Datasets:

pe-nlp

/

ov-kit-files-filtered-dedup-py

like 0

CesiumGS/cesium-omniverse/exts/cesium.omniverse/cesium/omniverse/models/tests/raster_overlay_to_add_test.py

import carb.events import omni.kit.test from unittest.mock import MagicMock from cesium.omniverse.models.raster_overlay_to_add import RasterOverlayToAdd TILESET_PATH = "/fake/tileset/path" RASTER_OVERLAY_NAME = "fake_raster_overlay_name" RASTER_OVERLAY_ION_ASSET_ID = 2 PAYLOAD_DICT = { "tileset_path": TILESET_PATH, "raster_overlay_name": RASTER_OVERLAY_NAME, "raster_overlay_ion_asset_id": RASTER_OVERLAY_ION_ASSET_ID, } class RasterOverlayToAddTest(omni.kit.test.AsyncTestCase): async def setUp(self): pass async def tearDown(self): pass async def test_convert_raster_overlay_to_add_to_dict(self): raster_overlay_to_add = RasterOverlayToAdd( tileset_path=TILESET_PATH, raster_overlay_ion_asset_id=RASTER_OVERLAY_ION_ASSET_ID, raster_overlay_name=RASTER_OVERLAY_NAME, ) result = raster_overlay_to_add.to_dict() self.assertEqual(result["tileset_path"], TILESET_PATH) self.assertEqual(result["raster_overlay_name"], RASTER_OVERLAY_NAME) self.assertEqual(result["raster_overlay_ion_asset_id"], RASTER_OVERLAY_ION_ASSET_ID) async def test_create_raster_overlay_to_add_from_event(self): mock_event = MagicMock(spec=carb.events.IEvent) mock_event.payload = PAYLOAD_DICT raster_overlay_to_add = RasterOverlayToAdd.from_event(mock_event) self.assertIsNotNone(raster_overlay_to_add) self.assertEqual(raster_overlay_to_add.tileset_path, TILESET_PATH) self.assertEqual(raster_overlay_to_add.raster_overlay_name, RASTER_OVERLAY_NAME) self.assertEqual(raster_overlay_to_add.raster_overlay_ion_asset_id, RASTER_OVERLAY_ION_ASSET_ID) async def test_create_raster_overlay_to_add_from_empty_event(self): mock_event = MagicMock(spec=carb.events.IEvent) mock_event.payload = None raster_overlay_to_add = RasterOverlayToAdd.from_event(mock_event) self.assertIsNone(raster_overlay_to_add)

Python

CesiumGS/cesium-omniverse/exts/cesium.omniverse/cesium/omniverse/models/tests/__init__.py

from .asset_to_add_test import AssetToAddTest # noqa: F401 from .raster_overlay_to_add_test import RasterOverlayToAddTest # noqa: F401

Python

CesiumGS/cesium-omniverse/exts/cesium.omniverse/cesium/omniverse/models/tests/asset_to_add_test.py

import carb.events import omni.kit.test from unittest.mock import MagicMock from cesium.omniverse.models.asset_to_add import AssetToAdd TILESET_NAME = "fake_tileset_name" TILESET_ION_ASSET_ID = 1 RASTER_OVERLAY_NAME = "fake_raster_overlay_name" RASTER_OVERLAY_ION_ASSET_ID = 2 PAYLOAD_DICT = { "tileset_name": TILESET_NAME, "tileset_ion_asset_id": TILESET_ION_ASSET_ID, "raster_overlay_name": RASTER_OVERLAY_NAME, "raster_overlay_ion_asset_id": RASTER_OVERLAY_ION_ASSET_ID, } class AssetToAddTest(omni.kit.test.AsyncTestCase): async def setUp(self): pass async def tearDown(self): pass async def test_convert_asset_to_add_to_dict(self): asset_to_add = AssetToAdd( tileset_name=TILESET_NAME, tileset_ion_asset_id=TILESET_ION_ASSET_ID, raster_overlay_name=RASTER_OVERLAY_NAME, raster_overlay_ion_asset_id=RASTER_OVERLAY_ION_ASSET_ID, ) result = asset_to_add.to_dict() self.assertEqual(result["tileset_name"], TILESET_NAME) self.assertEqual(result["tileset_ion_asset_id"], TILESET_ION_ASSET_ID) self.assertEqual(result["raster_overlay_name"], RASTER_OVERLAY_NAME) self.assertEqual(result["raster_overlay_ion_asset_id"], RASTER_OVERLAY_ION_ASSET_ID) async def test_create_asset_to_add_from_event(self): mock_event = MagicMock(spec=carb.events.IEvent) mock_event.payload = PAYLOAD_DICT asset_to_add = AssetToAdd.from_event(mock_event) self.assertIsNotNone(asset_to_add) self.assertEqual(asset_to_add.tileset_name, TILESET_NAME) self.assertEqual(asset_to_add.tileset_ion_asset_id, TILESET_ION_ASSET_ID) self.assertEqual(asset_to_add.raster_overlay_name, RASTER_OVERLAY_NAME) self.assertEqual(asset_to_add.raster_overlay_ion_asset_id, RASTER_OVERLAY_ION_ASSET_ID) async def test_create_asset_to_add_from_empty_event(self): mock_event = MagicMock(spec=carb.events.IEvent) mock_event.payload = None asset_to_add = AssetToAdd.from_event(mock_event) self.assertIsNone(asset_to_add)

Python

CesiumGS/cesium-omniverse/exts/cesium.omniverse/cesium/omniverse/tests/__init__.py

# For Python testing within Omniverse, it only looks in the `.tests` submodule in whatever is defined # as an extensions Python module. For organization purposes, we then import all of our tests from our other # testing submodules. from .extension_test import * # noqa: F401 F403 from ..models.tests import * # noqa: F401 F403 from ..ui.tests import * # noqa: F401 F403 from ..ui.models.tests import * # noqa: F401 F403

Python

CesiumGS/cesium-omniverse/exts/cesium.omniverse/cesium/omniverse/tests/utils.py

from pathlib import Path import omni.kit.app def get_golden_img_dir(): manager = omni.kit.app.get_app().get_extension_manager() ext_id = manager.get_extension_id_by_module("cesium.omniverse") return Path(manager.get_extension_path(ext_id)).joinpath("images/tests/ui/pass_fail_widget") async def wait_for_update(wait_frames=10): for _ in range(wait_frames): await omni.kit.app.get_app().next_update_async()

Python

CesiumGS/cesium-omniverse/exts/cesium.omniverse/cesium/omniverse/tests/extension_test.py

import omni.kit.test import omni.kit.ui_test as ui_test import omni.usd import pxr.Usd import cesium.usd from typing import Optional _window_ref: Optional[ui_test.WidgetRef] = None class ExtensionTest(omni.kit.test.AsyncTestCase): async def setUp(self): global _window_ref # can be removed (or at least decreased) once there is no delay # required before spawning the cesium window. See: # https://github.com/CesiumGS/cesium-omniverse/pull/423 await ui_test.wait_n_updates(24) _window_ref = ui_test.find("Cesium") async def tearDown(self): pass async def test_cesium_window_opens(self): global _window_ref self.assertIsNotNone(_window_ref) async def test_window_docked(self): global _window_ref # docked is false if the window is not in focus, # as may be the case if other extensions are loaded await _window_ref.focus() self.assertTrue(_window_ref.window.docked) async def test_blank_tileset(self): global _window_ref blankTilesetButton = _window_ref.find("**/Button[*].text=='Blank 3D Tiles Tileset'") self.assertIsNotNone(blankTilesetButton) stage: pxr.Usd.Stage = omni.usd.get_context().get_stage() self.assertIsNotNone(stage) self.assertFalse(any([i.IsA(cesium.usd.plugins.CesiumUsdSchemas.Tileset) for i in stage.Traverse()])) await blankTilesetButton.click() await ui_test.wait_n_updates(2) # passes without, but seems prudent self.assertTrue(any([i.IsA(cesium.usd.plugins.CesiumUsdSchemas.Tileset) for i in stage.Traverse()]))

Python

CesiumGS/cesium-omniverse/exts/cesium.omniverse/cesium/omniverse/utils/custom_fields.py

import omni.ui as ui READ_ONLY_STYLE = {"color": ui.color("#888888")} def string_field_with_label(label_text, model=None, enabled=True): with ui.HStack(spacing=4, height=20): ui.Label(label_text, height=20, width=100) field = ui.StringField(height=20, enabled=enabled) if not enabled: field.style = READ_ONLY_STYLE if model: field.model = model return field def int_field_with_label(label_text, model=None, enabled=True): with ui.HStack(spacing=4, height=20): ui.Label(label_text, height=20, width=100) field = ui.IntField(height=20, enabled=enabled) if not enabled: field.style = READ_ONLY_STYLE if model: field.model = model return field def float_field_with_label(label_text, model=None, enabled=True): with ui.HStack(spacing=4, height=20): ui.Label(label_text, height=20, width=100) field = ui.FloatField(height=20, enabled=enabled, precision=7) if not enabled: field.style = READ_ONLY_STYLE if model: field.model = model return field

Python

CesiumGS/cesium-omniverse/exts/cesium.omniverse/cesium/omniverse/utils/utils.py

from typing import Optional, Callable import omni.usd import omni.kit import omni.ui as ui async def wait_n_frames(n: int) -> None: for i in range(0, n): await omni.kit.app.get_app().next_update_async() async def dock_window_async( window: Optional[ui.Window], target: str = "Stage", position: ui.DockPosition = ui.DockPosition.SAME ) -> None: if window is None: return # Wait five frame await wait_n_frames(5) stage_window = ui.Workspace.get_window(target) window.dock_in(stage_window, position, 1) window.focus() async def perform_action_after_n_frames_async(n: int, action: Callable[[], None]) -> None: await wait_n_frames(n) action() def str_is_empty_or_none(s: Optional[str]) -> bool: if s is None: return True if s == "": return True return False

Python

CesiumGS/cesium-omniverse/exts/cesium.omniverse/cesium/omniverse/utils/cesium_interface.py

from ..bindings import acquire_cesium_omniverse_interface class CesiumInterfaceManager: def __init__(self): # Acquires the interface. Is a singleton. self.interface = acquire_cesium_omniverse_interface() def __enter__(self): return self.interface def __exit__(self, exc_type, exc_val, exc_tb): # We release the interface when we pull down the plugin. pass

Python

CesiumGS/cesium-omniverse/apps/exts/cesium.performance.app/cesium/performance/app/extension.py

from functools import partial import asyncio import time from typing import Callable, List, Optional import logging import carb.events import omni.ext import omni.ui as ui import omni.usd import omni.kit.app as app import omni.kit.ui from omni.kit.viewport.utility import get_active_viewport from pxr import Gf, Sdf, UsdGeom from .performance_window import CesiumPerformanceWindow from .fps_sampler import FpsSampler from cesium.omniverse.bindings import acquire_cesium_omniverse_interface, release_cesium_omniverse_interface from cesium.omniverse.utils import wait_n_frames, dock_window_async from cesium.usd.plugins.CesiumUsdSchemas import ( Data as CesiumData, Georeference as CesiumGeoreference, IonRasterOverlay as CesiumIonRasterOverlay, Tileset as CesiumTileset, Tokens as CesiumTokens, ) ION_ACCESS_TOKEN = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJqdGkiOiI0Y2ZjNzY3NC04MWIyLTQyN2ItODg3Zi0zYzk3MmQxZWYxMmIiLCJpZCI6MjU5LCJpYXQiOjE3MTE5NzkyNzl9.GuvRiyuJO14zjA5_mIwgocOShmF4EUj2xbmikcCeXxs" # noqa: E501 GOOGLE_3D_TILES_ION_ID = 2275207 CESIUM_DATA_PRIM_PATH = "/Cesium" CESIUM_GEOREFERENCE_PRIM_PATH = "/CesiumGeoreference" CESIUM_CAMERA_PATH = "/Camera" class CesiumPerformanceExtension(omni.ext.IExt): def __init__(self): super().__init__() self._logger = logging.getLogger(__name__) self._performance_window: Optional[CesiumPerformanceWindow] = None self._view_new_york_city_subscription: Optional[carb.events.ISubscription] = None self._view_paris_subscription: Optional[carb.events.ISubscription] = None self._view_grand_canyon_subscription: Optional[carb.events.ISubscription] = None self._view_tour_subscription: Optional[carb.events.ISubscription] = None self._view_new_york_city_google_subscription: Optional[carb.events.ISubscription] = None self._view_paris_google_subscription: Optional[carb.events.ISubscription] = None self._view_grand_canyon_google_subscription: Optional[carb.events.ISubscription] = None self._view_tour_google_subscription: Optional[carb.events.ISubscription] = None self._stop_subscription: Optional[carb.events.ISubscription] = None self._on_stage_subscription: Optional[carb.events.ISubscription] = None self._update_frame_subscription: Optional[carb.events.ISubscription] = None self._tileset_loaded_subscription: Optional[carb.events.ISubscription] = None self._camera_path: Optional[str] = None self._tileset_path: Optional[str] = None self._active: bool = False self._start_time: float = 0.0 self._fps_sampler: FpsSampler = FpsSampler() def on_startup(self): global _cesium_omniverse_interface _cesium_omniverse_interface = acquire_cesium_omniverse_interface() self._setup_menus() self._show_and_dock_startup_windows() bus = app.get_app().get_message_bus_event_stream() view_new_york_city_event = carb.events.type_from_string("cesium.performance.VIEW_NEW_YORK_CITY") self._view_new_york_city_subscription = bus.create_subscription_to_pop_by_type( view_new_york_city_event, self._view_new_york_city ) view_paris_event = carb.events.type_from_string("cesium.performance.VIEW_PARIS") self._view_paris_subscription = bus.create_subscription_to_pop_by_type(view_paris_event, self._view_paris) view_grand_canyon_event = carb.events.type_from_string("cesium.performance.VIEW_GRAND_CANYON") self._view_grand_canyon_subscription = bus.create_subscription_to_pop_by_type( view_grand_canyon_event, self._view_grand_canyon ) view_tour_event = carb.events.type_from_string("cesium.performance.VIEW_TOUR") self._view_tour_subscription = bus.create_subscription_to_pop_by_type(view_tour_event, self._view_tour) view_new_york_city_google_event = carb.events.type_from_string("cesium.performance.VIEW_NEW_YORK_CITY_GOOGLE") self._view_new_york_city_google_subscription = bus.create_subscription_to_pop_by_type( view_new_york_city_google_event, self._view_new_york_city_google ) view_paris_google_event = carb.events.type_from_string("cesium.performance.VIEW_PARIS_GOOGLE") self._view_paris_google_subscription = bus.create_subscription_to_pop_by_type( view_paris_google_event, self._view_paris_google ) view_grand_canyon_google_event = carb.events.type_from_string("cesium.performance.VIEW_GRAND_CANYON_GOOGLE") self._view_grand_canyon_google_subscription = bus.create_subscription_to_pop_by_type( view_grand_canyon_google_event, self._view_grand_canyon_google ) view_tour_google_event = carb.events.type_from_string("cesium.performance.VIEW_TOUR_GOOGLE") self._view_tour_google_subscription = bus.create_subscription_to_pop_by_type( view_tour_google_event, self._view_tour_google ) stop_event = carb.events.type_from_string("cesium.performance.STOP") self._stop_subscription = bus.create_subscription_to_pop_by_type(stop_event, self._on_stop) usd_context = omni.usd.get_context() if usd_context.get_stage_state() == omni.usd.StageState.OPENED: self._on_stage_opened() self._on_stage_subscription = usd_context.get_stage_event_stream().create_subscription_to_pop( self._on_stage_event, name="cesium.performance.ON_STAGE_EVENT" ) update_stream = app.get_app().get_update_event_stream() self._update_frame_subscription = update_stream.create_subscription_to_pop( self._on_update_frame, name="cesium.performance.ON_UPDATE_FRAME" ) def on_shutdown(self): self._clear_scene() if self._view_new_york_city_subscription is not None: self._view_new_york_city_subscription.unsubscribe() self._view_new_york_city_subscription = None if self._view_paris_subscription is not None: self._view_paris_subscription.unsubscribe() self._view_paris_subscription = None if self._view_grand_canyon_subscription is not None: self._view_grand_canyon_subscription.unsubscribe() self._view_grand_canyon_subscription = None if self._view_tour_subscription is not None: self._view_tour_subscription.unsubscribe() self._view_tour_subscription = None if self._view_new_york_city_google_subscription is not None: self._view_new_york_city_google_subscription.unsubscribe() self._view_new_york_city_google_subscription = None if self._view_paris_google_subscription is not None: self._view_paris_google_subscription.unsubscribe() self._view_paris_google_subscription = None if self._view_grand_canyon_google_subscription is not None: self._view_grand_canyon_google_subscription.unsubscribe() self._view_grand_canyon_google_subscription = None if self._view_tour_google_subscription is not None: self._view_tour_google_subscription.unsubscribe() self._view_tour_google_subscription = None if self._stop_subscription is not None: self._stop_subscription.unsubscribe() self._stop_subscription = None if self._on_stage_subscription is not None: self._on_stage_subscription.unsubscribe() self._on_stage_subscription = None if self._update_frame_subscription is not None: self._update_frame_subscription.unsubscribe() self._update_frame_subscription = None self._fps_sampler.destroy() self._destroy_performance_window() release_cesium_omniverse_interface(_cesium_omniverse_interface) def _setup_menus(self): ui.Workspace.set_show_window_fn( CesiumPerformanceWindow.WINDOW_NAME, partial(self._show_performance_window, None) ) editor_menu = omni.kit.ui.get_editor_menu() if editor_menu: editor_menu.add_item( CesiumPerformanceWindow.MENU_PATH, self._show_performance_window, toggle=True, value=True ) def _show_and_dock_startup_windows(self): ui.Workspace.show_window(CesiumPerformanceWindow.WINDOW_NAME) asyncio.ensure_future(dock_window_async(self._performance_window, target="Property")) def _destroy_performance_window(self): if self._performance_window is not None: self._performance_window.destroy() self._performance_window = None async def _destroy_window_async(self, path): # Wait one frame, this is due to the one frame defer in Window::_moveToMainOSWindow() await wait_n_frames(1) if path is CesiumPerformanceWindow.MENU_PATH: self._destroy_performance_window() def _visibility_changed_fn(self, path, visible): editor_menu = omni.kit.ui.get_editor_menu() if editor_menu: editor_menu.set_value(path, visible) if not visible: asyncio.ensure_future(self._destroy_window_async(path)) def _show_performance_window(self, _menu, value): if value: self._performance_window = CesiumPerformanceWindow(_cesium_omniverse_interface, width=300, height=400) self._performance_window.set_visibility_changed_fn( partial(self._visibility_changed_fn, CesiumPerformanceWindow.MENU_PATH) ) elif self._performance_window is not None: self._performance_window.visible = False def _on_update_frame(self, _e: carb.events.IEvent): if self._active is True: duration = self._get_duration() self._update_duration_ui(duration) self._update_fps_ui(self._fps_sampler.get_fps()) def _on_stage_event(self, _e: carb.events.IEvent): usd_context = omni.usd.get_context() if usd_context.get_stage_state() == omni.usd.StageState.OPENED: self._on_stage_opened() def _on_stage_opened(self): self._camera_path = self._create_camera(CESIUM_CAMERA_PATH) @staticmethod def _create_tileset_ion(path: str, asset_id: int, access_token: str) -> str: stage = omni.usd.get_context().get_stage() tileset_path = omni.usd.get_stage_next_free_path(stage, path, False) tileset = CesiumTileset.Define(stage, tileset_path) assert tileset.GetPrim().IsValid() tileset.GetIonAssetIdAttr().Set(asset_id) tileset.GetIonAccessTokenAttr().Set(access_token) tileset.GetSourceTypeAttr().Set(CesiumTokens.ion) return tileset_path @staticmethod def _create_tileset_google() -> str: stage = omni.usd.get_context().get_stage() tileset_path = omni.usd.get_stage_next_free_path(stage, "/Google_3D_Tiles", False) tileset = CesiumTileset.Define(stage, tileset_path) tileset.GetIonAssetIdAttr().Set(GOOGLE_3D_TILES_ION_ID) tileset.GetIonAccessTokenAttr().Set(ION_ACCESS_TOKEN) tileset.GetSourceTypeAttr().Set(CesiumTokens.ion) return tileset_path @staticmethod def _create_raster_overlay_ion(path: str, asset_id: int, access_token: str) -> str: stage = omni.usd.get_context().get_stage() raster_overlay_path = omni.usd.get_stage_next_free_path(stage, path, False) raster_overlay = CesiumIonRasterOverlay.Define(stage, raster_overlay_path) assert raster_overlay.GetPrim().IsValid() parent = raster_overlay.GetPrim().GetParent() assert parent.IsA(CesiumTileset) tileset_prim = CesiumTileset.Get(stage, parent.GetPath()) tileset_prim.GetRasterOverlayBindingRel().AddTarget(raster_overlay_path) raster_overlay.GetIonAssetIdAttr().Set(asset_id) raster_overlay.GetIonAccessTokenAttr().Set(access_token) return raster_overlay_path @staticmethod def _create_camera(path: str) -> str: stage = omni.usd.get_context().get_stage() if stage.GetPrimAtPath(path): return path camera = UsdGeom.Camera.Define(stage, path) assert camera.GetPrim().IsValid() camera.GetClippingRangeAttr().Set(Gf.Vec2f(1.0, 100000000.0)) return path @staticmethod def _get_raster_overlay_path(tileset_path: str, raster_overlay_name: str) -> str: return Sdf.Path(tileset_path).AppendPath(raster_overlay_name).pathString @staticmethod def _set_georeference(longitude: float, latitude: float, height: float): stage = omni.usd.get_context().get_stage() cesium_georeference = CesiumGeoreference.Get(stage, CESIUM_GEOREFERENCE_PRIM_PATH) assert cesium_georeference.GetPrim().IsValid() cesium_georeference.GetGeoreferenceOriginLongitudeAttr().Set(longitude) cesium_georeference.GetGeoreferenceOriginLatitudeAttr().Set(latitude) cesium_georeference.GetGeoreferenceOriginHeightAttr().Set(height) def _set_camera( self, translate: Gf.Vec3d, rotate: Gf.Vec3f, focal_length: float, horizontal_aperture: float, vertical_aperture: float, ): stage = omni.usd.get_context().get_stage() viewport = get_active_viewport() viewport.set_active_camera(self._camera_path) camera = UsdGeom.Camera.Get(stage, self._camera_path) camera.GetFocalLengthAttr().Set(focal_length) camera.GetHorizontalApertureAttr().Set(horizontal_aperture) camera.GetVerticalApertureAttr().Set(vertical_aperture) xform_common_api = UsdGeom.XformCommonAPI(camera.GetPrim()) xform_common_api.SetTranslate(translate) xform_common_api.SetRotate(rotate, UsdGeom.XformCommonAPI.RotationOrderYXZ) @staticmethod def _get_tileset(path: str) -> CesiumTileset: stage = omni.usd.get_context().get_stage() tileset = CesiumTileset.Get(stage, path) assert tileset.GetPrim().IsValid() return tileset @staticmethod def _get_cesium_data() -> CesiumData: stage = omni.usd.get_context().get_stage() cesium_data = CesiumData.Get(stage, CESIUM_DATA_PRIM_PATH) assert cesium_data.GetPrim().IsValid() return cesium_data @staticmethod def _remove_prim(path: str): stage = omni.usd.get_context().get_stage() stage.RemovePrim(path) def _setup_location_new_york_city(self): self._set_georeference(-74.0060, 40.7128, 50.0) self._set_camera( Gf.Vec3d(-176516.8372437113, 33877.019622553846, 197777.19771945066), Gf.Vec3f(-7.9392824, -37.71652, -6.0970836), 18.14756, 20.955, 15.2908, ) def _setup_location_paris(self): self._set_georeference(2.3522, 48.8566, 100.0) self._set_camera( Gf.Vec3d(-285275.1368718885, 780.3607448845705, 35392.91845506678), Gf.Vec3f(0.46399376, 65.245544, -1.0061567), 18.14756, 20.955, 15.2908, ) def _setup_location_grand_canyon(self): self._set_georeference(-112.3535, 36.2679, 2100.0) self._set_camera( Gf.Vec3d(-339866.7567928189, 27967.440239271935, -59650.894693908194), Gf.Vec3f(5.532731, -129.35608, -6.704948), 18.14756, 20.955, 15.2908, ) def _view_new_york_city(self, _e: carb.events.IEvent): self._logger.warning("View New York City") self._clear_scene() self._setup_location_new_york_city() tileset_path = self._create_tileset_ion("/Cesium_World_Terrain", 1, ION_ACCESS_TOKEN) self._create_raster_overlay_ion( self._get_raster_overlay_path(tileset_path, "Bing_Maps_Aerial_Imagery"), 2, ION_ACCESS_TOKEN, ) self._load_tileset(tileset_path, self._tileset_loaded) def _view_paris(self, _e: carb.events.IEvent): self._logger.warning("View Paris") self._clear_scene() self._setup_location_paris() tileset_path = self._create_tileset_ion("/Cesium_World_Terrain", 1, ION_ACCESS_TOKEN) self._create_raster_overlay_ion( self._get_raster_overlay_path(tileset_path, "Bing_Maps_Aerial_Imagery"), 2, ION_ACCESS_TOKEN, ) self._load_tileset(tileset_path, self._tileset_loaded) def _view_grand_canyon(self, _e: carb.events.IEvent): self._logger.warning("View Grand Canyon") self._clear_scene() self._setup_location_grand_canyon() tileset_path = self._create_tileset_ion("/Cesium_World_Terrain", 1, ION_ACCESS_TOKEN) self._create_raster_overlay_ion( self._get_raster_overlay_path(tileset_path, "Bing_Maps_Aerial_Imagery"), 2, ION_ACCESS_TOKEN, ) self._load_tileset(tileset_path, self._tileset_loaded) def _view_tour(self, _e: carb.events.IEvent): self._logger.warning("View Tour") self._clear_scene() tileset_path = self._create_tileset_ion("/Cesium_World_Terrain", 1, ION_ACCESS_TOKEN) self._create_raster_overlay_ion( self._get_raster_overlay_path(tileset_path, "Bing_Maps_Aerial_Imagery"), 2, ION_ACCESS_TOKEN, ) def tour_stop_0(): self._setup_location_new_york_city() def tour_stop_1(): self._setup_location_paris() def tour_stop_2(): self._setup_location_grand_canyon() tour = Tour(self, [tour_stop_0, tour_stop_1, tour_stop_2], self._tileset_loaded) self._load_tileset(tileset_path, tour.tour_stop_loaded) def _view_new_york_city_google(self, _e: carb.events.IEvent): self._logger.warning("View New York City Google") self._clear_scene() self._setup_location_new_york_city() tileset_path = self._create_tileset_google() self._load_tileset(tileset_path, self._tileset_loaded) def _view_paris_google(self, _e: carb.events.IEvent): self._logger.warning("View Paris Google") self._clear_scene() self._setup_location_paris() tileset_path = self._create_tileset_google() self._load_tileset(tileset_path, self._tileset_loaded) def _view_grand_canyon_google(self, _e: carb.events.IEvent): self._logger.warning("View Grand Canyon Google") self._clear_scene() self._setup_location_grand_canyon() tileset_path = self._create_tileset_google() self._load_tileset(tileset_path, self._tileset_loaded) def _view_tour_google(self, _e: carb.events.IEvent): self._logger.warning("View Tour Google") self._clear_scene() tileset_path = self._create_tileset_google() def tour_stop_0(): self._setup_location_new_york_city() def tour_stop_1(): self._setup_location_paris() def tour_stop_2(): self._setup_location_grand_canyon() tour = Tour(self, [tour_stop_0, tour_stop_1, tour_stop_2], self._tileset_loaded) self._load_tileset(tileset_path, tour.tour_stop_loaded) def _load_tileset(self, tileset_path: str, tileset_loaded: Callable): tileset = self._get_tileset(tileset_path) cesium_data = self._get_cesium_data() assert self._performance_window is not None bus = app.get_app().get_message_bus_event_stream() tileset_loaded_event = carb.events.type_from_string("cesium.omniverse.TILESET_LOADED") self._tileset_loaded_subscription = bus.create_subscription_to_pop_by_type( tileset_loaded_event, tileset_loaded ) random_colors = self._performance_window.get_random_colors() forbid_holes = self._performance_window.get_forbid_holes() frustum_culling = self._performance_window.get_frustum_culling() main_thread_loading_time_limit = self._performance_window.get_main_thread_loading_time_limit_model() cesium_data.GetDebugRandomColorsAttr().Set(random_colors) tileset.GetForbidHolesAttr().Set(forbid_holes) tileset.GetEnableFrustumCullingAttr().Set(frustum_culling) tileset.GetMainThreadLoadingTimeLimitAttr().Set(main_thread_loading_time_limit) self._tileset_path = tileset_path self._active = True self._start_time = time.time() self._fps_sampler.start() def _tileset_loaded(self, _e: carb.events.IEvent): self._stop() duration = self._get_duration() self._update_duration_ui(duration) self._update_fps_mean_ui(self._fps_sampler.get_mean()) self._update_fps_median_ui(self._fps_sampler.get_median()) self._update_fps_low_ui(self._fps_sampler.get_low()) self._update_fps_high_ui(self._fps_sampler.get_high()) self._logger.warning("Loaded in {} seconds".format(duration)) def _get_duration(self) -> float: current_time = time.time() duration = current_time - self._start_time return duration def _update_duration_ui(self, value: float): if self._performance_window is not None: self._performance_window.set_duration(value) def _update_fps_ui(self, value: float): if self._performance_window is not None: self._performance_window.set_fps(value) def _update_fps_mean_ui(self, value: float): if self._performance_window is not None: self._performance_window.set_fps_mean(value) def _update_fps_median_ui(self, value: float): if self._performance_window is not None: self._performance_window.set_fps_median(value) def _update_fps_low_ui(self, value: float): if self._performance_window is not None: self._performance_window.set_fps_low(value) def _update_fps_high_ui(self, value: float): if self._performance_window is not None: self._performance_window.set_fps_high(value) def _clear_scene(self): self._stop() self._update_duration_ui(0.0) self._update_fps_ui(0.0) self._update_fps_mean_ui(0.0) self._update_fps_median_ui(0.0) self._update_fps_low_ui(0.0) self._update_fps_high_ui(0.0) if self._tileset_path is not None: self._remove_prim(self._tileset_path) def _on_stop(self, _e: carb.events.IEvent): self._stop() def _stop(self): self._active = False self._fps_sampler.stop() if self._tileset_loaded_subscription is not None: self._tileset_loaded_subscription.unsubscribe() self._tileset_loaded_subscription = None class Tour: def __init__(self, ext: CesiumPerformanceExtension, tour_stops: List[Callable], tour_complete: Callable): self._ext: CesiumPerformanceExtension = ext self._tour_stops: List[Callable] = tour_stops self._tour_complete: Callable = tour_complete self._current_stop: int = 0 self._duration: float = 0.0 assert len(tour_stops) > 0 tour_stops[0]() def tour_stop_loaded(self, _e: carb.events.IEvent): duration = self._ext._get_duration() current_duration = duration - self._duration self._duration = duration self._ext._logger.warning("Tour stop {} loaded in {} seconds".format(self._current_stop, current_duration)) if self._current_stop == len(self._tour_stops) - 1: self._tour_complete(_e) else: self._current_stop += 1 self._tour_stops[self._current_stop]()

