{ "cells": [ { "cell_type": "markdown", "id": "e970f606-b58f-4560-b555-3383257e70f9", "metadata": {}, "source": [ "# Surface vertex classification\n", "\n", "In this notebook we demonstrate how to retrieve surface/vertex measurements to classify vertices on the surface. The used example data is a derived from of [AV Luque and JV Veenvliet (2023)](https://zenodo.org/record/7603081#.Y94N4XbMJmN) licensed [CC-BY](https://creativecommons.org/licenses/by/4.0/legalcode). See the [creating_surfaces](creating_surfaces.ipynb) for how to create the surface from raw imaging data.\n", "\n", "See also\n", "* [vedo library](https://vedo.embl.es/)\n", "* [vedo add curvature documentation](https://vedo.embl.es/autodocs/content/vedo/mesh.html?highlight=curvature#vedo.mesh.Mesh.addCurvatureScalars)\n", "\n", "You need to additionally install the [napari-accelerated-pixel-and-object-classification plugin](https://www.napari-hub.org/plugins/napari-accelerated-pixel-and-object-classification), e.g. by calling `mamba install napari-accelerated-pixel-and-object-classification -c conda-forge` from the terminal." ] }, { "cell_type": "code", "execution_count": 1, "id": "33f515ba-b872-45db-99f8-ad33193d0658", "metadata": {}, "outputs": [], "source": [ "import napari_process_points_and_surfaces as nppas\n", "\n", "import napari\n", "import apoc\n", "import numpy as np" ] }, { "cell_type": "markdown", "id": "27a7436d-7c6c-4eef-9739-77cf7778c578", "metadata": {}, "source": [ "We will be working with a simple geometry (i.e., an ellipsoid) to demonstrate the curvature property and the different settings." ] }, { "cell_type": "code", "execution_count": 2, "id": "695a71bb-002f-4695-9e06-fc6cf12f4f79", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The nppas gastruloid example is derived from AV Luque and JV Veenvliet (2023) which is licensed CC-BY (https://creativecommons.org/licenses/by/4.0/legalcode) and can be downloaded from here: https://zenodo.org/record/7603081\n" ] }, { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "
\n", "\n", "\n", "nppas.SurfaceTuple
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
origin (z/y/x)[0. 0. 0.]
center of mass(z/y/x)57.561,308.175,440.144
scale(z/y/x)1.000,1.000,1.000
bounds (z/y/x)13.983...112.865
110.951...460.844
168.949...807.707
average size171.204
number of vertices3324
number of faces6643
\n", "\n", "
" ], "text/plain": [ "(array([[ 14.174363, 220.40599 , 224.08286 ],\n", " [ 13.983076, 208.15877 , 220.32153 ],\n", " [ 14.819012, 219.06023 , 229.4558 ],\n", " ...,\n", " [112.18208 , 356.98364 , 430.36832 ],\n", " [112.3784 , 360.45856 , 421.8425 ],\n", " [112.865425, 352.2561 , 422.1735 ]], dtype=float32),\n", " array([[ 0, 1, 2],\n", " [ 3, 4, 5],\n", " [ 6, 4, 7],\n", " ...,\n", " [3318, 3317, 3316],\n", " [3316, 3323, 3318],\n", " [3318, 3323, 3319]], dtype=int64))" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "surface = nppas.gastruloid()\n", "surface" ] }, { "cell_type": "markdown", "id": "01709465-0d6a-4b1b-9966-dc47c72f5002", "metadata": {}, "source": [ "## Quantification\n", "We can create a table ([pandas Dataframe](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html)) like this." ] }, { "cell_type": "code", "execution_count": 3, "id": "494e364a-b57a-4da4-b024-fb03b0cbe693", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "c:\\structure\\code\\vedo\\vedo\\pointcloud.py:526: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n", "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n", " C, residue, rank, _ = np.linalg.lstsq(A, f) # solve AC=f\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
vertex_indexQuality.AREAQuality.ASPECT_RATIOQuality.GAUSS_CURVATUREQuality.MEAN_CURVATUREQuality.SPHERE_FITTED_CURVATURE_HECTA_VOXELQuality.SPHERE_FITTED_CURVATURE_KILO_VOXEL
0029.9973891.6004000.0302870.0004900.0002570.000019
1146.0870461.6021830.0111360.0000180.0002500.000019
2235.8863381.4005990.0126330.0001420.0002530.000019
3322.8872961.7519320.0369790.0005480.0003790.000019
4429.9523471.2208820.0102770.0000470.0003910.000019
........................
3319331925.0796611.3408020.0318780.0006060.0001680.000019
3320332047.2139161.2549240.0046150.0000030.0001690.000019
3321332135.9647071.1402670.0156610.0001980.0001630.000019
3322332245.6735291.1895620.0113800.0001000.0001520.000019
3323332330.1055301.1512300.0143960.0001900.0001630.000019
\n", "

3324 rows × 7 columns

\n", "
" ], "text/plain": [ " vertex_index Quality.AREA Quality.ASPECT_RATIO \\\n", "0 0 29.997389 1.600400 \n", "1 1 46.087046 1.602183 \n", "2 2 35.886338 1.400599 \n", "3 3 22.887296 1.751932 \n", "4 4 29.952347 1.220882 \n", "... ... ... ... \n", "3319 3319 25.079661 1.340802 \n", "3320 3320 47.213916 1.254924 \n", "3321 3321 35.964707 1.140267 \n", "3322 3322 45.673529 1.189562 \n", "3323 3323 30.105530 1.151230 \n", "\n", " Quality.GAUSS_CURVATURE Quality.MEAN_CURVATURE \\\n", "0 0.030287 0.000490 \n", "1 0.011136 0.000018 \n", "2 0.012633 0.000142 \n", "3 0.036979 0.000548 \n", "4 0.010277 0.000047 \n", "... ... ... \n", "3319 0.031878 0.000606 \n", "3320 0.004615 0.000003 \n", "3321 0.015661 0.000198 \n", "3322 0.011380 0.000100 \n", "3323 0.014396 0.000190 \n", "\n", " Quality.SPHERE_FITTED_CURVATURE_HECTA_VOXEL \\\n", "0 0.000257 \n", "1 0.000250 \n", "2 0.000253 \n", "3 0.000379 \n", "4 0.000391 \n", "... ... \n", "3319 0.000168 \n", "3320 0.000169 \n", "3321 0.000163 \n", "3322 0.000152 \n", "3323 0.000163 \n", "\n", " Quality.SPHERE_FITTED_CURVATURE_KILO_VOXEL \n", "0 0.000019 \n", "1 0.000019 \n", "2 0.000019 \n", "3 0.000019 \n", "4 0.000019 \n", "... ... \n", "3319 0.000019 \n", "3320 0.000019 \n", "3321 0.000019 \n", "3322 0.000019 \n", "3323 0.000019 \n", "\n", "[3324 rows x 7 columns]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "requested_measurements = [nppas.Quality.AREA, \n", " nppas.Quality.ASPECT_RATIO,\n", " nppas.Quality.GAUSS_CURVATURE, \n", " nppas.Quality.MEAN_CURVATURE,\n", " nppas.Quality.SPHERE_FITTED_CURVATURE_HECTA_VOXEL,\n", " nppas.Quality.SPHERE_FITTED_CURVATURE_KILO_VOXEL,\n", " ]\n", "\n", "df = nppas.surface_quality_table(surface, requested_measurements)\n", "df" ] }, { "cell_type": "markdown", "id": "4b116469-1979-4dad-8b49-012fd46c0043", "metadata": {}, "source": [ "To get an overview about measurements, we can summarize them:" ] }, { "cell_type": "code", "execution_count": 4, "id": "6b8484d5-6606-4969-8e60-21751049746a", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
countmeanstdmin25%50%75%max
vertex_index3324.01661.5000009.597005e+020.000000830.7500001661.5000002492.2500003323.000000
Quality.AREA3324.033.7532331.079078e+015.67748626.69473532.95683539.255080125.564101
Quality.ASPECT_RATIO3324.07.1268108.990960e+011.0380341.2924441.4379111.6482993421.965459
Quality.GAUSS_CURVATURE3324.00.0169583.527488e-02-1.0311060.0055090.0136450.0247390.348243
Quality.MEAN_CURVATURE3324.00.0003837.652709e-03-0.028035-0.0001350.0000100.0002700.426018
Quality.SPHERE_FITTED_CURVATURE_HECTA_VOXEL3324.00.0002586.857515e-050.0001520.0002140.0002410.0002750.000545
Quality.SPHERE_FITTED_CURVATURE_KILO_VOXEL3324.00.0000193.388642e-210.0000190.0000190.0000190.0000190.000019
\n", "
" ], "text/plain": [ " count mean \\\n", "vertex_index 3324.0 1661.500000 \n", "Quality.AREA 3324.0 33.753233 \n", "Quality.ASPECT_RATIO 3324.0 7.126810 \n", "Quality.GAUSS_CURVATURE 3324.0 0.016958 \n", "Quality.MEAN_CURVATURE 3324.0 0.000383 \n", "Quality.SPHERE_FITTED_CURVATURE_HECTA_VOXEL 3324.0 0.000258 \n", "Quality.SPHERE_FITTED_CURVATURE_KILO_VOXEL 3324.0 0.000019 \n", "\n", " std min \\\n", "vertex_index 9.597005e+02 0.000000 \n", "Quality.AREA 1.079078e+01 5.677486 \n", "Quality.ASPECT_RATIO 8.990960e+01 1.038034 \n", "Quality.GAUSS_CURVATURE 3.527488e-02 -1.031106 \n", "Quality.MEAN_CURVATURE 7.652709e-03 -0.028035 \n", "Quality.SPHERE_FITTED_CURVATURE_HECTA_VOXEL 6.857515e-05 0.000152 \n", "Quality.SPHERE_FITTED_CURVATURE_KILO_VOXEL 3.388642e-21 0.000019 \n", "\n", " 25% 50% \\\n", "vertex_index 830.750000 1661.500000 \n", "Quality.AREA 26.694735 32.956835 \n", "Quality.ASPECT_RATIO 1.292444 1.437911 \n", "Quality.GAUSS_CURVATURE 0.005509 0.013645 \n", "Quality.MEAN_CURVATURE -0.000135 0.000010 \n", "Quality.SPHERE_FITTED_CURVATURE_HECTA_VOXEL 0.000214 0.000241 \n", "Quality.SPHERE_FITTED_CURVATURE_KILO_VOXEL 0.000019 0.000019 \n", "\n", " 75% max \n", "vertex_index 2492.250000 3323.000000 \n", "Quality.AREA 39.255080 125.564101 \n", "Quality.ASPECT_RATIO 1.648299 3421.965459 \n", "Quality.GAUSS_CURVATURE 0.024739 0.348243 \n", "Quality.MEAN_CURVATURE 0.000270 0.426018 \n", "Quality.SPHERE_FITTED_CURVATURE_HECTA_VOXEL 0.000275 0.000545 \n", "Quality.SPHERE_FITTED_CURVATURE_KILO_VOXEL 0.000019 0.000019 " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.describe().T" ] }, { "cell_type": "markdown", "id": "acaccf82-910d-4fb5-a208-0e03825fe41f", "metadata": {}, "source": [ "From that table, we can extract a single column as list." ] }, { "cell_type": "code", "execution_count": 5, "id": "d57d4e93-9a21-471e-a18d-1a19fa2cda47", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[0.0002572409483117654,\n", " 0.00025042866718866794,\n", " 0.0002531992227477513,\n", " 0.00037887302875519685,\n", " 0.00039058363169657424]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sp_curvature = list(df['Quality.SPHERE_FITTED_CURVATURE_HECTA_VOXEL'])\n", "sp_curvature[:5]" ] }, { "cell_type": "markdown", "id": "5719b476-e642-4e8f-8ae2-03d7a86c34dc", "metadata": {}, "source": [ "## Visualizing measurements\n", "To visualize the measurements, we need to attach them to the surface:" ] }, { "cell_type": "code", "execution_count": 6, "id": "712fb8bb-6e32-47f6-af13-c35140fcf6f0", "metadata": {}, "outputs": [], "source": [ "quantified_surface = nppas.set_vertex_values(surface, sp_curvature)" ] }, { "cell_type": "markdown", "id": "b0904c1f-fdfb-4332-8ccb-89973057c352", "metadata": {}, "source": [ "The visualization can be customized as well, e.g. by changing the view angle and the colormap." ] }, { "cell_type": "code", "execution_count": 7, "id": "1abaae19-08ed-4388-8a57-1efeeffaed28", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "
\n", "\n", "\n", "nppas.SurfaceTuple
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
origin (z/y/x)[0. 0. 0.]
