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1a8fa007520eaf08a0ff2aa23436817a
mooc-rr
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9532bfc0
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9532bfc0
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Aug 17, 2020
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1a8fa007520eaf08a0ff2aa23436817a
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module2/exo4/exercice.ipynb
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9532bfc0
{
"cells": [],
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Exploration of 3D Indoor Scenes Datasets"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Install panda3d and ursina engines that may be useful for exploration then."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"hideCode": true,
"hideOutput": true,
"hidePrompt": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING: pip is being invoked by an old script wrapper. This will fail in a future version of pip.\n",
"Please see https://github.com/pypa/pip/issues/5599 for advice on fixing the underlying issue.\n",
"To avoid this problem you can invoke Python with '-m pip' instead of running pip directly.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: panda3d in /opt/conda/lib/python3.6/site-packages (1.10.6.post2)\n",
"Requirement already satisfied: ursina in /opt/conda/lib/python3.6/site-packages (3.0.0)\n",
"Requirement already satisfied: panda3d in /opt/conda/lib/python3.6/site-packages (from ursina) (1.10.6.post2)\n",
"Requirement already satisfied: pillow in /opt/conda/lib/python3.6/site-packages (from ursina) (7.0.0)\n",
"Requirement already satisfied: screeninfo in /opt/conda/lib/python3.6/site-packages (from ursina) (0.6.5)\n",
"Requirement already satisfied: dataclasses in /opt/conda/lib/python3.6/site-packages (from screeninfo->ursina) (0.7)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING: pip is being invoked by an old script wrapper. This will fail in a future version of pip.\n",
"Please see https://github.com/pypa/pip/issues/5599 for advice on fixing the underlying issue.\n",
"To avoid this problem you can invoke Python with '-m pip' instead of running pip directly.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: ipyvolume in /opt/conda/lib/python3.6/site-packages (0.5.2)\n",
"Requirement already satisfied: traittypes in /opt/conda/lib/python3.6/site-packages (from ipyvolume) (0.2.1)\n",
"Requirement already satisfied: Pillow in /opt/conda/lib/python3.6/site-packages (from ipyvolume) (7.0.0)\n",
"Requirement already satisfied: traitlets in /opt/conda/lib/python3.6/site-packages (from ipyvolume) (4.3.3)\n",
"Requirement already satisfied: pythreejs>=1.0.0 in /opt/conda/lib/python3.6/site-packages (from ipyvolume) (2.2.0)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING: pip is being invoked by an old script wrapper. This will fail in a future version of pip.\n",
"Please see https://github.com/pypa/pip/issues/5599 for advice on fixing the underlying issue.\n",
"To avoid this problem you can invoke Python with '-m pip' instead of running pip directly.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: ipywebrtc in /opt/conda/lib/python3.6/site-packages (from ipyvolume) (0.5.0)\n",
"Requirement already satisfied: requests in /opt/conda/lib/python3.6/site-packages (from ipyvolume) (2.23.0)\n",
"Requirement already satisfied: numpy in /opt/conda/lib/python3.6/site-packages (from ipyvolume) (1.15.2)\n",
"Requirement already satisfied: ipywidgets>=7.5 in /opt/conda/lib/python3.6/site-packages (from ipyvolume) (7.5.1)\n",
"Requirement already satisfied: ipython-genutils in /opt/conda/lib/python3.6/site-packages (from traitlets->ipyvolume) (0.2.0)\n",
