imcomp.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4294cefa-e212-4766-94c0-31507c176c11",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "eb39919c-e6ae-4016-a1b1-f5999fc4d7e1",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from dask_image import imread, ndfilters, ndmeasure\n",
    "from dask_ml.cluster import KMeans\n",
    "import dask.array as da\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bf1790c1-7e65-40b6-a0ae-7ec2c8d2b6e8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
       "    <div style=\"margin-left: 48px;\">\n",
       "        <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-a45df5cd-04ae-11ee-83fe-00155d926754</p>\n",
       "        <table style=\"width: 100%; text-align: left;\">\n",
       "\n",
       "        <tr>\n",
       "        \n",
       "            <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
       "            <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
       "        \n",
       "        </tr>\n",
       "\n",
       "        \n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\"></td>\n",
       "            </tr>\n",
       "        \n",
       "\n",
       "        </table>\n",
       "\n",
       "        \n",
       "\n",
       "        \n",
       "            <details>\n",
       "            <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
       "            <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n",
       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
       "    </div>\n",
       "    <div style=\"margin-left: 48px;\">\n",
       "        <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">7de848f3</p>\n",
       "        <table style=\"width: 100%; text-align: left;\">\n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Workers:</strong> 6\n",
       "                </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Total threads:</strong> 12\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Total memory:</strong> 44.70 GiB\n",
       "                </td>\n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "    <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
       "    <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
       "</tr>\n",
       "\n",
       "            \n",
       "        </table>\n",
       "\n",
       "        <details>\n",
       "            <summary style=\"margin-bottom: 20px;\">\n",
       "                <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
       "            </summary>\n",
       "\n",
       "            <div style=\"\">\n",
       "    <div>\n",
       "        <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
       "        <div style=\"margin-left: 48px;\">\n",
       "            <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
       "            <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-c9ce3373-4054-4bf6-904c-8fa23c78e632</p>\n",
       "            <table style=\"width: 100%; text-align: left;\">\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Comm:</strong> tcp://127.0.0.1:44363\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Workers:</strong> 6\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Total threads:</strong> 12\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Started:</strong> Just now\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Total memory:</strong> 44.70 GiB\n",
       "                    </td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "\n",
       "    <details style=\"margin-left: 48px;\">\n",
       "        <summary style=\"margin-bottom: 20px;\">\n",
       "            <h3 style=\"display: inline;\">Workers</h3>\n",
       "        </summary>\n",
       "\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:40825\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 2\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:35619/status\" target=\"_blank\">http://127.0.0.1:35619/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 7.45 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:45335\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-worker-space/worker-9jgf7jfh\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:33287\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 2\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:45095/status\" target=\"_blank\">http://127.0.0.1:45095/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 7.45 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:41863\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-worker-space/worker-hmq45avl\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:45659\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 2\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:37867/status\" target=\"_blank\">http://127.0.0.1:37867/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 7.45 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:42429\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-worker-space/worker-23p2et7g\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:41087\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 2\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:45857/status\" target=\"_blank\">http://127.0.0.1:45857/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 7.45 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:42209\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-worker-space/worker-dcbwsgm7\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:39669\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 2\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:43661/status\" target=\"_blank\">http://127.0.0.1:43661/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 7.45 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:38585\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-worker-space/worker-tumt24py\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 5</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:39351\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 2\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:35079/status\" target=\"_blank\">http://127.0.0.1:35079/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 7.45 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:34845\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-worker-space/worker-5ie6u34d\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "\n",
