Histogram 12bx128.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "%reload_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "import numpy as np\n",
    "\n",
    "from fastai.dataset import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "PATH = '/home/ubuntu/fastai/data/roads/mass_roads_png_128'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "sat_dir = '{}/train/map/'.format(PATH)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "files = list(Path(sat_dir).iterdir())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def white_pixel_count(f):\n",
    "    img = Image.open(f)\n",
    "    count = np.count_nonzero(img)\n",
    "    return count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[870, 824, 1520, 1408, 1015, 908, 1555, 1306, 1072, 1123]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cc = [white_pixel_count(fn) for fn in files]\n",
    "cc[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7014"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(cc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16384"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "128*128"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(n, bins, patches) = plt.hist(c, bins=50, label='hst')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
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   "language": "python",
   "name": "python3"
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  "language_info": {
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   "file_extension": ".py",
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