center of mass(z/y/x)57.561,308.175,440.144
scale(z/y/x)1.000,1.000,1.000
bounds (z/y/x)13.983...112.865
110.951...460.844
168.949...807.707
average size171.204
number of vertices3324
number of faces6643
min0.00015164454247100238
max0.0005448765616528308
\n", "\n", "
" ], "text/plain": [ "(array([[ 14.174363, 220.40599 , 224.08286 ],\n", " [ 13.983076, 208.15877 , 220.32153 ],\n", " [ 14.819012, 219.06023 , 229.4558 ],\n", " ...,\n", " [112.18208 , 356.98364 , 430.36832 ],\n", " [112.3784 , 360.45856 , 421.8425 ],\n", " [112.865425, 352.2561 , 422.1735 ]], dtype=float32),\n", " array([[ 0, 1, 2],\n", " [ 3, 4, 5],\n", " [ 6, 4, 7],\n", " ...,\n", " [3318, 3317, 3316],\n", " [3316, 3323, 3318],\n", " [3318, 3323, 3319]], dtype=int64),\n", " [0.0002572409483117654,\n", " 0.00025042866718866794,\n", " 0.0002531992227477513,\n", " 0.00037887302875519685,\n", " 0.00039058363169657424,\n", " 0.0003600190783964104,\n", " 0.0003812024248736095,\n", " 0.0004032214052519288,\n", " 0.0002661565851518192,\n", " 0.0002720534146162575,\n", " 0.0002614593000182443,\n", " 0.0002535430671034702,\n", " 0.0002444765153185341,\n", " 0.000257360827669421,\n", " 0.00025511530875216005,\n", " 0.00042729231737963306,\n", " 0.00040987383076612847,\n", " 0.0004150967696368238,\n", " 0.0003926723959885801,\n", " 0.0003564980315785759,\n", " 0.0003623340825496488,\n", " 0.00033555981114871653,\n", " 0.00033173650865084286,\n", " 0.0002921858941142099,\n", " 0.0002892736949807465,\n", " 0.0002721312389510652,\n", " 0.0002739698612751383,\n", " 0.00025648821536703267,\n", " 0.0002612249776248378,\n", " 0.0002478275507613372,\n", " 0.00026498619789606747,\n", " 0.00026065427051607403,\n", " 0.0002524483195951812,\n", " 0.00019891821191909436,\n", " 0.00020176568265474089,\n", " 0.00020818335784812488,\n", " 0.0001850191151668224,\n", " 0.0002076759196735631,\n", " 0.0001690413263473044,\n", " 0.00016712950748005062,\n", " 0.0001684276906393751,\n", " 0.00017519826069848274,\n", " 0.00017313698174847573,\n", " 0.00016952165218300845,\n", " 0.00017064989767587353,\n", " 0.00018770826806459447,\n", " 0.0001852143259732519,\n", " 0.0001923523927073288,\n", " 0.00019944376481798653,\n", " 0.00019322147485570867,\n", " 0.0004272880169744272,\n", " 0.00036595567871689725,\n", " 0.0003132085794564319,\n", " 0.00034012046388165316,\n", " 0.00030500059081084826,\n", " 0.00031644591183555357,\n", " 0.0003164924482079102,\n", " 0.0002717489166254353,\n", " 0.0002966246372772681,\n", " 0.0002696932664949742,\n", " 0.0002444676981293004,\n", " 0.00026216161449327605,\n", " 0.00026243819275078927,\n", " 0.00025959623242481785,\n", " 0.0002536757731849083,\n", " 0.00021426161322416978,\n", " 0.00021748430529425168,\n", " 0.0002040980568482802,\n", " 0.00021400355001653394,\n", " 0.00019214256535299328,\n", " 0.00020509264508201098,\n", " 0.00018253943460016533,\n", " 0.00017454588186636665,\n", " 0.0001713500138058328,\n", " 0.00017694103381585434,\n", " 0.00017555980167772148,\n", " 0.00017827197531162153,\n", " 0.00017038514614467286,\n", " 0.00016902581961629817,\n", " 0.00017623218514931563,\n", " 0.0001768753462650038,\n", " 0.00017058922428553688,\n", " 0.00017349616645110643,\n", " 0.00017501709326249017,\n", " 0.0001711842426333082,\n", " 0.0001693081006526344,\n", " 0.0001707192686465572,\n", " 0.00017425499642092498,\n", " 0.00017100157018340253,\n", " 0.00017163491312213996,\n", " 0.00017902069002878008,\n", " 0.00019059227938701603,\n", " 0.0001923885437297693,\n", " 0.00018288453427589888,\n", " 0.00018364720765073748,\n", " 0.0001868497096903202,\n", " 0.0001896479190321488,\n", " 0.00020123964674876847,\n", " 0.00019707817843142572,\n", " 0.00020782125792412858,\n", " 0.00021144493925669554,\n", " 0.00020766153444654346,\n", " 0.00043871884645211147,\n", " 0.0004009767688542877,\n", " 0.00040662381715911566,\n", " 0.0004314457126305084,\n", " 0.0003590238656272754,\n", " 0.0003306031915479628,\n", " 0.0003245627731504485,\n", " 0.0003002202891710231,\n", " 0.00029067551937629604,\n", " 0.00032003665234913705,\n", " 0.000262084120447589,\n", " 0.0002616737912426526,\n", " 0.00026765465224470907,\n", " 0.0002642306988428909,\n", " 0.0002521125145869295,\n", " 0.0002562409438027258,\n", " 0.00026524212313002913,\n", " 0.00025775642493665383,\n", " 0.0002527826022894682,\n", " 0.0002511083640454574,\n", " 0.00025872755582161615,\n", " 0.0002525425677182156,\n", " 0.0002202958097073085,\n", " 0.00022296004718168385,\n", " 0.00022531950092256778,\n", " 0.0001959227614219583,\n", " 0.00018939125953744125,\n", " 0.00019768087544193047,\n", " 0.00019178026167455538,\n", " 0.00018047806258040714,\n", " 0.00019168217876493543,\n", " 0.0001854649539868315,\n", " 0.00017275093398090628,\n", " 0.0001739426121088212,\n", " 0.0001721593673798292,\n", " 0.00016934862505775538,\n", " 0.0001703908558524394,\n", " 0.00017916195998997586,\n", " 0.0001740827321789608,\n", " 0.00017847634207757889,\n", " 0.00019923057882689863,\n", " 0.00020583932838629006,\n", " 0.00020088081237020728,\n", " 0.0001770723133434025,\n", " 0.00018225261479453097,\n", " 0.00018366698090515655,\n", " 0.0001839510525160222,\n", " 0.00019009394550183789,\n", " 0.00019110735418332417,\n", " 0.0001961086462098786,\n", " 0.00020264192042413322,\n", " 0.00019081470141223375,\n", " 0.0001911449718892122,\n", " 0.00019340424649958823,\n", " 0.00019099880937553554,\n", " 0.00019304701721413253,\n", " 0.0002088798367192103,\n", " 0.00021266639930419174,\n", " 0.00020125843236592995,\n", " 0.00021984663440018348,\n", " 0.0002116529027549625,\n", " 0.00021973863485490733,\n", " 0.00046776821535878297,\n", " 0.0004485669192628907,\n", " 0.00040752902243874363,\n", " 0.0003390299981766002,\n", " 0.00028404249833768777,\n", " 0.00027518484063141353,\n", " 0.00028966281369440146,\n", " 0.0002456891891690936,\n", " 0.0002681408431344346,\n", " 0.00025067017745307603,\n", " 0.0002512694996493835,\n", " 0.0002701620100982459,\n", " 0.0002655611133476862,\n", " 0.00024298182507705762,\n", " 0.00022854620363627426,\n", " 0.00022030624310974731,\n", " 0.00021193312066660378,\n", " 0.00020914621947957078,\n", " 0.00018000802256514222,\n", " 0.00019859616560046942,\n", " 0.000192520192177157,\n", " 0.00018368592865268782,\n", " 0.00020316205136171884,\n", " 0.00017549459816169303,\n", " 0.00020597873799317183,\n", " 0.00020132725385164606,\n", " 0.00018959219087017666,\n", " 0.00016916695439046545,\n", " 0.0001713402548120956,\n", " 0.00020547508742545007,\n", " 0.00020901978265262753,\n", " 0.00018903389216157144,\n", " 0.00018145574637417995,\n", " 0.00018998581222857587,\n", " 0.00018162241388167526,\n", " 0.000203386400246518,\n", " 0.000208874310192469,\n", " 0.00018218324259734555,\n", " 0.000196258915795681,\n", " 0.00018979140090049282,\n", " 0.00019854015987737548,\n", " 0.0001989071980163347,\n", " 0.00019626389248716082,\n", " 0.00019473928896237075,\n", " 0.00021035423319750856,\n", " 0.00021647585725383098,\n", " 0.00020151710974876996,\n", " 0.0002096047934157277,\n", " 0.0004680865798606284,\n", " 0.00043643942220402874,\n", " 0.00045955931586469655,\n", " 0.00032574646654771254,\n", " 0.00032070422568487535,\n", " 0.0002723585552231615,\n", " 0.0002686969019314391,\n", " 0.00026541602221863045,\n", " 0.00024405238976237784,\n", " 0.0002690032181377179,\n", " 0.00025055720911743414,\n", " 0.0002461817363861581,\n", " 0.00024673033956802606,\n", " 0.0002489148609306626,\n", " 0.00024092942088554798,\n", " 0.00026300275479939305,\n", " 0.0002575577361659125,\n", " 0.0002263660404615987,\n", " 0.00022854644883068946,\n", " 0.0001948637801409936,\n", " 0.00022286741331099176,\n", " 0.00021881525775487378,\n", " 0.00020730612312128005,\n", " 0.00019922317142017764,\n", " 0.0002106423209152624,\n", " 0.0001937771165249365,\n", " 0.00020643066433257364,\n", " 0.0002008719668712928,\n", " 0.00019237338894491558,\n", " 0.00018792880860031035,\n", " 0.00018771574080785416,\n", " 0.00019584417460056017,\n", " 0.0001991795753341003,\n", " 0.00020813812911828772,\n", " 0.00020708107200883367,\n", " 0.00020031426605868295,\n", " 0.0002055777715214283,\n", " 0.0001948890586612668,\n", " 0.00021939174663669246,\n", " 0.0002117143459356029,\n", " 0.00022370677438643513,\n", " 0.00021779231311392876,\n", " 0.0002309675520474359,\n", " 0.0002283503484300704,\n", " 0.000492589026743866,\n", " 0.0004568308976832353,\n", " 0.00039599550266274986,\n", " 0.00035391816464968386,\n", " 0.00034710735994420577,\n", " 0.000310571409190902,\n", " 0.00026946852780939605,\n", " 0.00024433451245367625,\n", " 0.0002707673049030154,\n", " 0.0002404592644654933,\n", " 0.0002327800877342916,\n", " 0.00024398479677139936,\n", " 0.0002607439119219324,\n", " 0.00023300398987472856,\n", " 0.0002555874148730387,\n", " 0.0002231415223809325,\n", " 0.0002322138108309095,\n", " 0.00025102431055217846,\n", " 0.00022824839267056603,\n", " 0.00022482730093632296,\n", " 0.00020672239491871847,\n", " 0.00018328193237959598,\n", " 0.00019157238215190812,\n", " 0.00019908276288780417,\n", " 0.00019506833313707517,\n", " 0.00018733947917816692,\n", " 0.00021202865270770593,\n", " 0.00021524312286907288,\n", " 0.00018038291445962088,\n", " 0.00017676284863639888,\n", " 0.00021132059926795585,\n", " 0.0002055417880661882,\n", " 0.00019734251305815757,\n", " 0.0001743536798209669,\n", " 0.00020939486181488018,\n", " 0.0002114207227380847,\n", " 0.0002146481175787506,\n", " 0.0002119685161447376,\n", " 0.0001837017879044986,\n", " 0.00018743850672576668,\n", " 0.0002074918058438426,\n", " 0.0001950841549790114,\n", " 0.00020904511709764784,\n", " 0.0001943279803240434,\n", " 0.00021580077995388052,\n", " 0.0002080730561690934,\n", " 0.0002076710010649108,\n", " 0.00021671016132767618,\n", " 0.00019709817011781162,\n", " 0.0002027607872706698,\n", " 0.00020024927014514857,\n", " 0.00020672060086834835,\n", " 0.0002309500910051472,\n", " 0.00048482965784988507,\n", " 0.0004674311979821743,\n", " 0.00040372562853103523,\n", " 0.0003724680808212764,\n", " 0.00032247611231371414,\n", " 0.0002955691169265773,\n", " 0.00028783765787860797,\n", " 0.00031979281662994385,\n", " 0.0002912175725564022,\n", " 0.00024424046832551065,\n", " 0.0002708491863007032,\n", " 0.0002775801317309271,\n", " 