CNN.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CNN - Retraining Image Data on Yearbook Images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#CODE OBTAINED FROM TENSORFLOW TUTORIALS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load retrain.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load label_image.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Visualize tensorboard\n",
    "def TB(cleanup=False):\n",
    "    import webbrowser\n",
    "    webbrowser.open('http://localhost:6006')\n",
    "\n",
    "    !tensorboard --logdir=\"logs\"\n",
    "\n",
    "    if cleanup:\n",
    "        !rm -R logs/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Train models:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%run retrain.py --tfhub_module https://tfhub.dev/google/imagenet/mobilenet_v1_100_224/feature_vector/1 --how_many_training_steps=8000 --output_labels=./mobilenet_v1_8000/output_labels.txt --intermediate_output_graphs_dir=./mobilenet_v1_8000/intermediate_graph --output_graph=./mobilenet_v1_8000/output_graph.pb --image_dir=./yearbook_year --summaries_dir=./mobilenet_v1_8000/retrain_logs --bottleneck_dir=./bottleneck --saved_model_dir=./mobilenet_v1_8000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%run retrain.py --tfhub_module https://tfhub.dev/google/imagenet/inception_v2/feature_vector/1 --how_many_training_steps=4000 --output_labels=./inception_v2_4000/output_labels.txt --intermediate_output_graphs_dir=./inception_v2_4000/intermediate_graph --output_graph=./inception_v2_4000/output_graph.pb --image_dir=./yearbook_year --summaries_dir=./inception_v2_4000/retrain_logs --bottleneck_dir=./bottleneck --saved_model_dir=./inception_v2_4000/saved_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%run retrain.py --tfhub_module https://tfhub.dev/google/imagenet/mobilenet_v1_100_224/feature_vector/1 --how_many_training_steps=2000 --output_labels=./inception_v2_2000/output_labels.txt --intermediate_output_graphs_dir=./inception_v2_4000/intermediate_graph --output_graph=./inception_v2_2000/output_graph.pb --image_dir=./yearbook_year --summaries_dir=./inception_v2_2000/retrain_logs --bottleneck_dir=./bottleneck --saved_model_dir=./inception_v2_2000/saved_model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Display Sample Images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "from IPython.display import display\n",
    "import os\n",
    "\n",
    "image1 = ('./final_test_images/1935_Washington_Mt-Vernon_Mt-Vernon_5-19.png')\n",
    "image2 = ('./final_test_images/1970_Virginia_Arlington_Washington-Lee_29-8.png')\n",
    "image3 = ('./final_test_images/2013_Virginia_Arlington_Washington-Lee_27-4.png')\n",
    "\n",
    "display(Image(image1), Image(image2), Image(image3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Module: Inception_v2 w/8000 steps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1960 jpg 0.33056\n",
      "1990 jpg 0.23351462\n",
      "1950 jpg 0.1716316\n",
      "1980 jpg 0.08566023\n",
      "1970 jpg 0.084729634\n"
     ]
    }
   ],
   "source": [
    "%run label_image.py --graph=./inception_v2/output_graph.pb --labels=./inception_v2/output_labels.txt \\\n",
    "--input_layer=Placeholder --output_layer=final_result \\\n",
    "--image=./final_test_images/1935_Washington_Mt-Vernon_Mt-Vernon_5-19.png"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1960 jpg 0.59563166\n",
      "1950 jpg 0.14841127\n",
      "1970 jpg 0.12617235\n",
      "1980 jpg 0.10116503\n",
      "1990 jpg 0.023061274\n"
     ]
    }
   ],
   "source": [
    "%run label_image.py --graph=./inception_v2/output_graph.pb --labels=./inception_v2/output_labels.txt \\\n",
    "--input_layer=Placeholder --output_layer=final_result \\\n",
    "--image=./final_test_images/1970_Virginia_Arlington_Washington-Lee_29-8.png"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2010 jpg 0.59203255\n",