Python

CesiumGS/cesium-omniverse/apps/exts/cesium.performance.app/cesium/performance/app/performance_window.py

import logging import carb.events import omni.kit.app as app import omni.ui as ui from cesium.omniverse.bindings import ICesiumOmniverseInterface RANDOM_COLORS_TEXT = "Random colors" FORBID_HOLES_TEXT = "Forbid holes" FRUSTUM_CULLING_TEXT = "Frustum culling" TRACING_ENABLED_TEXT = "Tracing enabled" MAIN_THREAD_LOADING_TIME_LIMIT_TEXT = "Main thread loading time limit (ms)" NEW_YORK_CITY_TEXT = "New York City" PARIS_TEXT = "Paris" GRAND_CANYON_TEXT = "Grand Canyon" TOUR_TEXT = "Tour" NEW_YORK_CITY_GOOGLE_TEXT = "New York City (Google)" PARIS_GOOGLE_TEXT = "Paris (Google)" GRAND_CANYON_GOOGLE_TEXT = "Grand Canyon (Google)" TOUR_GOOGLE_TEXT = "Tour (Google)" DURATION_TEXT = "Duration (seconds)" FPS_TEXT = "FPS" FPS_MEAN_TEXT = "FPS (mean)" FPS_MEDIAN_TEXT = "FPS (median)" FPS_LOW_TEXT = "FPS (low)" FPS_HIGH_TEXT = "FPS (high)" class CesiumPerformanceWindow(ui.Window): WINDOW_NAME = "Cesium Performance Testing" MENU_PATH = f"Window/Cesium/{WINDOW_NAME}" def __init__(self, cesium_omniverse_interface: ICesiumOmniverseInterface, **kwargs): super().__init__(CesiumPerformanceWindow.WINDOW_NAME, **kwargs) self._cesium_omniverse_interface = cesium_omniverse_interface self._logger = logging.getLogger(__name__) self._random_colors_checkbox_model = ui.SimpleBoolModel(False) self._forbid_holes_checkbox_model = ui.SimpleBoolModel(False) self._frustum_culling_checkbox_model = ui.SimpleBoolModel(True) self._main_thread_loading_time_limit_model = ui.SimpleFloatModel(0.0) self._duration_model = ui.SimpleFloatModel(0.0) self._fps_model = ui.SimpleFloatModel(0.0) self._fps_mean_model = ui.SimpleFloatModel(0.0) self._fps_median_model = ui.SimpleFloatModel(0.0) self._fps_low_model = ui.SimpleFloatModel(0.0) self._fps_high_model = ui.SimpleFloatModel(0.0) self.frame.set_build_fn(self._build_fn) def destroy(self) -> None: super().destroy() def _build_fn(self): with ui.VStack(spacing=10): with ui.VStack(spacing=4): with ui.HStack(height=16): ui.Label("Options", height=0) ui.Spacer() for label, model in [ (RANDOM_COLORS_TEXT, self._random_colors_checkbox_model), (FORBID_HOLES_TEXT, self._forbid_holes_checkbox_model), (FRUSTUM_CULLING_TEXT, self._frustum_culling_checkbox_model), ]: with ui.HStack(height=0): ui.Label(label, height=0) ui.CheckBox(model) with ui.HStack(height=0): ui.Label(MAIN_THREAD_LOADING_TIME_LIMIT_TEXT, height=0) ui.StringField(self._main_thread_loading_time_limit_model) with ui.HStack(height=16): tracing_label = ui.Label(TRACING_ENABLED_TEXT, height=0) tracing_label.set_tooltip( "Enabled when the project is configured with -D CESIUM_OMNI_ENABLE_TRACING=ON" ) enabled_string = "ON" if self._cesium_omniverse_interface.is_tracing_enabled() else "OFF" ui.Label(enabled_string, height=0) with ui.VStack(spacing=0): ui.Label("Scenarios", height=16) for label, callback in [ (NEW_YORK_CITY_TEXT, self._view_new_york_city), (PARIS_TEXT, self._view_paris), (GRAND_CANYON_TEXT, self._view_grand_canyon), (TOUR_TEXT, self._view_tour), (NEW_YORK_CITY_GOOGLE_TEXT, self._view_new_york_city_google), (PARIS_GOOGLE_TEXT, self._view_paris_google), (GRAND_CANYON_GOOGLE_TEXT, self._view_grand_canyon_google), (TOUR_GOOGLE_TEXT, self._view_tour_google), ]: ui.Button(label, height=20, clicked_fn=callback) with ui.VStack(spacing=4): with ui.HStack(height=16): ui.Label("Stats", height=0) ui.Spacer() for label, model in [ (DURATION_TEXT, self._duration_model), (FPS_TEXT, self._fps_model), (FPS_MEAN_TEXT, self._fps_mean_model), (FPS_MEDIAN_TEXT, self._fps_median_model), (FPS_LOW_TEXT, self._fps_low_model), (FPS_HIGH_TEXT, self._fps_high_model), ]: with ui.HStack(height=0): ui.Label(label, height=0) ui.StringField(model=model, height=0, read_only=True) with ui.VStack(spacing=0): ui.Button("Stop", height=16, clicked_fn=self._stop) def _view_new_york_city(self): bus = app.get_app().get_message_bus_event_stream() view_new_york_city_event = carb.events.type_from_string("cesium.performance.VIEW_NEW_YORK_CITY") bus.push(view_new_york_city_event) def _view_paris(self): bus = app.get_app().get_message_bus_event_stream() view_paris_event = carb.events.type_from_string("cesium.performance.VIEW_PARIS") bus.push(view_paris_event) def _view_grand_canyon(self): bus = app.get_app().get_message_bus_event_stream() view_grand_canyon_event = carb.events.type_from_string("cesium.performance.VIEW_GRAND_CANYON") bus.push(view_grand_canyon_event) def _view_tour(self): bus = app.get_app().get_message_bus_event_stream() view_tour_event = carb.events.type_from_string("cesium.performance.VIEW_TOUR") bus.push(view_tour_event) def _view_new_york_city_google(self): bus = app.get_app().get_message_bus_event_stream() view_new_york_city_google_event = carb.events.type_from_string("cesium.performance.VIEW_NEW_YORK_CITY_GOOGLE") bus.push(view_new_york_city_google_event) def _view_paris_google(self): bus = app.get_app().get_message_bus_event_stream() view_paris_google_event = carb.events.type_from_string("cesium.performance.VIEW_PARIS_GOOGLE") bus.push(view_paris_google_event) def _view_grand_canyon_google(self): bus = app.get_app().get_message_bus_event_stream() view_grand_canyon_google_event = carb.events.type_from_string("cesium.performance.VIEW_GRAND_CANYON_GOOGLE") bus.push(view_grand_canyon_google_event) def _view_tour_google(self): bus = app.get_app().get_message_bus_event_stream() view_tour_google_event = carb.events.type_from_string("cesium.performance.VIEW_TOUR_GOOGLE") bus.push(view_tour_google_event) def _stop(self): bus = app.get_app().get_message_bus_event_stream() stop_event = carb.events.type_from_string("cesium.performance.STOP") bus.push(stop_event) def get_random_colors(self) -> bool: return self._random_colors_checkbox_model.get_value_as_bool() def get_forbid_holes(self) -> bool: return self._forbid_holes_checkbox_model.get_value_as_bool() def get_frustum_culling(self) -> bool: return self._frustum_culling_checkbox_model.get_value_as_bool() def get_main_thread_loading_time_limit_model(self) -> float: return self._main_thread_loading_time_limit_model.get_value_as_float() def set_duration(self, value: float): self._duration_model.set_value(value) def set_fps(self, value: float): self._fps_model.set_value(value) def set_fps_mean(self, value: float): self._fps_mean_model.set_value(value) def set_fps_median(self, value: float): self._fps_median_model.set_value(value) def set_fps_low(self, value: float): self._fps_low_model.set_value(value) def set_fps_high(self, value: float): self._fps_high_model.set_value(value)

Python

CesiumGS/cesium-omniverse/apps/exts/cesium.performance.app/cesium/performance/app/fps_sampler.py

import array import time import carb.events import omni.kit.app as app import statistics from omni.kit.viewport.utility import get_active_viewport FREQUENCY_IN_SECONDS: float = 0.025 class FpsSampler: def __init__( self, ): self._last_time: float = 0.0 self._active: bool = False self._fps = 0.0 self._samples = array.array("f") self._median: float = 0.0 self._mean: float = 0.0 self._low: float = 0.0 self._high: float = 0.0 self._viewport = get_active_viewport() update_stream = app.get_app().get_update_event_stream() self._update_frame_subscription = update_stream.create_subscription_to_pop( self._on_update_frame, name="cesium.performance.ON_UPDATE_FRAME" ) def __del__(self): self.destroy() def destroy(self): if self._update_frame_subscription is not None: self._update_frame_subscription.unsubscribe() self._update_frame_subscription = None def start(self): self._last_time = time.time() self._active = True def stop(self): self._active = False if len(self._samples) > 0: self._mean = statistics.mean(self._samples) self._median = statistics.median(self._samples) self._low = min(self._samples) self._high = max(self._samples) self._samples = array.array("f") def get_mean(self): assert not self._active return self._mean def get_median(self): assert not self._active return self._median def get_low(self): assert not self._active return self._low def get_high(self): assert not self._active return self._high def get_fps(self): assert self._active return self._fps def _on_update_frame(self, _e: carb.events.IEvent): if not self._active: return current_time = time.time() elapsed = current_time - self._last_time if elapsed > FREQUENCY_IN_SECONDS: fps = self._viewport.fps self._samples.append(fps) self._last_time = current_time self._fps = fps

Python

CesiumGS/cesium-omniverse/scripts/copy_to_exts.py

""" This file is a post build step run by cmake that copies over the CHANGES.md and related resources to the exts/docs folder for packaging. """ import re import shutil from dataclasses import dataclass from pathlib import Path from typing import List @dataclass class PathPair: """ Represents a source and relative destination pair. :arg source: The source path for the file. :arg relative_destination: The relative destination for the file. """ source: Path relative_destination: str = "" def find_resources(path: Path) -> List[PathPair]: """ Finds all resources within a file and returns them as a list of PathPairs. The search is done using a regular expression looking for all links that contain the substring "docs/resources". NOTE: This **only** works with relative paths. Absolute paths in the file read will fail. :param path: The file to search. :return: A list containing PathPairs of all resources found in the file. """ regex = re.compile(r"!\[.*]\((.*docs/(resources.*?))\)") root_path = path.parent.resolve() resources: List[PathPair] = [] with open(path.resolve(), "r") as f: for line in f.readlines(): match = regex.search(line) if match is not None: source = root_path.joinpath(match.group(1)) relative_destination = match.group(2) resources.append(PathPair(source, relative_destination)) return resources def copy_to_destination(pair: PathPair, destination: Path) -> None: """ Copies the file based on the path and relative destination contained in the pair. NOTE: This uses shutils so if you're on a version of Python older than 3.8 this will be slow. :param pair: The PathPair for the copy operation. :param destination: The path of the destination directory. """ true_destination = ( destination.joinpath(pair.relative_destination) if pair.relative_destination != "" else destination ) # In the event that true_destination isn't a direct file path, we need to take the source filename and append it # to true_destination. if true_destination.is_dir(): true_destination = true_destination.joinpath(pair.source.name) true_destination.parent.mkdir(parents=True, exist_ok=True) shutil.copyfile(pair.source, true_destination) def main() -> int: project_root = Path(__file__).parent.parent destination = project_root.joinpath("exts/cesium.omniverse/doc") changes_path = project_root.joinpath("CHANGES.md") try: # Turning off formatting here for readability. # fmt: off paths_to_copy: List[PathPair] = [ PathPair(changes_path), *find_resources(changes_path) ] # fmt: on for pair in paths_to_copy: copy_to_destination(pair, destination) except Exception as e: print(e) return 1 return 0 exit(main())

Python

CesiumGS/cesium-omniverse/scripts/vscode_build.py

#!/usr/bin/env python3 import sys import subprocess import multiprocessing import os import platform import shutil try: import pty except Exception: pass import webbrowser from typing import List, NamedTuple def is_windows(): return platform.system() == "Windows" def is_linux(): return platform.system() == "Linux" def process(cmd: List[str]): print("Run: " + " ".join(cmd)) if is_linux(): # Using pty instead of subprocess to get terminal colors result = pty.spawn(cmd) if result != 0: sys.exit(result) else: p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True) for line in p.stdout: print(line, end="") p.communicate() if p.returncode != 0: raise subprocess.CalledProcessError(p.returncode, p.args) def open_browser(html: str): html = os.path.realpath(html) html = "file://{}".format(html) webbrowser.open(html, new=2) class Args(NamedTuple): task: str build_folder: str build_type: str compiler_name: str tracing: bool verbose: bool kit_debug: bool parallel: bool build_only: bool def c_compiler_to_cpp_compiler(compiler_name: str): cpp = compiler_name cpp = cpp.replace("gcc", "g++") cpp = cpp.replace("clang", "clang++") return cpp def get_cmake_configure_command(args: Args): cmd = ["cmake", "-B", args.build_folder] # Release is the default build type, so no need to pass CMAKE_BUILD_TYPE if args.build_type != "Release": cmd.extend(("-D", "CMAKE_BUILD_TYPE={}".format(args.build_type))) if args.tracing: cmd.extend(("-D", "CESIUM_OMNI_ENABLE_TRACING=ON")) if args.kit_debug: cmd.extend(("-D", "CESIUM_OMNI_USE_NVIDIA_DEBUG_LIBRARIES=ON")) if is_windows(): cmd.extend(("-G", "Ninja Multi-Config", "-D", "CMAKE_C_COMPILER=cl", "-D", "CMAKE_CXX_COMPILER=cl")) return cmd if args.compiler_name == "default": return cmd c_compiler = args.compiler_name cpp_compiler = c_compiler_to_cpp_compiler(args.compiler_name) cmd.extend(("-D", "CMAKE_C_COMPILER={}".format(c_compiler))) cmd.extend(("-D", "CMAKE_CXX_COMPILER={}".format(cpp_compiler))) return cmd def get_cmake_build_command(args: Args, target: str): cmd = ["cmake", "--build", args.build_folder] if is_windows(): cmd.extend(("--config", args.build_type)) if target: cmd.extend(("--target", target)) if args.verbose: cmd.append("--verbose") if args.parallel: # use every core except one so that computer doesn't go too slow cores = max(1, multiprocessing.cpu_count() - 1) cmd.extend(("--parallel", str(cores))) return cmd def get_cmake_install_command(args: Args): cmd = ["cmake", "--install", args.build_folder] if is_windows(): cmd.extend(("--config", args.build_type)) return cmd def configure(args: Args): configure_cmd = get_cmake_configure_command(args) process(configure_cmd) def build(args: Args): build_cmd = get_cmake_build_command(args, None) install_kit_cmd = get_cmake_install_command(args) if not args.build_only: configure_cmd = get_cmake_configure_command(args) process(configure_cmd) process(build_cmd) process(install_kit_cmd) def coverage(args: Args): if is_windows(): print("Coverage is not supported for Windows") return configure_cmd = get_cmake_configure_command(args) build_cmd = get_cmake_build_command(args, "generate-coverage") html = "{}/coverage/index.html".format(args.build_folder) process(configure_cmd) process(build_cmd) open_browser(html) def documentation(args: Args): configure_cmd = get_cmake_configure_command(args) documentation_cmd = get_cmake_build_command(args, "generate-documentation") html = "{}/docs/html/index.html".format(args.build_folder) process(configure_cmd) process(documentation_cmd) open_browser(html) def install(args: Args): configure_cmd = get_cmake_configure_command(args) install_cmd = get_cmake_build_command(args, "install") process(configure_cmd) process(install_cmd) def clean(args: Args): if os.path.exists(args.build_folder) and os.path.isdir(args.build_folder): shutil.rmtree(args.build_folder) def format(args: Args): format_cmd = get_cmake_build_command(args, "clang-format-fix-all") process(format_cmd) def lint(args: Args): clang_tidy_cmd = get_cmake_build_command(args, "clang-tidy") process(clang_tidy_cmd) def lint_fix(args: Args): clang_tidy_cmd = get_cmake_build_command(args, "clang-tidy-fix") process(clang_tidy_cmd) def dependency_graph(args: Args): configure_cmd = get_cmake_configure_command(args) conan_packages_path = os.path.join(args.build_folder, "Conan_Packages") dependency_html = os.path.join(args.build_folder, "dependency_graph.html") dependency_cmd = ["conan", "info", args.build_folder, "-if", conan_packages_path, "--graph", dependency_html] process(configure_cmd) process(dependency_cmd) open_browser(dependency_html) def get_build_folder_name(build_type: str, compiler_name: str): folder_name = "build" if is_windows(): return folder_name if build_type != "Release": folder_name += "-{}".format(build_type.lower()) if compiler_name != "default": folder_name += "-{}".format(compiler_name) return folder_name def get_bin_folder_name(build_type: str, compiler_name: str): build_folder_name = get_build_folder_name(build_type, compiler_name) if is_windows(): bin_folder_name = "{}/bin/{}".format(build_folder_name, build_type) else: bin_folder_name = "{}/bin".format(build_folder_name) return bin_folder_name def main(av: List[str]): print(av) task = av[0] build_type = av[1] if len(av) >= 2 else "Release" compiler_name = av[2] if len(av) >= 3 else "default" build_folder = get_build_folder_name(build_type, compiler_name) tracing = True if len(av) >= 4 and av[3] == "--tracing" else False verbose = True if len(av) >= 4 and av[3] == "--verbose" else False kit_debug = True if len(av) >= 4 and av[3] == "--kit-debug" else False parallel = False if len(av) >= 5 and av[4] == "--no-parallel" else True build_only = True if len(av) >= 4 and av[3] == "--build-only" else False args = Args(task, build_folder, build_type, compiler_name, tracing, verbose, kit_debug, parallel, build_only) if task == "configure": configure(args) elif task == "build": build(args) elif task == "clean": clean(args) elif task == "coverage": coverage(args) elif task == "documentation": documentation(args) elif task == "install": install(args) elif task == "format": format(args) elif task == "lint": lint(args) elif task == "lint-fix": lint_fix(args) elif task == "dependency-graph": dependency_graph(args) if __name__ == "__main__": try: main(sys.argv[1:]) except Exception as e: print(e) exit(1)

Python

CesiumGS/cesium-omniverse/scripts/clang_tidy.py

#!/usr/bin/env python3 import argparse import sys import shutil from utils import utils from typing import List def parse_args(av: List[str]): parser = argparse.ArgumentParser(description="Run / check clang-tidy on staged cpp files.") parser.add_argument( "--clang-tidy-executable", help="Specific clang-tidy binary to use.", action="store", required=False ) return parser.parse_known_args(av) def main(av: List[str]): known_args, clang_tidy_args = parse_args(av) project_root = utils.get_project_root() clang_tidy_executable = known_args.clang_tidy_executable if not clang_tidy_executable: clang_tidy_executable = shutil.which("clang-tidy") project_root = utils.get_project_root() candidate_files = [ f.as_posix() for f in utils.get_staged_git_files(project_root) if f.suffix in utils.CPP_EXTENSIONS ] cmd = [clang_tidy_executable] + clang_tidy_args + candidate_files if len(candidate_files) > 0: print("Running clang-tidy") utils.run_command_and_echo_on_error(cmd) else: print("Skipping clang-tidy (no cpp files staged)") if __name__ == "__main__": main(sys.argv[1:])

Python

CesiumGS/cesium-omniverse/scripts/update_certs.py

#! /usr/bin/python3 """ Intended to be called in the This script updates the certificates used for any requests that use the core Context class. While some certs are available on the system, they may not be consistent or updated. This ensures all certs are uniform and up to date see: https://github.com/CesiumGS/cesium-omniverse/issues/306 """ import requests import sys import os def main(): # --- establish source/destination for certs --- if len(sys.argv) < 2: print("must provide a filepath for the updated certs") return -1 CERT_URL = "https://curl.se/ca/cacert.pem" CERT_FILE_PATH = sys.argv[1] # --- ensure directory structure exists ---- os.makedirs(os.path.dirname(CERT_FILE_PATH), exist_ok=True) # --- fetch and write the cert file ---- req = requests.get(CERT_URL) if req.status_code != 200: print(f"failed to fetch certificates from {CERT_URL}") return -1 # explicit encoding is required for windows with open(CERT_FILE_PATH, "w", encoding="utf-8") as f: f.write(req.text) return 0 if __name__ == "__main__": sys.exit(main())

Python

CesiumGS/cesium-omniverse/scripts/generate_third_party_license_json.py

#!/usr/bin/env python3 import json import os import shlex import subprocess import argparse from typing import List import sys from pathlib import Path def main(argv: List[str]): args = parse_args(argv) project_dir = args.project_dir build_dir = args.build_dir libraries_to_skip = args.skip.split(',') cmd = "conan info {} -if {} -j".format(build_dir, os.path.join(build_dir, 'Conan_Packages')) cmd = shlex.split(cmd, posix=(os.name == 'posix')) try: output = subprocess.check_output(cmd).decode('utf-8') json_output = output.split(os.linesep, 2)[1] third_party_json = json.loads(json_output) except subprocess.CalledProcessError as error: cmd_string = ' '.join(error.cmd) raise RuntimeError('Conan command \'{}\' failed with error {}. Third party JSON creation aborted.' .format(cmd_string, error.returncode)) third_party_json = generate_conan_third_party_json( third_party_json, libraries_to_skip) third_party_extra_json = json.loads(Path(project_dir).joinpath( 'ThirdParty.extra.json').read_text()) # Handle ThirdParty.extra.json for element in third_party_extra_json: if 'override' in element: found_match = False for match in third_party_json: if match['name'] == element['name']: found_match = True break if found_match: del element['override'] third_party_json.remove(match) combined = {**match, **element} third_party_json.append(combined) else: raise RuntimeError('Could not find library to override: \'{}\'. Third party JSON creation aborted.' .format(element.name)) else: third_party_json.append(element) third_party_json.sort(key=lambda obj: obj['name'].lower()) third_party_json_path = os.path.join(project_dir, 'ThirdParty.json') with open(third_party_json_path, 'w', newline='\n') as json_file: json.dump(third_party_json, json_file, indent=4) json_file.write('\n') def parse_args(argv: List[str]): parser = argparse.ArgumentParser( description='Create third party license json from Conan info and ThirdParty.extra.json.' ) parser.add_argument('--project-dir', help='The project directory.', action='store', required='true' ) parser.add_argument('--build-dir', help='The CMake build directory. From CMake variable PROJECT_BINARY_DIR.', action='store', required='true' ) parser.add_argument('--skip', help='Comma separated list of libraries to skip.', action='store', ) return parser.parse_args(argv) def generate_conan_third_party_json(third_party_json, libraries_to_skip): result = [] for library in third_party_json: # skip the `conanfile` object, as its NOT a real third party library if library['reference'] == 'conanfile.txt': continue display_name = library['display_name'] url = library['homepage'] license = library['license'] licenses = [] for lc in license: licenses.extend(lc.split(', ')) display_name_pieces = display_name.split('/') name = display_name_pieces[0] version = display_name_pieces[1] # skip libraries that aren't included in the executable if name in libraries_to_skip: continue result.append({ 'name': name, 'license': licenses, 'version': version, 'url': url }) return result if __name__ == '__main__': main(sys.argv[1:])

