model_2_h5.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "out_file = 'U19-depth.h5'\n",
    "model = 'U19_2019-09-18/first_model.p'\n",
    "index = 'U19_2019-09-18/moseq2-index.timepoint.yaml'\n",
    "tag_file = 'u19-tags.csv'\n",
    "#out_file = 'PNKD_CT-depth.h5'\n",
    "#model = 'PNKD_CT_2019-09-14/CT-first.p'\n",
    "#index = 'PNKD_CT_2019-09-14/gender-genotype-index.yaml'\n",
    "#tag_file = 'pnkd_ct-tags.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:04<00:00, 21.35it/s]\n"
     ]
    }
   ],
   "source": [
    "from syl_slices import get_syl_slices\n",
    "\n",
    "slices = get_syl_slices(model,index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "tags = pd.read_csv(tag_file)\n",
    "tags.set_index('Syllable', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            Tag\n",
      "Syllable       \n",
      "0         pause\n",
      "1          walk\n",
      "2         pause\n",
      "3         micro\n",
      "4          dart\n",
      "...         ...\n",
      "87         rear\n",
      "88         rear\n",
      "89        micro\n",
      "93         rear\n",
      "98         rear\n",
      "\n",
      "[92 rows x 1 columns]\n"
     ]
    }
   ],
   "source": [
    "print(tags)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "slices_flat = []\n",
    "\n",
    "for i in range(len(slices)):\n",
    "    for inst in slices[i]:\n",
    "        slices_flat.append(inst)\n",
    "        slices_flat[-1].append(tags.loc[i].values[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "79719\n",
      "[(240, 248), '07f8363f-e642-4b6d-8744-d7a6933de1fc', 'U19_2019-09-18\\\\_aggregate_results/2019-09-08_15-22-08_9-8-19-u19-baseline_en2_results_00.h5', 'pause']\n",
      "[(31645, 31671), '1f918806-1996-40c3-84c8-cc78ee20370d', 'U19_2019-09-18\\\\_aggregate_results/2019-09-10_14-03-31_9-8-19-u19-+24hrs_en6_results_00.h5', 'rear']\n"
     ]
    }
   ],
   "source": [
    "print(len(slices_flat))\n",
    "print(slices_flat[0])\n",
    "print(slices_flat[-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "max_len = 30\n",
    "insts = np.full((len(slices_flat),max_len,80,80),-10,dtype=np.int8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "slices_df = pd.DataFrame(slices_flat,columns=['Frames','UUID','Path','Tag'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100% |########################################################################|\n"
     ]
    }
   ],
   "source": [
    "import h5py\n",
    "from progressbar import ProgressBar\n",
    "\n",
    "pbar = ProgressBar()\n",
    "tag_list = []\n",
    "index = 0\n",
    "for h_file in pbar(slices_df.Path.unique()):\n",
    "    with h5py.File(h_file,'r') as f:\n",
    "        frames = np.array(f['frames'])\n",
    "    for _, row in slices_df.loc[slices_df['Path'] == h_file].iterrows():\n",
    "        inst_len = row['Frames'][1]-row['Frames'][0]\n",
    "        if inst_len < max_len:\n",
    "            insts[index,0:inst_len] = frames[row['Frames'][0]:row['Frames'][1]]\n",
    "        else:\n",
    "            insts[index,0:max_len] = frames[row['Frames'][0]:row['Frames'][0]+max_len]\n",
    "        tag_list.append(row['Tag'])\n",
    "        index += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "ascii_list = [n.encode('ascii','ignore') for n in tag_list]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "insts = insts.reshape(-1,max_len,80,80,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(79719, 30, 80, 80, 1)\n"
     ]
    }
   ],
   "source": [
    "print(insts.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "hf = h5py.File(out_file,'w')\n",
    "hf.create_dataset('Instances', data=insts)\n",
    "hf.create_dataset('Tags', data=ascii_list)\n",