"Requirement already satisfied: decorator in /opt/conda/lib/python3.6/site-packages (from traitlets->ipyvolume) (4.4.1)\n",
"Requirement already satisfied: six in /opt/conda/lib/python3.6/site-packages (from traitlets->ipyvolume) (1.14.0)\n",
"Requirement already satisfied: ipydatawidgets>=1.1.1 in /opt/conda/lib/python3.6/site-packages (from pythreejs>=1.0.0->ipyvolume) (4.0.1)\n",
"Requirement already satisfied: idna<3,>=2.5 in /opt/conda/lib/python3.6/site-packages (from requests->ipyvolume) (2.9)\n",
"Requirement already satisfied: chardet<4,>=3.0.2 in /opt/conda/lib/python3.6/site-packages (from requests->ipyvolume) (3.0.4)\n",
"Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /opt/conda/lib/python3.6/site-packages (from requests->ipyvolume) (1.25.7)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.6/site-packages (from requests->ipyvolume) (2020.4.5.1)\n",
"Requirement already satisfied: ipython>=4.0.0; python_version >= \"3.3\" in /opt/conda/lib/python3.6/site-packages (from ipywidgets>=7.5->ipyvolume) (7.12.0)\n",
"Requirement already satisfied: widgetsnbextension~=3.5.0 in /opt/conda/lib/python3.6/site-packages (from ipywidgets>=7.5->ipyvolume) (3.5.1)\n",
"Requirement already satisfied: nbformat>=4.2.0 in /opt/conda/lib/python3.6/site-packages (from ipywidgets>=7.5->ipyvolume) (5.0.4)\n",
"Requirement already satisfied: ipykernel>=4.5.1 in /opt/conda/lib/python3.6/site-packages (from ipywidgets>=7.5->ipyvolume) (5.1.4)\n",
"Requirement already satisfied: backcall in /opt/conda/lib/python3.6/site-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets>=7.5->ipyvolume) (0.1.0)\n",
"Requirement already satisfied: pexpect; sys_platform != \"win32\" in /opt/conda/lib/python3.6/site-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets>=7.5->ipyvolume) (4.8.0)\n",
"Requirement already satisfied: setuptools>=18.5 in /opt/conda/lib/python3.6/site-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets>=7.5->ipyvolume) (45.2.0.post20200209)\n",
"Requirement already satisfied: jedi>=0.10 in /opt/conda/lib/python3.6/site-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets>=7.5->ipyvolume) (0.16.0)\n",
"Requirement already satisfied: pygments in /opt/conda/lib/python3.6/site-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets>=7.5->ipyvolume) (2.5.2)\n",
"Requirement already satisfied: pickleshare in /opt/conda/lib/python3.6/site-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets>=7.5->ipyvolume) (0.7.5)\n",
"Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /opt/conda/lib/python3.6/site-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets>=7.5->ipyvolume) (3.0.3)\n",
"Requirement already satisfied: notebook>=4.4.1 in /opt/conda/lib/python3.6/site-packages (from widgetsnbextension~=3.5.0->ipywidgets>=7.5->ipyvolume) (6.0.3)\n",
"Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /opt/conda/lib/python3.6/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->ipyvolume) (3.0.2)\n",
"Requirement already satisfied: jupyter-core in /opt/conda/lib/python3.6/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->ipyvolume) (4.6.3)\n",
"Requirement already satisfied: jupyter-client in /opt/conda/lib/python3.6/site-packages (from ipykernel>=4.5.1->ipywidgets>=7.5->ipyvolume) (6.0.0)\n",
"Requirement already satisfied: tornado>=4.2 in /opt/conda/lib/python3.6/site-packages (from ipykernel>=4.5.1->ipywidgets>=7.5->ipyvolume) (6.0.3)\n",
"Requirement already satisfied: ptyprocess>=0.5 in /opt/conda/lib/python3.6/site-packages (from pexpect; sys_platform != \"win32\"->ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets>=7.5->ipyvolume) (0.6.0)\n",
"Requirement already satisfied: parso>=0.5.2 in /opt/conda/lib/python3.6/site-packages (from jedi>=0.10->ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets>=7.5->ipyvolume) (0.6.0)\n",
