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"# Scene Part Swap: Repeated Surveys over Several Scene States\n",
"\n",
"Notebook: Hannah Weiser, 2024\n",
"\n",
"This notebook demonstrates how to use the [scene swap feature]() in HELIOS++ both for a terrestrial laser scanning (TLS) and UAV-based laser scanning (ULS) example.\n",
"In the HELIOS++ scene XML, swaps can be defined for each scene part, resulting in a sequence of different scene states. HELIOS++ will automatically repeat the survey for each scene state.\n",
"\n",
"We will use the command-line access of HELIOS++ to run the simulation, and use Python just for displaying the input XMLs and the resulting point clouds."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from pathlib import Path\n",
"from IPython.display import Code\n",
"from pyhelios.util.xmldisplayer import display_xml, find_playback_dir\n",
"import laspy\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib as mpl"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"os.chdir(\"..\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# TLS \n",
"\n",
"## Survey\n",
"\n",
"The survey consists of two flight lines from a height of 400 m, placed 200 m apart. The scanner is a Leica ALS-50."
]
},
{
"cell_type": "code",
"execution_count": 3,
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".output_html .il { color: #666666 } /* Literal.Number.Integer.Long */</style><div class=\"highlight\"><pre><span></span><span class=\"nt\"><document></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"><survey</span><span class=\"w\"> </span><span class=\"na\">name=</span><span class=\"s\">"dyn_geom_swap_als"</span><span class=\"w\"> </span><span class=\"na\">scene=</span><span class=\"s\">"data/scenes/dyn/dyn_geom_swap_scene.xml#dyn_geom_swap_scene"</span><span class=\"w\"> </span><span class=\"na\">platform=</span><span class=\"s\">"data/platforms.xml#sr22"</span><span class=\"w\"> </span><span class=\"na\">scanner=</span><span class=\"s\">"data/scanners_als.xml#leica_als50"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t</span><span class=\"nt\"><leg></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"><platformSettings</span><span class=\"w\"> </span><span class=\"na\">x=</span><span class=\"s\">"100"</span><span class=\"w\"> </span><span class=\"na\">y=</span><span class=\"s\">"100.0"</span><span class=\"w\"> </span><span class=\"na\">z=</span><span class=\"s\">"400"</span><span class=\"w\"> </span><span class=\"na\">onGround=</span><span class=\"s\">"false"</span><span class=\"w\"> </span><span class=\"na\">movePerSec_m=</span><span class=\"s\">"5"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
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"<span class=\"w\"> </span><span class=\"nt\"><platformSettings</span><span class=\"w\"> </span><span class=\"na\">x=</span><span class=\"s\">"-100"</span><span class=\"w\"> </span><span class=\"na\">y=</span><span class=\"s\">"-100.0"</span><span class=\"w\"> </span><span class=\"na\">z=</span><span class=\"s\">"400"</span><span class=\"w\"> </span><span class=\"na\">onGround=</span><span class=\"s\">"false"</span><span class=\"w\"> </span><span class=\"na\">movePerSec_m=</span><span class=\"s\">"5"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"><scannerSettings</span><span class=\"w\"> </span><span class=\"na\">active=</span><span class=\"s\">"false"</span><span class=\"w\"> </span><span class=\"na\">pulseFreq_hz=</span><span class=\"s\">"83000"</span><span class=\"w\"> </span><span class=\"na\">scanFreq_hz=</span><span class=\"s\">"70"</span><span class=\"w\"> </span><span class=\"na\">scanAngle_deg=</span><span class=\"s\">"60"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"></leg></span>\n",
