n",
      "Frame No.:  90 Prediction:  weight\n",
      "Frame No.:  95 Prediction:  weight\n",
      "Frame No.:  100 Prediction:  weight\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  67\n",
      "True Category:  pasta\n",
      "Frame No.:  5 Prediction:  can\n",
      "Frame No.:  10 Prediction:  can\n",
      "Frame No.:  15 Prediction:  can\n",
      "Frame No.:  20 Prediction:  pvc\n",
      "Frame No.:  25 Prediction:  can\n",
      "Frame No.:  30 Prediction:  pasta\n",
      "Frame No.:  35 Prediction:  bottle\n",
      "Frame No.:  40 Prediction:  bottle\n",
      "Frame No.:  45 Prediction:  bottle\n",
      "Frame No.:  50 Prediction:  bottle\n",
      "Frame No.:  55 Prediction:  bottle\n",
      "Frame No.:  60 Prediction:  bottle\n",
      "Frame No.:  65 Prediction:  bottle\n",
      "Frame No.:  70 Prediction:  bottle\n",
      "Frame No.:  75 Prediction:  bottle\n",
      "Frame No.:  80 Prediction:  bottle\n",
      "Frame No.:  85 Prediction:  bottle\n",
      "Frame No.:  90 Prediction:  bottle\n",
      "Frame No.:  95 Prediction:  bottle\n",
      "Frame No.:  100 Prediction:  bottle\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  68\n",
      "True Category:  pasta\n",
      "Frame No.:  5 Prediction:  pasta\n",
      "Frame No.:  10 Prediction:  pasta\n",
      "Frame No.:  15 Prediction:  pasta\n",
      "Frame No.:  20 Prediction:  pasta\n",
      "Frame No.:  25 Prediction:  pasta\n",
      "Frame No.:  30 Prediction:  pasta\n",
      "Frame No.:  35 Prediction:  pasta\n",
      "Frame No.:  40 Prediction:  pasta\n",
      "Frame No.:  45 Prediction:  pasta\n",
      "Frame No.:  50 Prediction:  pasta\n",
      "Frame No.:  55 Prediction:  pasta\n",
      "Frame No.:  60 Prediction:  pasta\n",
      "Frame No.:  65 Prediction:  pasta\n",
      "Frame No.:  70 Prediction:  pasta\n",
      "Frame No.:  75 Prediction:  pasta\n",
      "Frame No.:  80 Prediction:  pasta\n",
      "Frame No.:  85 Prediction:  pasta\n",
      "Frame No.:  90 Prediction:  pasta\n",
      "Frame No.:  95 Prediction:  pasta\n",
      "Frame No.:  100 Prediction:  pasta\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  69\n",
      "True Category:  pasta\n",
      "Frame No.:  5 Prediction:  cup\n",
      "Frame No.:  10 Prediction:  cup\n",
      "Frame No.:  15 Prediction:  cup\n",
      "Frame No.:  20 Prediction:  cup\n",
      "Frame No.:  25 Prediction:  cup\n",
      "Frame No.:  30 Prediction:  cup\n",
      "Frame No.:  35 Prediction:  cup\n",
      "Frame No.:  40 Prediction:  cannedfood\n",
      "Frame No.:  45 Prediction:  cup\n",
      "Frame No.:  50 Prediction:  cup\n",
      "Frame No.:  55 Prediction:  cup\n",
      "Frame No.:  60 Prediction:  cup\n",
      "Frame No.:  65 Prediction:  cup\n",
      "Frame No.:  70 Prediction:  cup\n",
      "Frame No.:  75 Prediction:  cup\n",
      "Frame No.:  80 Prediction:  cup\n",
      "Frame No.:  85 Prediction:  cup\n",
      "Frame No.:  90 Prediction:  cup\n",
      "Frame No.:  95 Prediction:  cup\n",
      "Frame No.:  100 Prediction:  cup\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  70\n",
      "True Category:  pasta\n",
      "Frame No.:  5 Prediction:  timber\n",
      "Frame No.:  10 Prediction:  timber\n",
      "Frame No.:  15 Prediction:  timber\n",
      "Frame No.:  20 Prediction:  tin\n",
      "Frame No.:  25 Prediction:  pasta\n",
      "Frame No.:  30 Prediction:  basket\n",
      "Frame No.:  35 Prediction:  pasta\n",
      "Frame No.:  40 Prediction:  pasta\n",
      "Frame No.:  45 Prediction:  pasta\n",
      "Frame No.:  50 Prediction:  pasta\n",
      "Frame No.:  55 Prediction:  pasta\n",
      "Frame No.:  60 Prediction:  pasta\n",
      "Frame No.:  65 Prediction:  pasta\n",
      "Frame No.:  70 Prediction:  pasta\n",
      "Frame No.:  75 Prediction:  pasta\n",
      "Frame No.:  80 Prediction:  pasta\n",
      "Frame No.:  85 Prediction:  pasta\n",
      "Frame No.:  90 Prediction:  pasta\n",
      "Frame No.:  95 Prediction:  pasta\n",
      "Frame No.:  100 Prediction:  pasta\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  71\n",
      "True Category:  pvc\n",
      "Frame No.:  5 Prediction:  noodle\n",
      "Frame No.:  10 Prediction:  noodle\n",
      "Frame No.:  15 Prediction:  can\n",
      "Frame No.:  20 Prediction:  pvc\n",
      "Frame No.:  25 Prediction:  can\n",
      "Frame No.:  30 Prediction:  can\n",
      "Frame No.:  35 Prediction:  can\n",
      "Frame No.:  40 Prediction:  can\n",
      "Frame No.:  45 Prediction:  can\n",
      "Frame No.:  50 Prediction:  can\n",
      "Frame No.:  55 Prediction:  can\n",
      "Frame No.:  60 Prediction:  can\n",
      "Frame No.:  65 Prediction:  can\n",
      "Frame No.:  70 Prediction:  pvc\n",
      "Frame No.:  75 Prediction:  can\n",
      "Frame No.:  80 Prediction:  can\n",
      "Frame No.:  85 Prediction:  can\n",