"Requirement already satisfied: wcwidth in /opt/conda/lib/python3.6/site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets>=7.5->ipyvolume) (0.1.8)\n",
"Requirement already satisfied: nbconvert in /opt/conda/lib/python3.6/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->ipyvolume) (5.6.1)\n",
"Requirement already satisfied: terminado>=0.8.1 in /opt/conda/lib/python3.6/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->ipyvolume) (0.8.3)\n",
"Requirement already satisfied: Send2Trash in /opt/conda/lib/python3.6/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->ipyvolume) (1.5.0)\n",
"Requirement already satisfied: prometheus-client in /opt/conda/lib/python3.6/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->ipyvolume) (0.7.1)\n",
"Requirement already satisfied: jinja2 in /opt/conda/lib/python3.6/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->ipyvolume) (2.11.0)\n",
"Requirement already satisfied: pyzmq>=17 in /opt/conda/lib/python3.6/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->ipyvolume) (17.1.2)\n",
"Requirement already satisfied: pyrsistent>=0.14.0 in /opt/conda/lib/python3.6/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.5->ipyvolume) (0.15.7)\n",
"Requirement already satisfied: attrs>=17.4.0 in /opt/conda/lib/python3.6/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.5->ipyvolume) (19.3.0)\n",
"Requirement already satisfied: python-dateutil>=2.1 in /opt/conda/lib/python3.6/site-packages (from jupyter-client->ipykernel>=4.5.1->ipywidgets>=7.5->ipyvolume) (2.8.1)\n",
"Requirement already satisfied: bleach in /opt/conda/lib/python3.6/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->ipyvolume) (3.1.0)\n",
"Requirement already satisfied: pandocfilters>=1.4.1 in /opt/conda/lib/python3.6/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->ipyvolume) (1.4.2)\n",
"Requirement already satisfied: testpath in /opt/conda/lib/python3.6/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->ipyvolume) (0.4.4)\n",
"Requirement already satisfied: entrypoints>=0.2.2 in /opt/conda/lib/python3.6/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->ipyvolume) (0.3)\n",
"Requirement already satisfied: mistune<2,>=0.8.1 in /opt/conda/lib/python3.6/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->ipyvolume) (0.8.4)\n",
"Requirement already satisfied: defusedxml in /opt/conda/lib/python3.6/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->ipyvolume) (0.6.0)\n",
"Requirement already satisfied: MarkupSafe>=0.23 in /opt/conda/lib/python3.6/site-packages (from jinja2->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->ipyvolume) (1.1.1)\n",
"Requirement already satisfied: webencodings in /opt/conda/lib/python3.6/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->ipyvolume) (0.5.1)\n"
]
}
],
"source": [
"import pip\n",
"\n",
"def install(package):\n",
" if hasattr(pip, 'main'):\n",
" pip.main(['install', package])\n",
" else:\n",
" pip._internal.main(['install', package])\n",
"\n",
"# Example\n",
"if __name__ == '__main__':\n",
" install('panda3d')\n",
" install('ursina')\n",
" install('ipyvolume')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Explore SceneNN scene"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Copy minimalist scene data as string \"sample_scene_data\""
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"hideCode": true,
"hideOutput": true,
"hidePrompt": false
},
"outputs": [],
"source": [
"sample_scene_data = \"\"\"\n",
"<annotation>\n",
