Download this example
Download this example as a Jupyter Notebook or as a Python script. All assets used in the examples can be downloaded as a ZIP archive.
Moving car example by combining Speos files#
This tutorial demonstrates how to run moving car workflow use case. ## Prerequisites
Perform imports#
[1]:
import os
from pathlib import Path
from ansys.speos.core import Part, Speos, launcher
from ansys.speos.core.generic.version_checker import server_version_checker
from ansys.speos.core.kernel.client import (
default_docker_channel,
)
from ansys.speos.core.sensor import SensorCamera
from ansys.speos.core.simulation import SimulationInverse
from ansys.speos.core.source import SourceLuminaire
from ansys.speos.core.workflow.combine_speos import SpeosFileInstance, combine_speos
Define constants#
Constants help ensure consistency and avoid repetition throughout the example.
[2]:
HOSTNAME = "localhost"
GRPC_PORT = 50098 # Be sure the Speos GRPC Server has been started on this port.
CAR_NAMES = ["BlueCar", "RedCar"]
ENVIRONMENT_NAME = "Env_Simplified"
USE_DOCKER = True # Set to False if you're running this example locally as a Notebook.
USE_GPU = False
Coordinate systems#
Define the global coordinate systems for each of the assets.
[3]:
GLOBAL_CS = [
0, # Origin x
0, # Origin y
0, # Origin z
1, # x-direction x
0, # x-direction y
0, # x-direction z
0, # y-direction x
1, # y-direction y
0, # y-direction z
0, # z-direction x
0, # z-direction y
1, # z-direction z
]
CAR_CS = {
"red": [-4000, 0, 48000, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 1.0, 0.0],
"blue": [2000, 0, 35000, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0],
}
Load assets#
Assets used to run this example are available in the PySpeos repository on GitHub.
Note: Make sure you have downloaded simulation assets and set
assets_data_pathto point to the assets folder.
[4]:
if USE_DOCKER: # Running on the remote server.
assets_data_path = Path("/app") / "assets"
else:
assets_data_path = Path("/path/to/your/download/assets/directory")
[5]:
# ## Create connection with speos rpc server
if USE_DOCKER:
speos = Speos(channel=default_docker_channel())
else:
speos = launcher.launch_local_speos_rpc_server(port=GRPC_PORT)
/home/runner/work/pyspeos/pyspeos/.venv/lib/python3.14/site-packages/ansys/tools/common/cyberchannel.py:201: UserWarning: Starting gRPC client without TLS on localhost:50098. This is INSECURE. Consider using a secure connection.
warn(f"Starting gRPC client without TLS on {target}. This is INSECURE. Consider using a secure connection.")
Combine several speos files into one project#
Here we are building a project with:
An environment which is a road
A blue car
A red car
[6]:
full_env_path = assets_data_path / f"{ENVIRONMENT_NAME}.speos" / f"{ENVIRONMENT_NAME}.speos"
car_paths = [assets_data_path / f"{car}.speos" / f"{car}.speos" for car in CAR_NAMES]
assets = [
SpeosFileInstance(
speos_file=str(full_env_path),
axis_system=GLOBAL_CS,
),
SpeosFileInstance(
speos_file=str(car_paths[0]),
axis_system=CAR_CS["red"],
),
SpeosFileInstance(
speos_file=str(car_paths[1]),
axis_system=CAR_CS["blue"],
),
]
p = combine_speos(
speos=speos,
speos_to_combine=assets,
)
[7]:
print(p)
{
"part_guid": "9e380c86-c6a5-4c2a-ae34-c4ca0e98844e",
"materials": [
{
"name": "Env_Simplified.Material.1",
"metadata": {
"UniqueId": "b040efe1-0761-43da-8f50-b16dce8e4bd8"
},