      "Frame No.:  90 Prediction:  can\n",
      "Frame No.:  95 Prediction:  can\n",
      "Frame No.:  100 Prediction:  can\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  72\n",
      "True Category:  pvc\n",
      "Frame No.:  5 Prediction:  pvc\n",
      "Frame No.:  10 Prediction:  pvc\n",
      "Frame No.:  15 Prediction:  pvc\n",
      "Frame No.:  20 Prediction:  medicine\n",
      "Frame No.:  25 Prediction:  pvc\n",
      "Frame No.:  30 Prediction:  pvc\n",
      "Frame No.:  35 Prediction:  medicine\n",
      "Frame No.:  40 Prediction:  pvc\n",
      "Frame No.:  45 Prediction:  pvc\n",
      "Frame No.:  50 Prediction:  medicine\n",
      "Frame No.:  55 Prediction:  pvc\n",
      "Frame No.:  60 Prediction:  pvc\n",
      "Frame No.:  65 Prediction:  pvc\n",
      "Frame No.:  70 Prediction:  pvc\n",
      "Frame No.:  75 Prediction:  pvc\n",
      "Frame No.:  80 Prediction:  pvc\n",
      "Frame No.:  85 Prediction:  pvc\n",
      "Frame No.:  90 Prediction:  pvc\n",
      "Frame No.:  95 Prediction:  pvc\n",
      "Frame No.:  100 Prediction:  pvc\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  73\n",
      "True Category:  pvc\n",
      "Frame No.:  5 Prediction:  pvc\n",
      "Frame No.:  10 Prediction:  pvc\n",
      "Frame No.:  15 Prediction:  pvc\n",
      "Frame No.:  20 Prediction:  pvc\n",
      "Frame No.:  25 Prediction:  pvc\n",
      "Frame No.:  30 Prediction:  pvc\n",
      "Frame No.:  35 Prediction:  pvc\n",
      "Frame No.:  40 Prediction:  pvc\n",
      "Frame No.:  45 Prediction:  pvc\n",
      "Frame No.:  50 Prediction:  pvc\n",
      "Frame No.:  55 Prediction:  pvc\n",
      "Frame No.:  60 Prediction:  pvc\n",
      "Frame No.:  65 Prediction:  pvc\n",
      "Frame No.:  70 Prediction:  pvc\n",
      "Frame No.:  75 Prediction:  pvc\n",
      "Frame No.:  80 Prediction:  pvc\n",
      "Frame No.:  85 Prediction:  pvc\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Frame No.:  90 Prediction:  pvc\n",
      "Frame No.:  95 Prediction:  pvc\n",
      "Frame No.:  100 Prediction:  pvc\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  74\n",
      "True Category:  pvc\n",
      "Frame No.:  5 Prediction:  pvc\n",
      "Frame No.:  10 Prediction:  pvc\n",
      "Frame No.:  15 Prediction:  pvc\n",
      "Frame No.:  20 Prediction:  pvc\n",
      "Frame No.:  25 Prediction:  pvc\n",
      "Frame No.:  30 Prediction:  pvc\n",
      "Frame No.:  35 Prediction:  pvc\n",
      "Frame No.:  40 Prediction:  pvc\n",
      "Frame No.:  45 Prediction:  eggcoloringcup\n",
      "Frame No.:  50 Prediction:  pvc\n",
      "Frame No.:  55 Prediction:  pvc\n",
      "Frame No.:  60 Prediction:  pvc\n",
      "Frame No.:  65 Prediction:  pvc\n",
      "Frame No.:  70 Prediction:  pvc\n",
      "Frame No.:  75 Prediction:  pvc\n",
      "Frame No.:  80 Prediction:  pvc\n",
      "Frame No.:  85 Prediction:  pvc\n",
      "Frame No.:  90 Prediction:  pvc\n",
      "Frame No.:  95 Prediction:  pvc\n",
      "Frame No.:  100 Prediction:  pvc\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  75\n",
      "True Category:  pvc\n",
      "Frame No.:  5 Prediction:  cup\n",
      "Frame No.:  10 Prediction:  cup\n",
      "Frame No.:  15 Prediction:  medicine\n",
      "Frame No.:  20 Prediction:  medicine\n",
      "Frame No.:  25 Prediction:  medicine\n",
      "Frame No.:  30 Prediction:  medicine\n",
      "Frame No.:  35 Prediction:  medicine\n",
      "Frame No.:  40 Prediction:  medicine\n",
      "Frame No.:  45 Prediction:  medicine\n",
      "Frame No.:  50 Prediction:  medicine\n",
      "Frame No.:  55 Prediction:  medicine\n",
      "Frame No.:  60 Prediction:  medicine\n",
      "Frame No.:  65 Prediction:  medicine\n",
      "Frame No.:  70 Prediction:  medicine\n",
      "Frame No.:  75 Prediction:  medicine\n",
      "Frame No.:  80 Prediction:  medicine\n",
      "Frame No.:  85 Prediction:  medicine\n",
      "Frame No.:  90 Prediction:  medicine\n",
      "Frame No.:  95 Prediction:  medicine\n",
      "Frame No.:  100 Prediction:  medicine\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  76\n",
      "True Category:  smallstuffedanimal\n",
      "Frame No.:  5 Prediction:  smallstuffedanimal\n",
      "Frame No.:  10 Prediction:  smallstuffedanimal\n",
      "Frame No.:  15 Prediction:  smallstuffedanimal\n",
      "Frame No.:  20 Prediction:  smallstuffedanimal\n",
      "Frame No.:  25 Prediction:  smallstuffedanimal\n",
      "Frame No.:  30 Prediction:  smallstuffedanimal\n",
      "Frame No.:  35 Prediction:  smallstuffedanimal\n",
      "Frame No.:  40 Prediction:  smallstuffedanimal\n",
      "Frame No.:  45 Prediction:  timber\n",
      "Frame No.:  50 Prediction:  smallstuffedanimal\n",
      "Frame No.:  55 Prediction:  smallstuffedanimal\n",
      "Frame No.:  60 Prediction:  smallstuffedanimal\n",
      "Frame No.:  65 Prediction:  timber\n",