"<label id=\"716508\" color=\"21 156 162\" text=\"\" nyu_class=\"wall\" note=\"\" area=\"492477\" obbox=\"-1.2153 -2.52873 -1.90061 4.76056 2.89713 3.58827 0.999386 0.0115122 0.0173149 0.02819\" aabbox=\"-1.19997 -0.368718 -1.66073 3.51822 2.43698 1.86119\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"610041\" color=\"195 224 75\" text=\"bed\" nyu_class=\"bed\" note=\"\" area=\"102761\" obbox=\"-3.50479 -0.426385 -2.06167 2.06291 0.960066 2.20247 -0.0810007 0.994989 0.0119277 -0.0573923\" aabbox=\"1.4847 -0.026236 -0.366322 3.44424 0.944559 1.77088\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"1225831\" color=\"249 129 6\" text=\"\" nyu_class=\"ceiling\" note=\"\" area=\"96877\" obbox=\"-1.19888 -2.97872 -2.58469 4.99551 4.60788 0.356852 0.670045 -0.219774 0.207024 0.678145\" aabbox=\"-1.12824 2.14973 -1.58214 3.4982 2.53253 1.78882\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"1147215\" color=\"244 244 249\" text=\"\" nyu_class=\"floor\" note=\"\" area=\"96683\" obbox=\"-1.21611 -1.95635 -0.0135906 4.36763 3.6213 0.109561 -0.701503 0.0592213 0.0578258 0.707843\" aabbox=\"-1.18172 -0.0148826 -1.62239 3.08783 0.0916746 1.73871\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"945706\" color=\"73 37 200\" text=\"desk\" nyu_class=\"desk\" note=\"\" area=\"46550\" obbox=\"0.433998 -1.92378 0.200774 1.54612 1.08484 1.11174 0.903985 -0.0295835 0.106714 0.412974\" aabbox=\"0.793233 0.000666074 -1.67159 2.22977 0.89808 -0.897861\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"112312\" color=\"205 250 112\" text=\"bookshelves\" nyu_class=\"bookshelf\" note=\"\" area=\"44260\" obbox=\"-3.13549 -2.14491 -1.58506 0.805445 2.35424 0.367626 0.00860956 0.00768887 0.999114 -0.040475\" aabbox=\"2.26295 0.00776958 -1.63102 2.96968 2.32645 -1.28244\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"509238\" color=\"240 88 86\" text=\"\" nyu_class=\"window\" note=\"\" area=\"30659\" obbox=\"3.31683 -1.9219 -1.62524 0.257323 1.81625 1.70163 0.966861 -0.00627041 0.00169075 0.255222\" aabbox=\"3.31804 0.637477 -0.81079 3.5944 2.0335 1.05564\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"1018438\" color=\"153 91 119\" text=\"door\" nyu_class=\"door\" note=\"\" area=\"29810\" obbox=\"-0.524413 0.587086 0.041244 0.112742 0.908328 2.09828 -0.723012 0.0159893 0.00212563 0.690647\" aabbox=\"-0.525057 0.0159803 -1.53018 -0.387286 2.089 -0.671425\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"1547362\" color=\"241 196 116\" text=\"door\" nyu_class=\"door\" note=\"\" area=\"24116\" obbox=\"-0.455754 -1.9828 -1.56333 0.398563 1.99567 0.793137 0.999961 -0.00881669 0.000125775 0.000111981\" aabbox=\"-0.449669 -0.00494763 0.76979 -0.0263047 1.98988 1.56283\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"1411977\" color=\"95 228 26\" text=\"desk\" nyu_class=\"desk\" note=\"\" area=\"23469\" obbox=\"0.143538 -1.51997 -1.52774 1.22119 1.09176 0.711286 0.979658 -0.140417 0.0434799 -0.136609\" aabbox=\"0.290531 -0.00133602 1.18812 1.367 0.766986 1.73901\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"1348911\" color=\"36 242 138\" text=\"door\" nyu_class=\"door\" note=\"\" area=\"22165\" obbox=\"-1.18264 -0.520413 -1.99661 0.0657778 0.968725 2.03446 0.743018 -0.00674836 -0.0125174 0.669121\" aabbox=\"-1.18244 0.00967989 -0.376451 -1.06716 1.99092 0.521161\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"1495681\" color=\"56 190 211\" text=\"chair\" nyu_class=\"chair\" note=\"\" area=\"21440\" obbox=\"0.331836 -0.733711 -1.28253 0.694655 1.24823 0.808719 0.972684 -0.00420024 -0.0217461 0.231075\" aabbox=\"0.382699 -0.00194225 0.415045 1.06383 1.05044 1.15705\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"884857\" color=\"174 76 53\" text=\"chair\" nyu_class=\"chair\" note=\"\" area=\"20714\" obbox=\"0.938741 -0.755513 0.433967 0.687472 1.26525 0.743552 0.967048 -0.0249017 0.00309352 -0.253353\" aabbox=\"0.935017 -0.0100944 -1.16383 1.65451 1.05093 -0.420796\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"1414622\" color=\"244 76 17\" text=\"desk shelves\" nyu_class=\"shelves\" note=\"\" area=\"18628\" obbox=\"0.162307 