|
2 | 2 | "cells": [ |
3 | 3 | { |
4 | 4 | "cell_type": "code", |
5 | | - "execution_count": 2, |
| 5 | + "execution_count": 4, |
6 | 6 | "id": "ac5cee0c-62e1-4b17-890e-9aa443e6503a", |
7 | 7 | "metadata": {}, |
8 | | - "outputs": [ |
9 | | - { |
10 | | - "ename": "KeyError", |
11 | | - "evalue": "\"Object 'i001' not found. Available objects: [(empty)]\"", |
12 | | - "output_type": "error", |
13 | | - "traceback": [ |
14 | | - "\u001b[31m---------------------------------------------------------------------------\u001b[39m", |
15 | | - "\u001b[31mKeyError\u001b[39m Traceback (most recent call last)", |
16 | | - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[2]\u001b[39m\u001b[32m, line 3\u001b[39m\n\u001b[32m 1\u001b[39m \u001b[38;5;66;03m# Pre-configured namespace\u001b[39;00m\n\u001b[32m 2\u001b[39m workspace.list()\n\u001b[32m----> \u001b[39m\u001b[32m3\u001b[39m img = \u001b[43mworkspace\u001b[49m\u001b[43m.\u001b[49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mi001\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 4\u001b[39m plotter.plot(img)\n\u001b[32m 5\u001b[39m workspace.save(\u001b[33m\"\u001b[39m\u001b[33manalysis.h5\u001b[39m\u001b[33m\"\u001b[39m)\n", |
17 | | - "\u001b[36mFile \u001b[39m\u001b[32mC:\\Dev\\DataLab-Kernel\\datalab_kernel\\workspace.py:569\u001b[39m, in \u001b[36mWorkspace.get\u001b[39m\u001b[34m(self, name)\u001b[39m\n\u001b[32m 557\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mget\u001b[39m(\u001b[38;5;28mself\u001b[39m, name: \u001b[38;5;28mstr\u001b[39m) -> DataObject:\n\u001b[32m 558\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"Retrieve an object by name.\u001b[39;00m\n\u001b[32m 559\u001b[39m \n\u001b[32m 560\u001b[39m \u001b[33;03m Args:\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 567\u001b[39m \u001b[33;03m KeyError: If object not found\u001b[39;00m\n\u001b[32m 568\u001b[39m \u001b[33;03m \"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m569\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_backend\u001b[49m\u001b[43m.\u001b[49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[43mname\u001b[49m\u001b[43m)\u001b[49m\n", |
18 | | - "\u001b[36mFile \u001b[39m\u001b[32mC:\\Dev\\DataLab-Kernel\\datalab_kernel\\workspace.py:104\u001b[39m, in \u001b[36mStandaloneBackend.get\u001b[39m\u001b[34m(self, name)\u001b[39m\n\u001b[32m 102\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m._objects:\n\u001b[32m 103\u001b[39m available = \u001b[33m\"\u001b[39m\u001b[33m, \u001b[39m\u001b[33m\"\u001b[39m.join(\u001b[38;5;28mself\u001b[39m._objects.keys()) \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m._objects \u001b[38;5;28;01melse\u001b[39;00m \u001b[33m\"\u001b[39m\u001b[33m(empty)\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m--> \u001b[39m\u001b[32m104\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\n\u001b[32m 105\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mObject \u001b[39m\u001b[33m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m'\u001b[39m\u001b[33m not found. Available objects: [\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mavailable\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m]\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 106\u001b[39m )\n\u001b[32m 107\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m._objects[name]\n", |
19 | | - "\u001b[31mKeyError\u001b[39m: \"Object 'i001' not found. Available objects: [(empty)]\"" |
20 | | - ] |
21 | | - } |
22 | | - ], |
| 8 | + "outputs": [], |
23 | 9 | "source": [ |
24 | 10 | "# Pre-configured namespace\n", |
25 | 11 | "workspace.list()\n", |
|
28 | 14 | "workspace.save(\"analysis.h5\")" |
29 | 15 | ] |
30 | 16 | }, |
| 17 | + { |
| 18 | + "cell_type": "code", |
| 19 | + "execution_count": 4, |
| 20 | + "id": "70f86804-9dee-49eb-a941-16036fcd58b0", |