"<span class=\"w\">\t\t</span><span class=\"nt\"><leg></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"><platformSettings</span><span class=\"w\"> </span><span class=\"na\">x=</span><span class=\"s\">"-100"</span><span class=\"w\"> </span><span class=\"na\">y=</span><span class=\"s\">"100.0"</span><span class=\"w\"> </span><span class=\"na\">z=</span><span class=\"s\">"400"</span><span class=\"w\"> </span><span class=\"na\">onGround=</span><span class=\"s\">"false"</span><span class=\"w\"> </span><span class=\"na\">movePerSec_m=</span><span class=\"s\">"5"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"><scannerSettings</span><span class=\"w\"> </span><span class=\"na\">active=</span><span class=\"s\">"true"</span><span class=\"w\"> </span><span class=\"na\">pulseFreq_hz=</span><span class=\"s\">"83000"</span><span class=\"w\"> </span><span class=\"na\">scanFreq_hz=</span><span class=\"s\">"70"</span><span class=\"w\"> </span><span class=\"na\">scanAngle_deg=</span><span class=\"s\">"60"</span><span class=\"w\"> </span><span class=\"na\">trajectoryTimeInterval_s=</span><span class=\"s\">"0.01"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"></leg></span>\n",
"<span class=\"w\">\t\t</span><span class=\"nt\"><leg></span>\n",
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"<span class=\"w\"> </span><span class=\"nt\"><scannerSettings</span><span class=\"w\"> </span><span class=\"na\">active=</span><span class=\"s\">"false"</span><span class=\"w\"> </span><span class=\"na\">pulseFreq_hz=</span><span class=\"s\">"83000"</span><span class=\"w\"> </span><span class=\"na\">scanFreq_hz=</span><span class=\"s\">"70"</span><span class=\"w\"> </span><span class=\"na\">scanAngle_deg=</span><span class=\"s\">"60"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"></leg></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"></survey></span>\n",
"<span class=\"nt\"></document></span>\n",
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}
],
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"Code(display_xml('./data/surveys/dyn/als_dyn_geom_swap.xml'), language='XML')"
]
},
{
"cell_type": "markdown",
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"## Scene\n",
"\n",
"The scene consists of three scene parts and has a total of four swaps.\n",
"Based on the definition, the output of the loops will be as follows:\n",
"\n",
"**Loop 1**:\n",
"1. small cube\n",
"2. sphere\n",
"3. small cube 2\n",
"\n",
"**Loop 2**:\n",
"1. sphere\n",
"2. big cube\n",
"3. mid cube\n",
"\n",
"**Loop 3**:\n",
"1. sphere\n",
"2. nothing\n",
"3. big cube\n",
"\n",
"**Loop 4**:\n",
"1. big cube\n",
"2. nothing\n",
"3. bigger cube\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
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".output_html .il { color: #666666 } /* Literal.Number.Integer.Long */</style><div class=\"highlight\"><pre><span></span><span class=\"nt\"><scene</span><span class=\"w\"> </span><span class=\"na\">id=</span><span class=\"s\">"dyn_geom_swap_scene"</span><span class=\"w\"> </span><span class=\"na\">name=</span><span class=\"s\">"DynGeomSwapScene"</span><span class=\"nt\">></span>\n",
"\n",
"\n",
"<span class=\"w\">\t\t</span><span class=\"cm\"><!-- Ground plane --></span>\n",
"<span class=\"w\">\t\t</span><span class=\"cm\"><!-- ************ --></span>\n",
"<span class=\"w\">\t\t</span><span class=\"nt\"><part</span><span class=\"w\"> </span><span class=\"na\">id=</span><span class=\"s\">"1"</span><span class=\"nt\">></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"objloader"</span><span class=\"nt\">></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"string"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"filepath"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"data/sceneparts/basic/groundplane/groundplane.obj"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"scale"</span><span class=\"nt\">></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"double"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"scale"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"120"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"translate"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"vec3"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"offset"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"50.0;0;0"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"></part></span>\n",
"\n",
"\n",
"\n",
"\n",
"<span class=\"w\">\t\t</span><span class=\"cm\"><!-- Small cube goes sphere for two repetitions then goes big cube --></span>\n",
"<span class=\"w\">\t\t</span><span class=\"cm\"><!-- ************************************************************* --></span>\n",