0.813237 1.23599 1.11841 0.791626 0.461201 0.035237 0.00883783 -0.0339176 0.998764\" aabbox=\"0.286016 0.684933 1.26976 1.37446 1.46033 1.74382\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"1513254\" color=\"139 41 45\" text=\"cabinet\" nyu_class=\"cabinet\" note=\"\" area=\"17790\" obbox=\"0.180176 1.01383 0.111365 0.527078 0.619254 0.793637 0.122124 0.655473 0.72099 -0.188716\" aabbox=\"-0.107905 -0.00569803 1.18571 0.325698 0.746389 1.72018\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"756379\" color=\"216 148 91\" text=\"\" nyu_class=\"ceiling\" note=\"\" area=\"17310\" obbox=\"-0.12808 -1.64648 2.40257 1.23686 1.52841 0.0249782 -0.148288 0.689079 0.688279 0.171621\" aabbox=\"-0.385228 2.39886 -1.58122 0.653283 2.4389 -0.215809\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"1174499\" color=\"210 171 73\" text=\"\" nyu_class=\"ceiling\" note=\"\" area=\"16513\" obbox=\"1.37205 1.2748 -2.72319 1.88765 0.657095 0.219663 0.725618 0.0213886 -0.0396262 0.686623\" aabbox=\"1.58941 2.3356 1.14904 3.44314 2.56243 1.79068\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"370839\" color=\"85 110 41\" text=\"\" nyu_class=\"ceiling\" note=\"\" area=\"16153\" obbox=\"2.31681 -1.52526 2.33822 1.243 1.79123 0.197457 -0.716919 -0.0329235 -0.0489073 0.694659\" aabbox=\"2.25173 2.31194 0.0536749 3.44493 2.51727 1.78908\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"1717134\" color=\"84 102 188\" text=\"\" nyu_class=\"floor\" note=\"\" area=\"11672\" obbox=\"-0.814733 -1.16247 -0.100418 1.21623 0.88661 0.137053 -0.644427 -0.334653 -0.256172 0.638041\" aabbox=\"-1.03127 -0.144073 -0.262451 -0.231867 -0.0262013 0.838649\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"233401\" color=\"58 1 47\" text=\"\" nyu_class=\"chair\" note=\"\" area=\"11412\" obbox=\"-3.30872 -0.717529 0.165642 0.618783 0.895319 0.712402 -0.15072 0.973755 -0.169974 -0.0139273\" aabbox=\"2.67316 0.00794199 -0.944999 3.25429 0.86432 -0.253469\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"940017\" color=\"17 15 47\" text=\"guitar\" nyu_class=\"prop\" note=\"\" area=\"10846\" obbox=\"-0.126622 1.12239 -1.48365 0.80111 0.337784 1.10228 -0.178139 -0.59296 0.779758 -0.0929644\" aabbox=\"-0.0010249 0.0233582 -1.63019 0.714161 1.08931 -1.19816\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"300780\" color=\"196 11 210\" text=\"basket\" nyu_class=\"box\" note=\"\" area=\"9942\" obbox=\"-3.05085 -0.46489 0.153093 0.533257 0.400506 0.510179 -0.0974054 0.989937 -0.0491926 -0.0900959\" aabbox=\"2.42092 -0.0107962 -1.12999 2.93556 0.375412 -0.651919\" local_pose=\"1 0 0 0\"/>\n",
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"<label id=\"1433655\" color=\"9 197 112\" text=\"\" nyu_class=\"unknown\" note=\"\" area=\"45\" obbox=\"1.72989 0.35771 -1.21771 0.0707225 0.0512941 0.0182074 0.745229 -0.270313 0.177967 0.583003\" aabbox=\"1.18156 0.742469 1.61484 1.24487 0.765319 1.66936\" local_pose=\"1 0 0 0\"/>\n",
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"<label id=\"1441037\" color=\"223 121 124\" text=\"\" nyu_class=\"unknown\" note=\"\" area=\"25\" obbox=\"-0.939547 -1.59363 1.24878 0.0377453 0.0160791 0.065787 -0.0424805 -0.124282 0.970384 0.202742\" aabbox=\"1.25653 0.739344 1.64349 1.29452 0.763105 1.71116\" local_pose=\"1 0 0 0\"/>\n",
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"<label id=\"205529\" color=\"99 1 245\" text=\"\" nyu_class=\"unknown\" note=\"\" area=\"15\" obbox=\"-2.42498 0.0744714 0.644016 0.0416222 0.0631295 0.000384152 0.152833 0.68906 0.686278 -0.175675\" aabbox=\"2.13901 0.717408 -1.01905 2.17884 0.718943 -0.956519\" local_pose=\"1 0 0 0\"/>\n",