      "Frame No.:  70 Prediction:  timber\n",
      "Frame No.:  75 Prediction:  smallstuffedanimal\n",
      "Frame No.:  80 Prediction:  smallstuffedanimal\n",
      "Frame No.:  85 Prediction:  smallstuffedanimal\n",
      "Frame No.:  90 Prediction:  smallstuffedanimal\n",
      "Frame No.:  95 Prediction:  smallstuffedanimal\n",
      "Frame No.:  100 Prediction:  smallstuffedanimal\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  77\n",
      "True Category:  smallstuffedanimal\n",
      "Frame No.:  5 Prediction:  smallstuffedanimal\n",
      "Frame No.:  10 Prediction:  smallstuffedanimal\n",
      "Frame No.:  15 Prediction:  smallstuffedanimal\n",
      "Frame No.:  20 Prediction:  smallstuffedanimal\n",
      "Frame No.:  25 Prediction:  smallstuffedanimal\n",
      "Frame No.:  30 Prediction:  smallstuffedanimal\n",
      "Frame No.:  35 Prediction:  basket\n",
      "Frame No.:  40 Prediction:  basket\n",
      "Frame No.:  45 Prediction:  basket\n",
      "Frame No.:  50 Prediction:  basket\n",
      "Frame No.:  55 Prediction:  basket\n",
      "Frame No.:  60 Prediction:  basket\n",
      "Frame No.:  65 Prediction:  basket\n",
      "Frame No.:  70 Prediction:  basket\n",
      "Frame No.:  75 Prediction:  basket\n",
      "Frame No.:  80 Prediction:  basket\n",
      "Frame No.:  85 Prediction:  basket\n",
      "Frame No.:  90 Prediction:  basket\n",
      "Frame No.:  95 Prediction:  basket\n",
      "Frame No.:  100 Prediction:  basket\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  78\n",
      "True Category:  smallstuffedanimal\n",
      "Frame No.:  5 Prediction:  smallstuffedanimal\n",
      "Frame No.:  10 Prediction:  smallstuffedanimal\n",
      "Frame No.:  15 Prediction:  smallstuffedanimal\n",
      "Frame No.:  20 Prediction:  smallstuffedanimal\n",
      "Frame No.:  25 Prediction:  smallstuffedanimal\n",
      "Frame No.:  30 Prediction:  timber\n",
      "Frame No.:  35 Prediction:  smallstuffedanimal\n",
      "Frame No.:  40 Prediction:  timber\n",
      "Frame No.:  45 Prediction:  timber\n",
      "Frame No.:  50 Prediction:  timber\n",
      "Frame No.:  55 Prediction:  timber\n",
      "Frame No.:  60 Prediction:  timber\n",
      "Frame No.:  65 Prediction:  timber\n",
      "Frame No.:  70 Prediction:  bigstuffedanimal\n",
      "Frame No.:  75 Prediction:  timber\n",
      "Frame No.:  80 Prediction:  timber\n",
      "Frame No.:  85 Prediction:  timber\n",
      "Frame No.:  90 Prediction:  timber\n",
      "Frame No.:  95 Prediction:  timber\n",
      "Frame No.:  100 Prediction:  timber\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  79\n",
      "True Category:  smallstuffedanimal\n",
      "Frame No.:  5 Prediction:  cone\n",
      "Frame No.:  10 Prediction:  cone\n",
      "Frame No.:  15 Prediction:  cone\n",
      "Frame No.:  20 Prediction:  cone\n",
      "Frame No.:  25 Prediction:  cone\n",
      "Frame No.:  30 Prediction:  cone\n",
      "Frame No.:  35 Prediction:  cone\n",
      "Frame No.:  40 Prediction:  cone\n",
      "Frame No.:  45 Prediction:  cone\n",
      "Frame No.:  50 Prediction:  cone\n",
      "Frame No.:  55 Prediction:  cone\n",
      "Frame No.:  60 Prediction:  cone\n",
      "Frame No.:  65 Prediction:  cone\n",
      "Frame No.:  70 Prediction:  cone\n",
      "Frame No.:  75 Prediction:  cone\n",
      "Frame No.:  80 Prediction:  cone\n",
      "Frame No.:  85 Prediction:  cone\n",
      "Frame No.:  90 Prediction:  cone\n",
      "Frame No.:  95 Prediction:  cone\n",
      "Frame No.:  100 Prediction:  cone\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  80\n",
      "True Category:  smallstuffedanimal\n",
      "Frame No.:  5 Prediction:  basket\n",
      "Frame No.:  10 Prediction:  basket\n",
      "Frame No.:  15 Prediction:  basket\n",
      "Frame No.:  20 Prediction:  basket\n",
      "Frame No.:  25 Prediction:  basket\n",
      "Frame No.:  30 Prediction:  basket\n",
      "Frame No.:  35 Prediction:  basket\n",
      "Frame No.:  40 Prediction:  basket\n",
      "Frame No.:  45 Prediction:  basket\n",
      "Frame No.:  50 Prediction:  basket\n",
      "Frame No.:  55 Prediction:  basket\n",
      "Frame No.:  60 Prediction:  basket\n",
      "Frame No.:  65 Prediction:  basket\n",
      "Frame No.:  70 Prediction:  basket\n",
      "Frame No.:  75 Prediction:  basket\n",
      "Frame No.:  80 Prediction:  basket\n",
      "Frame No.:  85 Prediction:  basket\n",
      "Frame No.:  90 Prediction:  basket\n",
      "Frame No.:  95 Prediction:  basket\n",
      "Frame No.:  100 Prediction:  basket\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  81\n",
      "True Category:  timber\n",
      "Frame No.:  5 Prediction:  smallstuffedanimal\n",
      "Frame No.:  10 Prediction:  timber\n",
      "Frame No.:  15 Prediction:  smallstuffedanimal\n",
      "Frame No.:  20 Prediction:  smallstuffedanimal\n",