| 21 | + "metadata": {}, |
| 22 | + "outputs": [], |
| 23 | + "source": [ |
| 24 | + "import sigima.proc.image" |
| 25 | + ] |
| 26 | + }, |
| 27 | + { |
| 28 | + "cell_type": "code", |
| 29 | + "execution_count": 6, |
| 30 | + "id": "7fd5f16d-c8a9-4860-ac26-2e7f400d3cee", |
| 31 | + "metadata": {}, |
| 32 | + "outputs": [ |
| 33 | + { |
| 34 | + "name": "stderr", |
| 35 | + "output_type": "stream", |
| 36 | + "text": [ |
| 37 | + "C:\\Dev\\DataLab-Kernel\\.venv\\Lib\\site-packages\\scipy\\signal\\_signaltools.py:1783: RuntimeWarning: divide by zero encountered in divide\n", |
| 38 | + " res *= (1 - noise / lVar)\n" |
| 39 | + ] |
| 40 | + } |
| 41 | + ], |
| 42 | + "source": [ |
| 43 | + "img2 = sigima.proc.image.wiener(img)" |
| 44 | + ] |
| 45 | + }, |
| 46 | + { |
| 47 | + "cell_type": "code", |
| 48 | + "execution_count": 9, |
| 49 | + "id": "eb8ac584-51cd-4d54-9323-43c7253acea4", |
| 50 | + "metadata": {}, |
| 51 | + "outputs": [ |
| 52 | + { |
| 53 | + "data": { |
| 54 | + "text/plain": [ |
| 55 | + "<sigima.objects.image.object.ImageObj at 0x1a8238860f0>" |
| 56 | + ] |
| 57 | + }, |
| 58 | + "execution_count": 9, |
| 59 | + "metadata": {}, |
| 60 | + "output_type": "execute_result" |
| 61 | + } |
| 62 | + ], |
| 63 | + "source": [ |
| 64 | + "workspace.add(\"G2\", img2)" |
| 65 | + ] |
| 66 | + }, |
| 67 | + { |
| 68 | + "cell_type": "code", |
| 69 | + "execution_count": 1, |
| 70 | + "id": "ee2db2d2-b90e-49ff-bdf5-2d3644a9c2ee", |
| 71 | + "metadata": {}, |
| 72 | + "outputs": [ |
| 73 | + { |
| 74 | + "data": { |
| 75 | + "text/plain": [ |
| 76 | + "{'mode': 'live',\n", |
| 77 | + " 'backend': 'WebApiBackend',\n", |
| 78 | + " 'object_count': 0,\n", |
| 79 | + " 'url': 'http://127.0.0.1:8080'}" |
| 80 | + ] |
| 81 | + }, |
| 82 | + "execution_count": 1, |
| 83 | + "metadata": {}, |
| 84 | + "output_type": "execute_result" |
| 85 | + } |
| 86 | + ], |
| 87 | + "source": [ |
| 88 | + "workspace.status()" |
| 89 | + ] |
| 90 | + }, |
| 91 | + { |
| 92 | + "cell_type": "code", |
| 93 | + "execution_count": 2, |
| 94 | + "id": "1cac845d-fc7a-43ee-aadd-d1dd09fee980", |
| 95 | + "metadata": {}, |
| 96 | + "outputs": [ |
| 97 | + { |
| 98 | + "name": "stdout", |
| 99 | + "output_type": "stream", |
| 100 | + "text": [ |
| 101 | + "Help on method get in module datalab_kernel.workspace:\n", |
| 102 | + "\n", |
| 103 | + "get(name: 'str') -> 'DataObject' method of datalab_kernel.workspace.Workspace instance\n", |
| 104 | + " Retrieve an object by name.\n", |
| 105 | + "\n", |
| 106 | + " Args:\n", |
| 107 | + " name: Object name\n", |
| 108 | + "\n", |
| 109 | + " Returns:\n", |
| 110 | + " The requested object (SignalObj or ImageObj)\n", |
| 111 | + "\n", |
| 112 | + " Raises:\n", |
| 113 | + " KeyError: If object not found\n", |
| 114 | + "\n" |
| 115 | + ] |
| 116 | + } |
| 117 | + ], |
| 118 | + "source": [ |
| 119 | + "help(workspace.get)" |
| 120 | + ] |
| 121 | + }, |
| 122 | + { |
| 123 | + "cell_type": "code", |
| 124 | + "execution_count": 9, |
| 125 | + "id": "70fb8bdb-04c7-4ab8-83ee-77ec007f030a", |
| 126 | + "metadata": {}, |
| 127 | + "outputs": [ |
| 128 | + { |
| 129 | + "data": { |
| 130 | + "text/plain": [ |
| 131 | + "['Gauss(a=10,μ=0,σ=1),x0=0,y0=0)', 'Gauss']" |
| 132 | + ] |
| 133 | + }, |
| 134 | + "execution_count": 9, |
| 135 | + "metadata": {}, |
| 136 | + "output_type": "execute_result" |
| 137 | + } |
| 138 | + ], |
| 139 | + "source": [ |
| 140 | + "workspace.list()" |
| 141 | + ] |
| 142 | + }, |
31 | 143 | { |
32 | 144 | "cell_type": "code", |
33 | 145 | "execution_count": null, |
34 | | - "id": "e755eccc-97e8-4e69-8d47-28bf06de9e86", |
| 146 | + "id": "dfc40d1e-2493-4cef-bb21-2326343620f6", |
35 | 147 | "metadata": {}, |
36 | 148 | "outputs": [], |
37 | 149 | "source": [] |
|
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