0.00023299845725594052,\n", " 0.00022901481747290562,\n", " 0.0002197787166332614,\n", " 0.0001985638463038121,\n", " 0.0002101291671081594,\n", " 0.00021757838052402338,\n", " 0.00021416364351621876,\n", " 0.00021178154667650007,\n", " 0.0001769012284444127,\n", " 0.0002071754107415163,\n", " 0.0002114614157171121,\n", " 0.00021511856012035682,\n", " 0.0002037515161060317,\n", " 0.00019690474562870407,\n", " 0.00019918128340407792,\n", " 0.00019244986007417432,\n", " 0.00018446177443640958,\n", " 0.00020164928467767836,\n", " 0.00018894863480386912,\n", " 0.0002184789675083205,\n", " 0.00021246014973784166,\n", " 0.00021484351284961273,\n", " 0.00023050084401594407,\n", " 0.00047855134511230355,\n", " 0.0004437276418315804,\n", " 0.00040003002926159434,\n", " 0.0003680682219857416,\n", " 0.00025404682797200136,\n", " 0.0002477618977419019,\n", " 0.0002445566764788956,\n", " 0.0002461953919776252,\n", " 0.0002735197541529191,\n", " 0.0002329358656724729,\n", " 0.00026711627709193937,\n", " 0.00027042079134058725,\n", " 0.00024580366261784607,\n", " 0.00022828298321268809,\n", " 0.000225413698654941,\n", " 0.0002002083465991755,\n", " 0.0002213931021629025,\n", " 0.00020326158290221284,\n", " 0.0002048156937653914,\n", " 0.00021423711593993866,\n", " 0.00021846363333007516,\n", " 0.00020761958885269263,\n", " 0.00021409717873805092,\n", " 0.00021783558292171872,\n", " 0.00021631560841671555,\n", " 0.0002057118425664852,\n", " 0.0002186834640952807,\n", " 0.00020087987183766323,\n", " 0.000203864689368542,\n", " 0.00020296022733738852,\n", " 0.00018630535263512745,\n", " 0.0001909324110043715,\n", " 0.00019354134821432866,\n", " 0.0002068310689818182,\n", " 0.00021617548276783434,\n", " 0.00020269858175096876,\n", " 0.0002211590976297711,\n", " 0.0002261887075221709,\n", " 0.00020290715637311265,\n", " 0.00020600602635844045,\n", " 0.00021167386306702402,\n", " 0.00023528694630057438,\n", " 0.00047104248881903144,\n", " 0.0004298671806014713,\n", " 0.00034848833666032287,\n", " 0.0002717678425272209,\n", " 0.000283739692619466,\n", " 0.00026849644337294704,\n", " 0.00024069440776475586,\n", " 0.00022792909458651246,\n", " 0.0002746198992432774,\n", " 0.00026344743370852974,\n", " 0.00023846789459395037,\n", " 0.0002341241780359544,\n", " 0.00022796576905988043,\n", " 0.00023408361358263522,\n", " 0.0002577927093940078,\n", " 0.00023234344530115872,\n", " 0.00025673578628640763,\n", " 0.00021888667455907077,\n", " 0.00021326189610261718,\n", " 0.00022372972128355465,\n", " 0.00020302122915970118,\n", " 0.00020127033279710373,\n", " 0.00021927333816150411,\n", " 0.00021292867755350273,\n", " 0.0002169841658335495,\n", " 0.00020855907600225642,\n", " 0.00021362653859921958,\n", " 0.00021671155039467774,\n", " 0.00021414073658895493,\n", " 0.00021448110007243743,\n", " 0.00020619395397284332,\n", " 0.00035407168317798024,\n", " 0.0003737573408284832,\n", " 0.0003815991057690912,\n", " 0.0002194328601539502,\n", " 0.00021126113177152893,\n", " 0.0002054056363368125,\n", " 0.0002114054223032478,\n", " 0.00019662963218791988,\n", " 0.00022620524968392446,\n", " 0.00022716251251196835,\n", " 0.00020701803644182864,\n", " 0.00023832414334023775,\n", " 0.00023570374876096063,\n", " 0.0004936242307039256,\n", " 0.0005008874445865387,\n", " 0.0004987881968963418,\n", " 0.000454423571913552,\n", " 0.00043299916515746463,\n", " 0.0004039409381393438,\n", " 0.00028993874654093687,\n", " 0.0003056676659953289,\n", " 0.0002797703967201703,\n", " 0.00027889568315659193,\n", " 0.00027109142825509485,\n", " 0.00026815857919730156,\n", " 0.00023646989900288578,\n", " 0.00023216303135617974,\n", " 0.00020806156322725276,\n", " 0.00020715839311273563,\n", " 0.00021390372536674574,\n", " 0.00022771576993049127,\n", " 0.00023849221376701294,\n", " 0.00025156311975653396,\n", " 0.00020831596500247416,\n", " 0.00021215041271337038,\n", " 0.0002204255633521189,\n", " 0.0002134169519207485,\n", " 0.00021155013843693308,\n", " 0.00035107824600993004,\n", " 0.00038515106934470535,\n", " 0.0003227215258586011,\n", " 0.0003994267414881104,\n", " 0.00040587644016793487,\n", " 0.00020928466654789688,\n", " 0.00033288041781442084,\n", " 0.0003680703947488343,\n", " 0.0003958342313438043,\n", " 0.00021840370622569212,\n", " 0.00022231991203276898,\n", " 0.00020775347197660092,\n", " 0.00019182181677096166,\n", " 0.00022019346880026053,\n", " 0.00022323515224011503,\n", " 0.00021570608190538305,\n", " 0.00022518737441733534,\n", " 0.00021050182539955546,\n", " 0.00022017624049791625,\n", " 0.00021796752033351687,\n", " 0.00024101367195080846,\n", " 0.00023832527363578488,\n", " 0.000503632251065675,\n", " 0.00047727781379027233,\n", " 0.0004609891814596501,\n", " 0.0003856725323676667,\n", " 0.0002596769888765666,\n", " 0.00023180513597945344,\n", " 0.0002248141976582217,\n", " 0.00022220998178813767,\n", " 0.00026377909438432046,\n", " 0.00021410161647344094,\n", " 0.00022968652284117646,\n", " 0.00024077399771173672,\n", " 0.00022078960215869554,\n", " 0.00022384823723361742,\n", " 0.00021593587589431733,\n", " 0.0002117721358041025,\n", " 0.00020749997948282933,\n", " 0.0002975105921703266,\n", " 0.0003269871316623249,\n", " 0.0002994133405402456,\n", " 0.0003139939216724202,\n", " 0.00031737583633959426,\n", " 0.0003294658150922287,\n", " 0.0003543595463959959,\n", " 0.00041393498911755546,\n", " 0.00039878158280729354,\n", " 0.00021293094512325628,\n", " 0.0003774494782826511,\n", " 0.00019702387347654893,\n", " 0.00021489198322365317,\n", " 0.00020101950058212646,\n", " 0.00020386292342649008,\n", " 0.00021779241288615,\n", " 0.0002199491124709291,\n", " 0.00023484160842145502,\n", " 0.0002103664684613885,\n", " 0.00021416229496911071,\n", " 0.00022368961335334962,\n", " 0.00022776964843339138,\n", " 0.0005061701113219461,\n", " 0.0004845695064637122,\n", " 0.0003908862091443241,\n", " 0.000356775318810615,\n", " 0.0003334777403748549,\n", " 0.0003341874365765048,\n", " 0.000304998689892581,\n", " 0.0002449441410515119,\n", " 0.0002423099092163534,\n", " 0.0002761673018530653,\n", " 0.00028079664573006115,\n", " 0.00021650153247470207,\n", " 0.0002829571811634665,\n", " 0.00022081208774272774,\n", " 0.00023080248021315494,\n", " 0.00023109588089876708,\n", " 0.00021875886541004345,\n", " 0.00023045213339867247,\n", " 0.00021498388806971076,\n", " 0.00021027289033857908,\n", " 0.00025901919177296343,\n", " 0.00024078671221461857,\n", " 0.00025157071006659814,\n", " 0.00024489469365698526,\n", " 0.00021782058192957907,\n", " 0.00021377891461567792,\n", " 0.0002620664344594354,\n", " 0.00026036111177190984,\n", " 0.00026209615764793867,\n", " 0.00020900989756630998,\n", " 0.00027239311039243625,\n", " 0.0002796771409639387,\n", " 0.00029297036127149165,\n", " 0.00035572319733929606,\n", " 0.00021346342471381482,\n", " 0.0004225066886135695,\n", " 0.00022206350259231254,\n", " 0.0004204287373611115,\n", " 0.00021023906946195464,\n", " 0.00021032580619965356,\n", " 0.00030614781441345854,\n", " 0.00027437550058159325,\n", " 0.00043052067218247455,\n", " 0.00022158047232672922,\n", " 0.00021820411995549007,\n", " 0.0003416833906779358,\n", " 0.0004269416487810156,\n", " 0.00020594391861474118,\n", " 0.00034620060488255524,\n", " 0.00037672278469688274,\n", " 0.00041465356175870684,\n", " 0.00023284995486699226,\n", " 0.0002332323726910148,\n", " 0.00021972163432454594,\n", " 0.00021577161578990303,\n", " 0.0002152758290198492,\n", " 0.00023894466813732606,\n", " 0.00021950324546062837,\n", " 0.00023619770204550802,\n", " 0.00042466269184215975,\n", " 0.00037488607391809577,\n", " 0.0003003789812309556,\n", " 0.00024609257248382993,\n", " 0.0002869648741774345,\n", " 0.00021640823659621562,\n", " 0.00021646218840134777,\n", " 0.00021436147589927606,\n", " 0.00022104774140382257,\n", " 0.00021791879950005285,\n", " 0.00026122295913236167,\n", " 0.00021505252702217243,\n", " 0.0002266755144537834,\n", " 0.00021657792379842778,\n", " 0.0002295896343204536,\n", " 0.00024274865402102675,\n", " 0.00021989783934526868,\n", " 0.00022083733746111072,\n", " 0.0002636557292629127,\n", " 0.00026281884993372627,\n", " 0.0002646336807886264,\n", " 0.0002555415368646273,\n", " 0.00025524114389854235,\n", " 0.0002088282122686083,\n", " 0.0002577255122026323,\n", " 0.0002156566660238897,\n", " 0.00027697483250299225,\n", " 0.0003044963075247014,\n", " 0.0003326266413538081,\n", " 0.0002191205954385558,\n", " 0.0002120177269611744,\n", " 0.00025596167264917266,\n", " 0.00042082863657708856,\n", " 0.00040470162639091883,\n", " 0.0002083985236868652,\n", " 0.0004446488435389724,\n", " 0.00045458411280314417,\n", " 0.00020964787868269492,\n", " 0.0004506449763059401,\n", " 0.00019352940245649406,\n", " 0.00022883553757297963,\n", " 0.00023208763747875253,\n", " 0.00023633568411705723,\n", " 0.0002338388890831334,\n", " 0.00044814878942722627,\n", " 0.0003995029761896205,\n", " 0.0002862617732293846,\n", " 0.00023886667487118594,\n", " 0.0002649002271144391,\n", " 0.00022584415963479695,\n", " 0.0002621490476188427,\n", " 0.0002168301954488264,\n", " 0.0002325613170190171,\n", " 0.00023076621561532852,\n", " 0.0002194030958930049,\n", " 0.00026306111814992537,\n", " 0.0002191658684518849,\n", " 0.00026471507318123993,\n", " 0.00021654778211774024,\n", " 0.00022339338487157881,\n", " 0.00021745345764173402,\n", " 0.00022915902599551606,\n", " 0.000259966324257117,\n", " 0.00020849065821372393,\n", " 0.00026457406252075204,\n", " 0.00025883381979967664,\n", " 0.00021930354386382153,\n", " 0.00026214571657280845,\n", " 0.0002635875352115152,\n", " 0.000266602733341571,\n", " 0.0002631179700061342,\n", " 0.00025697924383927875,\n", " 0.0002609317118873354,\n", " 0.0002571542876495896,\n", " 0.00031983848438777655,\n", " 0.00026060453209644113,\n", " 0.00021117882074105326,\n", " 0.0002195236282388052,\n", " 0.00022345153450550913,\n", " 0.00021213692909023712,\n", " 0.00028445021728066785,\n", " 0.0004415644964506656,\n", " 0.0002149528469996647,\n", " 0.0003113450567907527,\n", " 0.00022239911997871137,\n", " 0.00046640855045513815,\n", " 0.0003449265196353005,\n", " 0.0002129046799596582,\n", " 0.0004774985075816509,\n", " 0.00019922766001181677,\n", " 0.00038019706587825953,\n", " 