"vop_guid": "16cce6d1-e537-480f-aacd-60b710c89456",
"geometries": {
"geo_paths": [
"Env_Simplified/Solid:1195288205"
]
},
"sop_guid": "4c171f1d-9323-4864-8bee-5908ee2e2528",
"display_name": "",
"description": "",
"sop_guids": [],
"vop": {
"opaque": {},
"name": "",
"description": "",
"metadata": {}
},
"sop": {
"library": {
"sop_file_uri": "/app/assets/Env_Simplified.speos/RL_Road_107_6c27-753a-e5eb-38d0..anisotropicbsdf"
},
"name": "",
"description": "",
"metadata": {}
}
},
{
"name": "Env_Simplified.Material.2",
"metadata": {
"UniqueId": "403a46fb-0b0f-44c6-b9ff-5e698089908d"
},
"vop_guid": "16cce6d1-e537-480f-aacd-60b710c89456",
"geometries": {
"geo_paths": [
"Env_Simplified/Sidewalk:530980414"
]
},
"sop_guid": "018705c5-7f0c-494c-8efd-41550e75485e",
"display_name": "",
"description": "",
"sop_guids": [],
"vop": {
"opaque": {},
"name": "",
"description": "",
"metadata": {}
},
"sop": {
"library": {
"sop_file_uri": "/app/assets/Env_Simplified.speos/Side Walk_33b4-3fff-6c8d-7671..scattering"
},
"name": "",
"description": "",
"metadata": {}
}
},
{
"name": "Env_Simplified.Material.3",
"metadata": {
"UniqueId": "dfa3a522-bb33-49d8-bccc-ddae1bd18c42"
},
"vop_guid": "16cce6d1-e537-480f-aacd-60b710c89456",
"geometries": {
"geo_paths": [
"Env_Simplified/Sidewalk:895709635"
]
},
"sop_guid": "018705c5-7f0c-494c-8efd-41550e75485e",
"display_name": "",
"description": "",
"sop_guids": [],
"vop": {
"opaque": {},
"name": "",
"description": "",
"metadata": {}
},
"sop": {
"library": {
"sop_file_uri": "/app/assets/Env_Simplified.speos/Side Walk_33b4-3fff-6c8d-7671..scattering"
},
"name": "",
"description": "",
"metadata": {}
}
},
{
"name": "Env_Simplified.Material.4",
"metadata": {
"UniqueId": "b2a027bb-1230-4f35-930a-9998810ad05a"
},
"geometries": {
"geo_paths": [
"Env_Simplified/Sidewalk:895709635/face.1:316406917",
"Env_Simplified/Sidewalk:895709635/face.1:1112941297"
]
},
"sop_guid": "c2c8b666-3a16-461f-87d1-64437419c578",
"display_name": "",
"description": "",
"sop_guids": [],
"sop": {
"library": {
"sop_file_uri": "/app/assets/Env_Simplified.speos/Grey Diffuse Paint_3635-3935-3d63-16d6..scattering"
},
"name": "",
"description": "",
"metadata": {}
}
},
{
"name": "Env_Simplified.Material.5",
"metadata": {
"UniqueId": "cdac438e-f39b-4466-8c0e-05e759950b9f"
},
"vop_guid": "16cce6d1-e537-480f-aacd-60b710c89456",
"geometries": {
"geo_paths": [
"Env_Simplified/Sidewalk:4000640054"
]
},
"sop_guid": "018705c5-7f0c-494c-8efd-41550e75485e",
"display_name": "",
"description": "",
"sop_guids": [],
"vop": {
"opaque": {},
"name": "",
"description": "",
"metadata": {}
},
"sop": {
"library": {
"sop_file_uri": "/app/assets/Env_Simplified.speos/Side Walk_33b4-3fff-6c8d-7671..scattering"
},
"name": "",
"description": "",
"metadata": {}
}
},
{
"name": "Env_Simplified.Material.6",
"metadata": {
"UniqueId": "801b50c6-6b21-45de-8991-f0684d050f9f"
},
"geometries": {
"geo_paths": [
"Env_Simplified/Sidewalk:4000640054/face.1:4194215934",
"Env_Simplified/Sidewalk:4000640054/face.1:1230904683"
]
},
"sop_guid": "c2c8b666-3a16-461f-87d1-64437419c578",
"display_name": "",
"description": "",
"sop_guids": [],
"sop": {
"library": {
"sop_file_uri": "/app/assets/Env_Simplified.speos/Grey Diffuse Paint_3635-3935-3d63-16d6..scattering"
},
"name": "",
"description": "",
"metadata": {}
}
},
{
"name": "BlueCar.Material.1",
"metadata": {
"UniqueId": "28681697-d149-4aca-8f02-1048ca0e9a1e"
},
"geometries": {