"<span class=\"w\">\t\t</span><span class=\"nt\"><part</span><span class=\"w\"> </span><span class=\"na\">id=</span><span class=\"s\">"2"</span><span class=\"nt\">></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"objloader"</span><span class=\"nt\">></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"string"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"filepath"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"data/sceneparts/toyblocks/cube.obj"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"rotate"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"rotation"</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"rotation"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t\t</span><span class=\"nt\"><rot</span><span class=\"w\"> </span><span class=\"na\">angle_deg=</span><span class=\"s\">"45"</span><span class=\"w\"> </span><span class=\"na\">axis=</span><span class=\"s\">"z"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"></param></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"scale"</span><span class=\"nt\">></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"double"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"scale"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"0.75"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"translate"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"vec3"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"offset"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"-40.0;-50.0;0"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"cm\"><!-- Swap small cube by sphere --></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"><swap</span><span class=\"w\"> </span><span class=\"na\">swapStep=</span><span class=\"s\">"2"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"objloader"</span><span class=\"nt\">></span>\n",
"<span class=\"w\"> \t</span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"string"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"filepath"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"data/sceneparts/toyblocks/sphere.obj"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t </span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"scale"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t </span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"double"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"scale"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"1.25"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t </span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"translate"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t\t</span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"vec3"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"offset"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"-30.0;-60.0;0"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"></swap></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"cm\"><!-- Swap sphere by big cube --></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"><swap</span><span class=\"w\"> </span><span class=\"na\">swapStep=</span><span class=\"s\">"1"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"objloader"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t </span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"string"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"filepath"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"data/sceneparts/toyblocks/cube.obj"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t </span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"rotate"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t\t</span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"rotation"</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"rotation"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t\t\t</span><span class=\"nt\"><rot</span><span class=\"w\"> </span><span class=\"na\">angle_deg=</span><span class=\"s\">"45"</span><span class=\"w\"> </span><span class=\"na\">axis=</span><span class=\"s\">"z"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t\t\t\t</span><span class=\"nt\"></param></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"scale"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t </span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"double"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"scale"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"1.5"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t </span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"translate"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t\t</span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"vec3"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"offset"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"-20.0;-60.0;0"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"></swap></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"></part></span>\n",