0.00019706423376235992,\n", " 0.00021739886226839337,\n", " 0.00022543681040504076,\n", " 0.0002289067431934797,\n", " 0.00023746041369981143,\n", " 0.00022391688321705226,\n", " 0.00021855726826674695,\n", " 0.00021961187630663146,\n", " 0.0002292178442094261,\n", " 0.00023306827187975434,\n", " 0.000508649719997113,\n", " 0.00047126435369137463,\n", " 0.0003990158219635763,\n", " 0.0003732971065434158,\n", " 0.0002663768140644715,\n", " 0.0002917938749731196,\n", " 0.00022082375526616513,\n", " 0.00020671686633420892,\n", " 0.00021169910677421684,\n", " 0.00020964821784120866,\n", " 0.0002658637651858694,\n", " 0.00022816184665813393,\n", " 0.0002688825112392039,\n", " 0.00027258616417736415,\n", " 0.0002619098501676952,\n", " 0.0002208455421548181,\n", " 0.00021436467697858732,\n", " 0.00021935476852992747,\n", " 0.00021524975899276275,\n", " 0.0002655258715398927,\n", " 0.0002239427068495667,\n", " 0.0002592854692394666,\n", " 0.00026343497965045646,\n", " 0.0002587882551545605,\n", " 0.0002614104985821019,\n", " 0.00026655242313843144,\n", " 0.0002532581769726192,\n", " 0.0002581591356594534,\n", " 0.0002628822068248438,\n", " 0.00024399644033476744,\n", " 0.00021775052765661885,\n", " 0.0002611769935631919,\n", " 0.0002706721661976996,\n", " 0.0002701733870593791,\n", " 0.00028883001968482876,\n", " 0.00020674409359196312,\n", " 0.00021507395487174318,\n", " 0.00025403535696610766,\n", " 0.00031003415040967955,\n", " 0.0002075929945693273,\n", " 0.00020433533896604204,\n", " 0.00026268118445649057,\n", " 0.0003760881576705622,\n", " 0.00039594892604301367,\n", " 0.00026394186270435024,\n", " 0.0002599428857549487,\n", " 0.0002622354493959575,\n", " 0.0002202616882933266,\n", " 0.0002672085094468217,\n", " 0.00022558808477495795,\n", " 0.00026754188719080513,\n", " 0.00022791404327283845,\n", " 0.0002702011989892223,\n", " 0.0002876597656714381,\n", " 0.00045629578690428653,\n", " 0.0002180526384202751,\n", " 0.0004942780933326304,\n", " 0.0002156890260159447,\n", " 0.000347524741178945,\n", " 0.0004777395915061916,\n", " 0.00042767320410709326,\n", " 0.000235123613229884,\n", " 0.00024012143116863168,\n", " 0.00022509998799347822,\n", " 0.0002249663139653633,\n", " 0.00024244727723125896,\n", " 0.0005006164747358289,\n", " 0.000291540255574728,\n", " 0.0002835381001332486,\n", " 0.00020596475406335204,\n", " 0.0002030672673974663,\n", " 0.0002712984686273238,\n", " 0.00023332721131515553,\n", " 0.00023274680300822825,\n", " 0.0002711203342463831,\n", " 0.00028287515382957964,\n", " 0.00021099749079053675,\n", " 0.0002630677304859412,\n", " 0.00025702069562911237,\n", " 0.00025189233903925607,\n", " 0.00025466839413360053,\n", " 0.0002621834022583043,\n", " 0.00023044937351453956,\n", " 0.0002647422886029966,\n", " 0.00025994940230857636,\n", " 0.00025829555174782876,\n", " 0.00022224864666715472,\n", " 0.000259927308805903,\n", " 0.0002550542576318646,\n", " 0.000251946115132901,\n", " 0.00020490475091587847,\n", " 0.0002683252707557709,\n", " 0.00023003012842916101,\n", " 0.00021503225172119555,\n", " 0.00025315941054004573,\n", " 0.00026393798434733986,\n", " 0.0002570231130692133,\n", " 0.00024148574544606072,\n", " 0.000262646994855401,\n", " 0.0003492053224796177,\n", " 0.00020663905441718384,\n", " 0.0002159991637470008,\n", " 0.0002201248248740928,\n", " 0.00026511887171640767,\n", " 0.00020822560919777386,\n", " 0.00026804969713368825,\n", " 0.00026399449797201847,\n", " 0.0002646671684778046,\n", " 0.00026214573644515814,\n", " 0.0002689392356122324,\n", " 0.000273870470383823,\n", " 0.00022324672993737782,\n", " 0.00022682075558001254,\n", " 0.0003215130305512898,\n", " 0.00048727376098981894,\n", " 0.0004960399244121474,\n", " 0.0003783436875486053,\n", " 0.000504616366492491,\n", " 0.00019878660874435124,\n", " 0.0002376696081459788,\n", " 0.00022324699358711685,\n", " 0.0002222265671761483,\n", " 0.0002463588565043276,\n", " 0.0004657617258324693,\n", " 0.00026528125651264324,\n", " 0.00023342548891771601,\n", " 0.0002367719518255069,\n", " 0.00027655438314973105,\n", " 0.00022809144756426964,\n", " 0.000222394982101282,\n", " 0.00022388921417988909,\n", " 0.00020997333990318914,\n", " 0.00022357844527001004,\n", " 0.0002408874650351089,\n", " 0.0002308079283991427,\n", " 0.0002284400862511491,\n", " 0.00021590248096791385,\n", " 0.0002599417639018193,\n", " 0.0002672168605896226,\n", " 0.0002676176824429637,\n", " 0.0002447291527572375,\n", " 0.0002323775543040199,\n", " 0.0003159782999346049,\n", " 0.00027241482324793495,\n", " 0.00026064329688998023,\n", " 0.00025900577955227736,\n", " 0.00024088569269097327,\n", " 0.0002250800282669136,\n", " 0.00022779200910349887,\n", " 0.000273961393370479,\n", " 0.0002662124136876157,\n", " 0.0004408096846484007,\n", " 0.0004740616833803021,\n", " 0.00022386289638435486,\n", " 0.00032081063998360847,\n", " 0.00020827950487268824,\n", " 0.0002252488630775668,\n", " 0.00020352607603009256,\n", " 0.00023806828916009455,\n", " 0.00023888432934061405,\n", " 0.0002428281024610417,\n", " 0.0002272444769247129,\n", " 0.00022186144703725767,\n", " 0.0004883008272951805,\n", " 0.0004458233633150582,\n", " 0.00041727902846750846,\n", " 0.0004139392180181282,\n", " 0.0003694103107691933,\n", " 0.00034157182244810044,\n", " 0.0003182525926801226,\n", " 0.0002950275030704981,\n", " 0.0002474047475390925,\n", " 0.0002390979022181551,\n", " 0.00028377296930134086,\n", " 0.00028294985008725374,\n", " 0.00023628985811015575,\n", " 0.0002356641215283511,\n", " 0.0002326750845419482,\n", " 0.0002367478405125458,\n", " 0.0002383586631478549,\n", " 0.0002598566676624926,\n", " 0.00027178517479336476,\n", " 0.0002460644952866969,\n", " 0.0002349106806640991,\n", " 0.0002632478826622236,\n", " 0.00023482824516374195,\n", " 0.00026680576687273367,\n", " 0.0002691494299865416,\n", " 0.0002695178138358613,\n", " 0.00026883088290871295,\n", " 0.00020946741436080266,\n", " 0.00023319955368886937,\n", " 0.0002161949835651715,\n", " 0.0002765466505851127,\n", " 0.0002955959290540698,\n", " 0.00021252944216053598,\n", " 0.0002047369360410398,\n", " 0.00022033912715498726,\n", " 0.00021452530827499787,\n", " 0.0002480222589583474,\n", " 0.0002256974146277446,\n", " 0.00026557142595970635,\n", " 0.00027683462083822225,\n", " 0.0004523415520531939,\n", " 0.0002663488674411498,\n", " 0.00027372394306384606,\n", " 0.00021524582539918314,\n", " 0.00023102990660262443,\n", " 0.0002363268051694358,\n", " 0.0002772856157924219,\n", " 0.0005084361201886089,\n", " 0.00022696778226588365,\n", " 0.0005138314579852047,\n", " 0.0003510699776119061,\n", " 0.0004927618067968295,\n", " 0.00024143623705345752,\n", " 0.00023216337022464553,\n", " 0.00023715256153277644,\n", " 0.00024272062414070828,\n", " 0.00023270800226260184,\n", " 0.00023697396448789897,\n", " 0.0005081287539180631,\n", " 0.00036003869636793144,\n", " 0.00024307121438333463,\n", " 0.0002817082861143026,\n", " 0.00020141667269218372,\n", " 0.00024044888406540526,\n", " 0.00023665008708510535,\n", " 0.0002877212511659484,\n", " 0.0002053063575116582,\n", " 0.00022833469909645416,\n", " 0.00022820405720643411,\n", " 0.0002519797925974836,\n", " 0.00023836226129676853,\n", " 0.00023907839057318565,\n", " 0.00022650034307087572,\n", " 0.0002230166256153578,\n", " 0.0002625895178860117,\n", " 0.00023181759336324305,\n", " 0.00022945434841334768,\n", " 0.0002603523907249894,\n", " 0.000270914350676769,\n", " 0.00022688709485139448,\n", " 0.0002709643453745897,\n", " 0.00029020683158910513,\n", " 0.00022126681132111358,\n", " 0.00022981146462894476,\n", " 0.00027199252715273605,\n", " 0.0003355819751185025,\n", " 0.0003169754390676239,\n", " 0.0002801098412864023,\n", " 0.00020804632115663412,\n", " 0.00024606673839197465,\n", " 0.00021262524502354356,\n", " 0.00021174575635848718,\n", " 0.0002499208990677232,\n", " 0.00023700972155000827,\n", " 0.0002683424263201628,\n", " 0.0002727990736977454,\n", " 0.0002094595968067332,\n", " 0.00026362896354713733,\n", " 0.0002462928469835977,\n", " 0.00026651101870548636,\n", " 0.0002611253737368239,\n", " 0.0005087269945213708,\n", " 0.0002347972039463062,\n", " 0.0003420740561268232,\n", " 0.0005264339200326826,\n", " 0.0002324749668782289,\n", " 0.00037291684693152187,\n", " 0.00020294936846119638,\n", " 0.00024689242930706886,\n", " 0.0002394569118320524,\n", " 0.00023282995789140274,\n", " 0.0002482152803775683,\n", " 0.0005043497263027117,\n", " 0.0003935912452624282,\n", " 0.00027585176843783433,\n", " 0.0002532357033430806,\n", " 0.0002019271431013449,\n", " 0.00024033573637324978,\n", " 0.0002414150524513727,\n", " 0.00027915799423727176,\n", " 0.00022977628067875626,\n", " 0.00023199258216109628,\n", " 0.0002336828688916724,\n", " 0.00023946239881152113,\n", " 0.00024047649501667342,\n", " 0.0002072630588775769,\n", " 0.00021513575429566025,\n", " 0.00020727236210952164,\n", " 0.00022405243465644634,\n", " 0.0002694700043560791,\n", " 0.0003020815072987705,\n", " 0.00022064622658779498,\n", " 0.00022966024326510003,\n", " 0.0002038565243139163,\n", " 0.00027795748484305525,\n", " 0.00022412319688771594,\n", " 0.0004073239671934306,\n", " 0.00023409566123452403,\n", " 0.0002400762262157307,\n", " 0.00028742222499159975,\n", " 0.0002847693007693012,\n", " 0.0002675438262647958,\n", " 0.00027723640650957447,\n", " 0.00024682998800776144,\n", " 0.00022758804665820215,\n", " 0.0002969411902937143,\n", " 0.0003270893316287644,\n", " 0.00024270099939010007,\n", " 0.00040574559321513885,\n", " 0.0004698230079745325,\n", " 0.0002330501302540789,\n", " 0.00022682160917069307,\n", " 0.0005033145742390559,\n", " 0.0003392787648707439,\n", " 0.00030323935259706,\n", " 0.0002986477367417678,\n", " 0.00023504834887799641,\n", " 0.0002156446507287354,\n", " 0.0002901602586047627,\n", " 0.0002384051254591677,\n", " 0.00023468149874405063,\n", " ...])" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "quantified_surface.azimuth = -135\n", "quantified_surface" ] }, { "cell_type": "code", "execution_count": 8, "id": "02ed9688-abab-4cb1-b25f-81c27cb2b34f", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "
\n", "\n", "\n", "nppas.SurfaceTuple
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
origin (z/y/x)[0. 0. 0.]