       "    </details>\n",
       "</div>\n",
       "\n",
       "        </details>\n",
       "    </div>\n",
       "</div>\n",
       "            </details>\n",
       "        \n",
       "\n",
       "    </div>\n",
       "</div>"
      ],
      "text/plain": [
       "<Client: 'tcp://127.0.0.1:44363' processes=6 threads=12, memory=44.70 GiB>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from dask.distributed import Client\n",
    "\n",
    "client = Client(n_workers=6, threads_per_worker=2, memory_limit=\"8GB\", processes=True, interface='lo')\n",
    "client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e0a6e509-9458-4f71-92e5-f90bd71928bc",
   "metadata": {},
   "outputs": [],
   "source": [
    "subfolder = '/mnt/d/Google Drive/Guitar/GGBO/media_2023/Timelapses/Aqua/all'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9cadded9-da76-4a39-a916-47fa531f12ca",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "baseline = imread.imread(f\"{subfolder}/100_DSC_0105.JPG\").compute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "01ece2ca-d66f-477a-99c7-16839665ed7f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[[146, 138,  99],\n",
       "         [147, 139, 102],\n",
       "         [147, 139, 102],\n",
       "         ...,\n",
       "         [181,  78,  35],\n",
       "         [182,  79,  36],\n",
       "         [187,  84,  41]],\n",
       "\n",
       "        [[146, 138,  99],\n",
       "         [146, 138,  99],\n",
       "         [146, 138,  99],\n",
       "         ...,\n",
       "         [182,  77,  32],\n",
       "         [181,  76,  31],\n",
       "         [184,  79,  34]],\n",
       "\n",
       "        [[144, 136,  97],\n",
       "         [143, 135,  96],\n",
       "         [145, 137,  98],\n",
       "         ...,\n",
       "         [181,  76,  31],\n",
       "         [181,  76,  31],\n",
       "         [181,  76,  31]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[167,  45,   0],\n",
       "         [167,  45,   0],\n",
       "         [164,  42,   0],\n",
       "         ...,\n",
       "         [ 68,  39,  25],\n",
       "         [ 66,  37,  23],\n",
       "         [ 66,  37,  23]],\n",
       "\n",
       "        [[167,  46,   0],\n",
       "         [168,  46,   0],\n",
       "         [165,  43,   0],\n",
       "         ...,\n",
       "         [ 72,  43,  29],\n",
       "         [ 67,  38,  24],\n",
       "         [ 66,  37,  23]],\n",
       "\n",
       "        [[166,  44,   0],\n",
       "         [166,  44,   0],\n",
       "         [166,  44,   0],\n",
       "         ...,\n",
       "         [ 67,  38,  24],\n",
       "         [ 65,  36,  22],\n",
       "         [ 66,  37,  23]]]], dtype=uint8)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "baseline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ef00c92a-a9b2-484a-af63-afd7551e0862",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fd1a8674670>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(baseline[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "3dfcd390-f28c-4b2f-98b2-efa98f0b4462",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(20, 20, 3)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "baseline[0,1990:2010,2090:2110].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "8e03bc37-b287-470d-ab8f-19a7b071c33b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fd1a85ef520>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(baseline[0,1990:2010,2090:2110])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1bd8d7e3-f024-4e62-bf43-a6bbc3e81b90",
   "metadata": {},
   "outputs": [],
   "source": [
    "def grayscale(rgb):\n",
    "    result = ((rgb[..., 0] * 0.2125) +\n",
    "              (rgb[..., 1] * 0.7154) +\n",
    "              (rgb[..., 2] * 0.0721))\n",
    "    return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e422f469-aac0-4dba-bd31-1344feda1f56",
   "metadata": {},
   "outputs": [],
   "source": [
    "def reduce_to_20x20(im):\n",
    "    reduced = im[:,1990:2010,2090:2110]\n",
    "    return da.array(reduced)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6c5e3c1f-82e9-4020-9421-6f2341fb72c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "def smooth(im):\n",
    "    return ndfilters.gaussian_filter(im, sigma=[0,1,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0584dd56-3f6c-4e5c-9c37-e546fcc302cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_threshold(im):\n",
    "    threshold_value = 0.5 * da.max(im)\n",
    "    return im > threshold_value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "464362eb-fcfa-401e-9b5c-2c4489179209",
   "metadata": {},
   "outputs": [],
   "source": [
    "def compare_to_baseline(b,i):\n",
    "    return da.subtract(i,b)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5770528b-4c57-4306-af37-34a232c53f88",
   "metadata": {},
   "source": [
    "# Repeat with random baseline images"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aee01f5d-0b93-4c37-9719-a9dc9a8609c1",
   "metadata": {},
   "source": [
    "## use dask_ml.cluster.KMeans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "695142fb-325c-4d15-93d6-d4f9d98a6af9",
   "metadata": {},
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       "(1, 4000, 6000, 3)"
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     "execution_count": 15,
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   "source": [
    "baseline.shape"
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   "cell_type": "code",
   "execution_count": 16,
   "id": "34eeb77f-a277-4d2a-9fa1-107183b2857f",
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    "gray_baseline = da.array(grayscale(baseline))\n",
    "gray_baseline"
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   "execution_count": 17,
   "id": "bda44ee2-05cf-4d27-8fe5-ae5626d4288d",