Python

CesiumGS/cesium-omniverse/scripts/clang_format.py

#!/usr/bin/env python3 import argparse import sys import subprocess import shutil import shlex from utils import utils from pathlib import Path from typing import List def clang_format_on_path(clang_format_binary: str, absolute_path: Path) -> str: cmd = "{} -style=file {}".format(shlex.quote(clang_format_binary), shlex.quote(str(absolute_path))) cmd = shlex.split(cmd) result = subprocess.check_output(cmd) return result.decode("utf-8", "replace") def clang_format_in_place(clang_format_binary: str, absolute_path: Path): cmd = "{} -style=file -i {}".format(shlex.quote(clang_format_binary), shlex.quote(str(absolute_path))) cmd = shlex.split(cmd) subprocess.check_output(cmd) def parse_args(av: List[str]): parser = argparse.ArgumentParser(description="Run / check clang-formatting.") parser.add_argument( "--clang-format-executable", help="Specific clang-format binary to use.", action="store", required=False ) parser.add_argument( "--source-directories", help='Directories (relative to project root) to recursively scan for cpp files (e.g "src", "include"...)', nargs="+", required=True, ) run_type = parser.add_mutually_exclusive_group(required=True) run_type.add_argument( "--fix", help="Apply clang-format formatting to source in-place (destructive)", action="store_true" ) run_type.add_argument("--check", help="Check if source matches clang-format rules", action="store_true") scope_type = parser.add_mutually_exclusive_group(required=True) scope_type.add_argument("--all", help="Process all valid source files.", action="store_true") scope_type.add_argument("--staged", help="Process only staged source files.", action="store_true") return parser.parse_args(av) def main(av: List[str]): if not shutil.which("git"): raise RuntimeError("Could not find git in path") project_root_directory = utils.get_project_root() args = parse_args(av) # Use user provided clang_format binary if provided clang_format_binary = args.clang_format_executable if clang_format_binary: clang_format_binary = shutil.which(clang_format_binary) if not clang_format_binary: clang_format_binary = shutil.which("clang-format") if not clang_format_binary: raise RuntimeError("Could not find clang-format in system path") mode = "all" if args.all else "staged" source_directories = args.source_directories # Generate list of source_files to check / fix. source_files: List[utils.SourceFile] = utils.get_source_files(source_directories, args.all) failed_files: List[utils.FailedFile] = [] # Fix or check formatting for each file for src in source_files: absolute_path = project_root_directory.joinpath(src.relative_path) if args.check: old_text = ( absolute_path.read_text(encoding="utf-8") if not src.staged else utils.get_staged_file_text(src.relative_path) ) new_text = clang_format_on_path(clang_format_binary, absolute_path) diff = utils.unidiff_output(old_text, new_text) if diff != "": failed_files.append(utils.FailedFile(src.relative_path, diff)) else: clang_format_in_place(clang_format_binary, absolute_path) if len(source_files) == 0: print("clang-format ({} files): No files found, nothing to do.".format(mode)) sys.exit(0) if args.fix: print("Ran clang-format -style=file -i on {} files".format(mode)) sys.exit(0) if len(failed_files) == 0: print("clang-format ({} files) passes.".format(mode)) sys.exit(0) print("clang-format ({} files) failed on the following files: ".format(mode)) for failure in failed_files: print("{}".format(failure.relative_path)) print(failure.diff) sys.exit(len(failed_files)) if __name__ == "__main__": main(sys.argv[1:])

Python

CesiumGS/cesium-omniverse/scripts/copy_from_dir.py

import sys from pathlib import Path from shutil import copy2 # Broken out for formatting reasons, since tabs within HEREDOCs will be output. usage_message = """Invalid arguments. Usage: copy_from_dir.py <glob-pattern> <source-dir-path> <destination-dir-path> Please fix your command and try again. """ def main(): if len(sys.argv) < 4: print(usage_message) return 1 glob_pattern: str = sys.argv[1] source_dir = Path(sys.argv[2]).resolve() dest_dir = Path(sys.argv[3]).resolve() print(f'Performing file copy with glob pattern "{glob_pattern}"') print(f"\tSource: {source_dir}") print(f"\tDestination: {dest_dir}\n") source_files = source_dir.glob(glob_pattern) for f in source_files: source_path = source_dir / f copy2(source_path, dest_dir, follow_symlinks=True) print(f"Copied {source_path}") return 0 if __name__ == "__main__": sys.exit(main())

Python

CesiumGS/cesium-omniverse/scripts/utils/utils.py

#!/usr/bin/env python3 import subprocess import shlex import os import glob import sys from pathlib import Path from typing import List, NamedTuple, Set import difflib CPP_EXTENSIONS = [".cpp", ".h", ".cxx", ".hxx", ".hpp", ".cc", ".inl"] def get_project_root() -> Path: try: cmd = shlex.split('git rev-parse --show-toplevel') output = subprocess.check_output( cmd).strip().decode('utf-8', 'replace') return Path(output) except subprocess.CalledProcessError: raise RuntimeError('command must be ran inside .git repo') def get_staged_git_files(project_root: Path) -> List[Path]: cmd = shlex.split("git diff --cached --name-only --diff-filter=ACMRT") paths = subprocess.check_output(cmd).decode('utf-8').splitlines() return [project_root.joinpath(p) for p in paths] def get_cmake_build_directory(project_root: Path): glob_pattern = project_root.joinpath("**/CMakeCache.txt").as_posix() results = glob.glob(glob_pattern, recursive=True) if len(results) == 0: err = "Could not find CMakeCache.txt in {}. Generate CMake configuration first.".format( project_root) raise RuntimeError(err) cmake_build_directory = os.path.realpath( os.path.join(project_root, results[0], "..")) return cmake_build_directory def run_cmake_target(cmake_build_directory, target): path = shlex.quote(cmake_build_directory) cmd = shlex.split("cmake --build {} --target {}".format(path, target)) run_command_and_echo_on_error(cmd) def run_command_and_echo_on_error(cmd: List[str]): try: subprocess.run(cmd, check=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) except subprocess.CalledProcessError as e: print("Command \"{}\" failed:".format(' '.join(cmd))) print(e.output.decode('utf-8')) sys.exit(1) class SourceFile(NamedTuple): relative_path: Path staged: bool class FailedFile(NamedTuple): relative_path: Path diff: str def get_source_files(source_directories: List[str], modeIsAll: bool) -> List[SourceFile]: project_root = get_project_root() staged_rel_paths = get_staged_rel_paths() source_files = [] for directory in source_directories: for extension in CPP_EXTENSIONS: glob_pattern = os.path.join( project_root, directory, "**/*" + extension) glob_results = glob.glob(glob_pattern, recursive=True) for abs_path in glob_results: rel_path = Path(abs_path).relative_to(project_root) source_files.append(SourceFile( rel_path, rel_path in staged_rel_paths)) return list(filter(lambda source_file: source_file.staged or modeIsAll, source_files)) def get_staged_rel_paths() -> Set[str]: cmd = shlex.split("git diff --cached --name-only --diff-filter=ACMRT") staged_rel_paths = subprocess.check_output(cmd) staged_rel_paths = staged_rel_paths.decode('utf-8', 'replace') return set([Path(path) for path in staged_rel_paths.splitlines()]) def get_staged_file_text(relative_path: Path) -> str: cmd = "git show :{}".format(shlex.quote(str(relative_path.as_posix()))) cmd = shlex.split(cmd) output = subprocess.check_output(cmd).decode('utf-8', 'replace') return output COLOR_SUPPORT = False try: import colorama colorama.init() COLOR_SUPPORT = True def color_diff(diff): for line in diff: if line.startswith('+'): yield colorama.Fore.GREEN + line + colorama.Fore.RESET elif line.startswith('-'): yield colorama.Fore.RED + line + colorama.Fore.RESET elif line.startswith('^'): yield colorama.Fore.BLUE + line + colorama.Fore.RESET else: yield line except ImportError: pass def unidiff_output(expected: str, actual: str): expected = expected.splitlines(1) actual = actual.splitlines(1) diff = difflib.unified_diff(expected, actual) if COLOR_SUPPORT: diff = color_diff(diff) return ''.join(diff)

Python

CesiumGS/cesium-omniverse/extern/nvidia/scripts/install.py

import os import packmanapi import sys REPO_ROOT = os.path.join(os.path.dirname(os.path.realpath(__file__)), "..") KIT_SDK_FILE = os.path.join(REPO_ROOT, "deps/kit-sdk.packman.xml") TARGET_DEPS_FILE = os.path.join(REPO_ROOT, "deps/target-deps.packman.xml") if __name__ == "__main__": platform = sys.argv[2] packmanapi.pull(KIT_SDK_FILE, platform=platform) packmanapi.pull(TARGET_DEPS_FILE, platform=platform)

Python

XiaomingY/omni-ies-viewer/exts/IESViewer/IESViewer/extension.py

import omni.ext import omni.ui as ui from omni.kit.viewport.utility import get_active_viewport_window from .viewport_scene import ViewportSceneInfo # Any class derived from `omni.ext.IExt` in top level module (defined in `python.modules` of `extension.toml`) will be # instantiated when extension gets enabled and `on_startup(ext_id)` will be called. Later when extension gets disabled # on_shutdown() is called. class AimingToolExtension(omni.ext.IExt): # ext_id is current extension id. It can be used with extension manager to query additional information, like where # this extension is located on filesystem. def __init__(self) -> None: super().__init__() self.viewport_scene = None def on_startup(self, ext_id): viewport_window = get_active_viewport_window() self.viewport_scene = ViewportSceneInfo(viewport_window, ext_id) def on_shutdown(self): if self.viewport_scene: self.viewport_scene.destroy() self.viewport_scene = None

Python

XiaomingY/omni-ies-viewer/exts/IESViewer/IESViewer/viewport_scene.py

from omni.ui import scene as sc import omni.ui as ui from .object_info_manipulator import ObjInfoManipulator from .object_info_model import ObjInfoModel class ViewportSceneInfo(): """The Object Info Manipulator, placed into a Viewport""" def __init__(self, viewport_window, ext_id) -> None: self.scene_view = None self.viewport_window = viewport_window # NEW: Create a unique frame for our SceneView with self.viewport_window.get_frame(ext_id): # Create a default SceneView (it has a default camera-model) self.scene_view = sc.SceneView() # Add the manipulator into the SceneView's scene with self.scene_view.scene: ObjInfoManipulator(model=ObjInfoModel()) # Register the SceneView with the Viewport to get projection and view updates self.viewport_window.viewport_api.add_scene_view(self.scene_view) def __del__(self): self.destroy() def destroy(self): if self.scene_view: # Empty the SceneView of any elements it may have self.scene_view.scene.clear() # un-register the SceneView from Viewport updates if self.viewport_window: self.viewport_window.viewport_api.remove_scene_view(self.scene_view) # Remove our references to these objects self.viewport_window = None self.scene_view = None

Python

XiaomingY/omni-ies-viewer/exts/IESViewer/IESViewer/object_info_model.py

from pxr import Tf from pxr import Gf from pxr import Usd from pxr import UsdGeom from pxr import UsdShade from pxr import UsdLux from .IESReader import IESLight import os.path import numpy as np from omni.ui import scene as sc import omni.usd def _flatten_matrix(matrix: Gf.Matrix4d): m0, m1, m2, m3 = matrix[0], matrix[1], matrix[2], matrix[3] return [ m0[0], m0[1], m0[2], m0[3], m1[0], m1[1], m1[2], m1[3], m2[0], m2[1], m2[2], m2[3], m3[0], m3[1], m3[2], m3[3], ] class ObjInfoModel(sc.AbstractManipulatorModel): """ The model tracks the position and info of the selected object. """ class MatrixItem(sc.AbstractManipulatorItem): """ The Model Item represents the tranformation. It doesn't contain anything because we take the tranformation directly from USD when requesting. """ identity = [1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1] def __init__(self): super().__init__() self.value = self.identity.copy() class PositionItem(sc.AbstractManipulatorItem): """ The Model Item represents the position. It doesn't contain anything because we take the position directly from USD when requesting. """ def __init__(self) -> None: super().__init__() self.value = [0, 0, 0] class PositionList(sc.AbstractManipulatorItem): """ The Model Item represents the position. It doesn't contain anything because we take the position directly from USD when requesting. """ def __init__(self) -> None: super().__init__() self.value = [[0,0,0]] def __init__(self) -> None: super().__init__() # Current selected prim list self.prim = [] self.current_path = [] self.material_name = [] self.stage_listener = None self.horizontal_step = 15 self.vertical_step = 15 self.IESPoints = [ObjInfoModel.PositionList()] self.transformation = [ObjInfoModel.MatrixItem()] # Save the UsdContext name (we currently only work with a single Context) self.usd_context = self._get_context() # Track selection changes self.events = self.usd_context.get_stage_event_stream() self.stage_event_delegate = self.events.create_subscription_to_pop( self.on_stage_event, name="Object Info Selection Update" ) @property def _time(self): return Usd.TimeCode.Default() def _get_context(self) -> Usd.Stage: # Get the UsdContext we are attached to return omni.usd.get_context() #Update when light are transformed or modified def notice_changed(self, notice: Usd.Notice, stage: Usd.Stage) -> None: """Called by Tf.Notice. Used when the current selected object changes in some way.""" light_path = self.current_path if not light_path: return for p in notice.GetChangedInfoOnlyPaths(): prim_path = p.GetPrimPath().pathString #check if prim_path not in selected list but parent of prim_path is in selected list if prim_path not in light_path: if (True in (light_path_item.startswith(prim_path) for light_path_item in light_path)): if UsdGeom.Xformable.IsTransformationAffectedByAttrNamed(p.name): self._item_changed(self.transformation[0]) continue if UsdGeom.Xformable.IsTransformationAffectedByAttrNamed(p.name): self._item_changed(self.transformation[0]) #if light property changed such as ies file changed, update profile self._item_changed(self.transformation[0]) def _get_transform(self, time: Usd.TimeCode): """Returns world transform of currently selected object""" if not self.prim: return [ObjInfoModel.MatrixItem.identity.copy()] # Compute matrix from world-transform in USD #get transform matrix for each selected light world_xform_list = [UsdGeom.BasisCurves(prim).ComputeLocalToWorldTransform(time) for prim in self.prim] # Flatten Gf.Matrix4d to list return [_flatten_matrix(world_xform) for world_xform in world_xform_list] def get_item(self, identifier): if identifier == "IESPoints": return self.IESPoints if identifier == "transformation": return self.transformation def get_as_floats(self, item): if item == self.transformation: return self._get_transform(self._time) if item == self.IESPoints: return self.get_points(self._time) return [] #get ies points for each selected light def get_points(self, time: Usd.TimeCode): if not self.prim: return [[0,0,0]] allIESPoint = [] for prim in self.prim: iesFile = prim.GetAttribute('shaping:ies:file').Get() allIESPoint.append(IESLight(str(iesFile).replace('@', '')).points) return allIESPoint def on_stage_event(self, event): """Called by stage_event_stream. We only care about selection changes.""" if event.type == int(omni.usd.StageEventType.SELECTION_CHANGED): self.current_path = [] self.prim = [] primList = [] primPathList = [] usd_context = self._get_context() stage = usd_context.get_stage() if not stage: return prim_paths = usd_context.get_selection().get_selected_prim_paths() if not prim_paths: # This turns off the manipulator when everything is deselected self._item_changed(self.transformation[0]) return #select light with ies file applied. lightCount = 0 for i in prim_paths: prim = stage.GetPrimAtPath(i) if(UsdLux.Light(prim) and prim.GetAttribute('shaping:ies:file').Get() and not (prim.IsA(UsdLux.DistantLight))): primList.append(prim) primPathList.append(i) lightCount = lightCount +1 if(lightCount==0): if self.stage_listener: self.stage_listener.Revoke() self.stage_listener = None self._item_changed(self.transformation[0]) return if not self.stage_listener: # This handles camera movement self.stage_listener = Tf.Notice.Register(Usd.Notice.ObjectsChanged, self.notice_changed, stage) self.prim = primList self.current_path = primPathList # Position is changed because new selected object has a different position self._item_changed(self.transformation[0]) def destroy(self): self.events = None self.stage_event_delegate.unsubscribe()

Python

XiaomingY/omni-ies-viewer/exts/IESViewer/IESViewer/object_info_manipulator.py

from __future__ import division from omni.ui import scene as sc from omni.ui import color as cl import omni.ui as ui import numpy as np class ObjInfoManipulator(sc.Manipulator): """Manipulator that displays the object path and material assignment with a leader line to the top of the object's bounding box. """ def on_build(self): """Called when the model is changed and rebuilds the whole manipulator""" if not self.model: return IESPoints = self.model.get_as_floats(self.model.IESPoints) numHorizontal = int((360/self.model.horizontal_step)+1) primCount = 0 for transformation in self.model.get_as_floats(self.model.transformation): self.__root_xf = sc.Transform(transformation) with self.__root_xf: self._x_xform = sc.Transform() with self._x_xform: self._shape_xform = sc.Transform() IESPoint = IESPoints[primCount] numVertical = int(len(IESPoint)/numHorizontal) for index in range(0,numHorizontal): points = IESPoint[index*numVertical:(index+1)*numVertical] if(len(points)>0): sc.Curve(points.tolist(), thicknesses=[1.0], colors=[cl.yellow],tessellation=9) primCount = primCount+1 def on_model_updated(self, item): # Regenerate the manipulator self.invalidate()

Python

XiaomingY/omni-ies-viewer/exts/IESViewer/IESViewer/IESReader.py

import numpy as np import re import math #import matplotlib.pyplot as plt from scipy import interpolate import os.path #from mpl_toolkits.mplot3d.axes3d import Axes3D import omni.ext import omni.ui as ui omni.kit.pipapi.install("astropy") from astropy.coordinates import spherical_to_cartesian DEFAULT_HORIZONTAL_STEP = 15 DEFAULT_VERTICAL_STEP = 15 IES_MaxLength = 80 class IESLight(): def __init__(self,iesFile): # Current selected prim if iesFile and os.path.exists(iesFile): self.file = iesFile else: return self.width = 0 self.length = 0 self.radius = 0 all_values = self.readIESfile(self.file) verticalAngles,horizontalAngles,intensities,self.width,self.length,self.radius = self.getIESproperties(all_values) horizontalAnglesMirrored, intensityMirrored = self.mirrorAngles(horizontalAngles,intensities) horizontalResampled = np.arange(0, 361, DEFAULT_HORIZONTAL_STEP) verticalResampled = np.arange(0, verticalAngles[-1]+1, DEFAULT_VERTICAL_STEP) resampledIntensity = self.interpolateIESValues(np.array(horizontalAnglesMirrored),np.array(verticalAngles),horizontalResampled,verticalResampled,intensityMirrored) self.points = self.IESCoord2XYZ(horizontalResampled,verticalResampled,resampledIntensity,IES_MaxLength) #read ies files and return vertical angles, horizontal angles, intensities, width, length, radius. #based on the symmetry, horizontal angles and resampled def readIESfile(self, fileName): f=open(fileName, encoding = "ISO-8859-1")#need rb to read \r\n correctly. Otherwise universial newline function ignores carriage return. startReading = 0 line = f.readline() allValues = "" while line: if( not(line.strip())): break else: #after this line, there are actual useful values if("TILT=NONE" in line.strip()): line = f.readline() startReading = 1 #read all number to one string if(startReading): allValues = allValues+line line = f.readline() f.close() #one array with all values dimentions = re.split('\s+',allValues.strip()) return dimentions def getIESproperties(self, allValues): #return FEET2METER = 0.3048 verticalAngles = [] horizontalAngles = [] width = 0 length = 0 radius = 0 intensityMultiplier = 1 numberVerticalAngle = 0 numberHorizontalAngle = 0 unit = 1 #1 for feet, 2 for meter #number of vertical angles and horizontal angles measured numberVerticalAngle = int(allValues[3]) numberHorizontalAngle = int(allValues[4]) #check if shape is rectangle or disk if(float(allValues[7])<0): radius = allValues[7]*-1 else: width = allValues[7] length = allValues[8] #convert dimentions to meter if measured in feet if(float(allValues[6])==1): radius = radius*FEET2METER width = width *FEET2METER length = length * FEET2METER #the actual vertical angles and horizontal angles in list verticalAngles = list(map(float, allValues[13:13+numberVerticalAngle])) horizontalAngles = list(map(float,allValues[13+numberVerticalAngle:13+numberVerticalAngle+numberHorizontalAngle])) #read intensities and convert it to 2d array intensities = np.array(allValues[13+numberVerticalAngle+numberHorizontalAngle:len(allValues)]) intensities = intensities.reshape(numberHorizontalAngle,numberVerticalAngle).astype(np.float16) return verticalAngles,horizontalAngles,intensities,width,length,radius #ies could have several symmetry: #(1)only measured in one horizontal angle (0) which need to be repeated to all horizontal angle from 0 to 360 #(2)only measured in horizontal angles (0~90) which need to be mirrored twice to horizontal angle from 0 to 360 #(3)only measured in horizontal angles (0~180) which need to be mirrored to horizontal angle from 0 to 360 #(4)only measured in horizontal angles (0~360) which could be used directly def mirrorAngles(self, horizontalAngles,intensities): #make use of symmetry in the file and produce horizontal angles from 0~360 if(horizontalAngles[-1]==0): horizontalAnglesMirrored = list(np.arange(0,361,DEFAULT_HORIZONTAL_STEP)) else: horizontalAnglesMirrored = list(np.arange(0,361,horizontalAngles[-1]/(len(horizontalAngles)-1))) #make use of symmetry in the file and copy intensitys for horizontal angles from 0~360 if(horizontalAngles[-1]==90): #mirror results [90:180] a = np.concatenate((intensities, np.flip(intensities, 0)[1:]), axis=0) intensityMirrored = np.concatenate((a, np.flip(a, 0)[1:]), axis=0) elif(horizontalAngles[-1]==180): intensityMirrored = np.concatenate((intensities, np.flip(intensities, 0)[1:]), axis=0) elif(horizontalAngles[-1]==0): intensityMirrored = np.array(([intensities[0],]*len(np.arange(0,361,DEFAULT_HORIZONTAL_STEP)))) else: #print("Symmetry 360") intensityMirrored = intensities return horizontalAnglesMirrored, intensityMirrored def IESCoord2XYZ(self, horizontalAngles,verticalAngles,intensity,maxLength): maxValue = np.amax(intensity) if(maxValue>maxLength): intensity = intensity*(maxLength/maxValue) for index, horizontalAngle in enumerate(horizontalAngles): if(index ==0): #Omniverse and 3ds Max makes the light upside down, horizontal angle rotation direction need to be flipped. points = np.array(spherical_to_cartesian(intensity[index].tolist(), [math.radians(90-x) for x in verticalAngles], [math.radians(-1*horizontalAngle)]*len(verticalAngles))).transpose() else: newPoints = np.array(spherical_to_cartesian(intensity[index], [math.radians(90-x) for x in verticalAngles], [math.radians(-1*horizontalAngle)]*len(verticalAngles))).transpose() points = np.concatenate((points, newPoints), axis=0) #Omniverse and 3ds Max makes the light upside down, so flip z. points[:,2] *= -1 return points def interpolateIESValues(self, originalHorizontalAngles, originalVerticalAngles, newHorizontalAngles,newVerticalAngles, intensity): fun = interpolate.interp2d(originalVerticalAngles, originalHorizontalAngles, intensity, kind='linear') # kind could be {'linear', 'cubic', 'quintic'} interpolatedIntensity = fun(newVerticalAngles,newHorizontalAngles) return interpolatedIntensity