"geo_paths": [
"BlueCar/Solid:3252217597/face.1:1645799713",
"BlueCar/Solid:3252217597/face.1:3709259256",
"BlueCar/Solid:3252217597/face.1:3245061952",
"BlueCar/Solid:3252217597/face.1:1740077551",
"BlueCar/Solid:516754967/face.1:1903508963",
"BlueCar/Solid:516754967/face.1:3464173882",
"BlueCar/Solid:516754967/face.1:3523634050",
"BlueCar/Solid:516754967/face.1:1960488237",
"BlueCar/Solid:2263335813/face.1:4106343688",
"BlueCar/Solid:2263335813/face.1:1271919057",
"BlueCar/Solid:2263335813/face.1:1471318889",
"BlueCar/Solid:2263335813/face.1:4050535878",
"BlueCar/Solid:1920065013/face.1:2151688549",
"BlueCar/Solid:1920065013/face.1:1062079932",
"BlueCar/Solid:1920065013/face.1:590575364",
"BlueCar/Solid:1920065013/face.1:2247080363"
]
},
"sop_guid": "ab2f4a68-8e6e-4e67-96cc-a38af475dcfd",
"display_name": "",
"description": "",
"sop_guids": [],
"sop": {
"library": {
"sop_file_uri": "/app/assets/BlueCar.speos/TireDiffusor_06ab-e65b-b541-c3ab..simplescattering"
},
"name": "",
"description": "",
"metadata": {}
}
},
{
"name": "BlueCar.Material.2",
"metadata": {
"UniqueId": "31a638c7-dbe5-49a1-bc9b-a0a066d60132"
},
"geometries": {
"geo_paths": [
"BlueCar/Solid:401601473/face.1:864256700",
"BlueCar/Solid:401601473/face.1:674884460",
"BlueCar/Solid:401601473/face.1:3652159984",
"BlueCar/Solid:401601473/face.1:4231287330",
"BlueCar/Solid:401601473/face.1:471414467",
"BlueCar/Solid:401601473/face.1:2300729220",
"BlueCar/Solid:401601473/face.1:574129345",
"BlueCar/Solid:401601473/face.1:452256235",
"BlueCar/Solid:401601473/face.1:302409131",
"BlueCar/Solid:401601473/face.1:2287208135",
"BlueCar/Solid:401601473/face.1:1496437263",
"BlueCar/Solid:401601473/face.1:1811732616",
"BlueCar/Solid:401601473/face.1:3482257894",
"BlueCar/Solid:401601473/face.1:3927233076",
"BlueCar/Solid:401601473/face.1:171554517",
"BlueCar/Solid:401601473/face.1:3342649904",
"BlueCar/Solid:401601473/face.1:1923399684",
"BlueCar/Solid:401601473/face.1:965965728",
"BlueCar/Solid:401601473/face.1:498577886",
"BlueCar/Solid:401601473/face.1:2290929817",
"BlueCar/Solid:401601473/face.1:1755427960",
"BlueCar/Solid:401601473/face.1:597033948",
"BlueCar/Solid:401601473/face.1:2378553484",
"BlueCar/Solid:401601473/face.1:395820000",
"BlueCar/Solid:401601473/face.1:3337776936",
"BlueCar/Solid:401601473/face.1:3915963223",
"BlueCar/Solid:401601473/face.1:2277816097",
"BlueCar/Solid:401601473/face.1:2625560305",
"BlueCar/Solid:401601473/face.1:103595421",
"BlueCar/Solid:401601473/face.1:3611912533",
"BlueCar/Solid:401601473/face.1:1347204289",
"BlueCar/Solid:401601473/face.1:2931020918",
"BlueCar/Solid:401601473/face.1:887207706",
"BlueCar/Solid:401601473/face.1:3850658770",
"BlueCar/Solid:401601473/face.1:4157302709",
"BlueCar/Solid:401601473/face.1:2618254917",
"BlueCar/Solid:401601473/face.1:2855086790",
"BlueCar/Solid:401601473/face.1:2772707565",
"BlueCar/Solid:401601473/face.1:2304452156",
"BlueCar/Solid:401601473/face.1:2745827269",
"BlueCar/Solid:401601473/face.1:2987588024",
"BlueCar/Solid:401601473/face.1:45237037",
"BlueCar/Solid:401601473/face.1:1887340406",
"BlueCar/Solid:401601473/face.1:994652370",
"BlueCar/Solid:401601473/face.1:552818946",
"BlueCar/Solid:401601473/face.1:1808068262",
"BlueCar/Solid:401601473/face.1:3774898119",
"BlueCar/Solid:401601473/face.1:3421668926",
"BlueCar/Solid:401601473/face.1:3662250051",
"BlueCar/Solid:401601473/face.1:3575677544",