      "Frame No.:  25 Prediction:  smallstuffedanimal\n",
      "Frame No.:  30 Prediction:  cup\n",
      "Frame No.:  35 Prediction:  timber\n",
      "Frame No.:  40 Prediction:  timber\n",
      "Frame No.:  45 Prediction:  timber\n",
      "Frame No.:  50 Prediction:  timber\n",
      "Frame No.:  55 Prediction:  timber\n",
      "Frame No.:  60 Prediction:  timber\n",
      "Frame No.:  65 Prediction:  timber\n",
      "Frame No.:  70 Prediction:  timber\n",
      "Frame No.:  75 Prediction:  timber\n",
      "Frame No.:  80 Prediction:  timber\n",
      "Frame No.:  85 Prediction:  timber\n",
      "Frame No.:  90 Prediction:  timber\n",
      "Frame No.:  95 Prediction:  timber\n",
      "Frame No.:  100 Prediction:  timber\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  82\n",
      "True Category:  timber\n",
      "Frame No.:  5 Prediction:  smallstuffedanimal\n",
      "Frame No.:  10 Prediction:  smallstuffedanimal\n",
      "Frame No.:  15 Prediction:  smallstuffedanimal\n",
      "Frame No.:  20 Prediction:  smallstuffedanimal\n",
      "Frame No.:  25 Prediction:  smallstuffedanimal\n",
      "Frame No.:  30 Prediction:  smallstuffedanimal\n",
      "Frame No.:  35 Prediction:  smallstuffedanimal\n",
      "Frame No.:  40 Prediction:  timber\n",
      "Frame No.:  45 Prediction:  smallstuffedanimal\n",
      "Frame No.:  50 Prediction:  timber\n",
      "Frame No.:  55 Prediction:  smallstuffedanimal\n",
      "Frame No.:  60 Prediction:  timber\n",
      "Frame No.:  65 Prediction:  timber\n",
      "Frame No.:  70 Prediction:  smallstuffedanimal\n",
      "Frame No.:  75 Prediction:  smallstuffedanimal\n",
      "Frame No.:  80 Prediction:  timber\n",
      "Frame No.:  85 Prediction:  timber\n",
      "Frame No.:  90 Prediction:  timber\n",
      "Frame No.:  95 Prediction:  timber\n",
      "Frame No.:  100 Prediction:  timber\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  83\n",
      "True Category:  timber\n",
      "Frame No.:  5 Prediction:  smallstuffedanimal\n",
      "Frame No.:  10 Prediction:  smallstuffedanimal\n",
      "Frame No.:  15 Prediction:  smallstuffedanimal\n",
      "Frame No.:  20 Prediction:  smallstuffedanimal\n",
      "Frame No.:  25 Prediction:  timber\n",
      "Frame No.:  30 Prediction:  timber\n",
      "Frame No.:  35 Prediction:  timber\n",
      "Frame No.:  40 Prediction:  timber\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Frame No.:  45 Prediction:  timber\n",
      "Frame No.:  50 Prediction:  timber\n",
      "Frame No.:  55 Prediction:  timber\n",
      "Frame No.:  60 Prediction:  timber\n",
      "Frame No.:  65 Prediction:  timber\n",
      "Frame No.:  70 Prediction:  timber\n",
      "Frame No.:  75 Prediction:  timber\n",
      "Frame No.:  80 Prediction:  timber\n",
      "Frame No.:  85 Prediction:  timber\n",
      "Frame No.:  90 Prediction:  timber\n",
      "Frame No.:  95 Prediction:  timber\n",
      "Frame No.:  100 Prediction:  timber\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  84\n",
      "True Category:  timber\n",
      "Frame No.:  5 Prediction:  smallstuffedanimal\n",
      "Frame No.:  10 Prediction:  cup\n",
      "Frame No.:  15 Prediction:  cup\n",
      "Frame No.:  20 Prediction:  cup\n",
      "Frame No.:  25 Prediction:  cup\n",
      "Frame No.:  30 Prediction:  basket\n",
      "Frame No.:  35 Prediction:  cup\n",
      "Frame No.:  40 Prediction:  cup\n",
      "Frame No.:  45 Prediction:  cup\n",
      "Frame No.:  50 Prediction:  cup\n",
      "Frame No.:  55 Prediction:  cup\n",
      "Frame No.:  60 Prediction:  cup\n",
      "Frame No.:  65 Prediction:  cup\n",
      "Frame No.:  70 Prediction:  cup\n",
      "Frame No.:  75 Prediction:  cup\n",
      "Frame No.:  80 Prediction:  cup\n",
      "Frame No.:  85 Prediction:  cup\n",
      "Frame No.:  90 Prediction:  cup\n",
      "Frame No.:  95 Prediction:  cup\n",
      "Frame No.:  100 Prediction:  cup\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  85\n",
      "True Category:  timber\n",
      "Frame No.:  5 Prediction:  smallstuffedanimal\n",
      "Frame No.:  10 Prediction:  smallstuffedanimal\n",
      "Frame No.:  15 Prediction:  smallstuffedanimal\n",
      "Frame No.:  20 Prediction:  bigstuffedanimal\n",
      "Frame No.:  25 Prediction:  cup\n",
      "Frame No.:  30 Prediction:  cup\n",
      "Frame No.:  35 Prediction:  bigstuffedanimal\n",
      "Frame No.:  40 Prediction:  bigstuffedanimal\n",
      "Frame No.:  45 Prediction:  bigstuffedanimal\n",
      "Frame No.:  50 Prediction:  bigstuffedanimal\n",
      "Frame No.:  55 Prediction:  cannedfood\n",
      "Frame No.:  60 Prediction:  bigstuffedanimal\n",
      "Frame No.:  65 Prediction:  bigstuffedanimal\n",
      "Frame No.:  70 Prediction:  bigstuffedanimal\n",
      "Frame No.:  75 Prediction:  bigstuffedanimal\n",