"\n",
"\n",
"\n",
"\n",
"<span class=\"w\">\t\t</span><span class=\"cm\"><!-- Sphere goes cube goes nothing --></span>\n",
"<span class=\"w\">\t\t</span><span class=\"cm\"><!-- ***************************** --></span>\n",
"<span class=\"w\">\t\t</span><span class=\"nt\"><part</span><span class=\"w\"> </span><span class=\"na\">id=</span><span class=\"s\">"3"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"objloader"</span><span class=\"nt\">></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"string"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"filepath"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"data/sceneparts/toyblocks/sphere.obj"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"scale"</span><span class=\"nt\">></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"double"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"scale"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"1.25"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"translate"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"vec3"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"offset"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"-10.0;-20.0;0"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"cm\"><!-- Swap sphere by cube --></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"><swap></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"objloader"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t </span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"string"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"filepath"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"data/sceneparts/toyblocks/cube.obj"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t </span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"scale"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t </span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"double"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"scale"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"2.0"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t </span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"translate"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t\t</span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"vec3"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"offset"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"-40.0;40.0;0"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"></swap></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"cm\"><!-- Swap cube by nothing --></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"><swap</span><span class=\"w\"> </span><span class=\"na\">force_null=</span><span class=\"s\">"true"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"></swap></span>\n",
"<span class=\"w\">\t\t</span><span class=\"nt\"></part></span>\n",
"\n",
"\n",
"\n",
"\n",
"<span class=\"w\">\t\t</span><span class=\"cm\"><!-- Small cube goes mid goes big goes bigger --></span>\n",
"<span class=\"w\">\t\t</span><span class=\"cm\"><!-- **************************************** --></span>\n",
"<span class=\"w\">\t\t</span><span class=\"nt\"><part</span><span class=\"w\"> </span><span class=\"na\">id=</span><span class=\"s\">"4"</span><span class=\"nt\">></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"objloader"</span><span class=\"nt\">></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"string"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"filepath"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"data/sceneparts/toyblocks/cube.obj"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"rotate"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"rotation"</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"rotation"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t\t</span><span class=\"nt\"><rot</span><span class=\"w\"> </span><span class=\"na\">angle_deg=</span><span class=\"s\">"45"</span><span