Python

Ekozmaster/NvidiaOmniverseRTXRemixTools/exts/ekozerski.rtxremixtools/ekozerski/rtxremixtools/add_model.py

import os from pathlib import Path from typing import List import omni from omni.client import make_relative_url from omni.kit.window.file_importer import get_file_importer from omni.kit.window.file_exporter import get_file_exporter import omni.usd as usd from pxr import UsdGeom, Usd, Sdf from ekozerski.rtxremixtools.utils import find_inst_hash_prim, find_source_mesh_hash_prim from ekozerski.rtxremixtools.commons import log_info from ekozerski.rtxremixtools import mesh_utils class UserCache: LAST_OPENED_MODEL = None def open_export_dialog_for_captured_mesh(prim_path, mesh): def setup_references_in_stage(current_stage, reference_file_location): _, mesh_hash, __ = Usd.Prim.GetName(mesh.GetParent()).split('_') xform_prim_path = f'/RootNode/meshes/mesh_{mesh_hash}/Xform_{mesh_hash}_0' omni.kit.commands.execute('CreatePrim', prim_type='Xform', prim_path=xform_prim_path) editing_layer = current_stage.GetEditTarget().GetLayer() relative_file_path = make_relative_url(editing_layer.realPath, reference_file_location) omni.kit.commands.execute('AddReference', stage=current_stage, prim_path=Sdf.Path(xform_prim_path), reference=Sdf.Reference(relative_file_path) ) selection = omni.usd.get_context().get_selection() selection.clear_selected_prim_paths() source_layer = mesh.GetPrimStack()[-1].layer source_layer.Reload() selection.set_selected_prim_paths([xform_prim_path], False) def file_export_handler(filename: str, dirname: str, extension: str = "", selections: List[str] = []): stage = Usd.Stage.CreateInMemory() root_xform = UsdGeom.Xform.Define(stage, '/root').GetPrim() stage.SetDefaultPrim(root_xform) new_mesh = UsdGeom.Mesh.Define(stage, f'/root/{prim_path.rsplit("/", 1)[-1]}') needed_attr_names = ['doubleSided', 'extent', 'faceVertexCounts', 'faceVertexIndices', 'normals', 'points', 'primvars:st'] [ new_mesh.GetPrim().CreateAttribute(attr.GetName(), attr.GetTypeName()).Set(attr.Get()) for attr in mesh.GetAttributes() if attr.Get() and attr.GetName() in needed_attr_names ] mesh_utils.convert_mesh_to_vertex_interpolation_mode(new_mesh) ctx = usd.get_context() current_stage = ctx.get_stage() upAxis = UsdGeom.GetStageUpAxis(current_stage) UsdGeom.SetStageUpAxis(stage, upAxis) save_location = dirname + filename + extension stage.Export(save_location) setup_references_in_stage(current_stage, save_location) log_info(f"> Exporting {prim_path} in '{save_location}'") source_layer = mesh.GetPrimStack()[-1].layer rtx_remix_path_parts = source_layer.realPath.split(os.path.join("rtx-remix"), 1) if len(rtx_remix_path_parts) > 1: rtx_remix_path = os.path.join(rtx_remix_path_parts[0], "rtx-remix", "mods", "gameReadyAssets") else: rtx_remix_path = source_layer.realPath rtx_remix_path = os.path.join(rtx_remix_path, "CustomMesh") file_exporter = get_file_exporter() file_exporter.show_window( title=f'Export "{prim_path}"', export_button_label="Save", export_handler=file_export_handler, filename_url=rtx_remix_path, ) def copy_original_mesh(prim_path, mesh, output_path): stage = Usd.Stage.CreateInMemory() root_xform = UsdGeom.Xform.Define(stage, '/root').GetPrim() stage.SetDefaultPrim(root_xform) new_mesh = UsdGeom.Mesh.Define(stage, f'/root/{prim_path.rsplit("/", 1)[-1]}') needed_attr_names = ['doubleSided', 'extent', 'faceVertexCounts', 'faceVertexIndices', 'normals', 'points', 'primvars:st'] [ new_mesh.GetPrim().CreateAttribute(attr.GetName(), attr.GetTypeName()).Set(attr.Get()) for attr in mesh.GetAttributes() if attr.Get() and attr.GetName() in needed_attr_names ] mesh_utils.convert_mesh_to_vertex_interpolation_mode(new_mesh) ctx = usd.get_context() current_stage = ctx.get_stage() upAxis = UsdGeom.GetStageUpAxis(current_stage) UsdGeom.SetStageUpAxis(stage, upAxis) stage.Export(output_path) def setup_references_in_stage(mesh, current_stage, reference_file_location): inst_hash_prim = find_inst_hash_prim(mesh) _, mesh_hash, __ = Usd.Prim.GetName(inst_hash_prim).split('_') export_prim_name = os.path.basename(reference_file_location).split('.', 1)[0] xform_prim_path = f'/RootNode/meshes/mesh_{mesh_hash}/{export_prim_name}' omni.kit.commands.execute('CreatePrim', prim_type='Xform', prim_path=xform_prim_path) editing_layer = current_stage.GetEditTarget().GetLayer() relative_file_path = make_relative_url(editing_layer.realPath, reference_file_location) omni.kit.commands.execute('AddReference', stage=current_stage, prim_path=Sdf.Path(xform_prim_path), reference=Sdf.Reference(relative_file_path) ) source_layer = mesh.GetPrimStack()[-1].layer source_layer.Reload() selection = omni.usd.get_context().get_selection() selection.clear_selected_prim_paths() selection.set_selected_prim_paths([xform_prim_path], False) def open_export_dialog_for_captured_mesh(prim_path, mesh): def export_mesh(filename: str, dirname: str, extension: str = "", selections: List[str] = []): file_location = dirname + filename + extension copy_original_mesh(prim_path, mesh, file_location) ctx = usd.get_context() current_stage = ctx.get_stage() setup_references_in_stage(mesh, current_stage, file_location) source_layer = mesh.GetPrimStack()[-1].layer rtx_remix_path_parts = source_layer.realPath.split(os.path.join("rtx-remix"), 1) rtx_remix_path = source_layer.realPath if len(rtx_remix_path_parts) > 1: rtx_remix_path = os.path.join(rtx_remix_path_parts[0], "rtx-remix", "mods", "gameReadyAssets") rtx_remix_path = os.path.join(rtx_remix_path, "CustomMesh") file_exporter = get_file_exporter() file_exporter.show_window( title=f'Export "{prim_path}"', export_button_label="Save", export_handler=export_mesh, filename_url=rtx_remix_path, ) def open_import_dialog_for_add_models(prim_path): def import_mesh(filename: str, dirname: str, selections: List[str] = []): # TODO: Loop through all selections and add them all to the mesh_HASH with their respective xforms correctly named without collisions. mesh_path = mesh.GetPath().pathString new_selection = list() counter = 0 for reference_file in selections: xform_name = Path(reference_file).stem new_mesh_path = mesh_path + f'/{xform_name}_{counter}' while current_stage.GetPrimAtPath(new_mesh_path).IsValid(): counter += 1 new_mesh_path = mesh_path + f'/{xform_name}_{counter}' omni.kit.commands.execute('CreatePrim', prim_type='Xform', prim_path=new_mesh_path) editing_layer = current_stage.GetEditTarget().GetLayer() relative_file_path = make_relative_url(editing_layer.realPath, reference_file) omni.kit.commands.execute('AddReference', stage=current_stage, prim_path=Sdf.Path(new_mesh_path), reference=Sdf.Reference(relative_file_path) ) new_selection.append(new_mesh_path) UserCache.LAST_OPENED_MODEL = os.path.dirname(reference_file) counter += 1 source_layer = mesh.GetPrimStack()[-1].layer source_layer.Reload() selection = omni.usd.get_context().get_selection() selection.clear_selected_prim_paths() selection.set_selected_prim_paths(new_selection, False) ctx = usd.get_context() current_stage = ctx.get_stage() inst_prim = current_stage.GetPrimAtPath(prim_path) mesh = find_source_mesh_hash_prim(current_stage, inst_prim) source_layer = mesh.GetPrimStack()[-1].layer filename_url = UserCache.LAST_OPENED_MODEL if UserCache.LAST_OPENED_MODEL is not None else source_layer.realPath file_importer = get_file_importer() file_importer.show_window( title=f'Import Models', import_button_label="Import", import_handler=import_mesh, filename_url=filename_url, ) def open_add_model_dialog(): for path in usd.get_context().get_selection().get_selected_prim_paths(): open_import_dialog_for_add_models(path) def open_mesh_replacement_setup_dialog(): for path, mesh in mesh_utils.get_selected_mesh_prims().items(): if mesh_utils.is_a_captured_mesh(mesh): open_export_dialog_for_captured_mesh(path, mesh)

Python

Ekozmaster/NvidiaOmniverseRTXRemixTools/exts/ekozerski.rtxremixtools/ekozerski/rtxremixtools/commons.py

import carb def log_info(msg: str): carb.log_info(f"[RTX Remix Tool] {msg}") def log_warn(msg: str): carb.log_warn(f"[RTX Remix Tool] {msg}") def log_error(msg: str): carb.log_error(f"[RTX Remix Tool] {msg}")

Python

Ekozmaster/NvidiaOmniverseRTXRemixTools/exts/ekozerski.rtxremixtools/ekozerski/rtxremixtools/extension.py

import omni.ext import omni.ui as ui from omni.kit import context_menu from omni.kit.hotkeys.core import get_hotkey_registry from omni.kit.actions.core import get_action_registry from . import commons from .rtx_context_menu import build_rtx_remix_menu # Any class derived from `omni.ext.IExt` in top level module (defined in `python.modules` of `extension.toml`) will be # instantiated when extension gets enabled and `on_startup(ext_id)` will be called. Later when extension gets disabled # on_shutdown() is called. class RtxRemixTools(omni.ext.IExt): def on_startup(self, ext_id): self.ext_id = ext_id commons.log_info(f"Starting Up") menu = {"name": "RTX Remix", "populate_fn": build_rtx_remix_menu} self._context_menu_subscription = context_menu.add_menu(menu, "MENU", "") self.hotkey_registry = get_hotkey_registry() register_actions(self.ext_id) self.select_source_mesh_hotkey = self.hotkey_registry.register_hotkey( self.ext_id, "SHIFT + F", self.ext_id, "select_source_mesh", filter=None, ) def on_shutdown(self): commons.log_info(f"Shutting Down") # remove event self._context_menu_subscription.release() self.hotkey_registry.deregister_hotkey( self.select_source_mesh_hotkey, ) deregister_actions(self.ext_id) def register_actions(extension_id): from . import select_source_mesh action_registry = get_action_registry() actions_tag = "RTX Remix Tools Actions" action_registry.register_action( extension_id, "select_source_mesh", select_source_mesh.select_source_meshes, display_name="Select Source Mesh", description="Selects the corresponding mesh_HASH the prim is related to.", tag=actions_tag, ) def deregister_actions(extension_id): action_registry = get_action_registry() action_registry.deregister_all_actions_for_extension(extension_id)

Python

Ekozmaster/NvidiaOmniverseRTXRemixTools/exts/ekozerski.rtxremixtools/ekozerski/rtxremixtools/mesh_utils.py

from collections import OrderedDict import os from pxr import UsdGeom, Usd, Sdf import omni.usd as usd from ekozerski.rtxremixtools.commons import log_error def get_selected_mesh_prims(): ctx = usd.get_context() current_stage = ctx.get_stage() selection = ctx.get_selection().get_selected_prim_paths() selected_prims = { path: current_stage.GetPrimAtPath(path) for path in selection } meshes = { prim_path: prim for prim_path, prim in selected_prims.items() if UsdGeom.Mesh(prim) } return meshes def convert_mesh_to_vertex_interpolation_mode(mesh): """ This method attemps to convert Remix meshes' interpolation mode from constant or faceVarying to vertex. If there is any faceVarying attribute, it means the data arrays (points, uvs, normals...) will have different lengths, so this script will copy data around using the faceVertexIndices array to ensure they all end up with the same length. """ # TODO: Study interpolation modes in depth to implement a decent conversion script. prim = mesh.GetPrim() primvar_api = UsdGeom.PrimvarsAPI(prim) primvars = {var for var in primvar_api.GetPrimvars()} face_varying_primvars = [v for v in primvars if v.GetInterpolation() == UsdGeom.Tokens.faceVarying] if face_varying_primvars or mesh.GetNormalsInterpolation() == UsdGeom.Tokens.faceVarying: non_face_varying_primvars = list(primvars.difference(face_varying_primvars)) non_face_varying_primvars = [var for var in non_face_varying_primvars if var.GetInterpolation() != 'uniform'] indices = prim.GetAttribute("faceVertexIndices") # Settings points separately since it doesn't have a "SetInterpolation" like primvars. points = prim.GetAttribute("points") points_arr = points.Get() new_arr = [points_arr[i] for i in indices.Get()] points.Set(new_arr) for var in non_face_varying_primvars: original_arr = var.Get() if original_arr: new_arr = [original_arr[i] for i in indices.Get()] var.Set(new_arr) indices.Set([i for i in range(len(indices.Get()))]) [var.SetInterpolation(UsdGeom.Tokens.vertex) for var in primvars] mesh.SetNormalsInterpolation(UsdGeom.Tokens.vertex) def convert_uv_primvars_to_st(mesh): # https://github.com/NVIDIAGameWorks/dxvk-remix/blob/ebb0ecfd638d6a32ab5f10708b5b07bc763cf79b/src/dxvk/rtx_render/rtx_mod_usd.cpp#L696 # https://github.com/Kim2091/RTXRemixTools/blob/8ae25224ef8d1d284f3e208f671b2ce6a35b82af/RemixMeshConvert/For%20USD%20Composer/RemixMeshConvert_OV.py#L4 known_uv_names = [ 'primvars:st', 'primvars:uv', 'primvars:st0', 'primvars:st1', 'primvars:st2', 'primvars:UVMap', 'primvars:UVChannel_1', 'primvars:map1', ] # Preserving the order of found primvars to use the first one, in case a primvars:st can't be found. primvar_api = UsdGeom.PrimvarsAPI(mesh) uv_primvars = OrderedDict( (primvar.GetName(), primvar) for primvar in primvar_api.GetPrimvars() if primvar.GetTypeName().role == 'TextureCoordinate' or primvar.GetName() in known_uv_names ) if not uv_primvars: return # Picking only one UV and blowing up everything else as the runtime only reads the first anyway. considered_uv = uv_primvars.get('primvars:st') or next(iter(uv_primvars.values())) uv_data = considered_uv.Get() [primvar_api.RemovePrimvar(uv_name) for uv_name in uv_primvars.keys()] # Recreating the primvar with appropriate name, type and role new_uv_primvar = primvar_api.CreatePrimvar('primvars:st', Sdf.ValueTypeNames.TexCoord2fArray, UsdGeom.Tokens.vertex) new_uv_primvar.Set(uv_data) def remove_unused_primvars(mesh): unused_primvar_names = [ 'primvars:displayColor', 'primvars:displayOpacity', ] primvar_api = UsdGeom.PrimvarsAPI(mesh) [primvar_api.RemovePrimvar(uv_name) for uv_name in unused_primvar_names] def fix_meshes_in_file(usd_file_path): stage = Usd.Stage.Open(usd_file_path) mesh_prims = [prim for prim in stage.TraverseAll() if UsdGeom.Mesh(prim)] for prim in mesh_prims: faceVertices = prim.GetAttribute("faceVertexCounts").Get() if not faceVertices or not all({x == 3 for x in faceVertices}): log_error(f"Mesh {prim.GetPath()} in '{usd_file_path}' hasn't been triangulated and this tools doesn't do that for you yet :(") continue convert_mesh_to_vertex_interpolation_mode(UsdGeom.Mesh(prim)) convert_uv_primvars_to_st(UsdGeom.Mesh(prim)) remove_unused_primvars(UsdGeom.Mesh(prim)) stage.Save() def is_a_captured_mesh(mesh): """ Returns True if the Mesh's defining USD file is located in the captures folder. """ return os.path.normpath("captures/meshes") in os.path.normpath(mesh.GetPrimStack()[-1].layer.realPath) def fix_meshes_geometry(): meshes = {k: v for k,v in get_selected_mesh_prims().items() if not is_a_captured_mesh(v)} for path, mesh in meshes.items(): source_layer = mesh.GetPrimStack()[-1].layer fix_meshes_in_file(source_layer.realPath) source_layer.Reload()

Python

Ekozmaster/NvidiaOmniverseRTXRemixTools/exts/ekozerski.rtxremixtools/ekozerski/rtxremixtools/add_material.py

import os from typing import List from omni import usd, kit from omni.kit.window.file_importer import get_file_importer from omni.client import make_relative_url from ekozerski.rtxremixtools.utils import find_source_mesh_hash_prim def open_add_material_dialog_for_prim(mesh_hash, ctx, current_stage): def create_material_from_mdl_file(filename: str, dirname: str, selections: List[str] = []): if not filename.endswith('mdl'): raise ValueError(f"The selected file '{filename}' doesn't have a mdl extension.") mesh_hash_path = mesh_hash.GetPath().pathString counter = 0 material_name = os.path.basename(filename).replace('.mdl', '') new_material_path = mesh_hash_path + f'/{material_name}_{counter}' while current_stage.GetPrimAtPath(new_material_path).IsValid(): counter += 1 new_material_path = mesh_hash_path + f'/{material_name}_{counter}' # TODO: Get material name by inspecting the MDL file rather than guessing from it's name, so users can # rename it at will. mtl_name = 'AperturePBR_Opacity' if 'Opacity' in filename else 'AperturePBR_Translucent' editing_layer = current_stage.GetEditTarget().GetLayer() relative_file_path = make_relative_url(editing_layer.realPath, os.path.join(dirname, filename)) success, _ = kit.commands.execute('CreateMdlMaterialPrimCommand', mtl_url=relative_file_path, mtl_name=mtl_name, mtl_path=new_material_path, select_new_prim=True, ) def filter_handler(filename: str, _, extension_option): if extension_option == '.mdl': return filename.lower().endswith('.mdl') return True file_importer = get_file_importer() file_importer.show_window( title=f'Select MDL File', import_button_label="Select", import_handler=create_material_from_mdl_file, file_extension_types=[(".mdl", "Opacity or Translucent MDL file")], file_filter_handler=filter_handler, ) def open_add_material_dialog(): ctx = usd.get_context() current_stage = ctx.get_stage() selection = ctx.get_selection().get_selected_prim_paths() selected_prims = { path: current_stage.GetPrimAtPath(path) for path in selection } source_meshes = [find_source_mesh_hash_prim(current_stage, prim) for prim in selected_prims.values()] source_meshes = set([mesh for mesh in source_meshes if mesh is not None]) for mesh_hash in list(source_meshes): open_add_material_dialog_for_prim(mesh_hash, ctx, current_stage)

Python

Ekozmaster/NvidiaOmniverseRTXRemixTools/exts/ekozerski.rtxremixtools/ekozerski/rtxremixtools/utils.py

from pxr import Usd from omni import usd def find_source_mesh_hash_prim(current_stage, prim): if not current_stage.GetPrimAtPath('/RootNode/meshes'): return prim search_prim = prim valid_paths = ['/RootNode/meshes', '/RootNode/instances'] while search_prim.GetParent().IsValid() and search_prim.GetParent().GetPath().pathString not in valid_paths: search_prim = search_prim.GetParent() if not search_prim: return None if 'mesh_' in Usd.Prim.GetName(search_prim): return search_prim _, mesh_hash, __ = Usd.Prim.GetName(search_prim).split('_') mesh_prim_path = f'/RootNode/meshes/mesh_{mesh_hash}' return current_stage.GetPrimAtPath(mesh_prim_path) def find_inst_hash_prim(instance_mesh): search_prim = instance_mesh root_path = '/RootNode/instances' while search_prim.GetParent().IsValid() and search_prim.GetParent().GetPath().pathString != root_path: search_prim = search_prim.GetParent() if not search_prim: return None return search_prim

Python

Ekozmaster/NvidiaOmniverseRTXRemixTools/exts/ekozerski.rtxremixtools/ekozerski/rtxremixtools/preserve_draw_calls.py

from omni import usd, kit from pxr import Sdf from ekozerski.rtxremixtools.utils import find_source_mesh_hash_prim def set_preserve_original_draw_call(enabled: bool = False): ctx = usd.get_context() current_stage = ctx.get_stage() selection = ctx.get_selection().get_selected_prim_paths() selected_prims = { path: current_stage.GetPrimAtPath(path) for path in selection } source_meshes = [find_source_mesh_hash_prim(current_stage, prim) for prim in selected_prims.values()] source_meshes = set([mesh for mesh in source_meshes if mesh is not None]) for mesh_prim in source_meshes: kit.commands.execute( 'CreateUsdAttributeCommand', prim=mesh_prim, attr_name='preserveOriginalDrawCall', attr_type=Sdf.ValueTypeNames.Int, attr_value=1 if enabled else 0 )

Python

Ekozmaster/NvidiaOmniverseRTXRemixTools/exts/ekozerski.rtxremixtools/ekozerski/rtxremixtools/rtx_context_menu.py

from omni.kit.ui import get_custom_glyph_code from omni import usd import omni.ui as ui from . import mesh_utils from . import add_model from . import add_material from . import preserve_draw_calls from . import select_source_mesh def _build_fix_mesh_geometry_menu_item(): tooltip = ''.join([ 'Interpolation Mode\n', 'OBS: Operation Can\'t be undone\n', ' RTX Remix runtime only supports "vertex" interpolation mode, in which "points", "normals" and "uvs" arrays ', 'must have the same length, but DCC tools usually export the mesh using "faceVarying" interpolation mode.', 'This operation reorganizes the geometry to be compatible with the runtime. See:\n', ' "Interpolation of Geometric Primitive Variables" - https://openusd.org/dev/api/class_usd_geom_primvar.html', '\n\nThis operation only applies for meshes inside the mods folder, not the captured ones.', ]) ui.MenuItem( "Fix Meshes Geometry", triggered_fn=mesh_utils.fix_meshes_geometry, enabled=any([ not mesh_utils.is_a_captured_mesh(mesh) for mesh in mesh_utils.get_selected_mesh_prims().values() ]), tooltip=tooltip ) def _build_setup_for_mesh_replacements_menu_item(): tooltip = ''.join([ "Export the original mesh to a selected location and setup the references to work within the runtime so you", " can focus on remodeling the mesh and export back at the same location." ]) ui.MenuItem( "Setup for Mesh Replacement", triggered_fn=add_model.open_mesh_replacement_setup_dialog, enabled=any([ mesh_utils.is_a_captured_mesh(mesh) for mesh in mesh_utils.get_selected_mesh_prims().values() ]), tooltip=tooltip ) def _build_add_model_menu_item(): tooltip = ''.join([ "Add external authored meshes to the prim, setting up properly to work within the runtime." ]) ui.MenuItem( "Add Model", triggered_fn=add_model.open_add_model_dialog, tooltip=tooltip, enabled=bool(usd.get_context().get_selection().get_selected_prim_paths()) ) def _build_add_material_menu_item(): tooltip = ''.join([ "Add a material defined from an external MDL file to the selected prim." ]) ui.MenuItem( "Add Material", triggered_fn=add_material.open_add_material_dialog, tooltip=tooltip, enabled=bool(usd.get_context().get_selection().get_selected_prim_paths()) ) def _build_preserve_original_draw_call_menu_item(): tooltip = ''.join([ "Add a 'custom int preserveOriginalDrawCall' attribute set to '1' to the mesh_HASH prim. Used to indicate to", " the runtime whether it should keep rendering the original mesh or not. Should be set when adding custom ", " lights without removing the original mesh from rendering." ]) ui.MenuItem( "Preserve", triggered_fn=lambda: preserve_draw_calls.set_preserve_original_draw_call(True), tooltip=tooltip, enabled=bool(usd.get_context().get_selection().get_selected_prim_paths()) ) def _build_dont_preserve_original_draw_call_menu_item(): tooltip = ''.join([ "Add a 'custom int preserveOriginalDrawCall' attribute set to '0' to the mesh_HASH prim. Used to indicate to", " the runtime whether it should keep rendering the original mesh or not. Should be set when adding custom ", " lights without removing the original mesh from rendering." ]) ui.MenuItem( "Don't Preserve", triggered_fn=lambda: preserve_draw_calls.set_preserve_original_draw_call(False), tooltip=tooltip, enabled=bool(usd.get_context().get_selection().get_selected_prim_paths()) ) def _build_select_source_meshes_menu(): tooltip = ''.join([ "Selects the corresponding mesh_HASH the prim is related to." ]) ui.MenuItem( "Select Source Mesh (Shift + F)", triggered_fn=select_source_mesh.select_source_meshes, tooltip=tooltip, enabled=bool(usd.get_context().get_selection().get_selected_prim_paths()) ) def build_rtx_remix_menu(event): icon = get_custom_glyph_code("${glyphs}/menu_create.svg") with ui.Menu(f' {icon} RTX Remix'): _build_fix_mesh_geometry_menu_item() _build_setup_for_mesh_replacements_menu_item() _build_add_model_menu_item() _build_add_material_menu_item() with ui.Menu(f'Original Draw Call Preservation'): _build_preserve_original_draw_call_menu_item() _build_dont_preserve_original_draw_call_menu_item() _build_select_source_meshes_menu()

Python

Ekozmaster/NvidiaOmniverseRTXRemixTools/exts/ekozerski.rtxremixtools/ekozerski/rtxremixtools/select_source_mesh.py

from omni import usd from ekozerski.rtxremixtools.utils import find_source_mesh_hash_prim def select_source_meshes(): ctx = usd.get_context() current_stage = ctx.get_stage() selection = ctx.get_selection().get_selected_prim_paths() selected_prims = { path: current_stage.GetPrimAtPath(path) for path in selection } source_meshes = [find_source_mesh_hash_prim(current_stage, prim) for prim in selected_prims.values()] source_meshes = set([mesh for mesh in source_meshes if mesh is not None]) paths = [mesh.GetPath().pathString for mesh in source_meshes] selection = usd.get_context().get_selection() selection.clear_selected_prim_paths() selection.set_selected_prim_paths(paths, False)

Python

rcervellione-nv/omni.rhinocompute/exts/cerver.util.rhinocompute/cerver/util/rhinocompute/extension.py

# Copyright (c) 2022 NVIDIA CORPORATION. All rights reserved. # NVIDIA CORPORATION and its licensors retain all intellectual property # and proprietary rights in and to this software, related documentation # and any modifications thereto. Any use, reproduction, disclosure or # distribution of this software and related documentation without an express # license agreement from NVIDIA CORPORATION is strictly prohibited. import omni.ext import omni.ui as ui import omni.usd from .RhinoComputeFunctions import RhinoFunctions, GrasshopperFunctions from .RhinoComputUtil import SaveSelectedAs3dm # Any class derived from `omni.ext.IExt` in top level module (defined in `python.modules` of `extension.toml`) will be # instantiated when extension gets enabled and `on_startup(ext_id)` will be called. Later when extension gets disabled # on_shutdown() is called. class MyExtension(omni.ext.IExt): # ext_id is current extension id. It can be used with extension manager to query additional information, like where # this extension is located on filesystem. def __init__(self): self.computeUrl="http://localhost:6500/" self.progressbarprog = 0 self.progbarwindow = None self.excludeLastGroupAsLayer = False def on_startup(self, ext_id): #print("[omni.RhinoCompute] MyExtension startup") def serverAddrChanged(addr): self.computeUrl = addr self._window = ui.Window("Rhino Compute Functions", width=300, height=400) with self._window.frame: with ui.VStack(): ui.Label("Compute Server Address") serverAddrUi = ui.StringField(height = 30) serverAddrUi.model.set_value(self.computeUrl) serverAddrUi.model.add_value_changed_fn(lambda m:serverAddrChanged(m.get_value_as_string())) with ui.CollapsableFrame("Util Functions", height = 0): with ui.VStack(): ui.Button("save sel as 3dm", clicked_fn=lambda: SaveSelectedAs3dm(self,"S:/test.3dm"), height=40) ui.Button("save all as 3dm", clicked_fn=lambda: RhinoFunctions.SaveAllAs3DM_UI(self), height=40) with ui.CollapsableFrame("Mesh Functions", height = 0): with ui.VStack(): ui.Button("Volume", clicked_fn=lambda: RhinoFunctions.MeshVolume(self), height=40) ui.Button("Mesh Bool Union", clicked_fn=lambda: RhinoFunctions.MeshBoolUnion(self), height=40) ui.Button("Quad Remesh", clicked_fn=lambda: RhinoFunctions.MeshQuadRemesh(self), height=40) ui.Button("Mesh Offset", clicked_fn=lambda: RhinoFunctions.MeshOffset(self), height=40) with ui.CollapsableFrame("Grasshopper Functions", height = 0): with ui.VStack(): ui.Button("Random Diamonds Script", clicked_fn=lambda: GrasshopperFunctions.randomDiamonds_UI(self), height=40) def on_shutdown(self): print("[omni.RhinoCompute] MyExtension shutdown")

Python

rcervellione-nv/omni.rhinocompute/exts/cerver.util.rhinocompute/cerver/util/rhinocompute/RhinoComputeFunctions.py