      "Frame No.:  80 Prediction:  bigstuffedanimal\n",
      "Frame No.:  85 Prediction:  bigstuffedanimal\n",
      "Frame No.:  90 Prediction:  bigstuffedanimal\n",
      "Frame No.:  95 Prediction:  bigstuffedanimal\n",
      "Frame No.:  100 Prediction:  bigstuffedanimal\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  86\n",
      "True Category:  tin\n",
      "Frame No.:  5 Prediction:  tin\n",
      "Frame No.:  10 Prediction:  tin\n",
      "Frame No.:  15 Prediction:  tin\n",
      "Frame No.:  20 Prediction:  tin\n",
      "Frame No.:  25 Prediction:  tin\n",
      "Frame No.:  30 Prediction:  pasta\n",
      "Frame No.:  35 Prediction:  pasta\n",
      "Frame No.:  40 Prediction:  pasta\n",
      "Frame No.:  45 Prediction:  pasta\n",
      "Frame No.:  50 Prediction:  pasta\n",
      "Frame No.:  55 Prediction:  pasta\n",
      "Frame No.:  60 Prediction:  pasta\n",
      "Frame No.:  65 Prediction:  pasta\n",
      "Frame No.:  70 Prediction:  pasta\n",
      "Frame No.:  75 Prediction:  pasta\n",
      "Frame No.:  80 Prediction:  pasta\n",
      "Frame No.:  85 Prediction:  pasta\n",
      "Frame No.:  90 Prediction:  pasta\n",
      "Frame No.:  95 Prediction:  pasta\n",
      "Frame No.:  100 Prediction:  pasta\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  87\n",
      "True Category:  tin\n",
      "Frame No.:  5 Prediction:  metal\n",
      "Frame No.:  10 Prediction:  tin\n",
      "Frame No.:  15 Prediction:  metal\n",
      "Frame No.:  20 Prediction:  pasta\n",
      "Frame No.:  25 Prediction:  cone\n",
      "Frame No.:  30 Prediction:  metal\n",
      "Frame No.:  35 Prediction:  metal\n",
      "Frame No.:  40 Prediction:  metal\n",
      "Frame No.:  45 Prediction:  metal\n",
      "Frame No.:  50 Prediction:  metal\n",
      "Frame No.:  55 Prediction:  metal\n",
      "Frame No.:  60 Prediction:  metal\n",
      "Frame No.:  65 Prediction:  metal\n",
      "Frame No.:  70 Prediction:  metal\n",
      "Frame No.:  75 Prediction:  metal\n",
      "Frame No.:  80 Prediction:  metal\n",
      "Frame No.:  85 Prediction:  metal\n",
      "Frame No.:  90 Prediction:  metal\n",
      "Frame No.:  95 Prediction:  metal\n",
      "Frame No.:  100 Prediction:  metal\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  88\n",
      "True Category:  tin\n",
      "Frame No.:  5 Prediction:  cone\n",
      "Frame No.:  10 Prediction:  cone\n",
      "Frame No.:  15 Prediction:  cone\n",
      "Frame No.:  20 Prediction:  cone\n",
      "Frame No.:  25 Prediction:  tin\n",
      "Frame No.:  30 Prediction:  basket\n",
      "Frame No.:  35 Prediction:  tin\n",
      "Frame No.:  40 Prediction:  basket\n",
      "Frame No.:  45 Prediction:  basket\n",
      "Frame No.:  50 Prediction:  basket\n",
      "Frame No.:  55 Prediction:  basket\n",
      "Frame No.:  60 Prediction:  basket\n",
      "Frame No.:  65 Prediction:  basket\n",
      "Frame No.:  70 Prediction:  basket\n",
      "Frame No.:  75 Prediction:  basket\n",
      "Frame No.:  80 Prediction:  basket\n",
      "Frame No.:  85 Prediction:  basket\n",
      "Frame No.:  90 Prediction:  basket\n",
      "Frame No.:  95 Prediction:  basket\n",
      "Frame No.:  100 Prediction:  basket\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  89\n",
      "True Category:  tin\n",
      "Frame No.:  5 Prediction:  metal\n",
      "Frame No.:  10 Prediction:  medicine\n",
      "Frame No.:  15 Prediction:  basket\n",
      "Frame No.:  20 Prediction:  tin\n",
      "Frame No.:  25 Prediction:  cone\n",
      "Frame No.:  30 Prediction:  tin\n",
      "Frame No.:  35 Prediction:  tin\n",
      "Frame No.:  40 Prediction:  tin\n",
      "Frame No.:  45 Prediction:  tin\n",
      "Frame No.:  50 Prediction:  tin\n",
      "Frame No.:  55 Prediction:  tin\n",
      "Frame No.:  60 Prediction:  tin\n",
      "Frame No.:  65 Prediction:  tin\n",
      "Frame No.:  70 Prediction:  tin\n",
      "Frame No.:  75 Prediction:  tin\n",
      "Frame No.:  80 Prediction:  tin\n",
      "Frame No.:  85 Prediction:  tin\n",
      "Frame No.:  90 Prediction:  tin\n",
      "Frame No.:  95 Prediction:  tin\n",
      "Frame No.:  100 Prediction:  tin\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  90\n",
      "True Category:  tin\n",
      "Frame No.:  5 Prediction:  metal\n",
      "Frame No.:  10 Prediction:  metal\n",
      "Frame No.:  15 Prediction:  metal\n",
      "Frame No.:  20 Prediction:  cup\n",
      "Frame No.:  25 Prediction:  ball\n",
      "Frame No.:  30 Prediction:  weight\n",
      "Frame No.:  35 Prediction:  weight\n",
      "Frame No.:  40 Prediction:  weight\n",
      "Frame No.:  45 Prediction:  metal\n",
      "Frame No.:  50 Prediction:  weight\n",
      "Frame No.:  55 Prediction:  weight\n",
      "Frame No.:  60 Prediction:  weight\n",
      "Frame No.:  65 Prediction:  weight\n",
      "Frame No.:  70 Prediction:  weight\n",
