{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "from pathlib import Path\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "triskele_path = Path('../triskele/python/')\n",
    "sys.path.append(str(triskele_path.resolve()))\n",
    "import triskele\n",
    "\n",
    "def DFC_filter(raster):\n",
    "    raster[raster > 1e4] = raster[raster < 1e4].max()\n",
    "\n",
    "def show(im, im_size=1, save=None):\n",
    "    plt.figure(figsize=(16*im_size,3*im_size))\n",
    "    plt.imshow(im)\n",
    "    plt.colorbar()\n",
    "    \n",
    "    if save is not None:\n",
    "        plt.savefig(save, bbox_inches='tight', pad_inches=1)\n",
    "    \n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "raster = triskele.read('../Data/phase1_rasters/DEM+B_C123/UH17_GEM051_TR.tif')\n",
    "DFC_filter(raster)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "show(raster)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "t = triskele.Triskele(raster, verbose=False)\n",
    "\n",
    "area = np.array([1e3, 1e4, 1e5])\n",
    "\n",
    "res = t.filter(area=area)\n",
    "res.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#old_res = res"
   ]
  }
 ],
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   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
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