    "hf.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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M1xa6PXMVEVcDezPziXJ1x1On8XtbDnwcuD0zL6Z32PbSHbJ3mGTYdwFnF/fXAy9PcPtjFREr6AX9e5n5QLN6T0Ssax5fB+xdqPaN6DLgsxHxInAPvaH8bcDqiGjPo5jW720XsCsztzX376cX/mn/zoY2ybA/BpzfzOyuBK4HHpzg9scmIgK4E9iemd8qHnoQuLFZvpHevvzUyMxbMnN9Zp5L7/v5aWZ+HngE+FzztKn7XACZ+RvgpYi4oFl1JfAMU/6dzcZED6qJiM/Q6ymWAXdl5q0T2/gYRcQngZ8Bv+TDfduv0dtvvw84B9gJXJeZ+xakkXMUEZcDf5OZV0fEBno9/RrgKeALmXlwIds3ioi4CLgDWAm8AHyRXoe3JL6zQTyCTqqER9BJlTDsUiUMu1QJwy5VwrBLlTDsUiUMu1QJwy5V4v8BHy9e+F141M4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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cEUezOj6zgUwy7F0F4qf6VEBEHAP8CPhaZv5uubdnqSLiMmBvZj5czu5YdBo/tzXAJ4GbMvM8epdtr94ue4dJhn0W2Fw83wS8MMH1j1RErKUX9B9k5t3N7D0RsbH5/UZg73Jt35AuBD4fEc8Ct9Pryt8IrI+I9nsU0/q5zQKzmbmreX4XvfBP+2c2sEmG/UHgrGZkdx1wFXDPBNc/MhERwC3A7sz8TvGre4Brmulr6B3LT43MvD4zN2XmGfQ+n59l5heB+4EvNItN3X4BZOZvgecj4uxm1iXA40z5Z7YYE72oJiI+R6+lmAFuzcwbJrbyEYqITwM/B37FoWPbb9A7br8TOB14DrgyM/cty0YuUURcBPxNZl4WEVvotfQbgEeBL2Xm28u5fcOIiHOBm4F1wDPAl+k1eKviM1uIV9BJlfAKOqkShl2qhGGXKmHYpUoYdqkShl2qhGGXKmHYpUr8P5DTaj1HwMe9AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ZwMvF7d3NuqkWEecAFwE7gHWZuQeg+b124Vo2sluBrwAfNLfPAA5m5qHm9rR+bpuA3wDfaXZRbo+Ik1kan9lQJhn2rgnip/pQQEScAnwf+HJm/nah2zNXEXEVsC8zHy9Xdzx0Gj+35cDHgNsy8yJ6p20v3ZK9wyTDvhs4u7i9AXhlgtsfq4hYQS/o383M+5vVeyNifXP/emDfQrVvRJcCn4mIl4C76ZXytwKrIqL9HsW0fm67gd2ZuaO5fR+98E/7Zza0SYb9UeC8ZmR3JXAd8MAEtz82ERHAHcDOzPxmcdcDwA3N8g309uWnRmbenJkbMvMcep/PTzPzc8DDwGebh03d+wLIzF8DL0fE+c2qK4CnmfLPbDYmelJNRHyaXk+xDLgzM2+Z2MbHKCI+AfwM+CWH922/Sm+//V5gI7ALuDYz9y9II+coIi4D/iYzr4qITfR6+jXAk8DnM/OdhWzfKCLiQuB2YCXwIvAFeh3ekvjMBvEMOqkSnkEnVcKwS5Uw7FIlDLtUCcMuVcKwS5Uw7FIlDLtUif8HBgpqicTYKesAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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8XFNg7OfsZrY0nMabJTHWYJd0maSnJT0rafs49z1Mks6U9KCk3ZKekHR9Vb5W0gOSnql+rlnqug5C0oykxyXdX70+S9Ku6rjukrRqqes4CEmrJd0j6anqu7twWr6zLsYW7JJmgH8CPg18DLhW0sfGtf8hOwj8TUR8FLgA+HJ1LNuBnRFxNrCzej2Jrgd2F6+/CXy7Oq79wJeWpFaL9x3gxxHxEeBcesc4Ld9ZfxExln/AhcBPitc3AjeOa/8jPrYfAZ8CngY2VGUbgKeXum4DHMtGev/pLwHuB0Rv4MmKpu9xUv4BJwH/Q9VPVZRP/HfW9d840/gzgBeL17NV2USTtBk4H9gFrI+IPQDVz3VLV7OB3Qx8Ffigen0KcCAiDlavJ/V72wK8Any3OkW5VdLxTMd31sk4g71pgviJvhQg6QTgB8BXIuJ3S12fxZJ0ObA3Ih4tixs+Oonf2wrg48AtEXE+vWHb05uyNxhnsM8CZxavNwIvjXH/QyVpJb1A/15E3FsVvyxpQ/X+BmDvUtVvQBcBV0h6HriTXip/M7BaUn0fxaR+b7PAbETsql7fQy/4J/0762ycwf4wcHbVs7sKuAa4b4z7HxpJAm4DdkfEt4q37gOuq5avo3cuPzEi4saI2BgRm+l9Pz+NiM8DDwKfrT42cccFEBG/BV6UdE5VdCnwJBP+nS3EWAfVSPoMvZZiBrg9Im4a286HSNIngZ8Bv+LQue3X6J233w1sAl4Aro6IfUtSyUWSdDHwtxFxuaQt9Fr6tcDjwBci4p2lrN8gJJ0H3AqsAp4DvkivwZuK76wfj6AzS8Ij6MyScLCbJeFgN0vCwW6WhIPdLAkHu1kSDnazJBzsZkn8P0TEMmcLlDeHAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import os\n",
    "import h5py\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "hf = h5py.File(out_file,'r')\n",
    "#print(hf['Frames'].shape)\n",
    "#print(hf['Tags'][0:10])\n",
    "#print(hf['Frames'][0])\n",
    "t = 'dart'\n",
    "n = 300\n",
    "x = 0\n",
    "for i in range(len(hf['Instances'])):\n",
    "    if hf['Tags'][i].decode('unicode_escape') == t:\n",
    "        if n > x:\n",
    "            x += 1\n",
    "        else:\n",
    "            for j in range(len(hf['Instances'][i])):\n",
    "                frame = hf['Instances'][i,j].reshape(80,80)\n",
    "                if frame[0,0] == -10:\n",
    "                    break\n",
    "                plt.imshow(frame,cmap=plt.get_cmap('gray'),vmin=0,vmax=100)\n",
    "                plt.savefig(os.path.join('frame_images',t+str(j)+'.png'))\n",
    "                plt.show()\n",
    "            break\n",
    "hf.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}