# Copyright (c) 2022 NVIDIA CORPORATION. All rights reserved. # NVIDIA CORPORATION and its licensors retain all intellectual property # and proprietary rights in and to this software, related documentation # and any modifications thereto. Any use, reproduction, disclosure or # distribution of this software and related documentation without an express # license agreement from NVIDIA CORPORATION is strictly prohibited. import string import omni.ext import omni.ui as ui from pxr import Usd, UsdGeom import omni.usd import carb.events import omni.kit.app import os import json import time omni.kit.pipapi.install("rhino3dm") from rhino3dm import * omni.kit.pipapi.install("compute-rhino3d") import compute_rhino3d.Util import compute_rhino3d.Mesh import compute_rhino3d.Grasshopper as gh from .RhinoComputUtil import * omni.kit.pipapi.install("plotly==5.4.0") import plotly.graph_objects as go class RhinoFunctions: def ComputeServerUrl(self): return self.computeUrl def MeshVolume(self): #add the compute server location compute_rhino3d.Util.url = self.computeUrl #convert selected items to rhino mesh meshes = convertSelectedUsdMeshToRhino() vols = [] names = [] rhinoMeshes = [] #for each mesh compute the volume and then add the volume and name to a list for m in meshes: rhinoMeshes.append(m["Mesh"]) vol = compute_rhino3d.Mesh.Volume(m["Mesh"]) vols.append(vol) names.append(m["Name"]) #use plotly to plot the volumes as a pie chart fig = go.Figure( data=[go.Pie(values=vols, labels=names)], layout_title_text="the Volumes" ) fig.show() def MeshBoolUnion(self) -> None: #add the compute server location compute_rhino3d.Util.url = self.computeUrl #convert selected items to rhino mesh meshes = convertSelectedUsdMeshToRhino() #for each mesh compute the bool union rhinoMeshes = [] for m in meshes: rhinoMeshes.append(m["Mesh"]) rhinoMeshes = compute_rhino3d.Mesh.CreateBooleanUnion(rhinoMeshes) #add to the stage after converting back from rhino to USD mesh #ToDo: add UI to define prim path and names ct=0 for rm in rhinoMeshes: RhinoMeshToUsdMesh("/World/rhinoComputed/",f"BoolUnion_{ct}",rm) def MeshQuadRemesh(self)-> None: compute_rhino3d.Util.url = self.computeUrl meshes = convertSelectedUsdMeshToRhino() #setup all the params for quad remesh #ToDo: make this a UI for user parameters = { 'AdaptiveQuadCount': True, 'AdaptiveSize': 50.0, 'DetectHardEdges': True, 'GuideCurveInfluence': 0, 'PreserveMeshArrayEdgesMode': 0, 'TargetQuadCount': 2000 } names = [] rhinoMeshes = [] for m in meshes: weldVerts = compute_rhino3d.Mesh.Weld(m["Mesh"],0.5) qrm =compute_rhino3d.Mesh.QuadRemesh(weldVerts,parameters) name = m["Name"] if qrm is not None: rhinoMeshes.append(qrm) names.append(name) RhinoMeshToUsdMesh("/World/rhinoComputed/",name+"_QuadRemesh",qrm) else: warning(f"QuadRemesh Failed on {name}") def MeshWeld(self, tol)-> None: compute_rhino3d.Util.url = self.computeUrl meshes = convertSelectedUsdMeshToRhino() names = [] rhinoMeshes = [] for m in meshes: weldVerts = compute_rhino3d.Mesh.Weld(m["Mesh"],tol) name = m["Name"] if weldVerts is not None: rhinoMeshes.append(weldVerts) names.append(name) RhinoMeshToUsdMesh("/World/rhinoComputed/",name+"_Weld",weldVerts) else: warning(f"Weld Failed on {name}") def MeshOffset(self)-> None: compute_rhino3d.Util.url = self.computeUrl meshes = convertSelectedUsdMeshToRhino() names = [] rhinoMeshes = [] for m in meshes: macf = compute_rhino3d.Mesh.Offset1(m["Mesh"],1,True) rhinoMeshes.append(macf) name = m["Name"] names.append(name) RhinoMeshToUsdMesh("/World/rhinoComputed/",name+"_offset",macf) def SaveAllAs3DM_UI(self): window_flags = ui.WINDOW_FLAGS_NO_SCROLLBAR #window_flags |= ui.WINDOW_FLAGS_NO_TITLE_BAR self.export3dmwindow = ui.Window("Export Stage As 3DM", width=300, height=130, flags=window_flags) with self.export3dmwindow.frame: with ui.VStack(): with ui.HStack(): ui.Label("Path", width=50, height = 25) path = ui.StringField( height = 25, tooltip = "Set the location and name of the file i.e c:/temp/myRhinofile.3dm") with ui.HStack( height = 35): def exLastGrpAsLayCb_changed(self, val): self.excludeLastGroupAsLayer = val print(val) exLastGrpAsLayCb = ui.CheckBox(width = 30) exLastGrpAsLayCb.model.add_value_changed_fn(lambda cb: exLastGrpAsLayCb_changed(self,cb.get_value_as_bool() ) ) ui.Label("Exlude last group as layer", width=50, height = 15) def exportbt(): SaveAllas3DM(self,path.model.get_value_as_string()) ui.Line() ui.Button("Export", clicked_fn=lambda: exportbt(), height=25) class GrasshopperFunctions: def randomDiamonds(self,uCt,vCt,rrA,rrB): compute_rhino3d.Util.url = self.computeUrl ghFile = os.path.dirname(os.path.dirname(__file__)) + "/rhinocompute/gh/randomDiamonds.ghx" selectedMeshes = convertSelectedUsdMeshToRhino() inputMesh = selectedMeshes[0]["Mesh"] # create list of input trees ghMesh = json.dumps(inputMesh.Encode()) mesh_tree = gh.DataTree("baseMesh") mesh_tree.Append([0], [ghMesh]) srfU_tree = gh.DataTree("srfU") srfU_tree.Append([0], [uCt]) srfV_tree = gh.DataTree("srfV") srfV_tree.Append([0], [vCt]) rrA_tree = gh.DataTree("RR_A") rrA_tree.Append([0], [rrA]) rrB_tree = gh.DataTree("RR_B") rrB_tree.Append([0], [rrB]) inputs = [mesh_tree, srfU_tree, srfV_tree, rrA_tree, rrB_tree] results = gh.EvaluateDefinition(ghFile, inputs) # decode results data = results['values'][0]['InnerTree']['{0}'] outMeshes = [rhino3dm.CommonObject.Decode(json.loads(item['data'])) for item in data] ct = 0 for m in outMeshes: RhinoMeshToUsdMesh("/World",f"/randomDiamonds/randomDiamonds_{ct}",m) ct+=1 def randomDiamonds_UI(self): def run(uCt,vCt,rrA,rrB): GrasshopperFunctions.randomDiamonds(self,uCt, vCt, rrA,rrB) #window_flags = ui.WINDOW_FLAGS_NO_RESIZE sliderStyle = {"border_radius":15, "background_color": 0xFFDDDDDD, "secondary_color":0xFFAAAAAA, "color":0xFF111111, "margin":3} window_flags = ui.WINDOW_FLAGS_NO_SCROLLBAR self.theWindow = ui.Window("Random Diamonds", width=300, height=200, flags=window_flags) with self.theWindow.frame: with ui.VStack(): with ui.HStack(): ui.Label("U Ct", width=40) srfU = ui.IntSlider(height= 20, min=1, max=50, style= sliderStyle ) with ui.HStack(): ui.Label("V Ct", width=40) srfV = ui.IntSlider(height= 20, min=1, max=50, style= sliderStyle ) with ui.HStack(): ui.Label("min D", width=40) rrA = ui.FloatSlider(height= 20, min=0.1, max=150, style= sliderStyle ) with ui.HStack(): ui.Label("max D", width=40) rrB = ui.FloatSlider(height= 20, min=0.1, max=150, style= sliderStyle ) srfU.model.set_value(4) srfV.model.set_value(4) rrA.model.set_value(4) rrB.model.set_value(75) srfU.model.add_value_changed_fn(lambda m:run(srfU.model.get_value_as_int(),srfV.model.get_value_as_int(),rrA.model.get_value_as_float(),rrB.model.get_value_as_float())) srfV.model.add_value_changed_fn(lambda m:run(srfU.model.get_value_as_int(),srfV.model.get_value_as_int(),rrA.model.get_value_as_float(),rrB.model.get_value_as_float())) rrA.model.add_value_changed_fn(lambda m:run(srfU.model.get_value_as_int(),srfV.model.get_value_as_int(),rrA.model.get_value_as_float(),rrB.model.get_value_as_float())) rrB.model.add_value_changed_fn(lambda m:run(srfU.model.get_value_as_int(),srfV.model.get_value_as_int(),rrA.model.get_value_as_float(),rrB.model.get_value_as_float())) ui.Line(height=10) ui.Button("Run >>", clicked_fn=lambda: GrasshopperFunctions.randomDiamonds(self, srfU.model.get_value_as_int(), srfV.model.get_value_as_int(), rrA.model.get_value_as_float(), rrB.model.get_value_as_float(), ), height=30)

Python

rcervellione-nv/omni.rhinocompute/exts/cerver.util.rhinocompute/cerver/util/rhinocompute/RhinoComputUtil.py

# Copyright (c) 2022 NVIDIA CORPORATION. All rights reserved. # NVIDIA CORPORATION and its licensors retain all intellectual property # and proprietary rights in and to this software, related documentation # and any modifications thereto. Any use, reproduction, disclosure or # distribution of this software and related documentation without an express # license agreement from NVIDIA CORPORATION is strictly prohibited. import compute_rhino3d.Util import compute_rhino3d.Mesh import compute_rhino3d.Grasshopper as gh import rhino3dm import json import omni.ext import omni.ui as ui from pxr import Usd, UsdGeom, Gf import omni.usd import asyncio def convertSelectedUsdMeshToRhino(): context = omni.usd.get_context() stage = omni.usd.get_context().get_stage() prims = [stage.GetPrimAtPath(m) for m in context.get_selection().get_selected_prim_paths() ] #filter out prims that are not mesh selected_prims = [ prim for prim in prims if UsdGeom.Mesh(prim)] #setup var to hold the mesh, its name in the dict sDict = [] #add the converted prims to the dict for m in selected_prims: sDict.append({"Name": m.GetName(), "Mesh":UsdMeshToRhinoMesh(m)}) return sDict def UsdMeshToRhinoMesh(usdMesh): #array for the mesh items vertices = [] faces = [] #get the USD points points = UsdGeom.Mesh(usdMesh).GetPointsAttr().Get() #setup the items needed to deal with world and local transforms xform_cache = UsdGeom.XformCache() mtrx_world = xform_cache.GetLocalToWorldTransform(usdMesh) #create the rhino mesh mesh = rhino3dm.Mesh() #convert the USD points to rhino points for p in points: world_p = mtrx_world.Transform(p) mesh.Vertices.Add(world_p[0],world_p[1],world_p[2]) #faces we can extend directly into the aray becaue they are just ints faces.extend( UsdGeom.Mesh(usdMesh).GetFaceVertexIndicesAttr().Get()) faceCount = UsdGeom.Mesh(usdMesh).GetFaceVertexCountsAttr().Get() ct = 0 #add the face verts, USD uses a flat list of ints so we need to deal with #3 or 4 sided faces. USD supports ngons but that is not accounted for #ToDo: Deal with ngons for i in range(0,len(faceCount)): fc=faceCount[i] if fc is 3: mesh.Faces.AddFace(faces[ct], faces[ct+1], faces[ct+2]) if fc is 4: mesh.Faces.AddFace(faces[ct], faces[ct+1], faces[ct+2], faces[ct+3]) ct+=fc #compute normals, i dont use the USD normals here but you could mesh.Normals.ComputeNormals() mesh.Compact() return mesh def save_stage(): stage = omni.usd.get_context().get_stage() stage.GetRootLayer().Save() omni.client.usd_live_process() def RhinoMeshToUsdMesh( rootUrl, meshName, rhinoMesh: rhino3dm.Mesh , primPath=None): #get the stage stage = omni.usd.get_context().get_stage() # Create the geometry inside of "Root" meshPrimPath = rootUrl + meshName mesh = UsdGeom.Mesh.Define(stage, meshPrimPath) # Add all of the vertices points = [] for i in range(0,len(rhinoMesh.Vertices)): v = rhinoMesh.Vertices[i] points.append(Gf.Vec3f(v.X, v.Y, v.Z)) mesh.CreatePointsAttr(points) # Calculate indices for each triangle faceIndices = [] faceVertexCounts = [] for i in range(0, rhinoMesh.Faces.Count): fcount=3 curf = rhinoMesh.Faces[i] faceIndices.append(curf[0]) faceIndices.append(curf[1]) faceIndices.append(curf[2]) if curf[2] != curf[3]: faceIndices.append(curf[3]) fcount=4 #print(f"{fcount} : {curf}") faceVertexCounts.append(fcount) mesh.CreateFaceVertexIndicesAttr(faceIndices) mesh.CreateFaceVertexCountsAttr(faceVertexCounts) # Add vertex normals meshNormals = [] for n in rhinoMesh.Normals: meshNormals.append(Gf.Vec3f(n.X,n.Y,n.Z)) mesh.CreateNormalsAttr(meshNormals) def SaveRhinoFile(rhinoMeshes, path): model = rhino3dm.File3dm() [ model.Objects.AddMesh(m) for m in rhinoMeshes] model.Write(path) def SaveSelectedAs3dm(self,path): selectedMeshes = convertSelectedUsdMeshToRhino() meshobj = [d['Mesh'] for d in selectedMeshes] SaveRhinoFile(meshobj, path) def SaveAllas3DM(self, path): #get the stage stage = omni.usd.get_context().get_stage() #get all prims that are meshes meshPrims = [stage.GetPrimAtPath(prim.GetPath()) for prim in stage.Traverse() if UsdGeom.Mesh(prim)] #make a rhino file rhinoFile = rhino3dm.File3dm() uniqLayers = {} #figure out how many elements there are (to implament progress bar in future) numPrims = len(meshPrims) curPrim = 0 #loop over all the meshes for mp in meshPrims: #convert from usd mesh to rhino mesh rhinoMesh = UsdMeshToRhinoMesh(mp) objName = mp.GetName() rhinoAttr = rhino3dm.ObjectAttributes() dataOnParent = False #get the properties on the prim bimProps = None parentPrim = mp.GetParent() #see if this prim has BIM properties (from revit) if parentPrim: bimProps = mp.GetPropertiesInNamespace("BIM") dataOnParent = False #see if this prims parent has BIM properties (from revit) if not bimProps: bimProps = parentPrim.GetPropertiesInNamespace("BIM") dataOnParent = True #if no bim properties just add regular ones if not bimProps : bimProps = mp.GetProperties() dataOnParent = False for p in bimProps: try: pName = p.GetBaseName() var = p.Get() rhinoAttr.SetUserString(pName, str(var)) except Exception : pass # get the prims path and use that to create nested layers in rhino primpath = str(mp.GetPath()) sepPrimPath = primpath.split('/') sepPrimPath.pop(0) sepPrimPath.pop() # this will ajust the layer structure if the data is from the revit connector # or if you just want to prune the last group in the export dialogue if dataOnParent or self.excludeLastGroupAsLayer: sepPrimPath.pop() nestedLayerName = '::'.join(sepPrimPath) ct=0 curLayer = "" #loop over all the prim paths to created the nested layers in rhino for pp in sepPrimPath: if ct == 0: curLayer += pp else: curLayer += f"::{pp}" #check if the layer exists, if not make it if not curLayer in uniqLayers : layer = rhino3dm.Layer() if ct>0: prevLayer = curLayer.split('::') prevLayer.pop() prevLayer = '::'.join(prevLayer) layer.ParentLayerId = rhinoFile.Layers.FindIndex(uniqLayers[prevLayer]).Id layer.Color = (255,255,255,255) layer.Name = pp idx = rhinoFile.Layers.Add(layer) uniqLayers[curLayer]= int(idx) ct+=1 rhinoAttr.Name = objName #print(str(uniqLayers[nestedLayerName])) rhinoAttr.LayerIndex = int(str(uniqLayers[nestedLayerName])) #add the mesh and its attributes to teh rhino file rhinoFile.Objects.AddMesh(rhinoMesh, rhinoAttr) curPrim += 1 self.progressbarprog = curPrim/numPrims #save it all rhinoFile.Write(path) print("completed saving")

Python

vinjn/llm-metahuman/audio-client/gen_protoc.py

import os import subprocess ROOT_DIR = os.path.dirname(os.path.abspath(__file__)) proto_src_root = os.path.normpath(os.path.join(ROOT_DIR, "proto/")) proto_dst_root = os.path.normpath(os.path.join(ROOT_DIR, ".")) proto_fpath = os.path.normpath(os.path.join(ROOT_DIR, "proto", "audio2face.proto")) cmd = [ "python", "-m", "grpc_tools.protoc", "-I", f"{proto_src_root}", f"--python_out={proto_dst_root}", f"--grpc_python_out={proto_dst_root}", f"{proto_fpath}", ] print(cmd) subprocess.call(cmd)

Python

vinjn/llm-metahuman/audio-client/llm.py

from openai import OpenAI from pydub import AudioSegment import gradio as gr import requests import os from litellm import completion import time import threading import queue import gradio_client as gc # XXX: increase requests speed # https://stackoverflow.com/a/72440253 requests.packages.urllib3.util.connection.HAS_IPV6 = False args = None CWD = os.getcwd() print("CWD:", CWD) VOICE_ACTORS = ["nova", "alloy", "echo", "fable", "onyx", "shimmer"] def timing_decorator(func): def wrapper(*args, **kwargs): start_time = time.time() result = func(*args, **kwargs) end_time = time.time() elapsed_time = end_time - start_time print(f"{func.__name__} cost: {elapsed_time:.2f} seconds.") return result return wrapper class A2fInstance: files_to_delete = [] instaces = [] def __init__(self, index) -> None: self.SERVICE_HEALTHY = False self.LIVELINK_SERVICE_HEALTHY = False self.index = index @timing_decorator def post(self, end_point, data=None, verbose=True): if not self.SERVICE_HEALTHY: return None if verbose: print(f"++ {end_point}") api_url = f"{self.base_url}/{end_point}" try: response = requests.post(api_url, json=data) if response and response.status_code == 200: if verbose: print(response.json()) return response.json() else: if verbose: print(f"Error: {response.status_code} - {response.text}") return {"Error": response.status_code, "Reason": response.text} except Exception as e: print(e) self.SERVICE_HEALTHY = False return None @timing_decorator def get(self, end_point, data=None, verbose=True): if not self.SERVICE_HEALTHY: return None if verbose: print(f"++ {end_point}") api_url = f"{self.base_url}/{end_point}" try: response = requests.get(api_url, json=data) if response.status_code == 200: if verbose: print(response.json()) return response.json() else: if verbose: print(f"Error: {response.status_code} - {response.text}") return {"Error": response.status_code, "Reason": response.text} except Exception as e: print(e) self.SERVICE_HEALTHY = False return None def player_setlooping(self, flag=True): self.post( "A2F/Player/SetLooping", {"a2f_player": args.a2f_player_id, "loop_audio": flag}, ) def player_play(self): self.post("A2F/Player/Play", {"a2f_player": args.a2f_player_id}) def player_pause(self): self.post("A2F/Player/Pause", {"a2f_player": args.a2f_player_id}) def player_setrootpath(self, dir_path): self.post( "A2F/Player/SetRootPath", {"a2f_player": args.a2f_player_id, "dir_path": dir_path}, ) def player_settrack(self, file_name): self.post( "A2F/Player/SetTrack", {"a2f_player": args.a2f_player_id, "file_name": file_name}, ) def player_gettracks(self): self.post("A2F/Player/GetTracks", {"a2f_player": args.a2f_player_id}) def player_gettime(self): response = self.post( "A2F/Player/GetTime", {"a2f_player": args.a2f_player_id}, False ) if response and response["status"] == "OK": return response["result"] else: return 0 def player_getrange(self): response = self.post( "A2F/Player/GetRange", {"a2f_player": args.a2f_player_id}, False ) if response and response["status"] == "OK": return response["result"]["work"] else: return (0, 0) def generatekeys(self): self.post("A2F/A2E/GenerateKeys", {"a2f_instance": args.a2f_instance_id}) def ActivateStreamLivelink(self, flag): self.post( "A2F/Exporter/ActivateStreamLivelink", {"node_path": args.a2f_livelink_id, "value": flag}, ) def IsStreamLivelinkConnected(self): response = self.post( "A2F/Exporter/IsStreamLivelinkConnected", {"node_path": args.a2f_livelink_id}, ) if response and response["status"] == "OK": return response["result"] else: return False def enable_audio_stream(self, flag): self.post( "A2F/Exporter/SetStreamLivelinkSettings", { "node_path": args.a2f_livelink_id, "values": {"enable_audio_stream": flag}, }, ) def set_livelink_ports( self, livelink_host, livelink_subject, livelink_port, livelink_audio_port, ): self.post( "A2F/Exporter/SetStreamLivelinkSettings", { "node_path": args.a2f_livelink_id, "values": { "livelink_host": livelink_host, "livelink_subject": livelink_subject, "livelink_port": livelink_port, "audio_port": livelink_audio_port, }, }, ) def get_preprocessing(self): response = self.post( "A2F/PRE/GetSettings", {"a2f_instance": args.a2f_instance_id}, ) if response and response["status"] == "OK": return response["result"] else: return {} def set_preprocessing(self, settings): settings["a2f_instance"] = args.a2f_instance_id self.post("A2F/PRE/SetSettings", settings) def get_postprocessing(self): response = self.post( "A2F/POST/GetSettings", {"a2f_instance": args.a2f_instance_id}, ) if response and response["status"] == "OK": return response["result"] else: return {} def set_postprocessing(self, settings): self.post( "A2F/POST/SetSettings", {"a2f_instance": args.a2f_instance_id, "settings": settings}, ) def setup(self): self.base_url = f"http://{args.a2f_host}:{args.a2f_port+self.index}" self.tts_voice = args.tts_voice if self.index > 0: # TODO: make it elegant self.tts_voice = VOICE_ACTORS[self.index % len(VOICE_ACTORS)] # always ping SERVICE_HEALTHY again in setup() self.SERVICE_HEALTHY = True self.ActivateStreamLivelink(True) if not self.SERVICE_HEALTHY: return self.player_setrootpath(CWD) self.player_setlooping(False) self.LIVELINK_SERVICE_HEALTHY = self.IsStreamLivelinkConnected() if not self.LIVELINK_SERVICE_HEALTHY: return self.enable_audio_stream(True) self.set_livelink_ports( args.livelink_host, f"{args.livelink_subject}-{self.index}", args.livelink_port + 10 * self.index, args.livelink_audio_port + 10 * self.index, ) pre_settings = self.get_preprocessing() pre_settings["prediction_delay"] = 0 pre_settings["blink_interval"] = 1.5 self.set_preprocessing(pre_settings) post_settings = self.get_postprocessing() post_settings["skin_strength"] = 1.3 self.set_postprocessing(post_settings) A2fInstance.instaces = [] openai_client = OpenAI() gc_client: gc.Client = None chat_ui: gr.ChatInterface = None def run_single_pipeline(a2f, answer, a2f_peer=None): global stop_current_a2f_play if not a2f_peer: a2f_peer = a2f # print(answer) mp3_file = text_to_mp3(answer, a2f.tts_voice) wav_file = mp3_to_wav(mp3_file) duration = a2f_peer.player_getrange()[1] position = a2f_peer.player_gettime() while position > 0 and position < duration: print(position, duration) if stop_current_a2f_play: print("stop_current_a2f_play") stop_current_a2f_play = False return time.sleep(1) position = a2f_peer.player_gettime() print("z") time.sleep(1) a2f.player_setrootpath(CWD) a2f.player_settrack(wav_file) # a2f_generatekeys() a2f.player_play() for file in A2fInstance.files_to_delete: try: os.remove(file) except Exception: pass A2fInstance.files_to_delete.clear() A2fInstance.files_to_delete.append(mp3_file) A2fInstance.files_to_delete.append(wav_file) current_speaker = -1 @timing_decorator def run_pipeline(answer): if args.a2f_instance_count == 1: run_single_pipeline(A2fInstance.instaces[0], answer) return global current_speaker if answer.startswith("("): current_speaker = -1 elif answer.startswith("A:"): current_speaker = 0 answer = answer[2:] elif answer.startswith("B:"): current_speaker = 1 answer = answer[2:] if current_speaker < 0 or current_speaker >= args.a2f_instance_count: return a2f = A2fInstance.instaces[current_speaker] if not a2f.SERVICE_HEALTHY: return run_single_pipeline(a2f, answer) @timing_decorator def text_to_mp3(text, voice): response = openai_client.audio.speech.create( model=args.tts_model, voice=voice, speed=args.tts_speed, input=text, ) timestamp = time.time() mp3_filename = f"{timestamp}.mp3" response.stream_to_file(mp3_filename) return mp3_filename @timing_decorator def mp3_to_wav(mp3_filename): sound = AudioSegment.from_mp3(mp3_filename) sound = sound.set_frame_rate(22050) wav_filename = f"{mp3_filename}.wav" sound.export(wav_filename, format="wav") return wav_filename @timing_decorator def get_completion(chat_history): response = completion( model=args.llm_model, messages=chat_history, api_base=args.llm_url, stream=args.llm_streaming, ) print(response) return response q = queue.Queue() cleanup_queue = False stop_current_a2f_play = False def pipeline_worker(): while True: print("--------------------------") global cleanup_queue global stop_current_a2f_play if cleanup_queue: while not q.empty(): item = q.get() q.task_done() if item == "cleanup_queue_token": break cleanup_queue = False stop_current_a2f_play = True item = q.get() if item == "cleanup_queue_token": continue print(f"Begin: {item}") run_pipeline(item) print(f"End: {item}") q.task_done() def talk_to_peer(message): if not gc_client: return result = gc_client.predict( message, api_name="/chat" # str in 'Message' Textbox component ) print(f"from peer: {result}") # chat_ui.textbox.submit(None, [result, result]) # chat_ui.textbox.submit() def predict(message, history): print("==========================") if message == "setup": str = "" for a2f in A2fInstance.instaces: a2f.setup() str += f"A2F running: {a2f.SERVICE_HEALTHY}\n" str += f"Live Link running: {a2f.LIVELINK_SERVICE_HEALTHY}\n" yield str return if message == "ping": for a2f in A2fInstance.instaces: a2f.post("") a2f.get("") yield "A2F ping" return if message == "redo": for a2f in A2fInstance.instaces: a2f.player_play() yield "A2F redo" return if message == "stop": global cleanup_queue cleanup_queue = True q.put("cleanup_queue_token") yield "stopped" return if message.startswith("peer"): items = message.split() if len(items) >= 2: gradio_port = int(items[1]) # TODO: support non localhost args.gradio_peer_url = f"http://{args.gradio_host}:{gradio_port}/" global gc_client gc_client = gc.Client(args.gradio_peer_url) yield f"I will chat with another llm-metahuman: {args.gradio_peer_url}" return history_openai_format = [] for human, assistant in history: history_openai_format.append({"role": "user", "content": human}) history_openai_format.append({"role": "assistant", "content": assistant}) history_openai_format.append({"role": "user", "content": message}) # start_time = time.time() response = get_completion(history_openai_format) yield ".." # global cleanup_queue # cleanup_queue = True # q.put("cleanup_queue_token") if args.llm_streaming: # create variables to collect the stream of chunks UNUSED_collected_chunks = [] collected_messages = [] complete_sentences = "" # iterate through the stream of events for chunk in response: # chunk_time = ( # time.time() - start_time # ) # calculate the time delay of the chunk UNUSED_collected_chunks.append(chunk) # save the event response chunk_message = chunk.choices[0].delta.content # extract the message if not chunk_message: continue collected_messages.append(chunk_message) # save the message # print( # f"Message {chunk_time:.2f} s after request: {chunk_message}" # ) # print the delay and text print(chunk_message) if chunk_message in [ ".", "!", "?", "。", "!", "？", ] or chunk_message.endswith("\n"): # if not chunk_message or "\n" in chunk_message: one_sentence = "".join([m for m in collected_messages if m is not None]) if len(one_sentence) < 10: # ignore short sentences continue collected_messages = [] complete_sentences += one_sentence q.put(one_sentence) # run_pipeline(one_sentence) yield complete_sentences talk_to_peer(one_sentence) # print the time delay and text received # print(f"Full response received {chunk_time:.2f} seconds after request") # # clean None in collected_messages # collected_messages = [m for m in collected_messages if m is not None] # full_reply_content = "".join([m for m in collected_messages]) # print(f"Full conversation received: {full_reply_content}") # yield full_reply_content else: if len(response.choices[0].message.content) == 0: return answer = response.choices[0].message.content yield answer run_pipeline(answer) def main(): import argparse parser = argparse.ArgumentParser(description="llm.py arguments") # gradio settings parser.add_argument("--a2f_instance_count", type=int, default=1) parser.add_argument("--gradio_host", default="localhost") parser.add_argument("--gradio_port", type=int, default=7860) parser.add_argument( "--gradio_peer_url", default=None, help="the gradio peer that this gradio instance will chat with. Default value is None, which means chat with a human.", ) # llm / litellm settings parser.add_argument("--llm_engine", default="gpt", choices=["gpt", "llama2"]) parser.add_argument( "--llm_model", default=None, help="https://docs.litellm.ai/docs/providers" ) parser.add_argument("--llm_url", default=None) parser.add_argument( "--llm_streaming", default=True, action=argparse.BooleanOptionalAction ) # audio2face settings parser.add_argument("--a2f_host", default="localhost") parser.add_argument("--a2f_port", default=8011, type=int) parser.add_argument("--a2f_instance_id", default="/World/audio2face/CoreFullface") parser.add_argument("--a2f_player_id", default="/World/audio2face/Player") parser.add_argument("--a2f_livelink_id", default="/World/audio2face/StreamLivelink") # tts settings parser.add_argument("--tts_model", default="tts-1", choices=["tts-1", "tts-1-hd"]) parser.add_argument("--tts_speed", default=1.1, type=float) # livelink settings parser.add_argument("--livelink_host", default="localhost") parser.add_argument("--livelink_port", default=12030, type=int) parser.add_argument("--livelink_subject", default="Audio2Face") parser.add_argument("--livelink_audio_port", default=12031, type=int) parser.add_argument( "--tts_voice", default="nova", choices=VOICE_ACTORS, help="https://platform.openai.com/docs/guides/text-to-speech", ) global args args = parser.parse_args() if not args.llm_model: if args.llm_engine == "gpt": args.llm_model = args.llm_model or "gpt-3.5-turbo" elif args.llm_engine == "llama2": args.llm_model = args.llm_model or "ollama/llama2" args.llm_url = args.llm_url or "http://localhost:11434" threading.Thread(target=pipeline_worker, daemon=True).start() for i in range(args.a2f_instance_count): a2f = A2fInstance(i) a2f.setup() A2fInstance.instaces.append(a2f) global chat_ui chat_ui = gr.ChatInterface( predict, title=f"llm-metahuman @{args.gradio_port}", examples=["hello", "tell me 3 jokes", "what's the meaning of life?"], ) chat_ui.queue().launch(server_name=args.gradio_host, server_port=args.gradio_port) q.join() if __name__ == "__main__": main()