class=\"w\"> </span><span class=\"na\">axis=</span><span class=\"s\">"z"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"></param></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"scale"</span><span class=\"nt\">></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"double"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"scale"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"0.75"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"translate"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"vec3"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"offset"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"-20.0;10.0;0"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"cm\"><!-- Swap small cube by mid cube --></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"><swap</span><span class=\"w\"> </span><span class=\"na\">swapStep=</span><span class=\"s\">"1"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"rotate"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t\t</span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"rotation"</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"rotation"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t\t\t</span><span class=\"nt\"><rot</span><span class=\"w\"> </span><span class=\"na\">angle_deg=</span><span class=\"s\">"45"</span><span class=\"w\"> </span><span class=\"na\">axis=</span><span class=\"s\">"z"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t\t\t\t</span><span class=\"nt\"></param></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"scale"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t </span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"double"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"scale"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"2.0"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t </span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"translate"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t\t</span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"vec3"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"offset"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"-22.0;12.0;0"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"></swap></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"cm\"><!-- Swap mid cube by big cube --></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"><swap</span><span class=\"w\"> </span><span class=\"na\">swapStep=</span><span class=\"s\">"1"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"rotate"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t\t</span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"rotation"</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"rotation"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t\t\t</span><span class=\"nt\"><rot</span><span class=\"w\"> </span><span class=\"na\">angle_deg=</span><span class=\"s\">"45"</span><span class=\"w\"> </span><span class=\"na\">axis=</span><span class=\"s\">"z"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t\t\t\t</span><span class=\"nt\"></param></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"scale"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t </span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"double"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"scale"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"3.0"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t </span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"translate"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t\t</span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"vec3"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"offset"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"-18.0;11.0;0.0"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"></swap></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"cm\"><!