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      "/home/dave/miniconda3/envs/py309/lib/python3.9/site-packages/distributed/client.py:3106: UserWarning: Sending large graph of size 183.11 MiB.\n",
      "This may cause some slowdown.\n",
      "Consider scattering data ahead of time and using futures.\n",
      "  warnings.warn(\n"
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    },
    {
     "data": {
      "text/plain": [
       "array([[[137.01945413, 137.24789481, 137.349715  , ...,  96.65053115,\n",
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     "metadata": {},
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    "smoothed_baseline = smooth(gray_baseline).compute()\n",
    "smoothed_baseline"
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  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6fc42235-87ef-454e-9d3c-ca08e7af5676",
   "metadata": {},
   "outputs": [],
   "source": [
    "high_contrast_baseline = get_threshold(smoothed_baseline)"
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  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d21d4a75-81d6-46a2-982b-c3272574206a",
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     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
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    "tbt = reduce_to_20x20(high_contrast_baseline)\n",
    "# del baseline\n",
    "tbt.shape"
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   "cell_type": "code",
   "execution_count": 20,
   "id": "be9c096d-4f26-49d0-bcde-0d36e759a38d",
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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(tbt[0],cmap='gray')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "571617a7-eb46-46c6-989c-6c90dcb6959d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "2656ad6b-7265-4292-9c37-fe74a5038a5f",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "all_full = imread.imread(f\"{subfolder}/*.JPG\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "b229ac40-adc9-403f-98cd-7e4453fd7670",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# all_full.visualize()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "af9521e9-60cf-4456-8f31-f4784cff980c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 106.75 GiB </td>\n",
       "                        <td> 68.66 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1592, 4000, 6000, 3) </td>\n",
       "                        <td> (1, 4000, 6000, 3) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1592 chunks in 3 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
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      "text/plain": [
       "dask.array<_map_read_frame, shape=(1592, 4000, 6000, 3), dtype=uint8, chunksize=(1, 4000, 6000, 3), chunktype=numpy.ndarray>"
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     },
     "execution_count": 24,
     "metadata": {},
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    "all_full"
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  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "97580d19-fc93-4862-9136-6ec1c39bfe56",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# fig, ax = plt.subplots(nrows=2, ncols=2)\n",
    "# ax[0,0].imshow(all_full[0])\n",
    "# ax[0,1].imshow(all_full[1])\n",
    "# ax[1,0].imshow(all_full[2])\n",
    "# ax[1,1].imshow(all_full[3])\n",
    "# plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "f0b43b13-8520-47b0-a697-00f6e60d2601",
   "metadata": {},
   "outputs": [
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   "source": [
    "tbt_all = reduce_to_20x20(all_full)\n",
    "tbt_all"
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  {
   "cell_type": "code",
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   "id": "06d37582-ffde-4ddf-b809-7d5c1f3d7088",
   "metadata": {
    "scrolled": true,
    "tags": []
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       "dask.array<getitem, shape=(1592, 20, 20, 3), dtype=uint8, chunksize=(1, 20, 20, 3), chunktype=numpy.ndarray>"
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     },
     "execution_count": 27,
     "metadata": {},
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   ],
   "source": [
    "tbt_all.persist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "8a9162f7-5a4f-45cb-be07-2c57aea185a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# tbt_all.visualize()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "73e05d35-2f83-4de7-8cd4-ca119fade050",
   "metadata": {},
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   "source": [
    "# fig, ax = plt.subplots(nrows=5, ncols=5)\n",
    "# k=200\n",
    "# for i in range(5):\n",
    "#     for j in range(5):\n",
    "#         ax[i,j].imshow(tbt_all[k])\n",
    "#         k+=1\n",
    "# plt.show()"
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "93b42670-f584-41f7-a937-4d130f57f9e5",
   "metadata": {
    "tags": []
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   "source": []
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   "execution_count": 30,
   "id": "ae48d518-523f-40c1-b0da-6b5c8110627e",
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   "source": [
    "grays = grayscale(tbt_all)\n",
    "grays"
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  {
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   "execution_count": 31,
   "id": "96793411-b135-4578-aca2-a0b75505cd18",
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   "source": [
    "# fig, ax = plt.subplots(nrows=5, ncols=5)\n",
    "# k=200\n",
    "# for i in range(5):\n",
    "#     for j in range(5):\n",
    "#         ax[i,j].imshow(grays[k],cmap='gray')\n",
    "#         k+=1\n",
    "# plt.show()"
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  {
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    "# fig, ax = plt.subplots(nrows=5, ncols=5)\n",
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    "# for i in range(5):\n",
    "#     for j in range(5):\n",
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       "\n",