Python

vinjn/llm-metahuman/audio-client/ref/pytts-demo.py

import pyttsx3 engine = pyttsx3.init() # object creation """ RATE""" rate = engine.getProperty("rate") # getting details of current speaking rate print(rate) # printing current voice rate engine.setProperty("rate", 125) # setting up new voice rate """VOLUME""" volume = engine.getProperty( "volume" ) # getting to know current volume level (min=0 and max=1) print(volume) # printing current volume level engine.setProperty("volume", 1.0) # setting up volume level between 0 and 1 """VOICE""" voices = engine.getProperty("voices") # getting details of current voice print(voices) engine.setProperty("voice", voices[0].id) # changing index, changes voices. o for male # engine.setProperty('voice', voices[1].id) #changing index, changes voices. 1 for female engine.say("Hello World!") engine.say("说什么 current speaking rate is " + str(rate)) engine.runAndWait() engine.stop() """Saving Voice to a file""" # On linux make sure that 'espeak' and 'ffmpeg' are installed engine.save_to_file("Hello World", "test.mp3") engine.runAndWait()

Python

vinjn/llm-metahuman/audio-client/ref/minimal-chatbot.py

import random import gradio as gr def alternatingly_agree(message, history): if len(history) % 2 == 0: return f"Yes, I do think that '{message}'" else: return "I don't think so" count = 0 def textbox_update(chatui_textbox): global count count += 1 if count % 10 == 0: return "z" else: return chatui_textbox if __name__ == "__main__": with gr.ChatInterface(alternatingly_agree) as chat_ui: chat_ui.textbox.change( textbox_update, chat_ui.textbox, chat_ui.textbox, every=1, trigger_mode="once", ) chat_ui.launch()

Python

vinjn/llm-metahuman/audio-client/ref/portal.py

import gradio as gr def task1(input_text): return "Task 1 Result: " + input_text def task2(input_image): return "Task 2 Result" def task3(input_image): return "Task 2 Result" # interface one iface1 = gr.Interface( fn=task1, inputs="text", outputs="text", title="Multi-Page Interface" ) # interface two iface2 = gr.Interface( fn=task2, inputs="image", outputs="text", title="Multi-Page Interface" ) tts_examples = [ "I love learning machine learning", "How do you do?", ] tts_demo = gr.load( "huggingface/facebook/fastspeech2-en-ljspeech", title=None, examples=tts_examples, description="Give me something to say!", cache_examples=False, ) stt_demo = gr.load( "huggingface/facebook/wav2vec2-base-960h", title=None, inputs="mic", description="Let me try to guess what you're saying!", ) demo = gr.TabbedInterface( [iface1, iface2, tts_demo, stt_demo], ["Text-to-text", "image-to-text", "Text-to-speech", "Speech-to-text"], ) # Run the interface demo.launch(share=True)

Python

vinjn/llm-metahuman/audio-client/ref/sine-curve.py

import math import gradio as gr import plotly.express as px import numpy as np plot_end = 2 * math.pi def get_plot(period=1): global plot_end x = np.arange(plot_end - 2 * math.pi, plot_end, 0.02) y = np.sin(2*math.pi*period * x) fig = px.line(x=x, y=y) plot_end += 2 * math.pi if plot_end > 1000: plot_end = 2 * math.pi return fig with gr.Blocks() as demo: with gr.Row(): with gr.Column(): gr.Markdown("Change the value of the slider to automatically update the plot") period = gr.Slider(label="Period of plot", value=1, minimum=0, maximum=10, step=1) plot = gr.Plot(label="Plot (updates every half second)") dep = demo.load(get_plot, None, plot, every=1) period.change(get_plot, period, plot, every=1, cancels=[dep]) if __name__ == "__main__": demo.queue().launch()

Python

mnaskret/omni-tetGen/mnresearch/tetgen/extension.py

import omni.ext import omni.ui as ui import omni.kit.commands as commands import pxr from pxr import Sdf import numpy as np import tetgenExt import os import math import warp as wp class MyExtension(omni.ext.IExt): fileUrl = '' def drop_accept(url, ext): # Accept drops of specific extension only print("File dropped") return url.endswith(ext) def drop(widget, event): widget.text = event.mime_data MyExtension.fileUrl = event.mime_data def drop_area(self, ext): # If drop is acceptable, the rectangle is blue style = {} style["Rectangle"] = {"background_color": 0xFF999999} style["Rectangle:drop"] = {"background_color": 0xFF994400} stack = ui.ZStack() with stack: ui.Rectangle(style=style) text = ui.Label(f"Accepts {ext}", alignment=ui.Alignment.CENTER, word_wrap=True) self.fileUrl = stack.set_accept_drop_fn(lambda d, e=ext: MyExtension.drop_accept(d, e)) stack.set_drop_fn(lambda a, w=text: MyExtension.drop(w, a)) def createMesh(usd_context, stage, meshName): commands.execute('CreateReferenceCommand', usd_context=usd_context, path_to='/World/' + meshName, asset_path=MyExtension.fileUrl, instanceable=True) prim = stage.GetPrimAtPath('/World/' + meshName + '/' + meshName + '/' + meshName) return prim def addAttributes(stage, prim, node, elem, face, edge, normals, colors, meshName): numberOfTris = int(face.shape[0] / 3) faceCount = np.full((numberOfTris), 3) mesh = pxr.PhysicsSchemaTools.createMesh(stage, pxr.Sdf.Path('/World/' + meshName + 'Mesh'), node.tolist(), normals.tolist(), face.tolist(), faceCount.tolist()) newPrim = stage.GetPrimAtPath('/World/' + meshName + 'Mesh') velocitiesNP = np.zeros_like(node) inverseMasses = np.ones(len(node), dtype=float) edgesRestLengths = np.zeros(len(edge), dtype=float) tetrahedronsRestVolumes = np.zeros(len(elem), dtype=float) for i in range(len(edge)): edgesRestLengths[i] = np.linalg.norm(node[edge[i][0]] - node[edge[i][1]]) for i in range(len(elem)): tetrahedronPositionA = node[elem[i][0]] tetrahedronPositionB = node[elem[i][1]] tetrahedronPositionC = node[elem[i][2]] tetrahedronPositionD = node[elem[i][3]] p1 = tetrahedronPositionB - tetrahedronPositionA p2 = tetrahedronPositionC - tetrahedronPositionA p3 = tetrahedronPositionD - tetrahedronPositionA volume = wp.dot(wp.cross(p1, p2), p3) / 6.0 tetrahedronsRestVolumes[i] = volume velocitiesValue = pxr.Vt.Vec3fArray().FromNumpy(velocitiesNP) elemValue = pxr.Vt.Vec4iArray().FromNumpy(elem) edgeValue = pxr.Vt.Vec2iArray().FromNumpy(edge) edgesRestLengthsValue = pxr.Vt.FloatArray().FromNumpy(edgesRestLengths) inverseMassesValue = pxr.Vt.FloatArray().FromNumpy(inverseMasses) tetrahedronsRestVolumesValue = pxr.Vt.FloatArray().FromNumpy(tetrahedronsRestVolumes) elemAtt = newPrim.CreateAttribute('elem', Sdf.ValueTypeNames.Int4Array) edgeAtt = newPrim.CreateAttribute('edge', Sdf.ValueTypeNames.Int2Array) edgesRestLengthsAtt = newPrim.CreateAttribute('edgesRestLengths', Sdf.ValueTypeNames.FloatArray) inverseMassesAtt = newPrim.CreateAttribute('inverseMasses', Sdf.ValueTypeNames.FloatArray) tetrahedronsRestVolumesAtt = newPrim.CreateAttribute('tetrahedronsRestVolumes', Sdf.ValueTypeNames.FloatArray) velocitiesAtt = newPrim.GetAttribute('velocities') velocitiesAtt.Set(velocitiesValue) elemAtt.Set(elemValue) edgeAtt.Set(edgeValue) edgesRestLengthsAtt.Set(edgesRestLengthsValue) inverseMassesAtt.Set(inverseMassesValue) tetrahedronsRestVolumesAtt.Set(tetrahedronsRestVolumesValue) return mesh, newPrim def extractMeshDataToNP(prim): points = prim.GetAttribute('points').Get() faces = prim.GetAttribute('faceVertexIndices').Get() pointsNP = np.array(points, dtype=float) facesNP = np.array(faces, dtype=int) facesNP = facesNP.reshape((-1, 3)) return pointsNP, facesNP def setPLC(self, value): self.PLC = value def setQuality(self, value): self.Quality = value def cross(a, b): c = [a[1]*b[2] - a[2]*b[1], a[2]*b[0] - a[0]*b[2], a[0]*b[1] - a[1]*b[0]] return c def calculateNormals(node, face): numberOfTris = int(face.shape[0] / 3) normals = np.empty_like(node) for i in range(numberOfTris): pIdA = face[i][0] pIdB = face[i][1] pIdC = face[i][2] pA = node[pIdA] pB = node[pIdB] pC = node[pIdC] vA = pB - pA vB = pC - pA normal = MyExtension.cross(vA, vB) normalized = np.linalg.norm(normal) normals[pIdA] += normalized normals[pIdB] += normalized normals[pIdC] += normalized return normals def on_startup(self, ext_id): print("[mnresearch.tetgen] MyExtension startup") self._window = ui.Window("Tetrahedralizer", width=300, height=300) with self._window.frame: self.PLC = False self.Quality = False with ui.VStack(): MyExtension.drop_area(self, ".obj") with ui.HStack(): ui.Label("PLC", height=0) plcCB = ui.CheckBox(width=20) plcCB.model.add_value_changed_fn( lambda a: MyExtension.setPLC(self, a.get_value_as_bool())) with ui.HStack(): ui.Label("Quality", height=0) qualityCB = ui.CheckBox(width=20) qualityCB.model.add_value_changed_fn( lambda a: MyExtension.setQuality(self, a.get_value_as_bool())) def on_click(): print("clicked!") self.usd_context = omni.usd.get_context() self.stage = self.usd_context.get_stage() if MyExtension.fileUrl != "": meshName = MyExtension.fileUrl.split(os.sep)[-1][:-4] prim = MyExtension.createMesh(self.usd_context, self.stage, meshName) points, faces = MyExtension.extractMeshDataToNP(prim) tet = tetgenExt.TetGen(points, faces) print('Running tetGen on: ', MyExtension.fileUrl, '\nwith options:', 'PLC: ', self.PLC, '\nQuality: ', self.Quality) node, elem, face, edge = tet.tetrahedralize(quality=True, plc=True, facesout=1, edgesout=1) normals = MyExtension.calculateNormals(node, face) colors = np.ones_like(normals) face = face.ravel() mesh, newPrim = MyExtension.addAttributes(self.stage, prim, node, elem, face, edge, normals, colors, meshName) pxr.Usd.Stage.RemovePrim(self.stage, '/World/' + meshName) ui.Button("Generate tetrahedral mesh", clicked_fn=lambda: on_click()) def on_shutdown(self): print("[mnresearch.tetgen] MyExtension shutdown")

Python

mnaskret/omni-tetGen/mnresearch/tetgen/PBDBasicGravityDatabase.py

"""Support for simplified access to data on nodes of type mnresearch.tetgen.PBDBasicGravity PBDBasicGravity """ import omni.graph.core as og import traceback import sys import numpy class PBDBasicGravityDatabase(og.Database): """Helper class providing simplified access to data on nodes of type mnresearch.tetgen.PBDBasicGravity Class Members: node: Node being evaluated Attribute Value Properties: Inputs: inputs.edge inputs.edgesRestLengths inputs.elem inputs.gravity inputs.ground inputs.inverseMasses inputs.ks_distance inputs.ks_volume inputs.num_substeps inputs.points inputs.sim_constraints inputs.tetrahedronsRestVolumes inputs.velocities inputs.velocity_dampening Outputs: outputs.points outputs.velocities """ # This is an internal object that provides per-class storage of a per-node data dictionary PER_NODE_DATA = {} # This is an internal object that describes unchanging attributes in a generic way # The values in this list are in no particular order, as a per-attribute tuple # Name, Type, ExtendedTypeIndex, UiName, Description, Metadata, Is_Required, DefaultValue # You should not need to access any of this data directly, use the defined database interfaces INTERFACE = og.Database._get_interface([ ('inputs:edge', 'int2[]', 0, None, 'Input edges', {og.MetadataKeys.DEFAULT: '[]'}, True, []), ('inputs:edgesRestLengths', 'float[]', 0, None, 'Input edges rest lengths', {og.MetadataKeys.DEFAULT: '[]'}, True, []), ('inputs:elem', 'int4[]', 0, None, 'Input tetrahedrons', {og.MetadataKeys.DEFAULT: '[]'}, True, []), ('inputs:gravity', 'vector3f', 0, None, 'Gravity constant', {og.MetadataKeys.DEFAULT: '[0.0, -9.8, 0.0]'}, True, [0.0, -9.8, 0.0]), ('inputs:ground', 'float', 0, None, 'Ground level', {og.MetadataKeys.DEFAULT: '-100.0'}, True, -100.0), ('inputs:inverseMasses', 'float[]', 0, None, 'Inverse masses', {og.MetadataKeys.DEFAULT: '[]'}, True, []), ('inputs:ks_distance', 'float', 0, None, '', {og.MetadataKeys.DEFAULT: '1.0'}, True, 1.0), ('inputs:ks_volume', 'float', 0, None, '', {og.MetadataKeys.DEFAULT: '1.0'}, True, 1.0), ('inputs:num_substeps', 'int', 0, None, '', {og.MetadataKeys.DEFAULT: '8'}, True, 8), ('inputs:points', 'point3f[]', 0, None, 'Input points', {og.MetadataKeys.DEFAULT: '[]'}, True, []), ('inputs:sim_constraints', 'int', 0, None, '', {og.MetadataKeys.DEFAULT: '1'}, True, 1), ('inputs:tetrahedronsRestVolumes', 'float[]', 0, None, 'Input tetrahedrons rest volumes', {og.MetadataKeys.DEFAULT: '[]'}, True, []), ('inputs:velocities', 'vector3f[]', 0, None, 'Input velocities', {og.MetadataKeys.DEFAULT: '[]'}, True, []), ('inputs:velocity_dampening', 'float', 0, None, '', {og.MetadataKeys.DEFAULT: '0.1'}, True, 0.1), ('outputs:points', 'point3f[]', 0, None, 'Output points', {}, True, None), ('outputs:velocities', 'vector3f[]', 0, None, 'Output velocities', {}, True, None), ]) @classmethod def _populate_role_data(cls): """Populate a role structure with the non-default roles on this node type""" role_data = super()._populate_role_data() role_data.inputs.gravity = og.Database.ROLE_VECTOR role_data.inputs.points = og.Database.ROLE_POINT role_data.inputs.velocities = og.Database.ROLE_VECTOR role_data.outputs.points = og.Database.ROLE_POINT role_data.outputs.velocities = og.Database.ROLE_VECTOR return role_data class ValuesForInputs(og.DynamicAttributeAccess): """Helper class that creates natural hierarchical access to input attributes""" def __init__(self, node: og.Node, attributes, dynamic_attributes: og.DynamicAttributeInterface): """Initialize simplified access for the attribute data""" context = node.get_graph().get_default_graph_context() super().__init__(context, node, attributes, dynamic_attributes) @property def edge(self): data_view = og.AttributeValueHelper(self._attributes.edge) return data_view.get() @edge.setter def edge(self, value): if self._setting_locked: raise og.ReadOnlyError(self._attributes.edge) data_view = og.AttributeValueHelper(self._attributes.edge) data_view.set(value) self.edge_size = data_view.get_array_size() @property def edgesRestLengths(self): data_view = og.AttributeValueHelper(self._attributes.edgesRestLengths) return data_view.get() @edgesRestLengths.setter def edgesRestLengths(self, value): if self._setting_locked: raise og.ReadOnlyError(self._attributes.edgesRestLengths) data_view = og.AttributeValueHelper(self._attributes.edgesRestLengths) data_view.set(value) self.edgesRestLengths_size = data_view.get_array_size() @property def elem(self): data_view = og.AttributeValueHelper(self._attributes.elem) return data_view.get() @elem.setter def elem(self, value): if self._setting_locked: raise og.ReadOnlyError(self._attributes.elem) data_view = og.AttributeValueHelper(self._attributes.elem) data_view.set(value) self.elem_size = data_view.get_array_size() @property def gravity(self): data_view = og.AttributeValueHelper(self._attributes.gravity) return data_view.get() @gravity.setter def gravity(self, value): if self._setting_locked: raise og.ReadOnlyError(self._attributes.gravity) data_view = og.AttributeValueHelper(self._attributes.gravity) data_view.set(value) @property def ground(self): data_view = og.AttributeValueHelper(self._attributes.ground) return data_view.get() @ground.setter def ground(self, value): if self._setting_locked: raise og.ReadOnlyError(self._attributes.ground) data_view = og.AttributeValueHelper(self._attributes.ground) data_view.set(value) @property def inverseMasses(self): data_view = og.AttributeValueHelper(self._attributes.inverseMasses) return data_view.get() @inverseMasses.setter def inverseMasses(self, value): if self._setting_locked: raise og.ReadOnlyError(self._attributes.inverseMasses) data_view = og.AttributeValueHelper(self._attributes.inverseMasses) data_view.set(value) self.inverseMasses_size = data_view.get_array_size() @property def ks_distance(self): data_view = og.AttributeValueHelper(self._attributes.ks_distance) return data_view.get() @ks_distance.setter def ks_distance(self, value): if self._setting_locked: raise og.ReadOnlyError(self._attributes.ks_distance) data_view = og.AttributeValueHelper(self._attributes.ks_distance) data_view.set(value) @property def ks_volume(self): data_view = og.AttributeValueHelper(self._attributes.ks_volume) return data_view.get() @ks_volume.setter def ks_volume(self, value): if self._setting_locked: raise og.ReadOnlyError(self._attributes.ks_volume) data_view = og.AttributeValueHelper(self._attributes.ks_volume) data_view.set(value) @property def num_substeps(self): data_view = og.AttributeValueHelper(self._attributes.num_substeps) return data_view.get() @num_substeps.setter def num_substeps(self, value): if self._setting_locked: raise og.ReadOnlyError(self._attributes.num_substeps) data_view = og.AttributeValueHelper(self._attributes.num_substeps) data_view.set(value) @property def points(self): data_view = og.AttributeValueHelper(self._attributes.points) return data_view.get() @points.setter def points(self, value): if self._setting_locked: raise og.ReadOnlyError(self._attributes.points) data_view = og.AttributeValueHelper(self._attributes.points) data_view.set(value) self.points_size = data_view.get_array_size() @property def sim_constraints(self): data_view = og.AttributeValueHelper(self._attributes.sim_constraints) return data_view.get() @sim_constraints.setter def sim_constraints(self, value): if self._setting_locked: raise og.ReadOnlyError(self._attributes.sim_constraints) data_view = og.AttributeValueHelper(self._attributes.sim_constraints) data_view.set(value) @property def tetrahedronsRestVolumes(self): data_view = og.AttributeValueHelper(self._attributes.tetrahedronsRestVolumes) return data_view.get() @tetrahedronsRestVolumes.setter def tetrahedronsRestVolumes(self, value): if self._setting_locked: raise og.ReadOnlyError(self._attributes.tetrahedronsRestVolumes) data_view = og.AttributeValueHelper(self._attributes.tetrahedronsRestVolumes) data_view.set(value) self.tetrahedronsRestVolumes_size = data_view.get_array_size() @property def velocities(self): data_view = og.AttributeValueHelper(self._attributes.velocities) return data_view.get() @velocities.setter def velocities(self, value): if self._setting_locked: raise og.ReadOnlyError(self._attributes.velocities) data_view = og.AttributeValueHelper(self._attributes.velocities) data_view.set(value) self.velocities_size = data_view.get_array_size() @property def velocity_dampening(self): data_view = og.AttributeValueHelper(self._attributes.velocity_dampening) return data_view.get() @velocity_dampening.setter def velocity_dampening(self, value): if self._setting_locked: raise og.ReadOnlyError(self._attributes.velocity_dampening) data_view = og.AttributeValueHelper(self._attributes.velocity_dampening) data_view.set(value) class ValuesForOutputs(og.DynamicAttributeAccess): """Helper class that creates natural hierarchical access to output attributes""" def __init__(self, node: og.Node, attributes, dynamic_attributes: og.DynamicAttributeInterface): """Initialize simplified access for the attribute data""" context = node.get_graph().get_default_graph_context() super().__init__(context, node, attributes, dynamic_attributes) self.points_size = None self.velocities_size = None @property def points(self): data_view = og.AttributeValueHelper(self._attributes.points) return data_view.get(reserved_element_count = self.points_size) @points.setter def points(self, value): data_view = og.AttributeValueHelper(self._attributes.points) data_view.set(value) self.points_size = data_view.get_array_size() @property def velocities(self): data_view = og.AttributeValueHelper(self._attributes.velocities) return data_view.get(reserved_element_count = self.velocities_size) @velocities.setter def velocities(self, value): data_view = og.AttributeValueHelper(self._attributes.velocities) data_view.set(value) self.velocities_size = data_view.get_array_size() class ValuesForState(og.DynamicAttributeAccess): """Helper class that creates natural hierarchical access to state attributes""" def __init__(self, node: og.Node, attributes, dynamic_attributes: og.DynamicAttributeInterface): """Initialize simplified access for the attribute data""" context = node.get_graph().get_default_graph_context() super().__init__(context, node, attributes, dynamic_attributes) def __init__(self, node): super().__init__(node) dynamic_attributes = self.dynamic_attribute_data(node, og.AttributePortType.ATTRIBUTE_PORT_TYPE_INPUT) self.inputs = PBDBasicGravityDatabase.ValuesForInputs(node, self.attributes.inputs, dynamic_attributes) dynamic_attributes = self.dynamic_attribute_data(node, og.AttributePortType.ATTRIBUTE_PORT_TYPE_OUTPUT) self.outputs = PBDBasicGravityDatabase.ValuesForOutputs(node, self.attributes.outputs, dynamic_attributes) dynamic_attributes = self.dynamic_attribute_data(node, og.AttributePortType.ATTRIBUTE_PORT_TYPE_STATE) self.state = PBDBasicGravityDatabase.ValuesForState(node, self.attributes.state, dynamic_attributes) class abi: """Class defining the ABI interface for the node type""" @staticmethod def get_node_type(): get_node_type_function = getattr(PBDBasicGravityDatabase.NODE_TYPE_CLASS, 'get_node_type', None) if callable(get_node_type_function): return get_node_type_function() return 'mnresearch.tetgen.PBDBasicGravity' @staticmethod def compute(context, node): db = PBDBasicGravityDatabase(node) try: db.inputs._setting_locked = True compute_function = getattr(PBDBasicGravityDatabase.NODE_TYPE_CLASS, 'compute', None) if callable(compute_function) and compute_function.__code__.co_argcount > 1: return compute_function(context, node) return PBDBasicGravityDatabase.NODE_TYPE_CLASS.compute(db) except Exception as error: stack_trace = "".join(traceback.format_tb(sys.exc_info()[2].tb_next)) db.log_error(f'Assertion raised in compute - {error}\n{stack_trace}', add_context=False) finally: db.inputs._setting_locked = False return False @staticmethod def initialize(context, node): PBDBasicGravityDatabase._initialize_per_node_data(node) # Set any default values the attributes have specified if not node._do_not_use(): db = PBDBasicGravityDatabase(node) db.inputs.edge = [] db.inputs.edgesRestLengths = [] db.inputs.elem = [] db.inputs.gravity = [0.0, -9.8, 0.0] db.inputs.ground = -100.0 db.inputs.inverseMasses = [] db.inputs.ks_distance = 1.0 db.inputs.ks_volume = 1.0 db.inputs.num_substeps = 8 db.inputs.points = [] db.inputs.sim_constraints = 1 db.inputs.tetrahedronsRestVolumes = [] db.inputs.velocities = [] db.inputs.velocity_dampening = 0.1 initialize_function = getattr(PBDBasicGravityDatabase.NODE_TYPE_CLASS, 'initialize', None) if callable(initialize_function): initialize_function(context, node) @staticmethod def release(node): release_function = getattr(PBDBasicGravityDatabase.NODE_TYPE_CLASS, 'release', None) if callable(release_function): release_function(node) PBDBasicGravityDatabase._release_per_node_data(node) @staticmethod def update_node_version(context, node, old_version, new_version): update_node_version_function = getattr(PBDBasicGravityDatabase.NODE_TYPE_CLASS, 'update_node_version', None) if callable(update_node_version_function): return update_node_version_function(context, node, old_version, new_version) return False @staticmethod def initialize_type(node_type): initialize_type_function = getattr(PBDBasicGravityDatabase.NODE_TYPE_CLASS, 'initialize_type', None) needs_initializing = True if callable(initialize_type_function): needs_initializing = initialize_type_function(node_type) if needs_initializing: node_type.set_metadata(og.MetadataKeys.EXTENSION, "mnresearch.tetgen") node_type.set_metadata(og.MetadataKeys.UI_NAME, "PBDBasicGravity") node_type.set_metadata(og.MetadataKeys.DESCRIPTION, "PBDBasicGravity") node_type.set_metadata(og.MetadataKeys.LANGUAGE, "Python") PBDBasicGravityDatabase.INTERFACE.add_to_node_type(node_type) @staticmethod def on_connection_type_resolve(node): on_connection_type_resolve_function = getattr(PBDBasicGravityDatabase.NODE_TYPE_CLASS, 'on_connection_type_resolve', None) if callable(on_connection_type_resolve_function): on_connection_type_resolve_function(node) NODE_TYPE_CLASS = None GENERATOR_VERSION = (1, 4, 0) TARGET_VERSION = (2, 29, 1) @staticmethod def register(node_type_class): PBDBasicGravityDatabase.NODE_TYPE_CLASS = node_type_class og.register_node_type(PBDBasicGravityDatabase.abi, 1) @staticmethod def deregister(): og.deregister_node_type("mnresearch.tetgen.PBDBasicGravity")