"BlueCar/Solid:401601473/face.1:4181691577"
]
},
"sop_guid": "1164a911-8bb2-4d5d-a523-9f7d2299569f",
"display_name": "",
"description": "",
"sop_guids": [],
"sop": {
"library": {
"sop_file_uri": "/app/assets/BlueCar.speos/Car_Paint_Material_Blue_365b-9ed1-1e57-eedd..brdf"
},
"name": "",
"description": "",
"metadata": {}
}
},
{
"name": "BlueCar.Material.3",
"metadata": {
"UniqueId": "81ea71e9-fffe-4b94-9856-59fc18235e8c"
},
"geometries": {
"geo_paths": [
"BlueCar/Solid1:1003010499/face.1:3959360578",
"BlueCar/Solid1:1003010499/face.1:198338723",
"BlueCar/Solid1:1003010499/face.1:58624004",
"BlueCar/Solid1:1003010499/face.1:494376775",
"BlueCar/Solid1:1003010499/face.1:80289655",
"BlueCar/Solid1:1003010499/face.1:2640544264",
"BlueCar/Solid1:1003010499/face.1:979555788",
"BlueCar/Solid1:1003010499/face.1:1422834106",
"BlueCar/Solid1:1003010499/face.1:1333055594",
"BlueCar/Solid1:1003010499/face.1:3576083206",
"BlueCar/Solid1:1003010499/face.1:71526350",
"BlueCar/Solid1:1003010499/face.1:2202450522",
"BlueCar/Solid1:1003010499/face.1:2799526280",
"BlueCar/Solid1:1003010499/face.1:1190135145",
"BlueCar/Solid1:1003010499/face.1:3553322030",
"BlueCar/Solid1:1003010499/face.1:870711503",
"BlueCar/Solid1:1003010499/face.1:377346845",
"BlueCar/Solid1:1003010499/face.1:2109332205",
"BlueCar/Solid1:1003010499/face.1:3890985345",
"BlueCar/Solid1:1003010499/face.1:915303753",
"BlueCar/Solid1:1003010499/face.1:2466102311",
"BlueCar/Solid1:1003010499/face.1:3076941813",
"BlueCar/Solid1:1003010499/face.1:1464533780",
"BlueCar/Solid1:1003010499/face.1:2588835825",
"BlueCar/Solid1:1003010499/face.1:2053315344",
"BlueCar/Solid:2710379468/face.1:1829196173",
"BlueCar/Solid:2710379468/face.1:3160573253",
"BlueCar/Solid:2710379468/face.1:996628689",
"BlueCar/Solid:2710379468/face.1:577740154",
"BlueCar/Solid:2710379468/face.1:3259169179",
"BlueCar/Solid:2710379468/face.1:3889766985",
"BlueCar/Solid:2710379468/face.1:2306166335",
"BlueCar/Solid:2710379468/face.1:2463049711",
"BlueCar/Solid:2710379468/face.1:144524419",
"BlueCar/Solid:2710379468/face.1:3656945739",
"BlueCar/Solid:2169288061/face.1:3296663008",
"BlueCar/Solid:2169288061/face.1:354074920",
"BlueCar/Solid:2169288061/face.1:2451512508",
"BlueCar/Solid:2169288061/face.1:2333595927",
"BlueCar/Solid:2169288061/face.1:1799011830",
"BlueCar/Solid:2169288061/face.1:1319200292",
"BlueCar/Solid:2169288061/face.1:537725522",
"BlueCar/Solid:2169288061/face.1:1001874306",
"BlueCar/Solid:2169288061/face.1:2716139758",
"BlueCar/Solid:2169288061/face.1:1887491110"
]
},
"sop_guid": "3d9a1fba-21eb-4ae2-8158-fab030e14fbd",
"display_name": "",
"description": "",
"sop_guids": [],
"sop": {
"library": {
"sop_file_uri": "/app/assets/BlueCar.speos/Grey Diffuse Paint_5d78-9f5b-6612-4c7a..scattering"
},
"name": "",
"description": "",
"metadata": {}
}
},
{
"name": "RedCar.Material.1",
"metadata": {
"UniqueId": "46463001-979e-4e38-b6c8-04f554477e4b"
},
"geometries": {
"geo_paths": [
"RedCar/Solid:3635120264/face.1:1613122768",
"RedCar/Solid:3635120264/face.1:3094519244",
"RedCar/Solid:3635120264/face.1:3580074009",
"RedCar/Solid:3635120264/face.1:927409569",
"RedCar/Solid:2051257771/face.1:210648018",
"RedCar/Solid:2051257771/face.1:1637826055",
"RedCar/Solid:2051257771/face.1:66842235",
"RedCar/Solid:2051257771/face.1:2878201919",
"RedCar/Solid:739836401/face.1:3889611434",
"RedCar/Solid:739836401/face.1:1581167125",