-- Swap big cube by bigger cube --></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"><swap</span><span class=\"w\"> </span><span class=\"na\">swapStep=</span><span class=\"s\">"1"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"rotate"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t\t</span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"rotation"</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"rotation"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t\t\t</span><span class=\"nt\"><rot</span><span class=\"w\"> </span><span class=\"na\">angle_deg=</span><span class=\"s\">"45"</span><span class=\"w\"> </span><span class=\"na\">axis=</span><span class=\"s\">"z"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t\t\t\t</span><span class=\"nt\"></param></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"scale"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t </span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"double"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"scale"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"3.5"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t </span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"><filter</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"translate"</span><span class=\"nt\">></span>\n",
"<span class=\"w\">\t\t\t\t\t</span><span class=\"nt\"><param</span><span class=\"w\"> </span><span class=\"na\">type=</span><span class=\"s\">"vec3"</span><span class=\"w\"> </span><span class=\"na\">key=</span><span class=\"s\">"offset"</span><span class=\"w\"> </span><span class=\"na\">value=</span><span class=\"s\">"-42.0;12.0;0.0"</span><span class=\"w\"> </span><span class=\"nt\">/></span>\n",
"<span class=\"w\">\t\t\t\t</span><span class=\"nt\"></filter></span>\n",
"<span class=\"w\">\t\t\t</span><span class=\"nt\"></swap></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"></part></span>\n",
"<span class=\"w\"> </span><span class=\"nt\"></scene></span>\n",
"</pre></div>\n"
],
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"\n",
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"\\end{Verbatim}\n"
],
"text/plain": [
"<scene id=\"dyn_geom_swap_scene\" name=\"DynGeomSwapScene\">\n",
"\n",
"\n",
"\t\t<!-- Ground plane -->\n",
"\t\t<!-- ************ -->\n",
"\t\t<part id=\"1\">\n",
" <filter type=\"objloader\">\n",
" <param type=\"string\" key=\"filepath\" value=\"data/sceneparts/basic/groundplane/groundplane.obj\" />\n",
" </filter>\n",
" <filter type=\"scale\">\n",
" <param type=\"double\" key=\"scale\" value=\"120\" />\n",
" </filter>\n",
"\t\t\t<filter type=\"translate\">\n",
"\t\t\t\t<param type=\"vec3\" key=\"offset\" value=\"50.0;0;0\" />\n",
"\t\t\t</filter>\n",
" </part>\n",
"\n",
"\n",
"\n",
"\n",
"\t\t<!-- Small cube goes sphere for two repetitions then goes big cube -->\n",
"\t\t<!-- ************************************************************* -->\n",
"\t\t<part id=\"2\">\n",
" <filter type=\"objloader\">\n",
" <param type=\"string\" key=\"filepath\" value=\"data/sceneparts/toyblocks/cube.obj\" />\n",
" </filter>\n",
"\t\t\t<filter type=\"rotate\">\n",
"\t\t\t\t<param key=\"rotation\" type=\"rotation\">\n",
"\t\t\t\t\t<rot angle_deg=\"45\" axis=\"z\" />\n",
"\t\t\t\t</param>\n",
"\t\t\t</filter>\n",
"\t\t\t<filter type=\"scale\">\n",
" <param type=\"double\" key=\"scale\" value=\"0.75\" />\n",
" </filter>\n",
"\t\t\t<filter type=\"translate\">\n",
"\t\t\t\t<param type=\"vec3\" key=\"offset\" value=\"-40.0;-50.0;0\" />\n",
"\t\t\t</filter>\n",
"\t\t\t<!-- Swap small cube by sphere -->\n",
"\t\t\t<swap swapStep=\"2\">\n",
"\t\t\t\t<filter type=\"objloader\">\n",
" \t<param type=\"string\" key=\"filepath\" value=\"data/sceneparts/toyblocks/sphere.obj\" />\n",
"\t\t </filter>\n",
"\t\t\t\t<filter type=\"scale\">\n",
"\t\t <param type=\"double\" key=\"scale\" value=\"1.25\" />\n",
"\t\t </filter>\n",
"\t\t\t\t<filter type=\"translate\">\n",
"\t\t\t\t\t<param type=\"vec3\" key=\"offset\" value=\"-30.0;-60.0;0\" />\n",
"\t\t\t\t</filter>\n",
"\t\t\t</swap>\n",
"\t\t\t<!-- Swap sphere by big cube -->\n",
"\t\t\t<swap swapStep=\"1\">\n",
"\t\t\t\t<filter type=\"objloader\">\n",
"\t\t <param type=\"string\" key=\"filepath\" value=\"data/sceneparts/toyblocks/cube.obj\" />\n",
"\t\t </filter>\n",
"\t\t\t\t<filter type=\"rotate\">\n",
"\t\t\t\t\t<param key=\"rotation\" type=\"rotation\">\n",
"\t\t\t\t\t\t<rot angle_deg=\"45\" axis=\"z\" />\n",
"\t\t\t\t\t</param>\n",
"\t\t\t\t</filter>\n",
"\t\t\t\t<filter type=\"scale\">\n",
"\t\t <param type=\"double\" key=\"scale\" value=\"1.5\" />\n",
"\t\t </filter>\n",
"\t\t\t\t<filter type=\"translate\">\n",
"\t\t\t\t\t<param type=\"vec3\" key=\"offset\" value=\"-20.0;-60.0;0\" />\n",
"\t\t\t\t</filter>\n",
"\t\t\t</swap>\n",
" </part>\n",
"\n",
"\n",
