Created
June 11, 2018 13:01
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nuggt.yea_nay example
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import numpy as np\n", | |
"import tifffile\n", | |
"points = np.load(\"/media/im1/Lee/FromWG_GUItests/PVimages/spots_filtered.npy\")\n", | |
"pv = tifffile.imread(\"/media/im1/Lee/FromWG_GUItests/PVimages/PV.tif\")\n", | |
"syto = tifffile.imread(\"/media/im1/Lee/FromWG_GUItests/PVimages/Syto.tif\")" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 11, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"from nuggt.yea_nay import sort_points" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"from nuggt.utils.ngutils import green_shader, red_shader" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 12, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"http://127.0.0.1:34831/v/064fc82c720111272aeb7a90e557941c8112dfe0/\n" | |
] | |
} | |
], | |
"source": [ | |
"yea, nay = sort_points(((pv, \"PV\", red_shader),\n", | |
" (syto, \"Syto\", green_shader)), points[:, ::-1])" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 14, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"(array([[ 2, 746, 5],\n", | |
" [ 2, 890, 6],\n", | |
" [ 3, 993, 9]]), array([[ 2, 34, 33],\n", | |
" [ 3, 224, 30]]))" | |
] | |
}, | |
"execution_count": 14, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"yea[:, ::-1], nay[:, ::-1]" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 16, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"Help on function stop in module neuroglancer.server:\n", | |
"\n", | |
"stop()\n", | |
" Stop the server, invalidating any viewer URLs.\n", | |
" \n", | |
" This allows any previously-referenced data arrays to be garbage collected if there are no other\n", | |
" references to them.\n", | |
"\n" | |
] | |
} | |
], | |
"source": [ | |
"import neuroglancer\n", | |
"help(neuroglancer.stop)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Environment (conda_nuggt)", | |
"language": "python", | |
"name": "conda_nuggt" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.6.4" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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