"RedCar/Solid:739836401/face.1:4131961937",
"RedCar/Solid:739836401/face.1:3950733020",
"RedCar/Solid:635282113/face.1:3094435495",
"RedCar/Solid:635282113/face.1:268916963",
"RedCar/Solid:635282113/face.1:221545070",
"RedCar/Solid:635282113/face.1:3346128909"
]
},
"sop_guid": "51144cd2-b4c7-481d-8bfd-4978797d3a0d",
"display_name": "",
"description": "",
"sop_guids": [],
"sop": {
"library": {
"sop_file_uri": "/app/assets/RedCar.speos/TireDiffusor_a5c2-fa68-db22-4ccb..simplescattering"
},
"name": "",
"description": "",
"metadata": {}
}
},
{
"name": "RedCar.Material.2",
"metadata": {
"UniqueId": "c2d99139-bfbf-483f-ba46-25342cfe8abc"
},
"geometries": {
"geo_paths": [
"RedCar/Solid:39455731/face.1:1896962477",
"RedCar/Solid:39455731/face.1:3993234924",
"RedCar/Solid:39455731/face.1:669232533",
"RedCar/Solid:39455731/face.1:1809034615",
"RedCar/Solid:39455731/face.1:3571969486",
"RedCar/Solid:39455731/face.1:1185658288",
"RedCar/Solid:39455731/face.1:3291192008",
"RedCar/Solid:39455731/face.1:1891688472",
"RedCar/Solid:39455731/face.1:3563865060",
"RedCar/Solid:39455731/face.1:205034232",
"RedCar/Solid:39455731/face.1:1630115629"
]
},
"sop_guid": "d52574a3-a550-483f-bbc2-5e7f76eaab9a",
"display_name": "",
"description": "",
"sop_guids": [],
"sop": {
"library": {
"sop_file_uri": "/app/assets/RedCar.speos/Red Diffuse Paint_c594-8c92-c39c-e0b0..scattering"
},
"name": "",
"description": "",
"metadata": {}
}
}
],
"name": "",
"description": "",
"metadata": {},
"sub_scene_anchor_axis_system": [],
"sources": [],
"sensors": [],
"simulations": [],
"scenes": []
}
Preview the project#
User can review the created/loaded project using preview method.
[8]:
p.preview()
Complete the project with sensor/source/simulation#
We are adding a camera sensor to have output results, a luminaire to have a light source.
And, we gather the source and the sensor into a simulation (we will compute it just after).
Create a sensor#
[9]:
ssr = p.create_sensor(name="Camera.1", feature_type=SensorCamera)
ssr.distortion_file_uri = str(
assets_data_path / "CameraInputFiles" / "CameraDistortion_190deg.OPTDistortion"
)
ssr.set_mode_photometric().transmittance_file_uri = str(
assets_data_path / "CameraInputFiles" / "CameraTransmittance.spectrum"
)
color_mode = ssr.set_mode_photometric().set_mode_color()
color_mode.red_spectrum_file_uri = str(
assets_data_path / "CameraInputFiles" / "CameraSensitivityRed.spectrum"
)
color_mode.blue_spectrum_file_uri = str(
assets_data_path / "CameraInputFiles" / "CameraSensitivityBlue.spectrum"
)
color_mode.green_spectrum_file_uri = str(
assets_data_path / "CameraInputFiles" / "CameraSensitivityGreen.spectrum"
)
[10]:
ssr.axis_system = [-2000, 1500, 11000, -1, 0, 0, 0, 1, 0, 0, 0, -1]
ssr.commit()
[10]:
<ansys.speos.core.sensor.SensorCamera at 0x7f8905d28440>
Create a source#
In this example, a luminaire source is created with an IES file.
More details on creating/editing source examples can be found in core examples.
[11]:
src = p.create_source(name="Luminaire.1", feature_type=SourceLuminaire)
src.intensity_file_uri = assets_data_path / "IES_C_DETECTOR.ies"
src.spectrum.set_daylightfluorescent()
src.axis_system = [0, 10000, 50000, 1, 0, 0, 0, 1, 0, 0, 0, 1]
src.commit()
[11]:
<ansys.speos.core.source.SourceLuminaire at 0x7f8905d281a0>
Create a simulation#
More details on creating/editing simulation examples can be found in core examples.