Python

mnaskret/omni-tetGen/mnresearch/tetgen/ogn/nodes/PBDBasicGravity.py

""" This is the implementation of the OGN node defined in OgnNewNode.ogn """ # Array or tuple values are accessed as numpy arrays so you probably need this import import math import numpy as np import warp as wp import omni.timeline from pxr import Usd, UsdGeom, Gf, Sdf @wp.kernel def boundsKer(predictedPositions: wp.array(dtype=wp.vec3), groundLevel: float): tid = wp.tid() x = predictedPositions[tid] if(x[1] < groundLevel): predictedPositions[tid] = wp.vec3(x[0], groundLevel, x[2]) @wp.kernel def PBDStepKer(positions: wp.array(dtype=wp.vec3), predictedPositions: wp.array(dtype=wp.vec3), velocities: wp.array(dtype=wp.vec3), dT: float): tid = wp.tid() x = positions[tid] xPred = predictedPositions[tid] v = (xPred - x)*(1.0/dT) x = xPred positions[tid] = x velocities[tid] = v @wp.kernel def gravityKer(positions: wp.array(dtype=wp.vec3), predictedPositions: wp.array(dtype=wp.vec3), velocities: wp.array(dtype=wp.vec3), gravityConstant: wp.vec3, velocityDampening: float, dt: float): tid = wp.tid() x = positions[tid] v = velocities[tid] velocityDampening = 1.0 - velocityDampening v = v + gravityConstant*dt*velocityDampening xPred = x + v*dt predictedPositions[tid] = xPred @wp.kernel def distanceConstraints(predictedPositions: wp.array(dtype=wp.vec3), dP: wp.array(dtype=wp.vec3), constraintsNumber: wp.array(dtype=int), edgesA: wp.array(dtype=int), edgesB: wp.array(dtype=int), edgesRestLengths: wp.array(dtype=float), inverseMasses: wp.array(dtype=float), kS: float): tid = wp.tid() edgeIndexA = edgesA[tid] edgeIndexB = edgesB[tid] edgePositionA = predictedPositions[edgeIndexA] edgePositionB = predictedPositions[edgeIndexB] edgeRestLength = edgesRestLengths[tid] dir = edgePositionA - edgePositionB len = wp.length(dir) inverseMass = inverseMasses[edgeIndexA] + inverseMasses[edgeIndexB] edgeDP = (len-edgeRestLength) * wp.normalize(dir) * kS / inverseMass wp.atomic_sub(dP, edgeIndexA, edgeDP) wp.atomic_add(dP, edgeIndexB, edgeDP) wp.atomic_add(constraintsNumber, edgeIndexA, 1) wp.atomic_add(constraintsNumber, edgeIndexB, 1) @wp.kernel def volumeConstraints(predictedPositions: wp.array(dtype=wp.vec3), dP: wp.array(dtype=wp.vec3), constraintsNumber: wp.array(dtype=int), tetrahedronsA: wp.array(dtype=int), tetrahedronsB: wp.array(dtype=int), tetrahedronsC: wp.array(dtype=int), tetrahedronsD: wp.array(dtype=int), tetrahedronsRestVolumes: wp.array(dtype=float), inverseMasses: wp.array(dtype=float), kS: float): tid = wp.tid() tetrahedronIndexA = tetrahedronsA[tid] tetrahedronIndexB = tetrahedronsB[tid] tetrahedronIndexC = tetrahedronsC[tid] tetrahedronIndexD = tetrahedronsD[tid] tetrahedronPositionA = predictedPositions[tetrahedronIndexA] tetrahedronPositionB = predictedPositions[tetrahedronIndexB] tetrahedronPositionC = predictedPositions[tetrahedronIndexC] tetrahedronPositionD = predictedPositions[tetrahedronIndexD] tetrahedronRestVolume = tetrahedronsRestVolumes[tid] p1 = tetrahedronPositionB - tetrahedronPositionA p2 = tetrahedronPositionC - tetrahedronPositionA p3 = tetrahedronPositionD - tetrahedronPositionA q2 = wp.cross(p3, p1) q1 = wp.cross(p2, p3) q3 = wp.cross(p1, p2) q0 = - q1 - q2 - q3 mA = inverseMasses[tetrahedronIndexA] mB = inverseMasses[tetrahedronIndexB] mC = inverseMasses[tetrahedronIndexC] mD = inverseMasses[tetrahedronIndexD] volume = wp.dot(wp.cross(p1, p2), p3) / 6.0 lambd = mA * wp.dot(q0, q0) + mB * wp.dot(q1, q1) + mC * wp.dot(q2, q2) + mD * wp.dot(q3, q3) lambd = kS * (volume - tetrahedronRestVolume) / lambd wp.atomic_sub(dP, tetrahedronIndexA, q0 * lambd * mA) wp.atomic_sub(dP, tetrahedronIndexB, q1 * lambd * mB) wp.atomic_sub(dP, tetrahedronIndexC, q2 * lambd * mC) wp.atomic_sub(dP, tetrahedronIndexD, q3 * lambd * mD) wp.atomic_add(constraintsNumber, tetrahedronIndexA, 1) wp.atomic_add(constraintsNumber, tetrahedronIndexB, 1) wp.atomic_add(constraintsNumber, tetrahedronIndexC, 1) wp.atomic_add(constraintsNumber, tetrahedronIndexD, 1) @wp.kernel def applyConstraints(predictedPositions: wp.array(dtype=wp.vec3), dP: wp.array(dtype=wp.vec3), constraintsNumber: wp.array(dtype=int)): tid = wp.tid() if(constraintsNumber[tid] > 0): tmpDP = dP[tid] N = float(constraintsNumber[tid]) DP = wp.vec3(tmpDP[0]/N, tmpDP[1]/N, tmpDP[2]/N) predictedPositions[tid] = predictedPositions[tid] + DP dP[tid] = wp.vec3(0.0, 0.0, 0.0) constraintsNumber[tid] = 0 class PBDBasicGravity: @staticmethod def compute(db) -> bool: timeline = omni.timeline.get_timeline_interface() device = "cuda" # # reset on stop # if (timeline.is_stopped()): # context.reset() # initialization if (timeline.is_playing()): with wp.ScopedCudaGuard(): gravity = db.inputs.gravity velocity_dampening = db.inputs.velocity_dampening ground = db.inputs.ground kSDistance = db.inputs.ks_distance kSVolume = db.inputs.ks_volume # convert node inputs to a GPU array positions = wp.array(db.inputs.points, dtype=wp.vec3, device=device) predictedPositions = wp.zeros_like(positions) velocities = wp.array(db.inputs.velocities, dtype=wp.vec3, device=device) inverseMasses = wp.array(db.inputs.inverseMasses, dtype=float, device=device) dP = wp.zeros_like(positions) constraintsNumber = wp.zeros(len(dP), dtype=int, device=device) edgesSplit = np.hsplit(db.inputs.edge, 2) edgesA = wp.array(edgesSplit[0], dtype=int, device=device) edgesB = wp.array(edgesSplit[1], dtype=int, device=device) edgesRestLengths = wp.array(db.inputs.edgesRestLengths, dtype=float, device=device) tetrahedronsSplit = np.hsplit(db.inputs.elem, 4) tetrahedronsA = wp.array(tetrahedronsSplit[0], dtype=int, device=device) tetrahedronsB = wp.array(tetrahedronsSplit[1], dtype=int, device=device) tetrahedronsC = wp.array(tetrahedronsSplit[2], dtype=int, device=device) tetrahedronsD = wp.array(tetrahedronsSplit[3], dtype=int, device=device) tetrahedronsRestVolumes = wp.array(db.inputs.tetrahedronsRestVolumes, dtype=float, device=device) # step simulation with wp.ScopedTimer("Simulate", active=False): # simulate sim_substeps = db.inputs.num_substeps sim_constraints = db.inputs.sim_constraints sim_dt = (1.0/30)/sim_substeps for i in range(sim_substeps): # simulate wp.launch(kernel=gravityKer, dim=len(positions), inputs=[positions, predictedPositions, velocities, gravity, velocity_dampening, sim_dt], device=device) for j in range(sim_constraints): wp.launch( kernel=volumeConstraints, dim=len(tetrahedronsA), inputs=[predictedPositions, dP, constraintsNumber, tetrahedronsA, tetrahedronsB, tetrahedronsC, tetrahedronsD, tetrahedronsRestVolumes, inverseMasses, kSVolume], device=device) wp.launch( kernel=distanceConstraints, dim=len(edgesA), inputs=[predictedPositions, dP, constraintsNumber, edgesA, edgesB, edgesRestLengths, inverseMasses, kSDistance], device=device) wp.launch( kernel=applyConstraints, dim=len(positions), inputs=[predictedPositions, dP, constraintsNumber], device=device) wp.launch(kernel=boundsKer, dim=len(predictedPositions), inputs=[predictedPositions, ground], device=device) wp.launch(kernel=PBDStepKer, dim=len(positions), inputs=[positions, predictedPositions, velocities, sim_dt], device=device) # write node outputs db.outputs.points = positions.numpy() db.outputs.velocities = velocities.numpy() else: with wp.ScopedTimer("Write", active=False): # timeline not playing and sim. not yet initialized, just pass through outputs db.outputs.points = db.inputs.points db.outputs.velocities = db.inputs.velocities

Python

mnaskret/omni-tetGen/mnresearch/tetgen/ogn/tests/TestPBDBasicGravity.py

import omni.kit.test import omni.graph.core as og import omni.graph.core.tests as ogts import os import carb class TestOgn(ogts.test_case_class(use_schema_prims=True, allow_implicit_graph=False)): async def test_import(self): import mnresearch.tetgen.ogn.PBDBasicGravityDatabase self.assertTrue(hasattr(mnresearch.tetgen.ogn.PBDBasicGravityDatabase, "PBDBasicGravityDatabase")) async def test_usda(self): test_file_name = "PBDBasicGravityTemplate.usda" usd_path = os.path.join(os.path.dirname(__file__), "usd", test_file_name) if not os.path.exists(usd_path): self.assertTrue(False, f"{usd_path} not found for loading test") (result, error) = await ogts.load_test_file(usd_path) self.assertTrue(result, f'{error} on {usd_path}') test_node = og.Controller.node("/TestGraph/Template_mnresearch_tetgen_PBDBasicGravity") self.assertTrue(test_node.is_valid()) node_type_name = test_node.get_type_name() self.assertEqual(og.GraphRegistry().get_node_type_version(node_type_name), 1) self.assertTrue(test_node.get_attribute_exists("inputs:edge")) input_attr = test_node.get_attribute("inputs:edge") actual_input = og.Controller.get(input_attr) ogts.verify_values([], actual_input, "mnresearch.tetgen.PBDBasicGravity USD load test - inputs:edge attribute value error") self.assertTrue(test_node.get_attribute_exists("inputs:edgesRestLengths")) input_attr = test_node.get_attribute("inputs:edgesRestLengths") actual_input = og.Controller.get(input_attr) ogts.verify_values([], actual_input, "mnresearch.tetgen.PBDBasicGravity USD load test - inputs:edgesRestLengths attribute value error") self.assertTrue(test_node.get_attribute_exists("inputs:elem")) input_attr = test_node.get_attribute("inputs:elem") actual_input = og.Controller.get(input_attr) ogts.verify_values([], actual_input, "mnresearch.tetgen.PBDBasicGravity USD load test - inputs:elem attribute value error") self.assertTrue(test_node.get_attribute_exists("inputs:gravity")) input_attr = test_node.get_attribute("inputs:gravity") actual_input = og.Controller.get(input_attr) ogts.verify_values([0.0, -9.8, 0.0], actual_input, "mnresearch.tetgen.PBDBasicGravity USD load test - inputs:gravity attribute value error") self.assertTrue(test_node.get_attribute_exists("inputs:ground")) input_attr = test_node.get_attribute("inputs:ground") actual_input = og.Controller.get(input_attr) ogts.verify_values(-100.0, actual_input, "mnresearch.tetgen.PBDBasicGravity USD load test - inputs:ground attribute value error") self.assertTrue(test_node.get_attribute_exists("inputs:inverseMasses")) input_attr = test_node.get_attribute("inputs:inverseMasses") actual_input = og.Controller.get(input_attr) ogts.verify_values([], actual_input, "mnresearch.tetgen.PBDBasicGravity USD load test - inputs:inverseMasses attribute value error") self.assertTrue(test_node.get_attribute_exists("inputs:ks_distance")) input_attr = test_node.get_attribute("inputs:ks_distance") actual_input = og.Controller.get(input_attr) ogts.verify_values(1.0, actual_input, "mnresearch.tetgen.PBDBasicGravity USD load test - inputs:ks_distance attribute value error") self.assertTrue(test_node.get_attribute_exists("inputs:ks_volume")) input_attr = test_node.get_attribute("inputs:ks_volume") actual_input = og.Controller.get(input_attr) ogts.verify_values(1.0, actual_input, "mnresearch.tetgen.PBDBasicGravity USD load test - inputs:ks_volume attribute value error") self.assertTrue(test_node.get_attribute_exists("inputs:num_substeps")) input_attr = test_node.get_attribute("inputs:num_substeps") actual_input = og.Controller.get(input_attr) ogts.verify_values(8, actual_input, "mnresearch.tetgen.PBDBasicGravity USD load test - inputs:num_substeps attribute value error") self.assertTrue(test_node.get_attribute_exists("inputs:points")) input_attr = test_node.get_attribute("inputs:points") actual_input = og.Controller.get(input_attr) ogts.verify_values([], actual_input, "mnresearch.tetgen.PBDBasicGravity USD load test - inputs:points attribute value error") self.assertTrue(test_node.get_attribute_exists("inputs:sim_constraints")) input_attr = test_node.get_attribute("inputs:sim_constraints") actual_input = og.Controller.get(input_attr) ogts.verify_values(1, actual_input, "mnresearch.tetgen.PBDBasicGravity USD load test - inputs:sim_constraints attribute value error") self.assertTrue(test_node.get_attribute_exists("inputs:tetrahedronsRestVolumes")) input_attr = test_node.get_attribute("inputs:tetrahedronsRestVolumes") actual_input = og.Controller.get(input_attr) ogts.verify_values([], actual_input, "mnresearch.tetgen.PBDBasicGravity USD load test - inputs:tetrahedronsRestVolumes attribute value error") self.assertTrue(test_node.get_attribute_exists("inputs:velocities")) input_attr = test_node.get_attribute("inputs:velocities") actual_input = og.Controller.get(input_attr) ogts.verify_values([], actual_input, "mnresearch.tetgen.PBDBasicGravity USD load test - inputs:velocities attribute value error") self.assertTrue(test_node.get_attribute_exists("inputs:velocity_dampening")) input_attr = test_node.get_attribute("inputs:velocity_dampening") actual_input = og.Controller.get(input_attr) ogts.verify_values(0.1, actual_input, "mnresearch.tetgen.PBDBasicGravity USD load test - inputs:velocity_dampening attribute value error")

Python

mnaskret/omni-tetGen/mnresearch/tetgen/nodes/__init__.py

""" Dynamically import every file in a directory tree that looks like a Python Ogn Node. This includes linked directories, which is the mechanism by which nodes can be hot-reloaded from the source tree. """ import omni.graph.core as og og.register_ogn_nodes(__file__, "mnresearch.tetgen")

Python

Kim2091/RTXRemixTools/LightAdjuster/LightAdjuster.py

import argparse def adjust_value(line, value_name, percentage, log_changes, i): if f'float {value_name} =' in line: parts = line.split('=') old_value = float(parts[1].strip()) new_value = old_value * percentage new_line = f'{parts[0]}= {new_value}\n' if log_changes: log_line = f'Line {i + 1}: {line.strip()} -> {new_line.strip()}' print(log_line) with open('changes.log', 'a') as log: log.write(log_line + '\n') line = new_line return line, True return line, False def adjust_file(file_path, start_line=1, log_changes=False, adjust_intensity=False, adjust_color_temperature=False, percentage=None): with open(file_path, 'r') as file: data = file.readlines() lines_changed = 0 with open(file_path, 'w') as file: for i, line in enumerate(data): if i + 1 >= start_line: if adjust_intensity: line, changed = adjust_value(line, 'intensity', percentage, log_changes, i) if changed: lines_changed += 1 if adjust_color_temperature: line, changed = adjust_value(line, 'colorTemperature', percentage, log_changes, i) if changed: lines_changed += 1 file.write(line) print(f'Completed! {lines_changed} lines changed.') if __name__ == '__main__': parser = argparse.ArgumentParser(description='Adjust the intensity and/or color temperature values in a file.') parser.add_argument('file_path', type=str, help='The path to the file to modify.') parser.add_argument('-s', '--start-line', type=int, default=1, help='The line number to start modifying at.') parser.add_argument('-l', '--log', action='store_true', help='Whether to print a log of the changed lines.') parser.add_argument('-ai', '--adjust-intensity', action='store_true', help='Whether to adjust the intensity value.') parser.add_argument('-act', '--adjust-color-temperature', action='store_true', help='Whether to adjust the color temperature value.') parser.add_argument('-p', '--percentage', type=float, required=True, help='The percentage to adjust the value by.') args = parser.parse_args() adjust_file(args.file_path, args.start_line, args.log, args.adjust_intensity, args.adjust_color_temperature, args.percentage)

Python

Kim2091/RTXRemixTools/MagicUSDA/MagicUSDA.py

import os import argparse import xxhash from pxr import Usd, UsdGeom, UsdShade, Sdf suffixes = ["_normal", "_emissive", "_metallic", "_rough"] def generate_hashes(file_path) -> str: # Read the file and extract the raw data. Thanks @BlueAmulet! with open(file_path, "rb") as file: data = file.read(128) dwHeight = int.from_bytes(data[12:16], "little") dwWidth = int.from_bytes(data[16:20], "little") pfFlags = int.from_bytes(data[80:84], "little") pfFourCC = data[84:88] bitCount = int.from_bytes(data[88:92], "little") mipsize = dwWidth * dwHeight if pfFlags & 0x4: # DDPF_FOURCC if pfFourCC == b"DXT1": # DXT1 is 4bpp mipsize //= 2 elif pfFlags & 0x20242: # DDPF_ALPHA | DDPF_RGB | DDPF_YUV | DDPF_LUMINANCE mipsize = mipsize * bitCount // 8 # Read the required portion of the file for hash calculation with open(file_path, "rb") as file: file.seek(128) # Move the file pointer to the appropriate position data = file.read(mipsize) hash_value = xxhash.xxh3_64(data).hexdigest() return hash_value.upper() def write_usda_file(args, file_list, suffix=None) -> [list, list]: created_files = [] modified_files = [] game_ready_assets_path = os.path.join(args.directory) # Check if there are any texture files with the specified suffix if suffix: has_suffix_files = False for file_name in file_list: if file_name.endswith(f"{suffix}.dds"): has_suffix_files = True break if not has_suffix_files: # return a blank set return [created_files, modified_files] usda_file_name = f'{args.output}{suffix if suffix else ""}.usda' usda_file_path = os.path.join(game_ready_assets_path, usda_file_name) if os.path.exists(usda_file_path): modified_files.append(usda_file_path) else: created_files.append(usda_file_path) targets = {} reference_directory = args.reference_directory if args.reference_directory else args.directory for file_name in file_list: if file_name.endswith(".dds"): # Extract only the file name from the absolute path name = os.path.basename(file_name) name, ext = os.path.splitext(name) if "_" not in name or name.endswith("_diffuse") or name.endswith("_albedo"): # Check if the generate_hashes argument is specified if args.generate_hashes: key = name.split("_")[0] # Use the prefix of the diffuse file name as the key hash_value = generate_hashes(os.path.join(reference_directory, file_name)) # Generate hash for the diffuse file else: key = os.path.basename(name) hash_value = key # Use the original name as the hash value # Check if the key contains a hash or ends with _diffuse or _albedo if not (key.isupper() and len(key) == 16) and not (key.endswith("_diffuse") or key.endswith("_albedo")): continue # Remove the _diffuse or _albedo suffix from the key and hash_value key = key.replace("_diffuse", "").replace("_albedo", "") hash_value = hash_value.replace("_diffuse", "").replace("_albedo", "") # Get the relative path from the game ready assets path to the texture file rel_file_path = os.path.relpath(file_name, args.directory) targets[key] = (rel_file_path, hash_value) # Create a new stage stage = Usd.Stage.CreateNew(usda_file_path) # Modify the existing RootNode prim root_node_prim = stage.OverridePrim("/RootNode") # Add a Looks scope as a child of the RootNode prim looks_scope = UsdGeom.Scope.Define(stage, "/RootNode/Looks") added_targets = set() for value, (rel_file_path, hash_value) in targets.items(): # Check if there is a corresponding texture file for the specified suffix if suffix and not any( file_name.endswith(f"{value}{suffix}.dds") for file_name in file_list ): continue if value in added_targets: continue else: added_targets.add(value) print(f"Adding texture {rel_file_path} with hash: {hash_value}") # Add a material prim as a child of the Looks scope material_prim = UsdShade.Material.Define( stage, f"/RootNode/Looks/mat_{hash_value.upper()}" ) material_prim.GetPrim().GetReferences().SetReferences([]) # Set the shader attributes shader_prim = UsdShade.Shader.Define( stage, f"/RootNode/Looks/mat_{hash_value.upper()}/Shader" ) shader_prim.GetPrim().CreateAttribute("info:mdl:sourceAsset", Sdf.ValueTypeNames.Asset).Set( f"{args.shader_type}.mdl" ) shader_prim.GetPrim().CreateAttribute("info:implementationSource", Sdf.ValueTypeNames.Token).Set( "sourceAsset" ) shader_prim.GetPrim().CreateAttribute("info:mdl:sourceAsset:subIdentifier", Sdf.ValueTypeNames.Token).Set( f"{args.shader_type}" ) shader_output = shader_prim.CreateOutput("output", Sdf.ValueTypeNames.Token) if not suffix or suffix == "_diffuse" or suffix == "_albedo": diffuse_texture = shader_prim.CreateInput( "diffuse_texture", Sdf.ValueTypeNames.Asset ) # Use the dynamically generated relative path for the diffuse texture diffuse_texture.Set(f".\{rel_file_path}") # Process each type of texture if not suffix or suffix == "_emissive": emissive_file_name = f"{value}_emissive.dds" # print(f"Emissive File Name: {emissive_file_name in file_list}") # print(file_list) if any(file_path.endswith(emissive_file_name) for file_path in file_list): emissive_mask_texture = shader_prim.CreateInput( "emissive_mask_texture", Sdf.ValueTypeNames.Asset ) # Use the dynamically generated relative path for the emissive texture emissive_rel_file_path = os.path.relpath(os.path.join(os.path.dirname(file_name), emissive_file_name), args.directory) emissive_mask_texture.Set(f".\{emissive_rel_file_path}") enable_emission = shader_prim.CreateInput( "enable_emission", Sdf.ValueTypeNames.Bool ) enable_emission.Set(True) emissive_intensity = shader_prim.CreateInput( "emissive_intensity", Sdf.ValueTypeNames.Float ) emissive_intensity.Set(5) if not suffix or suffix == "_metallic": metallic_file_name = f"{value}_metallic.dds" if any(file_path.endswith(metallic_file_name) for file_path in file_list): metallic_texture = shader_prim.CreateInput( "metallic_texture", Sdf.ValueTypeNames.Asset ) # Use the dynamically generated relative path for the metallic texture metallic_rel_file_path = os.path.relpath(os.path.join(os.path.dirname(file_name), metallic_file_name), args.directory) metallic_texture.Set(f".\{metallic_rel_file_path}") if not suffix or suffix == "_normal": normal_file_name = f"{value}_normal.dds" if any(file_path.endswith(normal_file_name) for file_path in file_list): normalmap_texture = shader_prim.CreateInput( "normal_texture", Sdf.ValueTypeNames.Asset ) # Use the dynamically generated relative path for the normal texture normal_rel_file_path = os.path.relpath(os.path.join(os.path.dirname(file_name), normal_file_name), args.directory) normalmap_texture.Set(f".\{normal_rel_file_path}") if not suffix or suffix == "_rough": roughness_file_name = f"{value}_rough.dds" if any(file_path.endswith(roughness_file_name) for file_path in file_list): reflectionroughness_texture = shader_prim.CreateInput( "reflectionroughness_texture", Sdf.ValueTypeNames.Asset ) # Use the dynamically generated relative path for the roughness texture roughness_rel_file_path = os.path.relpath(os.path.join(os.path.dirname(file_name), roughness_file_name), args.directory) reflectionroughness_texture.Set(f".\{roughness_rel_file_path}") # Connect shader output to material inputs material_prim.CreateInput( "mdl:displacement", Sdf.ValueTypeNames.Token ).ConnectToSource(shader_output) material_prim.CreateInput( "mdl:surface", Sdf.ValueTypeNames.Token ).ConnectToSource(shader_output) material_prim.CreateInput( "mdl:volume", Sdf.ValueTypeNames.Token ).ConnectToSource(shader_output) # Save the stage stage.Save() return [modified_files, created_files] def add_sublayers(args, file_list) -> list: modified_files = [] game_ready_assets_path = os.path.join(args.directory) mod_file_path = os.path.join(game_ready_assets_path, "mod.usda") if os.path.exists(mod_file_path): modified_files.append(mod_file_path) # Open the existing stage stage = Usd.Stage.Open(mod_file_path) # Get the existing sublayers existing_sublayers = list(stage.GetRootLayer().subLayerPaths) # Create a set of existing sublayer file names existing_sublayer_files = { os.path.basename(sublayer_path) for sublayer_path in existing_sublayers } # Add new sublayers new_sublayers = [ f"./{args.output}{suffix}.usda" for suffix in suffixes if f"{args.output}{suffix}.usda" not in existing_sublayer_files and any( os.path.basename(file_path) == f"{args.output}{suffix}.usda" for file_path in file_list ) ] stage.GetRootLayer().subLayerPaths = (existing_sublayers + new_sublayers) # Save the stage stage.Save() return modified_files if __name__ == "__main__": # ARGUMENT BLOCK parser = argparse.ArgumentParser() parser.add_argument("-d", "--directory", required=True, help="Path to directory") parser.add_argument("-o", "--output", default="mod", help="Output file name") parser.add_argument("-g", "--generate-hashes", action="store_true", help="Generates hashes for file names before the suffix") parser.add_argument("-m", "--multiple-files", action="store_true", help="Save multiple .usda files, one for each suffix type (except for diffuse)") parser.add_argument("-a", "--add-sublayers", action="store_true", help="Add sublayers made with -m to the mod.usda file. This argument only modifies the mod.usda file and does not affect any custom USDA file specified by the -o argument.") parser.add_argument("-s", "--shader-type", default="AperturePBR_Opacity", choices=["AperturePBR_Opacity", "AperturePBR_Translucent"], help="Shader type") parser.add_argument("-r", "--reference-directory", help="Path to reference directory for diffuse texture hashes") args = parser.parse_args() # Check target processing directory before use if not os.path.isdir(args.directory): raise FileNotFoundError("Specified processing directory (-d) is invalid") # Recursively scan folders file_list = [] for root, dirs, files in os.walk(args.directory): for file in files: file_list.append(os.path.join(root, file)) created_files = [] modified_files = [] # Process sublayer additions print(f"Add Sublayers: {args.add_sublayers}") if args.add_sublayers: modified_files.extend(add_sublayers(args, file_list)) # Generate unique USDA files per suffix type (except diffuse) if args.multiple_files: for suffix in suffixes: m, c = write_usda_file(args, file_list, suffix) modified_files.extend(m), created_files.extend(c) else: # Generate a single USDA file for all suffixes m, c = write_usda_file(args, file_list) modified_files.extend(m), created_files.extend(c) # Complete print("Finished!") print("Created files:") for file in created_files: print(f" - {file}") print("Modified files:") for file in modified_files: print(f" - {file}")