      "Frame No.:  75 Prediction:  weight\n",
      "Frame No.:  80 Prediction:  weight\n",
      "Frame No.:  85 Prediction:  weight\n",
      "Frame No.:  90 Prediction:  weight\n",
      "Frame No.:  95 Prediction:  weight\n",
      "Frame No.:  100 Prediction:  weight\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  91\n",
      "True Category:  tupperware\n",
      "Frame No.:  5 Prediction:  noodle\n",
      "Frame No.:  10 Prediction:  basket\n",
      "Frame No.:  15 Prediction:  smallstuffedanimal\n",
      "Frame No.:  20 Prediction:  basket\n",
      "Frame No.:  25 Prediction:  basket\n",
      "Frame No.:  30 Prediction:  timber\n",
      "Frame No.:  35 Prediction:  timber\n",
      "Frame No.:  40 Prediction:  timber\n",
      "Frame No.:  45 Prediction:  timber\n",
      "Frame No.:  50 Prediction:  timber\n",
      "Frame No.:  55 Prediction:  timber\n",
      "Frame No.:  60 Prediction:  timber\n",
      "Frame No.:  65 Prediction:  timber\n",
      "Frame No.:  70 Prediction:  timber\n",
      "Frame No.:  75 Prediction:  timber\n",
      "Frame No.:  80 Prediction:  timber\n",
      "Frame No.:  85 Prediction:  timber\n",
      "Frame No.:  90 Prediction:  timber\n",
      "Frame No.:  95 Prediction:  timber\n",
      "Frame No.:  100 Prediction:  timber\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  92\n",
      "True Category:  tupperware\n",
      "Frame No.:  5 Prediction:  eggcoloringcup\n",
      "Frame No.:  10 Prediction:  noodle\n",
      "Frame No.:  15 Prediction:  eggcoloringcup\n",
      "Frame No.:  20 Prediction:  noodle\n",
      "Frame No.:  25 Prediction:  noodle\n",
      "Frame No.:  30 Prediction:  tupperware\n",
      "Frame No.:  35 Prediction:  tupperware\n",
      "Frame No.:  40 Prediction:  tupperware\n",
      "Frame No.:  45 Prediction:  tupperware\n",
      "Frame No.:  50 Prediction:  tupperware\n",
      "Frame No.:  55 Prediction:  tupperware\n",
      "Frame No.:  60 Prediction:  tupperware\n",
      "Frame No.:  65 Prediction:  tupperware\n",
      "Frame No.:  70 Prediction:  tupperware\n",
      "Frame No.:  75 Prediction:  tupperware\n",
      "Frame No.:  80 Prediction:  tupperware\n",
      "Frame No.:  85 Prediction:  tupperware\n",
      "Frame No.:  90 Prediction:  tupperware\n",
      "Frame No.:  95 Prediction:  tupperware\n",
      "Frame No.:  100 Prediction:  tupperware\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  93\n",
      "True Category:  tupperware\n",
      "Frame No.:  5 Prediction:  eggcoloringcup\n",
      "Frame No.:  10 Prediction:  eggcoloringcup\n",
      "Frame No.:  15 Prediction:  eggcoloringcup\n",
      "Frame No.:  20 Prediction:  tupperware\n",
      "Frame No.:  25 Prediction:  eggcoloringcup\n",
      "Frame No.:  30 Prediction:  tupperware\n",
      "Frame No.:  35 Prediction:  tupperware\n",
      "Frame No.:  40 Prediction:  tupperware\n",
      "Frame No.:  45 Prediction:  tupperware\n",
      "Frame No.:  50 Prediction:  tupperware\n",
      "Frame No.:  55 Prediction:  tupperware\n",
      "Frame No.:  60 Prediction:  tupperware\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Frame No.:  65 Prediction:  tupperware\n",
      "Frame No.:  70 Prediction:  tupperware\n",
      "Frame No.:  75 Prediction:  tupperware\n",
      "Frame No.:  80 Prediction:  tupperware\n",
      "Frame No.:  85 Prediction:  tupperware\n",
      "Frame No.:  90 Prediction:  tupperware\n",
      "Frame No.:  95 Prediction:  tupperware\n",
      "Frame No.:  100 Prediction:  tupperware\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  94\n",
      "True Category:  tupperware\n",
      "Frame No.:  5 Prediction:  tupperware\n",
      "Frame No.:  10 Prediction:  tupperware\n",
      "Frame No.:  15 Prediction:  tupperware\n",
      "Frame No.:  20 Prediction:  tupperware\n",
      "Frame No.:  25 Prediction:  tupperware\n",
      "Frame No.:  30 Prediction:  tupperware\n",
      "Frame No.:  35 Prediction:  tupperware\n",
      "Frame No.:  40 Prediction:  tupperware\n",
      "Frame No.:  45 Prediction:  tupperware\n",
      "Frame No.:  50 Prediction:  tupperware\n",
      "Frame No.:  55 Prediction:  tupperware\n",
      "Frame No.:  60 Prediction:  tupperware\n",
      "Frame No.:  65 Prediction:  tupperware\n",
      "Frame No.:  70 Prediction:  tupperware\n",
      "Frame No.:  75 Prediction:  tupperware\n",
      "Frame No.:  80 Prediction:  tupperware\n",
      "Frame No.:  85 Prediction:  tupperware\n",
      "Frame No.:  90 Prediction:  tupperware\n",
      "Frame No.:  95 Prediction:  tupperware\n",
      "Frame No.:  100 Prediction:  tupperware\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  95\n",
      "True Category:  tupperware\n",
      "Frame No.:  5 Prediction:  noodle\n",
      "Frame No.:  10 Prediction:  noodle\n",
      "Frame No.:  15 Prediction:  noodle\n",