center of mass(z/y/x)57.561,308.175,440.144
scale(z/y/x)1.000,1.000,1.000
bounds (z/y/x)13.983...112.865
110.951...460.844
168.949...807.707
average size171.204
number of vertices3324
number of faces6643
min0.00015164454247100238
max0.0005448765616528308
\n", "\n", "
" ], "text/plain": [ "(array([[ 14.174363, 220.40599 , 224.08286 ],\n", " [ 13.983076, 208.15877 , 220.32153 ],\n", " [ 14.819012, 219.06023 , 229.4558 ],\n", " ...,\n", " [112.18208 , 356.98364 , 430.36832 ],\n", " [112.3784 , 360.45856 , 421.8425 ],\n", " [112.865425, 352.2561 , 422.1735 ]], dtype=float32),\n", " array([[ 0, 1, 2],\n", " [ 3, 4, 5],\n", " [ 6, 4, 7],\n", " ...,\n", " [3318, 3317, 3316],\n", " [3316, 3323, 3318],\n", " [3318, 3323, 3319]], dtype=int64),\n", " [0.0002572409483117654,\n", " 0.00025042866718866794,\n", " 0.0002531992227477513,\n", " 0.00037887302875519685,\n", " 0.00039058363169657424,\n", " 0.0003600190783964104,\n", " 0.0003812024248736095,\n", " 0.0004032214052519288,\n", " 0.0002661565851518192,\n", " 0.0002720534146162575,\n", " 0.0002614593000182443,\n", " 0.0002535430671034702,\n", " 0.0002444765153185341,\n", " 0.000257360827669421,\n", " 0.00025511530875216005,\n", " 0.00042729231737963306,\n", " 0.00040987383076612847,\n", " 0.0004150967696368238,\n", " 0.0003926723959885801,\n", " 0.0003564980315785759,\n", " 0.0003623340825496488,\n", " 0.00033555981114871653,\n", " 0.00033173650865084286,\n", " 0.0002921858941142099,\n", " 0.0002892736949807465,\n", " 0.0002721312389510652,\n", " 0.0002739698612751383,\n", " 0.00025648821536703267,\n", " 0.0002612249776248378,\n", " 0.0002478275507613372,\n", " 0.00026498619789606747,\n", " 0.00026065427051607403,\n", " 0.0002524483195951812,\n", " 0.00019891821191909436,\n", " 0.00020176568265474089,\n", " 0.00020818335784812488,\n", " 0.0001850191151668224,\n", " 0.0002076759196735631,\n", " 0.0001690413263473044,\n", " 0.00016712950748005062,\n", " 0.0001684276906393751,\n", " 0.00017519826069848274,\n", " 0.00017313698174847573,\n", " 0.00016952165218300845,\n", " 0.00017064989767587353,\n", " 0.00018770826806459447,\n", " 0.0001852143259732519,\n", " 0.0001923523927073288,\n", " 0.00019944376481798653,\n", " 0.00019322147485570867,\n", " 0.0004272880169744272,\n", " 0.00036595567871689725,\n", " 0.0003132085794564319,\n", " 0.00034012046388165316,\n", " 0.00030500059081084826,\n", " 0.00031644591183555357,\n", " 0.0003164924482079102,\n", " 0.0002717489166254353,\n", " 0.0002966246372772681,\n", " 0.0002696932664949742,\n", " 0.0002444676981293004,\n", " 0.00026216161449327605,\n", " 0.00026243819275078927,\n", " 0.00025959623242481785,\n", " 0.0002536757731849083,\n", " 0.00021426161322416978,\n", " 0.00021748430529425168,\n", " 0.0002040980568482802,\n", " 0.00021400355001653394,\n", " 0.00019214256535299328,\n", " 0.00020509264508201098,\n", " 0.00018253943460016533,\n", " 0.00017454588186636665,\n", " 0.0001713500138058328,\n", " 0.00017694103381585434,\n", " 0.00017555980167772148,\n", " 0.00017827197531162153,\n", " 0.00017038514614467286,\n", " 0.00016902581961629817,\n", " 0.00017623218514931563,\n", " 0.0001768753462650038,\n", " 0.00017058922428553688,\n", " 0.00017349616645110643,\n", " 0.00017501709326249017,\n", " 0.0001711842426333082,\n", " 0.0001693081006526344,\n", " 0.0001707192686465572,\n", " 0.00017425499642092498,\n", " 0.00017100157018340253,\n", " 0.00017163491312213996,\n", " 0.00017902069002878008,\n", " 0.00019059227938701603,\n", " 0.0001923885437297693,\n", " 0.00018288453427589888,\n", " 0.00018364720765073748,\n", " 0.0001868497096903202,\n", " 0.0001896479190321488,\n", " 0.00020123964674876847,\n", " 0.00019707817843142572,\n", " 0.00020782125792412858,\n", " 0.00021144493925669554,\n", " 0.00020766153444654346,\n", " 0.00043871884645211147,\n", " 0.0004009767688542877,\n", " 0.00040662381715911566,\n", " 0.0004314457126305084,\n", " 0.0003590238656272754,\n", " 0.0003306031915479628,\n", " 0.0003245627731504485,\n", " 0.0003002202891710231,\n", " 0.00029067551937629604,\n", " 0.00032003665234913705,\n", " 0.000262084120447589,\n", " 0.0002616737912426526,\n", " 0.00026765465224470907,\n", " 0.0002642306988428909,\n", " 0.0002521125145869295,\n", " 0.0002562409438027258,\n", " 0.00026524212313002913,\n", " 0.00025775642493665383,\n", " 0.0002527826022894682,\n", " 0.0002511083640454574,\n", " 0.00025872755582161615,\n", " 0.0002525425677182156,\n", " 0.0002202958097073085,\n", " 0.00022296004718168385,\n", " 0.00022531950092256778,\n", " 0.0001959227614219583,\n", " 0.00018939125953744125,\n", " 0.00019768087544193047,\n", " 0.00019178026167455538,\n", " 0.00018047806258040714,\n", " 0.00019168217876493543,\n", " 0.0001854649539868315,\n", " 0.00017275093398090628,\n", " 0.0001739426121088212,\n", " 0.0001721593673798292,\n", " 0.00016934862505775538,\n", " 0.0001703908558524394,\n", " 0.00017916195998997586,\n", " 0.0001740827321789608,\n", " 0.00017847634207757889,\n", " 0.00019923057882689863,\n", " 0.00020583932838629006,\n", " 0.00020088081237020728,\n", " 0.0001770723133434025,\n", " 0.00018225261479453097,\n", " 0.00018366698090515655,\n", " 0.0001839510525160222,\n", " 0.00019009394550183789,\n", " 0.00019110735418332417,\n", " 0.0001961086462098786,\n", " 0.00020264192042413322,\n", " 0.00019081470141223375,\n", " 0.0001911449718892122,\n", " 0.00019340424649958823,\n", " 0.00019099880937553554,\n", " 0.00019304701721413253,\n", " 0.0002088798367192103,\n", " 0.00021266639930419174,\n", " 0.00020125843236592995,\n", " 0.00021984663440018348,\n", " 0.0002116529027549625,\n", " 0.00021973863485490733,\n", " 0.00046776821535878297,\n", " 0.0004485669192628907,\n", " 0.00040752902243874363,\n", " 0.0003390299981766002,\n", " 0.00028404249833768777,\n", " 0.00027518484063141353,\n", " 0.00028966281369440146,\n", " 0.0002456891891690936,\n", " 0.0002681408431344346,\n", " 0.00025067017745307603,\n", " 0.0002512694996493835,\n", " 0.0002701620100982459,\n", " 0.0002655611133476862,\n", " 0.00024298182507705762,\n", " 0.00022854620363627426,\n", " 0.00022030624310974731,\n", " 0.00021193312066660378,\n", " 0.00020914621947957078,\n", " 0.00018000802256514222,\n", " 0.00019859616560046942,\n", " 0.000192520192177157,\n", " 0.00018368592865268782,\n", " 0.00020316205136171884,\n", " 0.00017549459816169303,\n", " 0.00020597873799317183,\n", " 0.00020132725385164606,\n", " 0.00018959219087017666,\n", " 0.00016916695439046545,\n", " 0.0001713402548120956,\n", " 0.00020547508742545007,\n", " 0.00020901978265262753,\n", " 0.00018903389216157144,\n", " 0.00018145574637417995,\n", " 0.00018998581222857587,\n", " 0.00018162241388167526,\n", " 0.000203386400246518,\n", " 0.000208874310192469,\n", " 0.00018218324259734555,\n", " 0.000196258915795681,\n", " 0.00018979140090049282,\n", " 0.00019854015987737548,\n", " 0.0001989071980163347,\n", " 0.00019626389248716082,\n", " 0.00019473928896237075,\n", " 0.00021035423319750856,\n", " 0.00021647585725383098,\n", " 0.00020151710974876996,\n", " 0.0002096047934157277,\n", " 0.0004680865798606284,\n", " 0.00043643942220402874,\n", " 0.00045955931586469655,\n", " 0.00032574646654771254,\n", " 0.00032070422568487535,\n", " 0.0002723585552231615,\n", " 0.0002686969019314391,\n", " 0.00026541602221863045,\n", " 0.00024405238976237784,\n", " 0.0002690032181377179,\n", " 0.00025055720911743414,\n", " 0.0002461817363861581,\n", " 0.00024673033956802606,\n", " 0.0002489148609306626,\n", " 0.00024092942088554798,\n", " 0.00026300275479939305,\n", " 0.0002575577361659125,\n", " 0.0002263660404615987,\n", " 0.00022854644883068946,\n", " 0.0001948637801409936,\n", " 0.00022286741331099176,\n", " 0.00021881525775487378,\n", " 0.00020730612312128005,\n", " 0.00019922317142017764,\n", " 0.0002106423209152624,\n", " 0.0001937771165249365,\n", " 0.00020643066433257364,\n", " 0.0002008719668712928,\n", " 0.00019237338894491558,\n", " 0.00018792880860031035,\n", " 0.00018771574080785416,\n", " 0.00019584417460056017,\n", " 0.0001991795753341003,\n", " 0.00020813812911828772,\n", " 0.00020708107200883367,\n", " 0.00020031426605868295,\n", " 0.0002055777715214283,\n", " 0.0001948890586612668,\n", " 0.00021939174663669246,\n", " 0.0002117143459356029,\n", " 0.00022370677438643513,\n", " 0.00021779231311392876,\n", " 0.0002309675520474359,\n", " 0.0002283503484300704,\n", " 0.000492589026743866,\n", " 0.0004568308976832353,\n", " 0.00039599550266274986,\n", " 0.00035391816464968386,\n", " 0.00034710735994420577,\n", " 0.000310571409190902,\n", " 0.00026946852780939605,\n", " 0.00024433451245367625,\n", " 0.0002707673049030154,\n", " 0.0002404592644654933,\n", " 0.0002327800877342916,\n", " 0.00024398479677139936,\n", " 0.0002607439119219324,\n", " 0.00023300398987472856,\n", " 0.0002555874148730387,\n", " 0.0002231415223809325,\n", " 0.0002322138108309095,\n", " 0.00025102431055217846,\n", " 0.00022824839267056603,\n", " 0.00022482730093632296,\n", " 0.00020672239491871847,\n", " 0.00018328193237959598,\n", " 0.00019157238215190812,\n", " 0.00019908276288780417,\n", " 0.00019506833313707517,\n", " 0.00018733947917816692,\n", " 0.00021202865270770593,\n", " 0.00021524312286907288,\n", " 0.00018038291445962088,\n", " 0.00017676284863639888,\n", " 0.00021132059926795585,\n", " 0.0002055417880661882,\n", " 0.00019734251305815757,\n", " 0.0001743536798209669,\n", " 0.00020939486181488018,\n", " 0.0002114207227380847,\n", " 0.0002146481175787506,\n", " 0.0002119685161447376,\n", " 0.0001837017879044986,\n", " 0.00018743850672576668,\n", " 0.0002074918058438426,\n", " 0.0001950841549790114,\n", " 0.00020904511709764784,\n", " 0.0001943279803240434,\n", " 0.00021580077995388052,\n", " 0.0002080730561690934,\n", " 0.0002076710010649108,\n", " 0.00021671016132767618,\n", " 0.00019709817011781162,\n", " 0.0002027607872706698,\n", " 0.00020024927014514857,\n", " 0.00020672060086834835,\n", " 0.0002309500910051472,\n", " 0.00048482965784988507,\n", " 0.0004674311979821743,\n", " 0.00040372562853103523,\n", " 