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       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"80\" y1=\"70\" x2=\"107\" y2=\"70\" style=\"stroke-width:2\" />\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"80\" y1=\"70\" x2=\"80\" y2=\"97\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"107\" y1=\"70\" x2=\"107\" y2=\"97\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <polygon points=\"80.58823529411765,70.58823529411765 107.1264066294774,70.58823529411765 107.1264066294774,97.1264066294774 80.58823529411765,97.1264066294774\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"93.857321\" y=\"117.126407\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >20</text>\n",
       "  <text x=\"127.126407\" y=\"83.857321\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,127.126407,83.857321)\">20</text>\n",
       "  <text x=\"35.294118\" y=\"81.832289\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,35.294118,81.832289)\">1592</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "dask.array<gt, shape=(1592, 20, 20), dtype=bool, chunksize=(1, 20, 20), chunktype=numpy.ndarray>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "high_contrast = get_threshold(smoothed)\n",
    "high_contrast"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "17971124-e6ef-4233-8386-3b777f81d5fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# fig, ax = plt.subplots(nrows=5, ncols=5)\n",
    "# k=200\n",
    "# for i in range(5):\n",
    "#     for j in range(5):\n",
    "#         ax[i,j].imshow(high_contrast[k],cmap='gray')\n",
    "#         k+=1\n",
    "# plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "819efde7-8a04-4c00-94b3-1c1da6013fb3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        ...,\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False]],\n",
       "\n",
       "       [[False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        ...,\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False]],\n",
       "\n",
       "       [[False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        ...,\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        ...,\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False]],\n",
       "\n",
       "       [[False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        ...,\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False]],\n",
       "\n",
       "       [[False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        ...,\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False]]])"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "high_contrast.compute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "87276f0d-4d9c-4000-ab3a-8f36c2f8b0f5",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-06-06 22:18:16,502 - distributed.utils_perf - WARNING - full garbage collections took 11% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:18:27,663 - distributed.utils_perf - WARNING - full garbage collections took 11% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:18:29,033 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:18:30,041 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:18:42,242 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:18:43,062 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:18:55,368 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:18:56,176 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:19:07,381 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:19:08,459 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:19:09,294 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:19:20,471 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:19:21,655 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:19:22,524 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:19:33,552 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:19:34,624 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:19:35,662 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:19:41,846 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:19:47,595 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:19:48,770 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:19:51,421 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:20:00,181 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:20:01,299 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:20:04,138 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:20:12,761 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:20:13,886 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:20:14,920 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:20:26,158 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:20:27,283 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:20:28,306 - distributed.utils_perf - WARNING - full garbage collections took 11% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:20:39,356 - distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:20:40,432 - distributed.utils_perf - WARNING - full garbage collections took 11% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:20:41,283 - distributed.utils_perf - WARNING - full garbage collections took 11% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:20:52,567 - distributed.utils_perf - WARNING - full garbage collections took 11% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:20:53,614 - distributed.utils_perf - WARNING - full garbage collections took 11% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:20:54,425 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:21:05,602 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:21:07,075 - distributed.utils_perf - WARNING - full garbage collections took 11% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:21:07,968 - distributed.utils_perf - WARNING - full garbage collections took 11% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:21:19,713 - distributed.utils_perf - WARNING - full garbage collections took 11% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:21:20,801 - distributed.utils_perf - WARNING - full garbage collections took 11% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:21:21,699 - distributed.utils_perf - WARNING - full garbage collections took 11% CPU time recently (threshold: 10%)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 25 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=5, ncols=5)\n",