      "Frame No.:  20 Prediction:  noodle\n",
      "Frame No.:  25 Prediction:  tupperware\n",
      "Frame No.:  30 Prediction:  tupperware\n",
      "Frame No.:  35 Prediction:  tupperware\n",
      "Frame No.:  40 Prediction:  tupperware\n",
      "Frame No.:  45 Prediction:  tupperware\n",
      "Frame No.:  50 Prediction:  tupperware\n",
      "Frame No.:  55 Prediction:  tupperware\n",
      "Frame No.:  60 Prediction:  tupperware\n",
      "Frame No.:  65 Prediction:  tupperware\n",
      "Frame No.:  70 Prediction:  tupperware\n",
      "Frame No.:  75 Prediction:  tupperware\n",
      "Frame No.:  80 Prediction:  tupperware\n",
      "Frame No.:  85 Prediction:  tupperware\n",
      "Frame No.:  90 Prediction:  tupperware\n",
      "Frame No.:  95 Prediction:  tupperware\n",
      "Frame No.:  100 Prediction:  tupperware\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  96\n",
      "True Category:  weight\n",
      "Frame No.:  5 Prediction:  noodle\n",
      "Frame No.:  10 Prediction:  noodle\n",
      "Frame No.:  15 Prediction:  noodle\n",
      "Frame No.:  20 Prediction:  noodle\n",
      "Frame No.:  25 Prediction:  noodle\n",
      "Frame No.:  30 Prediction:  noodle\n",
      "Frame No.:  35 Prediction:  tupperware\n",
      "Frame No.:  40 Prediction:  tupperware\n",
      "Frame No.:  45 Prediction:  tupperware\n",
      "Frame No.:  50 Prediction:  tupperware\n",
      "Frame No.:  55 Prediction:  tupperware\n",
      "Frame No.:  60 Prediction:  tupperware\n",
      "Frame No.:  65 Prediction:  tupperware\n",
      "Frame No.:  70 Prediction:  tupperware\n",
      "Frame No.:  75 Prediction:  tupperware\n",
      "Frame No.:  80 Prediction:  tupperware\n",
      "Frame No.:  85 Prediction:  tupperware\n",
      "Frame No.:  90 Prediction:  tupperware\n",
      "Frame No.:  95 Prediction:  tupperware\n",
      "Frame No.:  100 Prediction:  tupperware\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  97\n",
      "True Category:  weight\n",
      "Frame No.:  5 Prediction:  smallstuffedanimal\n",
      "Frame No.:  10 Prediction:  cannedfood\n",
      "Frame No.:  15 Prediction:  smallstuffedanimal\n",
      "Frame No.:  20 Prediction:  smallstuffedanimal\n",
      "Frame No.:  25 Prediction:  smallstuffedanimal\n",
      "Frame No.:  30 Prediction:  weight\n",
      "Frame No.:  35 Prediction:  weight\n",
      "Frame No.:  40 Prediction:  weight\n",
      "Frame No.:  45 Prediction:  weight\n",
      "Frame No.:  50 Prediction:  weight\n",
      "Frame No.:  55 Prediction:  weight\n",
      "Frame No.:  60 Prediction:  weight\n",
      "Frame No.:  65 Prediction:  weight\n",
      "Frame No.:  70 Prediction:  weight\n",
      "Frame No.:  75 Prediction:  weight\n",
      "Frame No.:  80 Prediction:  weight\n",
      "Frame No.:  85 Prediction:  weight\n",
      "Frame No.:  90 Prediction:  weight\n",
      "Frame No.:  95 Prediction:  weight\n",
      "Frame No.:  100 Prediction:  weight\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  98\n",
      "True Category:  weight\n",
      "Frame No.:  5 Prediction:  pvc\n",
      "Frame No.:  10 Prediction:  cone\n",
      "Frame No.:  15 Prediction:  eggcoloringcup\n",
      "Frame No.:  20 Prediction:  cone\n",
      "Frame No.:  25 Prediction:  cone\n",
      "Frame No.:  30 Prediction:  eggcoloringcup\n",
      "Frame No.:  35 Prediction:  eggcoloringcup\n",
      "Frame No.:  40 Prediction:  eggcoloringcup\n",
      "Frame No.:  45 Prediction:  eggcoloringcup\n",
      "Frame No.:  50 Prediction:  eggcoloringcup\n",
      "Frame No.:  55 Prediction:  eggcoloringcup\n",
      "Frame No.:  60 Prediction:  eggcoloringcup\n",
      "Frame No.:  65 Prediction:  eggcoloringcup\n",
      "Frame No.:  70 Prediction:  eggcoloringcup\n",
      "Frame No.:  75 Prediction:  eggcoloringcup\n",
      "Frame No.:  80 Prediction:  eggcoloringcup\n",
      "Frame No.:  85 Prediction:  eggcoloringcup\n",
      "Frame No.:  90 Prediction:  eggcoloringcup\n",
      "Frame No.:  95 Prediction:  eggcoloringcup\n",
      "Frame No.:  100 Prediction:  eggcoloringcup\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  99\n",
      "True Category:  weight\n",
      "Frame No.:  5 Prediction:  timber\n",
      "Frame No.:  10 Prediction:  pvc\n",
      "Frame No.:  15 Prediction:  pvc\n",
      "Frame No.:  20 Prediction:  pvc\n",
      "Frame No.:  25 Prediction:  timber\n",
      "Frame No.:  30 Prediction:  tin\n",
      "Frame No.:  35 Prediction:  tin\n",
      "Frame No.:  40 Prediction:  tin\n",
      "Frame No.:  45 Prediction:  tin\n",
      "Frame No.:  50 Prediction:  tin\n",
      "Frame No.:  55 Prediction:  tin\n",
      "Frame No.:  60 Prediction:  tin\n",
      "Frame No.:  65 Prediction:  tin\n",
      "Frame No.:  70 Prediction:  tin\n",
      "Frame No.:  75 Prediction:  tin\n",
      "Frame No.:  80 Prediction:  tin\n",