      "1980 jpg 0.14676552\n",
      "1950 jpg 0.07309552\n",
      "1990 jpg 0.060814902\n",
      "1960 jpg 0.046033684\n"
     ]
    }
   ],
   "source": [
    "%run label_image.py --graph=./inception_v2/output_graph.pb --labels=./inception_v2/output_labels.txt \\\n",
    "--input_layer=Placeholder --output_layer=final_result \\\n",
    "--image=./final_test_images/2013_Virginia_Arlington_Washington-Lee_27-4.png"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-06-22 12:33:58.582919: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n",
      "TensorBoard 1.8.0 at http://airbears2-10-142-36-50.airbears2.1918.berkeley.edu:6006 (Press CTRL+C to quit)\n"
     ]
    }
   ],
   "source": [
    "TB('./inception_v2/retrain_logs/')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Model: MobileNet_v1 w/8000 steps "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%run label_image.py --graph=./mobilenet_v1_8000/output_graph.pb --labels=./mobilenet_v1_8000/output_labels.txt \\\n",
    "--input_layer=Placeholder --output_layer=final_result \\\n",
    "--image=./final_test_images/1935_Washington_Mt-Vernon_Mt-Vernon_5-19.png --input_height=224 --input_width=224"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%run label_image.py --graph=./mobilenet_v1_8000/output_graph.pb --labels=./mobilenet_v1_8000/output_labels.txt \\\n",
    "--input_layer=Placeholder --output_layer=final_result \\\n",
    "--image=./final_test_images/1970_Virginia_Arlington_Washington-Lee_29-8.png --input_height=224 --input_width=224"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%run label_image.py --graph=./mobilenet_v1_8000/output_graph.pb --labels=./mobilenet_v1_8000/output_labels.txt \\\n",
    "--input_layer=Placeholder --output_layer=final_result \\\n",
    "--image=./final_test_images/2013_Virginia_Arlington_Washington-Lee_27-4.png --input_height=224 --input_width=224"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "TB('./inception_v1_8000/retrain_logs/')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Model: MobileNet_v1 w/2000 steps and parameter tuning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1960 jpg 0.68082625\n",
      "1950 jpg 0.17046858\n",
      "1940 jpg 0.075522564\n",
      "1970 jpg 0.044700846\n",
      "1990 jpg 0.020423247\n"
     ]
    }
   ],
   "source": [
    "%run label_image.py --graph=./mobilenet_v1_2000/output_graph.pb --labels=./mobilenet_v1_2000/output_labels.txt \\\n",
    "--input_layer=Placeholder --output_layer=final_result \\\n",
    "--image=./final_test_images/1935_Washington_Mt-Vernon_Mt-Vernon_5-19.png --input_height=224 --input_width=224"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1960 jpg 0.3827968\n",
      "1970 jpg 0.31686112\n",
      "1950 jpg 0.2645359\n",
      "1980 jpg 0.030189134\n",
      "1990 jpg 0.0025743986\n"
     ]
    }
   ],
   "source": [
    "%run label_image.py --graph=./mobilenet_v1_2000/output_graph.pb --labels=./mobilenet_v1_2000/output_labels.txt \\\n",
    "--input_layer=Placeholder --output_layer=final_result \\\n",
    "--image=./final_test_images/1970_Virginia_Arlington_Washington-Lee_29-8.png --input_height=224 --input_width=224"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2010 jpg 0.83368266\n",
      "1990 jpg 0.0416986\n",
      "1960 jpg 0.032768134\n",
      "2000 jpg 0.026851328\n",
      "1910 jpg 0.024620984\n"
     ]
    }
   ],
   "source": [
    "%run label_image.py --graph=./mobilenet_v1_2000/output_graph.pb --labels=./mobilenet_v1_2000/output_labels.txt \\\n",
    "--input_layer=Placeholder --output_layer=final_result \\\n",
    "--image=./final_test_images/2013_Virginia_Arlington_Washington-Lee_27-4.png --input_height=224 --input_width=224"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "TB('./mobilenet_v1_2000/retrain_logs/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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