0.0003724680808212764,\n", " 0.00032247611231371414,\n", " 0.0002955691169265773,\n", " 0.00028783765787860797,\n", " 0.00031979281662994385,\n", " 0.0002912175725564022,\n", " 0.00024424046832551065,\n", " 0.0002708491863007032,\n", " 0.0002775801317309271,\n", " 0.00023299845725594052,\n", " 0.00022901481747290562,\n", " 0.0002197787166332614,\n", " 0.0001985638463038121,\n", " 0.0002101291671081594,\n", " 0.00021757838052402338,\n", " 0.00021416364351621876,\n", " 0.00021178154667650007,\n", " 0.0001769012284444127,\n", " 0.0002071754107415163,\n", " 0.0002114614157171121,\n", " 0.00021511856012035682,\n", " 0.0002037515161060317,\n", " 0.00019690474562870407,\n", " 0.00019918128340407792,\n", " 0.00019244986007417432,\n", " 0.00018446177443640958,\n", " 0.00020164928467767836,\n", " 0.00018894863480386912,\n", " 0.0002184789675083205,\n", " 0.00021246014973784166,\n", " 0.00021484351284961273,\n", " 0.00023050084401594407,\n", " 0.00047855134511230355,\n", " 0.0004437276418315804,\n", " 0.00040003002926159434,\n", " 0.0003680682219857416,\n", " 0.00025404682797200136,\n", " 0.0002477618977419019,\n", " 0.0002445566764788956,\n", " 0.0002461953919776252,\n", " 0.0002735197541529191,\n", " 0.0002329358656724729,\n", " 0.00026711627709193937,\n", " 0.00027042079134058725,\n", " 0.00024580366261784607,\n", " 0.00022828298321268809,\n", " 0.000225413698654941,\n", " 0.0002002083465991755,\n", " 0.0002213931021629025,\n", " 0.00020326158290221284,\n", " 0.0002048156937653914,\n", " 0.00021423711593993866,\n", " 0.00021846363333007516,\n", " 0.00020761958885269263,\n", " 0.00021409717873805092,\n", " 0.00021783558292171872,\n", " 0.00021631560841671555,\n", " 0.0002057118425664852,\n", " 0.0002186834640952807,\n", " 0.00020087987183766323,\n", " 0.000203864689368542,\n", " 0.00020296022733738852,\n", " 0.00018630535263512745,\n", " 0.0001909324110043715,\n", " 0.00019354134821432866,\n", " 0.0002068310689818182,\n", " 0.00021617548276783434,\n", " 0.00020269858175096876,\n", " 0.0002211590976297711,\n", " 0.0002261887075221709,\n", " 0.00020290715637311265,\n", " 0.00020600602635844045,\n", " 0.00021167386306702402,\n", " 0.00023528694630057438,\n", " 0.00047104248881903144,\n", " 0.0004298671806014713,\n", " 0.00034848833666032287,\n", " 0.0002717678425272209,\n", " 0.000283739692619466,\n", " 0.00026849644337294704,\n", " 0.00024069440776475586,\n", " 0.00022792909458651246,\n", " 0.0002746198992432774,\n", " 0.00026344743370852974,\n", " 0.00023846789459395037,\n", " 0.0002341241780359544,\n", " 0.00022796576905988043,\n", " 0.00023408361358263522,\n", " 0.0002577927093940078,\n", " 0.00023234344530115872,\n", " 0.00025673578628640763,\n", " 0.00021888667455907077,\n", " 0.00021326189610261718,\n", " 0.00022372972128355465,\n", " 0.00020302122915970118,\n", " 0.00020127033279710373,\n", " 0.00021927333816150411,\n", " 0.00021292867755350273,\n", " 0.0002169841658335495,\n", " 0.00020855907600225642,\n", " 0.00021362653859921958,\n", " 0.00021671155039467774,\n", " 0.00021414073658895493,\n", " 0.00021448110007243743,\n", " 0.00020619395397284332,\n", " 0.00035407168317798024,\n", " 0.0003737573408284832,\n", " 0.0003815991057690912,\n", " 0.0002194328601539502,\n", " 0.00021126113177152893,\n", " 0.0002054056363368125,\n", " 0.0002114054223032478,\n", " 0.00019662963218791988,\n", " 0.00022620524968392446,\n", " 0.00022716251251196835,\n", " 0.00020701803644182864,\n", " 0.00023832414334023775,\n", " 0.00023570374876096063,\n", " 0.0004936242307039256,\n", " 0.0005008874445865387,\n", " 0.0004987881968963418,\n", " 0.000454423571913552,\n", " 0.00043299916515746463,\n", " 0.0004039409381393438,\n", " 0.00028993874654093687,\n", " 0.0003056676659953289,\n", " 0.0002797703967201703,\n", " 0.00027889568315659193,\n", " 0.00027109142825509485,\n", " 0.00026815857919730156,\n", " 0.00023646989900288578,\n", " 0.00023216303135617974,\n", " 0.00020806156322725276,\n", " 0.00020715839311273563,\n", " 0.00021390372536674574,\n", " 0.00022771576993049127,\n", " 0.00023849221376701294,\n", " 0.00025156311975653396,\n", " 0.00020831596500247416,\n", " 0.00021215041271337038,\n", " 0.0002204255633521189,\n", " 0.0002134169519207485,\n", " 0.00021155013843693308,\n", " 0.00035107824600993004,\n", " 0.00038515106934470535,\n", " 0.0003227215258586011,\n", " 0.0003994267414881104,\n", " 0.00040587644016793487,\n", " 0.00020928466654789688,\n", " 0.00033288041781442084,\n", " 0.0003680703947488343,\n", " 0.0003958342313438043,\n", " 0.00021840370622569212,\n", " 0.00022231991203276898,\n", " 0.00020775347197660092,\n", " 0.00019182181677096166,\n", " 0.00022019346880026053,\n", " 0.00022323515224011503,\n", " 0.00021570608190538305,\n", " 0.00022518737441733534,\n", " 0.00021050182539955546,\n", " 0.00022017624049791625,\n", " 0.00021796752033351687,\n", " 0.00024101367195080846,\n", " 0.00023832527363578488,\n", " 0.000503632251065675,\n", " 0.00047727781379027233,\n", " 0.0004609891814596501,\n", " 0.0003856725323676667,\n", " 0.0002596769888765666,\n", " 0.00023180513597945344,\n", " 0.0002248141976582217,\n", " 0.00022220998178813767,\n", " 0.00026377909438432046,\n", " 0.00021410161647344094,\n", " 0.00022968652284117646,\n", " 0.00024077399771173672,\n", " 0.00022078960215869554,\n", " 0.00022384823723361742,\n", " 0.00021593587589431733,\n", " 0.0002117721358041025,\n", " 0.00020749997948282933,\n", " 0.0002975105921703266,\n", " 0.0003269871316623249,\n", " 0.0002994133405402456,\n", " 0.0003139939216724202,\n", " 0.00031737583633959426,\n", " 0.0003294658150922287,\n", " 0.0003543595463959959,\n", " 0.00041393498911755546,\n", " 0.00039878158280729354,\n", " 0.00021293094512325628,\n", " 0.0003774494782826511,\n", " 0.00019702387347654893,\n", " 0.00021489198322365317,\n", " 0.00020101950058212646,\n", " 0.00020386292342649008,\n", " 0.00021779241288615,\n", " 0.0002199491124709291,\n", " 0.00023484160842145502,\n", " 0.0002103664684613885,\n", " 0.00021416229496911071,\n", " 0.00022368961335334962,\n", " 0.00022776964843339138,\n", " 0.0005061701113219461,\n", " 0.0004845695064637122,\n", " 0.0003908862091443241,\n", " 0.000356775318810615,\n", " 0.0003334777403748549,\n", " 0.0003341874365765048,\n", " 0.000304998689892581,\n", " 0.0002449441410515119,\n", " 0.0002423099092163534,\n", " 0.0002761673018530653,\n", " 0.00028079664573006115,\n", " 0.00021650153247470207,\n", " 0.0002829571811634665,\n", " 0.00022081208774272774,\n", " 0.00023080248021315494,\n", " 0.00023109588089876708,\n", " 0.00021875886541004345,\n", " 0.00023045213339867247,\n", " 0.00021498388806971076,\n", " 0.00021027289033857908,\n", " 0.00025901919177296343,\n", " 0.00024078671221461857,\n", " 0.00025157071006659814,\n", " 0.00024489469365698526,\n", " 0.00021782058192957907,\n", " 0.00021377891461567792,\n", " 0.0002620664344594354,\n", " 0.00026036111177190984,\n", " 0.00026209615764793867,\n", " 0.00020900989756630998,\n", " 0.00027239311039243625,\n", " 0.0002796771409639387,\n", " 0.00029297036127149165,\n", " 0.00035572319733929606,\n", " 0.00021346342471381482,\n", " 0.0004225066886135695,\n", " 0.00022206350259231254,\n", " 0.0004204287373611115,\n", " 0.00021023906946195464,\n", " 0.00021032580619965356,\n", " 0.00030614781441345854,\n", " 0.00027437550058159325,\n", " 0.00043052067218247455,\n", " 0.00022158047232672922,\n", " 0.00021820411995549007,\n", " 0.0003416833906779358,\n", " 0.0004269416487810156,\n", " 0.00020594391861474118,\n", " 0.00034620060488255524,\n", " 0.00037672278469688274,\n", " 0.00041465356175870684,\n", " 0.00023284995486699226,\n", " 0.0002332323726910148,\n", " 0.00021972163432454594,\n", " 0.00021577161578990303,\n", " 0.0002152758290198492,\n", " 0.00023894466813732606,\n", " 0.00021950324546062837,\n", " 0.00023619770204550802,\n", " 0.00042466269184215975,\n", " 0.00037488607391809577,\n", " 0.0003003789812309556,\n", " 0.00024609257248382993,\n", " 0.0002869648741774345,\n", " 0.00021640823659621562,\n", " 0.00021646218840134777,\n", " 0.00021436147589927606,\n", " 0.00022104774140382257,\n", " 0.00021791879950005285,\n", " 0.00026122295913236167,\n", " 0.00021505252702217243,\n", " 0.0002266755144537834,\n", " 0.00021657792379842778,\n", " 0.0002295896343204536,\n", " 0.00024274865402102675,\n", " 0.00021989783934526868,\n", " 0.00022083733746111072,\n", " 0.0002636557292629127,\n", " 0.00026281884993372627,\n", " 0.0002646336807886264,\n", " 0.0002555415368646273,\n", " 0.00025524114389854235,\n", " 0.0002088282122686083,\n", " 0.0002577255122026323,\n", " 0.0002156566660238897,\n", " 0.00027697483250299225,\n", " 0.0003044963075247014,\n", " 0.0003326266413538081,\n", " 0.0002191205954385558,\n", " 0.0002120177269611744,\n", " 0.00025596167264917266,\n", " 0.00042082863657708856,\n", " 0.00040470162639091883,\n", " 0.0002083985236868652,\n", " 0.0004446488435389724,\n", " 0.00045458411280314417,\n", " 0.00020964787868269492,\n", " 0.0004506449763059401,\n", " 0.00019352940245649406,\n", " 0.00022883553757297963,\n", " 0.00023208763747875253,\n", " 0.00023633568411705723,\n", " 0.0002338388890831334,\n", " 0.00044814878942722627,\n", " 0.0003995029761896205,\n", " 0.0002862617732293846,\n", " 0.00023886667487118594,\n", " 0.0002649002271144391,\n", " 0.00022584415963479695,\n", " 0.0002621490476188427,\n", " 0.0002168301954488264,\n", " 0.0002325613170190171,\n", " 0.00023076621561532852,\n", " 0.0002194030958930049,\n", " 0.00026306111814992537,\n", " 0.0002191658684518849,\n", " 0.00026471507318123993,\n", " 0.00021654778211774024,\n", " 0.00022339338487157881,\n", " 0.00021745345764173402,\n", " 0.00022915902599551606,\n", " 0.000259966324257117,\n", " 0.00020849065821372393,\n", " 0.00026457406252075204,\n", " 0.00025883381979967664,\n", " 0.00021930354386382153,\n", " 0.00026214571657280845,\n", " 0.0002635875352115152,\n", " 0.000266602733341571,\n", " 0.0002631179700061342,\n", " 0.00025697924383927875,\n", " 0.0002609317118873354,\n", " 0.0002571542876495896,\n", " 