      "Frame No.:  85 Prediction:  tin\n",
      "Frame No.:  90 Prediction:  tin\n",
      "Frame No.:  95 Prediction:  tin\n",
      "Frame No.:  100 Prediction:  tin\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n",
      "Example Number:  100\n",
      "True Category:  weight\n",
      "Frame No.:  5 Prediction:  timber\n",
      "Frame No.:  10 Prediction:  timber\n",
      "Frame No.:  15 Prediction:  timber\n",
      "Frame No.:  20 Prediction:  pasta\n",
      "Frame No.:  25 Prediction:  timber\n",
      "Frame No.:  30 Prediction:  basket\n",
      "Frame No.:  35 Prediction:  tin\n",
      "Frame No.:  40 Prediction:  timber\n",
      "Frame No.:  45 Prediction:  timber\n",
      "Frame No.:  50 Prediction:  basket\n",
      "Frame No.:  55 Prediction:  basket\n",
      "Frame No.:  60 Prediction:  basket\n",
      "Frame No.:  65 Prediction:  metal\n",
      "Frame No.:  70 Prediction:  timber\n",
      "Frame No.:  75 Prediction:  timber\n",
      "Frame No.:  80 Prediction:  basket\n",
      "Frame No.:  85 Prediction:  timber\n",
      "Frame No.:  90 Prediction:  basket\n",
      "Frame No.:  95 Prediction:  basket\n",
      "Frame No.:  100 Prediction:  basket\n",
      "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\n"
     ]
    }
   ],
   "source": [
    "# Predict after every 5th frame of a haptic\n",
    "\n",
    "all_frames_acc = {}\n",
    "for a_frame in range(5, frames+1, 5):\n",
    "    all_frames_acc[a_frame] = [0, 0, 0] # correct, wrong, percentage\n",
    "\n",
    "y_pred = {}\n",
    "y_score = {}\n",
    "for a_frame in range(5, frames+ 1, 5):\n",
    "    y_pred[a_frame] = []\n",
    "    y_score[a_frame] = []\n",
    "\n",
    "def fill_example(example, fill_frames, a_frame):\n",
    "    temp = []\n",
    "    temp.append(example[a_frame-1])\n",
    "    for _ in range(fill_frames):\n",
    "        example = np.concatenate((example, temp))\n",
    "    return example\n",
    "\n",
    "def give_me_complete_clip(num_of_frame, example):\n",
    "    fill_frames = frames - num_of_frame\n",
    "    if fill_frames != 0:\n",
    "        example = fill_example(example, fill_frames, num_of_frame)\n",
    "    return example\n",
    "\n",
    "with tf.Session() as sess:\n",
    "    sess.run(init)\n",
    "    saver.restore(sess, tf.train.latest_checkpoint(logs_path))\n",
    "    \n",
    "    for i_example in range(len(haptic_frames_2d_test)):\n",
    "        print(\"Example Number: \", i_example+1)\n",
    "        input_data, label_data = haptic_frames_2d_test[i_example], category_label_test_one_hot[i_example]\n",
    "        \n",
    "        truth = np.argmax(label_data, 0)+1\n",
    "        truth_cate = list(category_labels.keys())[list(category_labels.values()).index(truth)]\n",
    "        print(\"True Category: \", truth_cate)\n",
    "        \n",
    "        for a_frame in range(5, frames+1, 5):\n",
    "            \n",
    "            example = give_me_complete_clip(a_frame, input_data[0:a_frame])\n",
    "            \n",
    "            temp = []\n",
    "            temp.append(example)\n",
    "            \n",
    "            X = tf.get_default_graph().get_tensor_by_name(\"Model/InputData:0\")\n",
    "            predic = sess.run(model_dict[\"Model\"], feed_dict={X: temp, keep_prob: 1.0})\n",
    "            \n",
    "            argmax = sess.run(tf.argmax(predic, 1))+1\n",
    "            cate = list(category_labels.keys())[list(category_labels.values()).index(argmax)]\n",
    "            print(\"Frame No.: \", a_frame, \"Prediction: \", cate)\n",
    "            \n",
    "            y_pred[a_frame].extend(argmax)\n",
    "            y_score[a_frame].extend(predic)\n",
    "            \n",
    "            if truth_cate == cate:\n",
    "                all_frames_acc[a_frame][0] += 1\n",
    "            else:\n",
    "                all_frames_acc[a_frame][1] += 1\n",
    "            all_frames_acc[a_frame][2] = all_frames_acc[a_frame][0]/(all_frames_acc[a_frame][0]+all_frames_acc[a_frame][1])\n",
    "            \n",
    "        print(\"X\"*50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "Writing a CSV file that records accuracy for each frame\n",
    "\"\"\"\n",
    "\n",
    "with open(logs_path+db_file_name.split(\".\")[0]+\"_acc_every_frame.csv\",'w') as f:\n",
    "    writer = csv.writer(f, lineterminator=\"\\n\")\n",
    "    \n",
    "    first_row = [\"Frame_No\", \"Correct\", \"Wrong\", \"Accuracy\"]\n",
    "    writer.writerow(first_row)\n",
    "    for a_frame in range(5, frames+1, 5):\n",
    "        row = [a_frame]\n",
    "        row.append(all_frames_acc[a_frame][0])\n",
    "        row.append(all_frames_acc[a_frame][1])\n",
    "        row.append(all_frames_acc[a_frame][2])\n",
    "        writer.writerow(row)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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