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"<label id=\"1508085\" color=\"134 201 211\" text=\"\" nyu_class=\"unknown\" note=\"\" area=\"11\" obbox=\"0.977633 1.6765 -1.27086 0.0784041 0.00379109 0.000693917 0.738223 0.659308 0.114598 0.0848912\" aabbox=\"1.34742 0.742659 1.7393 1.35462 0.820753 1.74355\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"934130\" color=\"150 163 193\" text=\"\" nyu_class=\"unknown\" note=\"\" area=\"9\" obbox=\"1.36541 -1.64246 -0.942351 0.0588069 0.0152383 0.00577253 0.676453 -0.10069 0.059913 0.727106\" aabbox=\"1.75629 0.735526 -1.34602 1.81215 0.742595 -1.32472\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"177986\" color=\"209 54 93\" text=\"\" nyu_class=\"unknown\" note=\"\" area=\"8\" obbox=\"-1.13499 -2.13449 -0.688197 0.0548114 4.76837e-007 0.00048542 -0.490943 0.513427 -0.513352 -0.481495\" aabbox=\"2.18325 0.717788 -1.01085 2.18622 0.718468 -0.956122\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"1438825\" color=\"227 28 148\" text=\"\" nyu_class=\"unknown\" note=\"\" area=\"8\" obbox=\"0.813457 1.06442 1.69645 0.0998177 0.0178033 0.0121372 0.452584 0.376899 0.752188 -0.295513\" aabbox=\"1.24205 0.746323 1.57493 1.28589 0.762141 1.66746\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"1413673\" color=\"59 198 224\" text=\"\" nyu_class=\"unknown\" note=\"\" area=\"7\" obbox=\"0.826593 -1.29895 0.855426 0.0156054 0.0156358 0.00047487 -0.680508 -0.0181061 -0.0202666 0.732236\" aabbox=\"0.755735 0.754152 1.3853 0.77173 0.755343 1.40129\" local_pose=\"1 0 0 0\"/>\n",
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"<label id=\"1453532\" color=\"245 37 151\" text=\"\" nyu_class=\"unknown\" note=\"\" area=\"7\" obbox=\"-0.0177979 1.39604 1.19334 0.0232349 0.0182148 0.00350118 0.147187 -0.0374917 -0.325795 0.93316\" aabbox=\"0.629605 0.743228 1.55807 0.645561 0.761635 1.56468\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"199695\" color=\"110 170 171\" text=\"\" nyu_class=\"unknown\" note=\"\" area=\"5\" obbox=\"2.14222 -1.10033 -0.692294 2.38419e-007 0.0313572 0.000607789 0.708404 -0.0160016 0.0224325 0.705269\" aabbox=\"2.19066 0.71587 -0.979362 2.19236 0.716515 -0.948052\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"1407808\" color=\"161 250 79\" text=\"\" nyu_class=\"unknown\" note=\"\" area=\"2\" obbox=\"-0.278743 -1.11872 -1.24543 0 0.00819063 0 0.0195474 0.827827 -0.560487 0.0132347\" aabbox=\"0.22563 0.736499 1.50469 0.226016 0.739537 1.51228\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"1438268\" color=\"30 162 66\" text=\"\" nyu_class=\"unknown\" note=\"\" area=\"1\" obbox=\"0.645596 0.746367 1.55796 0 0 0 0 0 0 1\" aabbox=\"0.645596 0.746367 1.55796 0.645596 0.746367 1.55796\" local_pose=\"1 0 0 0\"/>\n",
"<label id=\"1473953\" color=\"88 228 147\" text=\"\" nyu_class=\"unknown\" note=\"\" area=\"1\" obbox=\"1.09214 0.747008 1.63023 0 0 0 0 0 0 1\" aabbox=\"1.09214 0.747008 1.63023 1.09214 0.747008 1.63023\" local_pose=\"1 0 0 0\"/>\n",
"</annotation>\n",
"\"\"\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Load scene data as xml tree element"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"from xml.etree import ElementTree\n",
"scene_root = ElementTree.fromstring(sample_scene_data)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"from mpl_toolkits.mplot3d import Axes3D, axes3d\n",
"fig = plt.figure()\n",
"ax = fig.add_subplot(111, projection='3d')\n",
"X, Y, Z = axes3d.get_test_data(1.)\n",
"ax.plot_wireframe(X, Y, Z) #, rstride=10, cstride=10)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"celltoolbar": "Hide code",
"kernelspec": {
"display_name": "Python 3",
"language": "python",
...
...
@@ -16,10 +474,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.
3
"
"version": "3.6.
4
"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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