    "k=200\n",
    "for i in range(5):\n",
    "    for j in range(5):\n",
    "        ax[i,j].imshow(high_contrast[k],cmap='viridis')\n",
    "        k+=1\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "4873bbd7-acf9-4590-8a08-22f463b965e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "kmeans = KMeans(n_clusters=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "5c343f8a-4875-44b6-b48d-3e3992d4a4e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1592, 20, 20)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "high_contrast.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "8417b7d7-8946-4645-8bb1-cd507a163913",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 621.88 kiB </td>\n",
       "                        <td> 400 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1592, 400) </td>\n",
       "                        <td> (1, 400) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1592 chunks in 31 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> bool numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"92\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"42\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"6\" x2=\"42\" y2=\"6\" />\n",
       "  <line x1=\"0\" y1=\"12\" x2=\"42\" y2=\"12\" />\n",
       "  <line x1=\"0\" y1=\"18\" x2=\"42\" y2=\"18\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"42\" y2=\"25\" />\n",
       "  <line x1=\"0\" y1=\"31\" x2=\"42\" y2=\"31\" />\n",
       "  <line x1=\"0\" y1=\"37\" x2=\"42\" y2=\"37\" />\n",
       "  <line x1=\"0\" y1=\"44\" x2=\"42\" y2=\"44\" />\n",
       "  <line x1=\"0\" y1=\"50\" x2=\"42\" y2=\"50\" />\n",
       "  <line x1=\"0\" y1=\"56\" x2=\"42\" y2=\"56\" />\n",
       "  <line x1=\"0\" y1=\"63\" x2=\"42\" y2=\"63\" />\n",
       "  <line x1=\"0\" y1=\"69\" x2=\"42\" y2=\"69\" />\n",
       "  <line x1=\"0\" y1=\"75\" x2=\"42\" y2=\"75\" />\n",
       "  <line x1=\"0\" y1=\"82\" x2=\"42\" y2=\"82\" />\n",
       "  <line x1=\"0\" y1=\"88\" x2=\"42\" y2=\"88\" />\n",
       "  <line x1=\"0\" y1=\"94\" x2=\"42\" y2=\"94\" />\n",
       "  <line x1=\"0\" y1=\"101\" x2=\"42\" y2=\"101\" />\n",
       "  <line x1=\"0\" y1=\"107\" x2=\"42\" y2=\"107\" />\n",
       "  <line x1=\"0\" y1=\"113\" x2=\"42\" y2=\"113\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"42\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 42.91751740544894,0.0 42.91751740544894,120.0 0.0,120.0\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"21.458759\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >400</text>\n",
       "  <text x=\"62.917517\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,62.917517,60.000000)\">1592</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "dask.array<reshape, shape=(1592, 400), dtype=bool, chunksize=(1, 400), chunktype=numpy.ndarray>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "high_contrast = high_contrast.reshape((1592,20*20))\n",
    "high_contrast.persist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3c07656e-07f4-4ff1-8f4a-32125b419c62",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-06-06 22:47:43,635 - distributed.utils_perf - WARNING - full garbage collections took 11% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:49:58,568 - tornado.application - ERROR - Exception in callback <bound method BokehTornado._keep_alive of <bokeh.server.tornado.BokehTornado object at 0x7fd1c2912670>>\n",
      "Traceback (most recent call last):\n",
      "  File \"/home/dave/miniconda3/envs/py309/lib/python3.9/site-packages/tornado/ioloop.py\", line 921, in _run\n",
      "    val = self.callback()\n",
      "  File \"/home/dave/miniconda3/envs/py309/lib/python3.9/site-packages/bokeh/server/tornado.py\", line 760, in _keep_alive\n",
      "    c.send_ping()\n",
      "  File \"/home/dave/miniconda3/envs/py309/lib/python3.9/site-packages/bokeh/server/connection.py\", line 93, in send_ping\n",
      "    self._socket.ping(str(self._ping_count).encode(\"utf-8\"))\n",
      "  File \"/home/dave/miniconda3/envs/py309/lib/python3.9/site-packages/tornado/websocket.py\", line 444, in ping\n",
      "    raise WebSocketClosedError()\n",
      "tornado.websocket.WebSocketClosedError\n",
      "2023-06-06 22:50:47,477 - distributed.utils_perf - WARNING - full garbage collections took 13% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:50:48,723 - distributed.utils_perf - WARNING - full garbage collections took 13% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:51:11,431 - distributed.utils_perf - WARNING - full garbage collections took 13% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:51:12,893 - distributed.utils_perf - WARNING - full garbage collections took 11% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:51:18,530 - distributed.utils_perf - WARNING - full garbage collections took 13% CPU time recently (threshold: 10%)\n",
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      "2023-06-06 22:51:26,868 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:51:28,484 - distributed.utils_perf - WARNING - full garbage collections took 13% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:51:29,748 - distributed.utils_perf - WARNING - full garbage collections took 13% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:51:52,272 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:51:53,593 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:51:58,697 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:52:06,133 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:52:07,763 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:52:09,422 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:52:10,720 - distributed.utils_perf - WARNING - full garbage collections took 13% CPU time recently (threshold: 10%)\n",