[12]:
sim = p.create_simulation(name="Inverse.1", feature_type=SimulationInverse)
sim.sensor_paths = [ssr]
sim.source_paths = [src]
sim.commit()
[12]:
<ansys.speos.core.simulation.SimulationInverse at 0x7f8905d282f0>
Run the simulation#
Simulation can be run using CPU via compute_CPU method or using GPU via compute_GPU method.
[13]:
run_sim = sim.compute_GPU if USE_GPU else sim.compute_CPU
run_sim() # Run the simulation
[13]:
[upload_response {
info {
uri: "40861b45-58d0-44c7-ae85-86157120dd73"
file_name: "Camera.1.Irradiance.xmp"
file_size: 10639308
}
}
, upload_response {
info {
uri: "dd4f5284-9077-4832-8a10-8506e964b0fb"
file_name: "Camera.1.hdr"
file_size: 518384
}
}
, upload_response {
info {
uri: "53366096-b659-4ac9-a645-b4fac85c7bbd"
file_name: "Camera.1.xmp"
file_size: 1803378
}
}
, upload_response {
info {
uri: "219db15d-4ad4-4bb4-a9a3-9a02d255ea1c"
file_name: "Camera.1.png"
file_size: 741175
}
}
, upload_response {
info {
uri: "4c052e41-97b6-4599-83c9-21396710d877"
file_name: "Inverse.1.html"
file_size: 997516
}
}
]
Check and review result#
Open result
[14]:
# Method available only on Windows OS or with Speos 2026 R1.2 or higher,
# which supports opening XMP results as images regardless of the OS.
if os.name == "nt" or server_version_checker.is_version_supported(2026, 1, 2):
from ansys.speos.core.workflow.open_result import open_result_image
open_result_image(simulation_feature=sim, result_name="Camera.1.png")
Modify part#
Move the part via changing the axis_system of a part.
axis_system is a list of 12 float values: x, y, z, x_vect_x, x_vect_y, x_vect_z, y_vect_x, y_vect_y, y_vect_z, z_vect_x, z_vect_y, z_vect_z.
[15]:
blue_car_sub_part = p.find(name="BlueCar", feature_type=Part.SubPart)[0]
blue_car_sub_part.axis_system = [2000, 0.0, 20000, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0]
blue_car_sub_part.commit()
[15]:
<ansys.speos.core.part.Part.SubPart at 0x7f896cdddd10>
Re-run simulation with the modified part position#
[16]:
run_sim()
[16]:
[upload_response {
info {
uri: "5c52db5c-f062-4294-bd31-142545f63726"
file_name: "Camera.1.Irradiance.xmp"
file_size: 10381670
}
}
, upload_response {
info {
uri: "fdd43d1c-22e0-429c-9a10-a32208e3de3b"
file_name: "Camera.1.hdr"
file_size: 519737
}
}
, upload_response {
info {
uri: "ca63b8cc-ce21-482a-ac69-8d14c86aee15"
file_name: "Camera.1.xmp"
file_size: 1766895
}
}
, upload_response {
info {
uri: "3e3b5a94-53cf-42a0-ba24-2ea72876c4da"
file_name: "Camera.1.png"
file_size: 728222
}
}
, upload_response {
info {
uri: "e6b600c6-04d1-41da-bfbd-50d27f09aaa3"
file_name: "Inverse.1.html"
file_size: 981189
}
}
]
Review result:
[17]:
# Method available only on Windows OS or with Speos 2026 R1.2 or higher,
# which supports opening XMP results as images regardless of the OS.
if os.name == "nt" or server_version_checker.is_version_supported(2026, 1, 2):
open_result_image(simulation_feature=sim, result_name="Camera.1.png")
Modify camera property#
Modify the camera, e.g. focal length to 10
[18]:
cam1 = p.find(name="Camera.1", feature_type=SensorCamera)[0]
cam1.focal_length = 10
cam1.commit()
[18]:
<ansys.speos.core.sensor.SensorCamera at 0x7f8905d28440>
Re-run the simulation and review result
[19]:
run_sim()
# Method available only on Windows OS or with Speos 2026 R1.2 or higher,
# which supports opening XMP results as images regardless of the OS.
if os.name == "nt" or server_version_checker.is_version_supported(2026, 1, 2):
open_result_image(simulation_feature=sim, result_name="Camera.1.png")
[20]:
speos.close()
[20]:
True
Download this example
Download this example as a Jupyter Notebook or as a Python script. All assets used in the examples can be downloaded as a ZIP archive.