0.00031983848438777655,\n", " 0.00026060453209644113,\n", " 0.00021117882074105326,\n", " 0.0002195236282388052,\n", " 0.00022345153450550913,\n", " 0.00021213692909023712,\n", " 0.00028445021728066785,\n", " 0.0004415644964506656,\n", " 0.0002149528469996647,\n", " 0.0003113450567907527,\n", " 0.00022239911997871137,\n", " 0.00046640855045513815,\n", " 0.0003449265196353005,\n", " 0.0002129046799596582,\n", " 0.0004774985075816509,\n", " 0.00019922766001181677,\n", " 0.00038019706587825953,\n", " 0.00019706423376235992,\n", " 0.00021739886226839337,\n", " 0.00022543681040504076,\n", " 0.0002289067431934797,\n", " 0.00023746041369981143,\n", " 0.00022391688321705226,\n", " 0.00021855726826674695,\n", " 0.00021961187630663146,\n", " 0.0002292178442094261,\n", " 0.00023306827187975434,\n", " 0.000508649719997113,\n", " 0.00047126435369137463,\n", " 0.0003990158219635763,\n", " 0.0003732971065434158,\n", " 0.0002663768140644715,\n", " 0.0002917938749731196,\n", " 0.00022082375526616513,\n", " 0.00020671686633420892,\n", " 0.00021169910677421684,\n", " 0.00020964821784120866,\n", " 0.0002658637651858694,\n", " 0.00022816184665813393,\n", " 0.0002688825112392039,\n", " 0.00027258616417736415,\n", " 0.0002619098501676952,\n", " 0.0002208455421548181,\n", " 0.00021436467697858732,\n", " 0.00021935476852992747,\n", " 0.00021524975899276275,\n", " 0.0002655258715398927,\n", " 0.0002239427068495667,\n", " 0.0002592854692394666,\n", " 0.00026343497965045646,\n", " 0.0002587882551545605,\n", " 0.0002614104985821019,\n", " 0.00026655242313843144,\n", " 0.0002532581769726192,\n", " 0.0002581591356594534,\n", " 0.0002628822068248438,\n", " 0.00024399644033476744,\n", " 0.00021775052765661885,\n", " 0.0002611769935631919,\n", " 0.0002706721661976996,\n", " 0.0002701733870593791,\n", " 0.00028883001968482876,\n", " 0.00020674409359196312,\n", " 0.00021507395487174318,\n", " 0.00025403535696610766,\n", " 0.00031003415040967955,\n", " 0.0002075929945693273,\n", " 0.00020433533896604204,\n", " 0.00026268118445649057,\n", " 0.0003760881576705622,\n", " 0.00039594892604301367,\n", " 0.00026394186270435024,\n", " 0.0002599428857549487,\n", " 0.0002622354493959575,\n", " 0.0002202616882933266,\n", " 0.0002672085094468217,\n", " 0.00022558808477495795,\n", " 0.00026754188719080513,\n", " 0.00022791404327283845,\n", " 0.0002702011989892223,\n", " 0.0002876597656714381,\n", " 0.00045629578690428653,\n", " 0.0002180526384202751,\n", " 0.0004942780933326304,\n", " 0.0002156890260159447,\n", " 0.000347524741178945,\n", " 0.0004777395915061916,\n", " 0.00042767320410709326,\n", " 0.000235123613229884,\n", " 0.00024012143116863168,\n", " 0.00022509998799347822,\n", " 0.0002249663139653633,\n", " 0.00024244727723125896,\n", " 0.0005006164747358289,\n", " 0.000291540255574728,\n", " 0.0002835381001332486,\n", " 0.00020596475406335204,\n", " 0.0002030672673974663,\n", " 0.0002712984686273238,\n", " 0.00023332721131515553,\n", " 0.00023274680300822825,\n", " 0.0002711203342463831,\n", " 0.00028287515382957964,\n", " 0.00021099749079053675,\n", " 0.0002630677304859412,\n", " 0.00025702069562911237,\n", " 0.00025189233903925607,\n", " 0.00025466839413360053,\n", " 0.0002621834022583043,\n", " 0.00023044937351453956,\n", " 0.0002647422886029966,\n", " 0.00025994940230857636,\n", " 0.00025829555174782876,\n", " 0.00022224864666715472,\n", " 0.000259927308805903,\n", " 0.0002550542576318646,\n", " 0.000251946115132901,\n", " 0.00020490475091587847,\n", " 0.0002683252707557709,\n", " 0.00023003012842916101,\n", " 0.00021503225172119555,\n", " 0.00025315941054004573,\n", " 0.00026393798434733986,\n", " 0.0002570231130692133,\n", " 0.00024148574544606072,\n", " 0.000262646994855401,\n", " 0.0003492053224796177,\n", " 0.00020663905441718384,\n", " 0.0002159991637470008,\n", " 0.0002201248248740928,\n", " 0.00026511887171640767,\n", " 0.00020822560919777386,\n", " 0.00026804969713368825,\n", " 0.00026399449797201847,\n", " 0.0002646671684778046,\n", " 0.00026214573644515814,\n", " 0.0002689392356122324,\n", " 0.000273870470383823,\n", " 0.00022324672993737782,\n", " 0.00022682075558001254,\n", " 0.0003215130305512898,\n", " 0.00048727376098981894,\n", " 0.0004960399244121474,\n", " 0.0003783436875486053,\n", " 0.000504616366492491,\n", " 0.00019878660874435124,\n", " 0.0002376696081459788,\n", " 0.00022324699358711685,\n", " 0.0002222265671761483,\n", " 0.0002463588565043276,\n", " 0.0004657617258324693,\n", " 0.00026528125651264324,\n", " 0.00023342548891771601,\n", " 0.0002367719518255069,\n", " 0.00027655438314973105,\n", " 0.00022809144756426964,\n", " 0.000222394982101282,\n", " 0.00022388921417988909,\n", " 0.00020997333990318914,\n", " 0.00022357844527001004,\n", " 0.0002408874650351089,\n", " 0.0002308079283991427,\n", " 0.0002284400862511491,\n", " 0.00021590248096791385,\n", " 0.0002599417639018193,\n", " 0.0002672168605896226,\n", " 0.0002676176824429637,\n", " 0.0002447291527572375,\n", " 0.0002323775543040199,\n", " 0.0003159782999346049,\n", " 0.00027241482324793495,\n", " 0.00026064329688998023,\n", " 0.00025900577955227736,\n", " 0.00024088569269097327,\n", " 0.0002250800282669136,\n", " 0.00022779200910349887,\n", " 0.000273961393370479,\n", " 0.0002662124136876157,\n", " 0.0004408096846484007,\n", " 0.0004740616833803021,\n", " 0.00022386289638435486,\n", " 0.00032081063998360847,\n", " 0.00020827950487268824,\n", " 0.0002252488630775668,\n", " 0.00020352607603009256,\n", " 0.00023806828916009455,\n", " 0.00023888432934061405,\n", " 0.0002428281024610417,\n", " 0.0002272444769247129,\n", " 0.00022186144703725767,\n", " 0.0004883008272951805,\n", " 0.0004458233633150582,\n", " 0.00041727902846750846,\n", " 0.0004139392180181282,\n", " 0.0003694103107691933,\n", " 0.00034157182244810044,\n", " 0.0003182525926801226,\n", " 0.0002950275030704981,\n", " 0.0002474047475390925,\n", " 0.0002390979022181551,\n", " 0.00028377296930134086,\n", " 0.00028294985008725374,\n", " 0.00023628985811015575,\n", " 0.0002356641215283511,\n", " 0.0002326750845419482,\n", " 0.0002367478405125458,\n", " 0.0002383586631478549,\n", " 0.0002598566676624926,\n", " 0.00027178517479336476,\n", " 0.0002460644952866969,\n", " 0.0002349106806640991,\n", " 0.0002632478826622236,\n", " 0.00023482824516374195,\n", " 0.00026680576687273367,\n", " 0.0002691494299865416,\n", " 0.0002695178138358613,\n", " 0.00026883088290871295,\n", " 0.00020946741436080266,\n", " 0.00023319955368886937,\n", " 0.0002161949835651715,\n", " 0.0002765466505851127,\n", " 0.0002955959290540698,\n", " 0.00021252944216053598,\n", " 0.0002047369360410398,\n", " 0.00022033912715498726,\n", " 0.00021452530827499787,\n", " 0.0002480222589583474,\n", " 0.0002256974146277446,\n", " 0.00026557142595970635,\n", " 0.00027683462083822225,\n", " 0.0004523415520531939,\n", " 0.0002663488674411498,\n", " 0.00027372394306384606,\n", " 0.00021524582539918314,\n", " 0.00023102990660262443,\n", " 0.0002363268051694358,\n", " 0.0002772856157924219,\n", " 0.0005084361201886089,\n", " 0.00022696778226588365,\n", " 0.0005138314579852047,\n", " 0.0003510699776119061,\n", " 0.0004927618067968295,\n", " 0.00024143623705345752,\n", " 0.00023216337022464553,\n", " 0.00023715256153277644,\n", " 0.00024272062414070828,\n", " 0.00023270800226260184,\n", " 0.00023697396448789897,\n", " 0.0005081287539180631,\n", " 0.00036003869636793144,\n", " 0.00024307121438333463,\n", " 0.0002817082861143026,\n", " 0.00020141667269218372,\n", " 0.00024044888406540526,\n", " 0.00023665008708510535,\n", " 0.0002877212511659484,\n", " 0.0002053063575116582,\n", " 0.00022833469909645416,\n", " 0.00022820405720643411,\n", " 0.0002519797925974836,\n", " 0.00023836226129676853,\n", " 0.00023907839057318565,\n", " 0.00022650034307087572,\n", " 0.0002230166256153578,\n", " 0.0002625895178860117,\n", " 0.00023181759336324305,\n", " 0.00022945434841334768,\n", " 0.0002603523907249894,\n", " 0.000270914350676769,\n", " 0.00022688709485139448,\n", " 0.0002709643453745897,\n", " 0.00029020683158910513,\n", " 0.00022126681132111358,\n", " 0.00022981146462894476,\n", " 0.00027199252715273605,\n", " 0.0003355819751185025,\n", " 0.0003169754390676239,\n", " 0.0002801098412864023,\n", " 0.00020804632115663412,\n", " 0.00024606673839197465,\n", " 0.00021262524502354356,\n", " 0.00021174575635848718,\n", " 0.0002499208990677232,\n", " 0.00023700972155000827,\n", " 0.0002683424263201628,\n", " 0.0002727990736977454,\n", " 0.0002094595968067332,\n", " 0.00026362896354713733,\n", " 0.0002462928469835977,\n", " 0.00026651101870548636,\n", " 0.0002611253737368239,\n", " 0.0005087269945213708,\n", " 0.0002347972039463062,\n", " 0.0003420740561268232,\n", " 0.0005264339200326826,\n", " 0.0002324749668782289,\n", " 0.00037291684693152187,\n", " 0.00020294936846119638,\n", " 0.00024689242930706886,\n", " 0.0002394569118320524,\n", " 0.00023282995789140274,\n", " 0.0002482152803775683,\n", " 0.0005043497263027117,\n", " 0.0003935912452624282,\n", " 0.00027585176843783433,\n", " 0.0002532357033430806,\n", " 0.0002019271431013449,\n", " 0.00024033573637324978,\n", " 0.0002414150524513727,\n", " 0.00027915799423727176,\n", " 0.00022977628067875626,\n", " 0.00023199258216109628,\n", " 0.0002336828688916724,\n", " 0.00023946239881152113,\n", " 0.00024047649501667342,\n", " 0.0002072630588775769,\n", " 0.00021513575429566025,\n", " 0.00020727236210952164,\n", " 0.00022405243465644634,\n", " 0.0002694700043560791,\n", " 0.0003020815072987705,\n", " 0.00022064622658779498,\n", " 0.00022966024326510003,\n", " 0.0002038565243139163,\n", " 0.00027795748484305525,\n", " 0.00022412319688771594,\n", " 0.0004073239671934306,\n", " 0.00023409566123452403,\n", " 0.0002400762262157307,\n", " 0.00028742222499159975,\n", " 0.0002847693007693012,\n", " 0.0002675438262647958,\n", " 0.00027723640650957447,\n", " 0.00024682998800776144,\n", " 0.00022758804665820215,\n", " 0.0002969411902937143,\n", " 0.0003270893316287644,\n", " 0.00024270099939010007,\n", " 0.00040574559321513885,\n", " 0.0004698230079745325,\n", " 0.0002330501302540789,\n", " 0.00022682160917069307,\n", " 0.0005033145742390559,\n", " 0.0003392787648707439,\n", " 0.00030323935259706,\n", " 0.0002986477367417678,\n", " 0.00023504834887799641,\n", " 0.0002156446507287354,\n", " 0.0002901602586047627,\n", " 0.0002384051254591677,\n", " 0.00023468149874405063,\n", " ...])" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "quantified_surface.cmap = 'jet'\n", "quantified_surface" ] }, { "cell_type": "markdown", "id": "b21a91a9-361e-4346-84f8-2273eb3ff86a", "metadata": {}, "source": [ "## Interacting with surface data in Napari\n", "We now open Napari to interact with the data" ] }, { "cell_type": "code", "execution_count": 9, "id": "e6ae4134-a40d-4996-bfaa-809d9065f2b4", "metadata": {}, "outputs": [], "source": [ "viewer = napari.Viewer(ndisplay=3)\n", "viewer.camera.angles = (40, -30, 55)" ] }, { "cell_type": "code", "execution_count": 10, "id": "7d375a89-ac37-4769-83e9-8fdd63644f26", "metadata": {}, "outputs": [], "source": [ "surface_layer = viewer.add_surface(surface, colormap='hsv')" ] }, { "cell_type": "code", "execution_count": 11, "id": "8a699542-a866-4723-9b67-231101555bd6", "metadata": {}, "outputs": [], "source": [ "surface_layer.properties = df.to_dict(orient='list')\n", "surface_layer.features = df" ] }, { "cell_type": "code", "execution_count": 12, "id": "59c87e62-f584-40f8-9075-b1d4fdb9caf6", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Napari status bar display of label properties disabled because https://github.com/napari/napari/issues/5417 and https://github.com/napari/napari/issues/4342\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from napari_skimage_regionprops import add_table\n", "add_table(surface_layer, viewer)" ] }, { "cell_type": "code", "execution_count": 13, "id": "e9ace4e2-9476-47a6-b9ff-f4bbd5365bd5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "viewer.window.add_dock_widget(nppas.SurfaceAnnotationWidget(viewer))" ] }, { "cell_type": "markdown", "id": "cf7cbf79-bc7d-4602-a675-60adbf23009f", "metadata": {}, "source": [ "# Manual annotation\n", "Use the napari window and the Surface Annotation Widget to draw with value 2 and 3 in concave and convex region on the surface." ] }, { "cell_type": "code", "execution_count": 14, "id": "a160e406-7b4a-48f4-94f0-3f6aef6d63bf", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/html": [ "\"\"" ], "text/plain": [ "" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "napari.utils.nbscreenshot(viewer)" ] }, { "cell_type": "code", "execution_count": 15, "id": "e50f0225-d447-4b05-8a26-c7f2d570325a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "name": "stdout", "output_type": "stream", "text": [ "Selected surface layer: surface\n", "Selected measurements: ['Quality.AREA', 'Quality.ASPECT_RATIO', 'Quality.GAUSS_CURVATURE', 'Quality.MEAN_CURVATURE', 'Quality.SPHERE_FITTED_CURVATURE_HECTA_VOXEL', 'Quality.SPHERE_FITTED_CURVATURE_KILO_VOXEL']\n", "selected properties Quality.AREA Quality.ASPECT_RATIO Quality.GAUSS_CURVATURE \\\n", "0 29.997389 1.600400 0.030287 \n", "1 46.087046 1.602183 0.011136 \n", "2 35.886338 1.400599 0.012633 \n", "3 22.887296 1.751932 0.036979 \n", "4 29.952347 1.220882 0.010277 \n", "... ... ... ... \n", "3319 25.079661 1.340802 0.031878 \n", "3320 47.213916 1.254924 0.004615 \n", "3321 35.964707 1.140267 0.015661 \n", "3322 45.673529 1.189562 0.011380 \n", "3323 30.105530 1.151230 0.014396 \n", "\n", " Quality.MEAN_CURVATURE Quality.SPHERE_FITTED_CURVATURE_HECTA_VOXEL \\\n", "0 0.000490 0.000257 \n", "1 0.000018 0.000250 \n", "2 0.000142 0.000253 \n", "3 0.000548 0.000379 \n", "4 0.000047 0.000391 \n", "... ... ... \n", "3319 0.000606 0.000168 \n", "3320 0.000003 0.000169 \n", "3321 0.000198 0.000163 \n", "3322 0.000100 0.000152 \n", "3323 0.000190 0.000163 \n", "\n", " Quality.SPHERE_FITTED_CURVATURE_KILO_VOXEL \n", "0 0.000019 \n", "1 0.000019 \n", "2 0.000019 \n", "3 0.000019 \n", "4 0.000019 \n", "... ... \n", "3319 0.000019 \n", "3320 0.000019 \n", "3321 0.000019 \n", "3322 0.000019 \n", "3323 0.000019 \n", "\n", "[3324 rows x 6 columns]\n", "As there are no 0 in the annotated classes, the minimum is subtracted\n", "annotated classes [0. 0. 0. ... 0. 0. 0.]\n", "RFC predictions finished. [2. 2. 3. ... 3. 2. 3.]\n" ] } ], "source": [ "from napari_accelerated_pixel_and_object_classification._surface_vertex_classifier import SurfaceVertexClassifierWidget\n", "viewer.window.add_dock_widget(SurfaceVertexClassifierWidget(viewer))" ] }, { "cell_type": "markdown", "id": "7c279bfe-8eee-4885-90f4-f4a39b0101cb", "metadata": {}, "source": [ "# Train classifier\n", "Next, we can use the Surface Vertex Classification widget to train a classifier." ] }, { "cell_type": "code", "execution_count": 16, "id": "a045faa1-10b8-42eb-bb44-1b14ff905f13", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/html": [ "\"\"" ], "text/plain": [ "" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "napari.utils.nbscreenshot(viewer)" ] }, { "cell_type": "markdown", "id": "608df7c4-02e3-4c44-9815-dfb3ff8c2ad4", "metadata": {}, "source": [ "## Apply classifier\n", "\n", "The classifier is an [apoc](https://github.com/haesleinhuepf/apoc) TableRowClassifier, which can be applied to the table/DataFrame above." ] }, { "cell_type": "code", "execution_count": 17, "id": "c0dab42f-4b75-4687-96a6-42a08509b42e", "metadata": {}, "outputs": [], "source": [ "table_row_classifier = apoc.TableRowClassifier(opencl_filename='table_row_classifier.cl')" ] }, { "cell_type": "code", "execution_count": 18, "id": "7f31c331-076d-44e2-9748-97329e0e7083", "metadata": {}, "outputs": [], "source": [ "result = table_row_classifier.predict(df)" ] }, { "cell_type": "code", "execution_count": 19, "id": "30b49237-5645-4cd1-974a-879e659613e4", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([1, 1, 2, ..., 2, 1, 2], dtype=uint32)" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "result" ] }, { "cell_type": "code", "execution_count": 20, "id": "54f4a651-ed74-442d-9de4-f35b4d654351", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
vertex_indexQuality.AREAQuality.ASPECT_RATIOQuality.GAUSS_CURVATUREQuality.MEAN_CURVATUREQuality.SPHERE_FITTED_CURVATURE_HECTA_VOXELQuality.SPHERE_FITTED_CURVATURE_KILO_VOXEL_CLUSTER_IDclassification
0029.9973891.6004000.0302870.0004900.0002570.0000192.01
1146.0870461.6021830.0111360.0000180.0002500.0000192.01
2235.8863381.4005990.0126330.0001420.0002530.0000193.02
3322.8872961.7519320.0369790.0005480.0003790.0000193.02
4429.9523471.2208820.0102770.0000470.0003910.0000193.02
..............................
3319331925.0796611.3408020.0318780.0006060.0001680.0000193.02
3320332047.2139161.2549240.0046150.0000030.0001690.0000192.01
3321332135.9647071.1402670.0156610.0001980.0001630.0000193.02
3322332245.6735291.1895620.0113800.0001000.0001520.0000192.01
3323332330.1055301.1512300.0143960.0001900.0001630.0000193.02
\n", "

3324 rows × 9 columns

\n", "
" ], "text/plain": [ " vertex_index Quality.AREA Quality.ASPECT_RATIO \\\n", "0 0 29.997389 1.600400 \n", "1 1 46.087046 1.602183 \n", "2 2 35.886338 1.400599 \n", "3 3 22.887296 1.751932 \n", "4 4 29.952347 1.220882 \n", "... ... ... ... \n", "3319 3319 25.079661 1.340802 \n", "3320 3320 47.213916 1.254924 \n", "3321 3321 35.964707 1.140267 \n", "3322 3322 45.673529 1.189562 \n", "3323 3323 30.105530 1.151230 \n", "\n", " Quality.GAUSS_CURVATURE Quality.MEAN_CURVATURE \\\n", "0 0.030287 0.000490 \n", "1 0.011136 0.000018 \n", "2 0.012633 0.000142 \n", "3 0.036979 0.000548 \n", "4 0.010277 0.000047 \n", "... ... ... \n", "3319 0.031878 0.000606 \n", "3320 0.004615 0.000003 \n", "3321 0.015661 0.000198 \n", "3322 0.011380 0.000100 \n", "3323 0.014396 0.000190 \n", "\n", " Quality.SPHERE_FITTED_CURVATURE_HECTA_VOXEL \\\n", "0 0.000257 \n", "1 0.000250 \n", "2 0.000253 \n", "3 0.000379 \n", "4 0.000391 \n", "... ... \n", "3319 0.000168 \n", "3320 0.000169 \n", "3321 0.000163 \n", "3322 0.000152 \n", "3323 0.000163 \n", "\n", " Quality.SPHERE_FITTED_CURVATURE_KILO_VOXEL _CLUSTER_ID classification \n", "0 0.000019 2.0 1 \n", "1 0.000019 2.0 1 \n", "2 0.000019 3.0 2 \n", "3 0.000019 3.0 2 \n", "4 0.000019 3.0 2 \n", "... ... ... ... \n", "3319 0.000019 3.0 2 \n", "3320 0.000019 2.0 1 \n", "3321 0.000019 3.0 2 \n", "3322 0.000019 2.0 1 \n", "3323 0.000019 3.0 2 \n", "\n", "[3324 rows x 9 columns]" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['classification'] = result\n", "df" ] }, { "cell_type": "code", "execution_count": 22, "id": "dfd0c0ae-1fc2-4172-9466-59d914d5ad84", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "
\n", "\n", "\n", "nppas.SurfaceTuple
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
origin (z/y/x)[0. 0. 0.]
center of mass(z/y/x)57.561,308.175,440.144
scale(z/y/x)1.000,1.000,1.000
bounds (z/y/x)13.983...112.865
110.951...460.844
168.949...807.707
average size171.204
number of vertices3324
number of faces6643
min1
max2
\n", "\n", "
" ], "text/plain": [ "(array([[ 14.174363, 220.40599 , 224.08286 ],\n", " [ 13.983076, 208.15877 , 220.32153 ],\n", " [ 14.819012, 219.06023 , 229.4558 ],\n", " ...,\n", " [112.18208 , 356.98364 , 430.36832 ],\n", " [112.3784 , 360.45856 , 421.8425 ],\n", " [112.865425, 352.2561 , 422.1735 ]], dtype=float32),\n", " array([[ 0, 1, 2],\n", " [ 3, 4, 5],\n", " [ 6, 4, 7],\n", " ...,\n", " [3318, 3317, 3316],\n", " [3316, 3323, 3318],\n", " [3318, 3323, 3319]], dtype=int64),\n", " array([1, 1, 2, ..., 2, 1, 2], dtype=uint32))" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "annotated_surface = nppas.set_vertex_values(surface, result)\n", "annotated_surface.azimuth = -135\n", "annotated_surface" ] }, { "cell_type": "code", "execution_count": null, "id": "3f46cecd-d406-4b73-85df-3408b0fb0203", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.15" }, "vscode": { "interpreter": { "hash": "e770ebac1bd09b9f7f7da44cd6b02a1a52ef6bf964089ac1f52d9ca5d06ddcbf" } } }, "nbformat": 4, "nbformat_minor": 5 }