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      "2023-06-06 22:52:34,285 - distributed.utils_perf - WARNING - full garbage collections took 13% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:52:40,850 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:52:47,417 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:52:48,866 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:52:50,550 - distributed.utils_perf - WARNING - full garbage collections took 13% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:52:51,973 - distributed.utils_perf - WARNING - full garbage collections took 14% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:53:14,650 - distributed.utils_perf - WARNING - full garbage collections took 13% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:53:16,046 - distributed.utils_perf - WARNING - full garbage collections took 13% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:53:23,028 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:53:29,387 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:53:30,922 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:53:32,658 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:53:34,375 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:53:57,356 - distributed.utils_perf - WARNING - full garbage collections took 11% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:53:58,765 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:54:09,566 - distributed.utils_perf - WARNING - full garbage collections took 11% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:54:12,372 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:54:13,809 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:54:15,317 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:54:16,836 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:54:38,856 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:54:40,286 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:54:48,045 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:54:53,577 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:54:55,186 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:54:56,851 - distributed.utils_perf - WARNING - full garbage collections took 12% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:54:58,585 - distributed.utils_perf - WARNING - full garbage collections took 13% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:55:03,426 - distributed.utils_perf - WARNING - full garbage collections took 13% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:55:15,464 - distributed.utils_perf - WARNING - full garbage collections took 13% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:55:16,347 - distributed.utils_perf - WARNING - full garbage collections took 13% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:55:21,979 - distributed.utils_perf - WARNING - full garbage collections took 13% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:55:23,268 - distributed.utils_perf - WARNING - full garbage collections took 13% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:55:34,104 - distributed.utils_perf - WARNING - full garbage collections took 13% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:55:35,722 - distributed.utils_perf - WARNING - full garbage collections took 14% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:55:37,603 - distributed.utils_perf - WARNING - full garbage collections took 14% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:55:39,082 - distributed.utils_perf - WARNING - full garbage collections took 15% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:55:42,037 - distributed.utils_perf - WARNING - full garbage collections took 15% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:55:55,905 - distributed.utils_perf - WARNING - full garbage collections took 14% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:56:00,946 - distributed.utils_perf - WARNING - full garbage collections took 14% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:56:02,105 - distributed.utils_perf - WARNING - full garbage collections took 16% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:56:14,531 - distributed.utils_perf - WARNING - full garbage collections took 16% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:56:15,988 - distributed.utils_perf - WARNING - full garbage collections took 15% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:56:17,722 - distributed.utils_perf - WARNING - full garbage collections took 15% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:56:19,165 - distributed.utils_perf - WARNING - full garbage collections took 16% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:56:22,475 - distributed.utils_perf - WARNING - full garbage collections took 16% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:56:41,411 - distributed.utils_perf - WARNING - full garbage collections took 14% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:56:42,850 - distributed.utils_perf - WARNING - full garbage collections took 16% CPU time recently (threshold: 10%)\n",
      "/home/dave/miniconda3/envs/py309/lib/python3.9/site-packages/dask/base.py:1368: UserWarning: Running on a single-machine scheduler when a distributed client is active might lead to unexpected results.\n",
      "  warnings.warn(\n",
      "2023-06-06 22:56:54,858 - distributed.utils_perf - WARNING - full garbage collections took 15% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:56:56,584 - distributed.utils_perf - WARNING - full garbage collections took 15% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:56:58,898 - distributed.utils_perf - WARNING - full garbage collections took 15% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:57:00,705 - distributed.utils_perf - WARNING - full garbage collections took 16% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:57:02,517 - distributed.utils_perf - WARNING - full garbage collections took 17% CPU time recently (threshold: 10%)\n",
      "2023-06-06 22:57:04,079 - distributed.utils_perf - WARNING - full garbage collections took 17% CPU time recently (threshold: 10%)\n"
     ]
    }
   ],
   "source": [
    "# kmeans.fit(high_contrast)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "151a5f46-cdaa-4eb8-a1d9-99796dd145b2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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    "name": "ipython",
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