"\n",
"\n",
"\t\t<!-- Sphere goes cube goes nothing -->\n",
"\t\t<!-- ***************************** -->\n",
"\t\t<part id=\"3\">\n",
"\t\t\t<filter type=\"objloader\">\n",
" <param type=\"string\" key=\"filepath\" value=\"data/sceneparts/toyblocks/sphere.obj\" />\n",
" </filter>\n",
"\t\t\t<filter type=\"scale\">\n",
" <param type=\"double\" key=\"scale\" value=\"1.25\" />\n",
" </filter>\n",
"\t\t\t<filter type=\"translate\">\n",
"\t\t\t\t<param type=\"vec3\" key=\"offset\" value=\"-10.0;-20.0;0\" />\n",
"\t\t\t</filter>\n",
"\t\t\t<!-- Swap sphere by cube -->\n",
"\t\t\t<swap>\n",
"\t\t\t\t<filter type=\"objloader\">\n",
"\t\t <param type=\"string\" key=\"filepath\" value=\"data/sceneparts/toyblocks/cube.obj\" />\n",
"\t\t </filter>\n",
"\t\t\t\t<filter type=\"scale\">\n",
"\t\t <param type=\"double\" key=\"scale\" value=\"2.0\" />\n",
"\t\t </filter>\n",
"\t\t\t\t<filter type=\"translate\">\n",
"\t\t\t\t\t<param type=\"vec3\" key=\"offset\" value=\"-40.0;40.0;0\" />\n",
"\t\t\t\t</filter>\n",
"\t\t\t</swap>\n",
"\t\t\t<!-- Swap cube by nothing -->\n",
"\t\t\t<swap force_null=\"true\">\n",
"\t\t\t</swap>\n",
"\t\t</part>\n",
"\n",
"\n",
"\n",
"\n",
"\t\t<!-- Small cube goes mid goes big goes bigger -->\n",
"\t\t<!-- **************************************** -->\n",
"\t\t<part id=\"4\">\n",
" <filter type=\"objloader\">\n",
" <param type=\"string\" key=\"filepath\" value=\"data/sceneparts/toyblocks/cube.obj\" />\n",
" </filter>\n",
"\t\t\t<filter type=\"rotate\">\n",
"\t\t\t\t<param key=\"rotation\" type=\"rotation\">\n",
"\t\t\t\t\t<rot angle_deg=\"45\" axis=\"z\" />\n",
"\t\t\t\t</param>\n",
"\t\t\t</filter>\n",
"\t\t\t<filter type=\"scale\">\n",
" <param type=\"double\" key=\"scale\" value=\"0.75\" />\n",
" </filter>\n",
"\t\t\t<filter type=\"translate\">\n",
"\t\t\t\t<param type=\"vec3\" key=\"offset\" value=\"-20.0;10.0;0\" />\n",
"\t\t\t</filter>\n",
"\t\t\t<!-- Swap small cube by mid cube -->\n",
"\t\t\t<swap swapStep=\"1\">\n",
"\t\t\t\t<filter type=\"rotate\">\n",
"\t\t\t\t\t<param key=\"rotation\" type=\"rotation\">\n",
"\t\t\t\t\t\t<rot angle_deg=\"45\" axis=\"z\" />\n",
"\t\t\t\t\t</param>\n",
"\t\t\t\t</filter>\n",
"\t\t\t\t<filter type=\"scale\">\n",
"\t\t <param type=\"double\" key=\"scale\" value=\"2.0\" />\n",
"\t\t </filter>\n",
"\t\t\t\t<filter type=\"translate\">\n",
"\t\t\t\t\t<param type=\"vec3\" key=\"offset\" value=\"-22.0;12.0;0\" />\n",
"\t\t\t\t</filter>\n",
"\t\t\t</swap>\n",
"\t\t\t<!-- Swap mid cube by big cube -->\n",
"\t\t\t<swap swapStep=\"1\">\n",
"\t\t\t\t<filter type=\"rotate\">\n",
"\t\t\t\t\t<param key=\"rotation\" type=\"rotation\">\n",
"\t\t\t\t\t\t<rot angle_deg=\"45\" axis=\"z\" />\n",
"\t\t\t\t\t</param>\n",
"\t\t\t\t</filter>\n",
"\t\t\t\t<filter type=\"scale\">\n",
"\t\t <param type=\"double\" key=\"scale\" value=\"3.0\" />\n",
"\t\t </filter>\n",
"\t\t\t\t<filter type=\"translate\">\n",
"\t\t\t\t\t<param type=\"vec3\" key=\"offset\" value=\"-18.0;11.0;0.0\" />\n",
"\t\t\t\t</filter>\n",
"\t\t\t</swap>\n",
"\t\t\t<!-- Swap big cube by bigger cube -->\n",
"\t\t\t<swap swapStep=\"1\">\n",
"\t\t\t\t<filter type=\"rotate\">\n",
"\t\t\t\t\t<param key=\"rotation\" type=\"rotation\">\n",
"\t\t\t\t\t\t<rot angle_deg=\"45\" axis=\"z\" />\n",
"\t\t\t\t\t</param>\n",
"\t\t\t\t</filter>\n",
"\t\t\t\t<filter type=\"scale\">\n",
"\t\t <param type=\"double\" key=\"scale\" value=\"3.5\" />\n",
"\t\t </filter>\n",
"\t\t\t\t<filter type=\"translate\">\n",
"\t\t\t\t\t<param type=\"vec3\" key=\"offset\" value=\"-42.0;12.0;0.0\" />\n",
"\t\t\t\t</filter>\n",
"\t\t\t</swap>\n",
" </part>\n",
" </scene>"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Code(display_xml('data/scenes/dyn/dyn_geom_swap_scene.xml', 'dyn_geom_swap_scene'))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Executing the Simulation\n",
"\n",
"To run the simulation in Jupyter Notebooks, we can use the `!command` syntax, but you can also just run it from the command line.\n",
"To get the output as a \"laz\" file, we also specify `--lasOutput` and `--zipOutput`. We also set the `--rebuildScene` flag, because HELIOS++ rewrites the binary `.scene` file for each swap iteration. If we had run the survey before and did had set this flag, HELIOS++ would just use the existing scene file and perform only one simulation (the last one from the previous run)."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"!helios data/surveys/dyn/als_dyn_geom_swap.xml --lasOutput --zipOutput --rebuildScene -q"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## The results\n",
"\n",
"Now let's find the output files, load it, and visualize it.\n",
"Since we performed several simulations, we have several output folders, four in total."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"# get the last four folders that were written for this survey\n",
"output_path = find_playback_dir(r\"data/surveys/dyn/als_dyn_geom_swap.xml\")\n",
"folders_sorted = sorted(Path(output_path).parent.glob('*'))[-4:]"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"def read_pc(path, pt_src_id):\n",
" las = laspy.read(path)\n",
" pc = np.array([las.x, las.y, las.z]).T\n",
" object_id = las['hitObjectId']\n",
" pt_src_id = np.repeat(pt_src_id, pc.shape[0])\n",
"\n",
" return pc, object_id, pt_src_id\n",
"\n",
"def load_and_merge(pc_folder):\n",
" print('Loading points from', Path(pc_folder).relative_to(os.getcwd()))\n",
"\n",
" pcs = []\n",
" obj_ids = []\n",
" pt_src_ids = []\n",
"\n",
" for i, file in enumerate(Path(pc_folder).glob('*.laz')):\n",
" pc, object_id, pt_src_id = read_pc(file, pt_src_id=i)\n",
" pcs.append(pc)\n",
" obj_ids.append(object_id)\n",
" pt_src_ids.append(pt_src_id)\n",
" \n",
" print('Merging files')\n",
" try:\n",
" pc_merged = np.vstack(pcs)\n",
" object_id_merged = np.hstack(obj_ids)\n",
" pt_src_id_merged = np.hstack((pt_src_ids))\n",
" except ValueError:\n",
" print('No points found in folder')\n",
" pc_merged = np.array([])\n",
" object_id_merged = np.array([])\n",
" pt_src_id_merged = np.array([])\n",
"\n",
" return pc_merged, object_id_merged, pt_src_id_merged"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Loading points from output\\dyn_geom_swap_als\\2024-12-05_18-28-58\n",
"Merging files\n",
"Loading points from output\\dyn_geom_swap_als\\2024-12-05_18-29-11\n",
"Merging files\n",
"Loading points from output\\dyn_geom_swap_als\\2024-12-05_18-29-34\n",
"Merging files\n",
"Loading points from output\\dyn_geom_swap_als\\2024-12-05_18-29-56\n",
"Merging files\n"
]
}
],
"source": [
"sim_dict = {'name': [],\n",
" 'pcs': [],\n",
" 'object_ids': [],\n",
" 'pt_src_ids': []}\n",
"for i, folder in enumerate(folders_sorted):\n",
" pc, obj_id, pt_src_id = load_and_merge(folder)\n",
" sim_dict['name'].append(folder.name)\n",
" sim_dict['pcs'].append(pc)\n",
" sim_dict['object_ids'].append(obj_id)\n",
" sim_dict['pt_src_ids'].append(pt_src_id)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"After loading the point clouds from file, we can now plot the four epochs from the four swaps."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x1200 with 5 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# create figure with 4 panels and 3d axes\n",
"fig = plt.figure(figsize=(12, 12))\n",
"last_pc = sim_dict['pcs'][-1]\n",
"box = (np.ptp(last_pc[:, 0]), np.ptp(last_pc[:, 1]), np.ptp(last_pc[:, 2]))\n",
"\n",
"# color map configuration\n",
"lower = 0\n",
"upper = 3\n",
"n = 4\n",
"cmap = mpl.colors.LinearSegmentedColormap.from_list('sceneparts', ['royalblue', 'cyan', 'yellow', 'orange'], N=n)\n",
"cmap._init()\n",
"norm = mpl.colors.Normalize()\n",
"deltac = (upper-lower)/(2*(n-1))\n",
"\n",
"for i, (pc, obj_id, name) in enumerate(zip(sim_dict['pcs'], sim_dict['object_ids'], sim_dict['name'])):\n",
" if pc.size == 0:\n",
" continue\n",
" # plot points in 3D with color based on object id in the respecitve panel\n",
" ax = fig.add_subplot(2, 2, i+1, projection='3d')\n",
" ax.scatter(pc[::5, 0], pc[::5, 1], pc[::5, 2], c=obj_id[::5], cmap=cmap, s=1)\n",
" # set equal axes\n",
" ax.set_box_aspect(box)\n",
" # set limits and labels\n",
" ax.set_xlim(-75, 200)\n",
" ax.set_xlabel('X')\n",
" ax.set_ylim(-125, 150)\n",
" ax.set_ylabel('Y')\n",
" ax.set_zlim(0, 100)\n",
" ax.set_zlabel('Z')\n",
" ax.set_title(name)\n",
"\n",
"mapper = mpl.cm.ScalarMappable(norm=norm, cmap=cmap)\n",
"mapper.set_array([lower-deltac, upper+deltac])\n",
"ax2 = fig.add_axes([0.95, 0.1, 0.02, 0.8])\n",
"cbar = fig.colorbar(mapper,\n",
" cax=ax2, orientation='vertical',\n",
" label=\"Object ID\", ticks=[0, 1, 2, 3])\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"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": "3.13.0"
}
},
"nbformat": 4,
"nbformat_minor": 4
}