Python

Kim2091/RTXRemixTools/RemixMeshConvert/RemixMeshConvert.py

import argparse import logging import os import shutil import sys from pxr import Usd, UsdGeom, Gf, Sdf ALIASES = { "primvars:UVMap": ("primvars:st", Sdf.ValueTypeNames.Float2Array), "primvars:UVChannel_1": ("primvars:st1", Sdf.ValueTypeNames.Float2Array), "primvars:map1": ("primvars:st1", Sdf.ValueTypeNames.Float2Array), # Add more aliases here } def convert_face_varying_to_vertex_interpolation(usd_file_path): stage = Usd.Stage.Open(usd_file_path) mesh_prims = [prim for prim in stage.TraverseAll() if prim.IsA(UsdGeom.Mesh)] for prim in mesh_prims: mesh = UsdGeom.Mesh(prim) indices = prim.GetAttribute("faceVertexIndices") points = prim.GetAttribute("points") if not indices or not points: continue # Skip if the required attributes are missing points_arr = points.Get() modified_points = [points_arr[i] for i in indices.Get()] points.Set(modified_points) indices.Set([i for i in range(len(indices.Get()))]) mesh.SetNormalsInterpolation(UsdGeom.Tokens.vertex) primvar_api = UsdGeom.PrimvarsAPI(prim) for var in primvar_api.GetPrimvars(): if var.GetInterpolation() == UsdGeom.Tokens.faceVarying: var.SetInterpolation(UsdGeom.Tokens.vertex) # Replace aliases with "float2[] primvars:st" if var.GetName() in ALIASES: new_name, new_type_name = ALIASES[var.GetName()] new_var = primvar_api.GetPrimvar(new_name) if new_var: new_var.Set(var.Get()) else: new_var = primvar_api.CreatePrimvar(new_name, new_type_name) new_var.Set(var.Get()) new_var.SetInterpolation(UsdGeom.Tokens.vertex) # Set interpolation to vertex primvar_api.RemovePrimvar(var.GetBaseName()) return stage def process_folder(input_folder, output_folder, output_extension=None): for file_name in os.listdir(input_folder): input_file = os.path.join(input_folder, file_name) if output_extension: file_name = os.path.splitext(file_name)[0] + '.' + output_extension output_file = os.path.join(output_folder, file_name) if not os.path.isfile(input_file): continue shutil.copy(input_file, output_file) # Make a copy of the input file and rename it to the output file stage = convert_face_varying_to_vertex_interpolation(output_file) stage.Save() # Modify the output file in place logging.info(f"Processed file: {input_file} -> {output_file}") def main(): parser = argparse.ArgumentParser(description='Convert USD file formats and interpolation of meshes.') parser.add_argument('input', type=str, help='Input file or folder path') parser.add_argument('output', type=str, help='Output file or folder path') parser.add_argument('-f', '--format', type=str, choices=['usd', 'usda'], help='Output file format (usd or usda)') args = parser.parse_args() input_path = args.input output_path = args.output output_extension = args.format logging.basicConfig(level=logging.INFO, format='%(message)s') if os.path.isdir(input_path): process_folder(input_path, output_path, output_extension) else: if output_extension: output_path = os.path.splitext(output_path)[0] + '.' + output_extension shutil.copy(input_path, output_path) # Make a copy of the input file and rename it to the output file stage = convert_face_varying_to_vertex_interpolation(output_path) stage.Save() # Modify the output file in place logging.info(f"Processed file: {input_path} -> {output_path}") if __name__ == '__main__': main()

Python

Kim2091/RTXRemixTools/RemixMeshConvert/For USD Composer/RemixMeshConvert_OV.py

from pxr import Usd, UsdGeom, Sdf ALIASES = { "primvars:UVMap": ("primvars:st", Sdf.ValueTypeNames.Float2Array), "primvars:UVChannel_1": ("primvars:st1", Sdf.ValueTypeNames.Float2Array), "primvars:map1": ("primvars:st1", Sdf.ValueTypeNames.Float2Array), # Add more aliases here } def convert_face_varying_to_vertex_interpolation(stage): mesh_prims = [prim for prim in stage.TraverseAll() if prim.IsA(UsdGeom.Mesh)] for prim in mesh_prims: mesh = UsdGeom.Mesh(prim) indices = prim.GetAttribute("faceVertexIndices") points = prim.GetAttribute("points") if not indices or not points: continue # Skip if the required attributes are missing points_arr = points.Get() modified_points = [points_arr[i] for i in indices.Get()] points.Set(modified_points) indices.Set([i for i in range(len(indices.Get()))]) mesh.SetNormalsInterpolation(UsdGeom.Tokens.vertex) primvar_api = UsdGeom.PrimvarsAPI(prim) for var in primvar_api.GetPrimvars(): if var.GetInterpolation() == UsdGeom.Tokens.faceVarying: var.SetInterpolation(UsdGeom.Tokens.vertex) # Replace aliases with "float2[] primvars:st" if var.GetName() in ALIASES: new_name, new_type_name = ALIASES[var.GetName()] new_var = primvar_api.GetPrimvar(new_name) if new_var: new_var.Set(var.Get()) else: new_var = primvar_api.CreatePrimvar(new_name, new_type_name) new_var.Set(var.Get()) new_var.SetInterpolation(UsdGeom.Tokens.vertex) # Set interpolation to vertex # Remove the old primvar directly from the UsdGeomPrimvar object var.GetAttr().Block() return stage stage = omni.usd.get_context().get_stage() convert_face_varying_to_vertex_interpolation(stage)

Python

gigwegbe/synthetic_data_with_nvidia_replicator_and_edge_impulse/objects_position_normal_90.py

import omni.replicator.core as rep with rep.new_layer(): # Load in asset local_path = "/home/george/Documents/synthetic_data_with_nvidia_replicator_and_edge_impulse/" TABLE_USD = f"{local_path}/asset/Collected_EastRural_Table/EastRural_Table.usd" SPOON_SMALL_USD = f"{local_path}/asset/Collected_Spoon_Small/Spoon_Small.usd" SPOON_BIG_USD = f"{local_path}/asset/Collected_Spoon_Big/Spoon_Big.usd" FORK_SMALL_USD = f"{local_path}/asset/Collected_Fork_Small/Fork_Small.usd" FORK_BIG_USD = f"{local_path}/asset/Collected_Fork_Big/Fork_Big.usd" KNIFE_USD = f"{local_path}/asset/Collected_Knife/Knife.usd" # Camera paramters cam_position = (46, 200, 25) cam_position2 = (46, 120, 25) cam_position_random = rep.distribution.uniform((0, 181, 0), (0, 300, 0)) cam_rotation = (-90, 0, 0) focus_distance = 114 focus_distance2 = 39.1 focal_length = 27 focal_length2 = 18.5 f_stop = 1.8 f_stop2 = 1.8 focus_distance_random = rep.distribution.normal(500.0, 100) # Cultery path current_cultery = SPOON_SMALL_USD # Change the item here e.g KNIFE_USD output_path = current_cultery.split(".")[0].split("/")[-1] def rect_lights(num=1): lights = rep.create.light( light_type="rect", temperature=rep.distribution.normal(6500, 500), intensity=rep.distribution.normal(0, 5000), position=(45, 110, 0), rotation=(-90, 0, 0), scale=rep.distribution.uniform(50, 100), count=num ) return lights.node def dome_lights(num=3): lights = rep.create.light( light_type="dome", temperature=rep.distribution.normal(6500, 500), intensity=rep.distribution.normal(0, 1000), position=(45, 120, 18), rotation=(225, 0, 0), count=num ) return lights.node def table(): table = rep.create.from_usd(TABLE_USD, semantics=[('class', 'table')]) with table: rep.modify.pose( position=(46, -0.0, 20), rotation=(0, -90, -90), ) return table # Define randomizer function for CULTERY assets. This randomization includes placement and rotation of the assets on the surface. def cutlery_props(size=15): instances = rep.randomizer.instantiate(rep.utils.get_usd_files( current_cultery), size=size, mode='point_instance') with instances: rep.modify.pose( position=rep.distribution.uniform( (0, 76.3651, 0), (90, 76.3651, 42)), rotation=rep.distribution.uniform( (-90, -180, 0), (-90, 180, 0)), ) return instances.node # Register randomization rep.randomizer.register(table) rep.randomizer.register(cutlery_props) rep.randomizer.register(rect_lights) rep.randomizer.register(dome_lights) # Multiple setup cameras and attach it to render products camera = rep.create.camera(focus_distance=focus_distance, focal_length=focal_length, position=cam_position, rotation=cam_rotation, f_stop=f_stop) camera2 = rep.create.camera(focus_distance=focus_distance2, focal_length=focal_length2, position=cam_position2, rotation=cam_rotation, f_stop=f_stop) # Will render 1024x1024 images and 512x512 images render_product = rep.create.render_product(camera, (1024, 1024)) render_product2 = rep.create.render_product(camera2, (512, 512)) # Initialize and attach writer writer = rep.WriterRegistry.get("BasicWriter") writer.initialize(output_dir=f"{local_path}/data/normal/{output_path}", rgb=True, bounding_box_2d_tight=False, semantic_segmentation=False) writer.attach([render_product, render_product2]) with rep.trigger.on_frame(num_frames=50): rep.randomizer.table() rep.randomizer.rect_lights(1) rep.randomizer.dome_lights(1) rep.randomizer.cutlery_props(5) # Run the simulation graph rep.orchestrator.run()

Python

gigwegbe/synthetic_data_with_nvidia_replicator_and_edge_impulse/old_setting/objects_position_normal_90.py

import omni.replicator.core as rep with rep.new_layer(): # Load in asset local_path = "/home/george/Documents/synthetic_data_with_nvidia_replicator_and_edge_impulse/" TABLE_USD =f"{local_path}/asset/Collected_EastRural_Table/EastRural_Table.usd" SPOON_SMALL_USD = f"{local_path}/asset/Collected_Spoon_Small/Spoon_Small.usd" SPOON_BIG_USD = f"{local_path}/asset/Collected_Spoon_Big/Spoon_Big.usd" FORK_SMALL_USD = f"{local_path}/asset/Collected_Fork_Small/Fork_Small.usd" FORK_BIG_USD = f"{local_path}/asset/Collected_Fork_Big/Fork_Big.usd" KNIFE_USD = f"{local_path}/asset/Collected_Knife/Knife.usd" # Camera paramters cam_position = (-131,200,-134) cam_position2 = (-131,120,-134) cam_position_random = rep.distribution.uniform((0,181,0), (0, 300, 0)) cam_rotation = (-90,0,0) #(-45,0,0) focus_distance = 120 focus_distance2 = 72 focal_length = 19.1 focal_length2 = 7.5 f_stop = 1.8 f_stop2 = 1.8 focus_distance_random = rep.distribution.normal(500.0, 100) # Cultery path current_cultery = SPOON_SMALL_USD # Change the item here e.g KNIFE_USD output_path = current_cultery.split(".")[0].split("/")[-1] def rect_lights(num=2): lights = rep.create.light( light_type="rect", temperature=rep.distribution.normal(6500, 500), intensity=rep.distribution.normal(0, 5000), position=(-131,150,-134), rotation=(-90,0,0), scale=rep.distribution.uniform(50, 100), count=num ) return lights.node def dome_lights(num=1): lights = rep.create.light( light_type="dome", temperature=rep.distribution.normal(6500, 500), intensity=rep.distribution.normal(0, 1000), position=(0,0,0), rotation=(270,0,0), count=num ) return lights.node def table(): table = rep.create.from_usd(TABLE_USD, semantics=[('class', 'table')]) with table: rep.modify.pose( position=(-135.39745, 0, -140.25696), rotation=(0,-90,-90), ) return table # Define randomizer function for CULTERY assets. This randomization includes placement and rotation of the assets on the surface. def cutlery_props(size=15): instances = rep.randomizer.instantiate(rep.utils.get_usd_files(current_cultery), size=size, mode='point_instance') with instances: rep.modify.pose( position=rep.distribution.uniform((-212, 76.2, -187), (-62, 76.2, -94)), rotation=rep.distribution.uniform((-90,-180, 0), (-90, 180, 0)), ) return instances.node # Register randomization rep.randomizer.register(table) rep.randomizer.register(cutlery_props) rep.randomizer.register(rect_lights) rep.randomizer.register(dome_lights) # Multiple setup cameras and attach it to render products camera = rep.create.camera(focus_distance=focus_distance, focal_length=focal_length, position=cam_position, rotation=cam_rotation, f_stop=f_stop) camera2 = rep.create.camera(focus_distance=focus_distance2, focal_length=focal_length2, position=cam_position2, rotation=cam_rotation, f_stop=f_stop) # Will render 1024x1024 images and 512x512 images render_product = rep.create.render_product(camera, (1024, 1024)) render_product2 = rep.create.render_product(camera2, (512, 512)) # Initialize and attach writer writer = rep.WriterRegistry.get("BasicWriter") writer.initialize(output_dir=f"{local_path}/data/normal/{output_path}", rgb=True, bounding_box_2d_tight=False, semantic_segmentation=False) writer.attach([render_product, render_product2]) with rep.trigger.on_frame(num_frames=50): rep.randomizer.table() rep.randomizer.rect_lights(1) rep.randomizer.dome_lights(1) rep.randomizer.cutlery_props(15) # Run the simulation graph rep.orchestrator.run()

Python

mati-nvidia/window-menu-add/exts/maticodes.example.window.add/maticodes/example/window/add/extension.py

import carb import omni.ext import omni.kit.ui from .window import MyCustomWindow, WINDOW_TITLE class WindowMenuAddExtension(omni.ext.IExt): def on_startup(self, ext_id): carb.log_info("[maticodes.example.window.add] WindowMenuAddExtension startup") # Note the "Window" part of the path that directs the new menu item to the "Window" menu. self._menu_path = f"Window/{WINDOW_TITLE}" self._window = None self._menu = omni.kit.ui.get_editor_menu().add_item(self._menu_path, self._on_menu_click, True) def on_shutdown(self): carb.log_info("[maticodes.example.window.add] WindowMenuAddExtension shutdown") omni.kit.ui.get_editor_menu().remove_item(self._menu) if self._window is not None: self._window.destroy() self._window = None def _on_menu_click(self, menu, toggled): """Handles showing and hiding the window from the 'Windows' menu.""" if toggled: if self._window is None: self._window = MyCustomWindow(WINDOW_TITLE, self._menu_path) else: self._window.show() else: if self._window is not None: self._window.hide()

Python

mati-nvidia/window-menu-add/exts/maticodes.example.window.add/maticodes/example/window/add/window.py

import omni.kit.ui import omni.ui as ui WINDOW_TITLE = "My Custom Window" class MyCustomWindow(ui.Window): def __init__(self, title, menu_path): super().__init__(title, width=640, height=480) self._menu_path = menu_path self.set_visibility_changed_fn(self._on_visibility_changed) self._build_ui() def on_shutdown(self): self._win = None def show(self): self.visible = True self.focus() def hide(self): self.visible = False def _build_ui(self): with self.frame: with ui.VStack(): ui.Label("This is just an empty window", width=0, alignment=ui.Alignment.CENTER) def _on_visibility_changed(self, visible): omni.kit.ui.get_editor_menu().set_value(self._menu_path, visible)

Python

mati-nvidia/developer-office-hours/tools/scripts/csv2md.py

# SPDX-License-Identifier: Apache-2.0 import argparse import csv from pathlib import Path if __name__ == "__main__": parser = argparse.ArgumentParser(description="Convert DOH CSV to MD") parser.add_argument( "csvfile", help="The CSV file to convert" ) args = parser.parse_args() csvfile = Path(args.csvfile) mdfile = csvfile.with_suffix(".md") rows = [] with open(csvfile) as f: with open(mdfile, "w") as out: for row in csv.reader(f): if row[2] and not row[5]: out.write(f"1. [{row[1]}]({row[2]})\n") print("Success!")

Python

mati-nvidia/developer-office-hours/tools/scripts/make_ext.py

# SPDX-License-Identifier: Apache-2.0 import argparse import shutil import os from pathlib import Path SOURCE_PATH = Path(__file__).parent / "template" / "maticodes.doh_YYYY_MM_DD" def text_replace(filepath, tokens_map): with open(filepath, "r") as f: data = f.read() for token, fstring in tokens_map.items(): data = data.replace(token, fstring) with open(filepath, "w") as f: f.write(data) if __name__ == "__main__": parser = argparse.ArgumentParser(description="Create folder link to Kit App installed from Omniverse Launcher") parser.add_argument( "date", help="The dates of the Office Hour in YYYY-MM-DD format." ) args = parser.parse_args() year, month, day = args.date.split("-") # copy files dest_path = Path(__file__).parent / "../.." / f"exts/maticodes.doh_{year}_{month}_{day}" shutil.copytree(SOURCE_PATH, dest_path) # rename folders template_ext_folder = dest_path / "maticodes" / "doh_YYYY_MM_DD" ext_folder = dest_path / "maticodes" / f"doh_{year}_{month}_{day}" os.rename(template_ext_folder, ext_folder) tokens_map = { "[DATE_HYPHEN]": f"{year}-{month}-{day}", "[DATE_UNDERSCORE]": f"{year}_{month}_{day}", "[DATE_PRETTY]": f"{month}/{day}/{year}", } # text replace extension.toml ext_toml = dest_path / "config" / "extension.toml" text_replace(ext_toml, tokens_map) # text replace README readme = dest_path / "docs" / "README.md" text_replace(readme, tokens_map) # text replace extension.py ext_py = ext_folder / "extension.py" text_replace(ext_py, tokens_map) print("Success!")

Python

mati-nvidia/developer-office-hours/tools/scripts/template/maticodes.doh_YYYY_MM_DD/maticodes/doh_YYYY_MM_DD/extension.py

# SPDX-License-Identifier: Apache-2.0 import carb import omni.ext import omni.ui as ui class MyWindow(ui.Window): def __init__(self, title: str = None, **kwargs): super().__init__(title, **kwargs) self.frame.set_build_fn(self._build_window) def _build_window(self): with ui.ScrollingFrame(): with ui.VStack(height=0): ui.Label("My Label") def clicked(): carb.log_info("Button Clicked!") ui.Button("Click Me", clicked_fn=clicked) class MyExtension(omni.ext.IExt): def on_startup(self, ext_id): carb.log_info("[maticodes.doh_[DATE_UNDERSCORE]] Dev Office Hours Extension ([DATE_HYPHEN]) startup") self._window = MyWindow("MyWindow", width=300, height=300) def on_shutdown(self): carb.log_info("[maticodes.doh_[DATE_UNDERSCORE]] Dev Office Hours Extension ([DATE_HYPHEN]) shutdown") if self._window: self._window.destroy() self._window = None

Python

mati-nvidia/developer-office-hours/tools/scripts/template/maticodes.doh_YYYY_MM_DD/scripts/my_script.py

# SPDX-License-Identifier: Apache-2.0

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2023_01_06/scripts/query_script_components.py

# SPDX-License-Identifier: Apache-2.0 from pxr import Sdf import omni.usd stage = omni.usd.get_context().get_stage() prim = stage.GetPrimAtPath("/World/Cube") attr = prim.GetAttribute("omni:scripting:scripts") if attr.IsValid(): scripts = attr.Get() if scripts: for script in scripts: print(script)

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2023_01_06/scripts/add_script_component.py

# SPDX-License-Identifier: Apache-2.0 import omni.kit.commands from pxr import Sdf import omni.usd omni.kit.commands.execute('ApplyScriptingAPICommand', paths=[Sdf.Path('/World/Cube')]) omni.kit.commands.execute('RefreshScriptingPropertyWindowCommand') stage = omni.usd.get_context().get_stage() prim = stage.GetPrimAtPath("/World/Cube") attr = prim.GetAttribute("omni:scripting:scripts") scripts = attr.Get() attr.Set([r"C:\Users\mcodesal\Downloads\new_script2.py"]) # attr.Set(["omniverse://localhost/Users/mcodesal/new_script2.py"]) omni.kit.commands.execute('ChangeProperty', prop_path=Sdf.Path('/World/Cube.omni:scripting:scripts'), value=Sdf.AssetPathArray(1, (Sdf.AssetPath('C:\\mcodesal\\Downloads\\new_script2.py'))), prev=None) attr = prim.GetAttribute("omni:scripting:scripts") scripts = list(attr.Get()) scripts.append(r"C:\mcodesal\Downloads\new_script.py") attr.Set(scripts)

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2023_01_06/scripts/interact_script_components.py

# SPDX-License-Identifier: Apache-2.0 import carb.events import omni.kit.app MY_CUSTOM_EVENT = carb.events.type_from_string("omni.my.extension.MY_CUSTOM_EVENT") bus = omni.kit.app.get_app().get_message_bus_event_stream() bus.push(MY_CUSTOM_EVENT, payload={"prim_path": "/World/Cube", "x": 1})

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2023_04_21/scripts/pass_arg_to_callback.py

# SPDX-License-Identifier: Apache-2.0 from functools import partial import omni.ui as ui def do_something(p1, p2): print(f"Hello {p1} {p2}") window = ui.Window("My Window", width=300, height=300) with window.frame: ui.Button("Click Me", clicked_fn=partial(do_something, "a", "b"))

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2023_04_21/scripts/create_mdl_mtl.py

# SPDX-License-Identifier: Apache-2.0 import omni.kit.commands omni.kit.commands.execute('CreateAndBindMdlMaterialFromLibrary', mdl_name='OmniPBR.mdl', mtl_name='OmniPBR', mtl_created_list=None)

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2023_04_21/scripts/lock_prim.py

# SPDX-License-Identifier: Apache-2.0 import omni.kit.commands from pxr import Sdf omni.kit.commands.execute('LockSpecs', spec_paths=['/Desk'], hierarchy=False)

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2023_04_14/scripts/toggle_fullscreen.py

# SPDX-License-Identifier: Apache-2.0 import omni.kit.actions.core action_registry = omni.kit.actions.core.get_action_registry() action = action_registry.get_action("omni.kit.ui.editor_menu_bridge", "action_editor_menu_bridge_window_fullscreen_mode") action.execute()

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2023_04_14/scripts/move_prim_forward.py

# SPDX-License-Identifier: Apache-2.0 from pxr import Gf, UsdGeom, Usd import omni.usd stage = omni.usd.get_context().get_stage() prim = stage.GetPrimAtPath("/World/Camera") xform = UsdGeom.Xformable(prim) local_transformation: Gf.Matrix4d = xform.GetLocalTransformation() # Apply the local matrix to the start and end points of the camera's default forward vector (-Z) a: Gf.Vec4d = Gf.Vec4d(0,0,0,1) * local_transformation b: Gf.Vec4d = Gf.Vec4d(0,0,-1,1) * local_transformation # Get the vector between those two points to get the camera's current forward vector cam_fwd_vec = b-a # Convert to Vec3 and then normalize to get unit vector cam_fwd_unit_vec = Gf.Vec3d(cam_fwd_vec[:3]).GetNormalized() # Multiply the forward direction vector with how far forward you want to move forward_step = cam_fwd_unit_vec * 100 # Create a new matrix with the translation that you want to perform offset_mat = Gf.Matrix4d() offset_mat.SetTranslate(forward_step) # Apply the translation to the current local transform new_transform = local_transformation * offset_mat # Extract the new translation translate: Gf.Vec3d = new_transform.ExtractTranslation() # Update the attribute prim.GetAttribute("xformOp:translate").Set(translate)

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2023_04_14/scripts/execute_action.py

# SPDX-License-Identifier: Apache-2.0 import omni.kit.actions.core action_registry = omni.kit.actions.core.get_action_registry() action = action_registry.get_action("ext_id", "action_id") action.execute()

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2023_01_13/scripts/add_script_component.py

# SPDX-License-Identifier: Apache-2.0 import omni.kit.commands from pxr import Sdf import omni.usd # Create the Python Scripting Component property omni.kit.commands.execute('ApplyScriptingAPICommand', paths=[Sdf.Path('/World/Cube')]) omni.kit.commands.execute('RefreshScriptingPropertyWindowCommand') # Add your script to the property stage = omni.usd.get_context().get_stage() prim = stage.GetPrimAtPath("/World/Cube") attr = prim.GetAttribute("omni:scripting:scripts") scripts = attr.Get() # Property with no script paths returns None if scripts is None: scripts = [] else: # Property with scripts paths returns VtArray. # Convert to list to make it easier to work with. scripts = list(scripts) scripts.append(r"C:\Users\mcodesal\Downloads\new_script.py") attr.Set(scripts)

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2023_06_23/scripts/select_prims.py

# SPDX-License-Identifier: Apache-2.0 import omni.usd stage = omni.usd.get_context().get_stage() ctx = omni.usd.get_context() selection: omni.usd.Selection = ctx.get_selection() selection.set_selected_prim_paths(["/World/Cube", "/World/Sphere"], False) import omni.kit.commands import omni.usd ctx = omni.usd.get_context() selection: omni.usd.Selection = ctx.get_selection() omni.kit.commands.execute('SelectPrimsCommand', old_selected_paths=selection.get_selected_prim_paths(), new_selected_paths=["/World/Cone"], expand_in_stage=True)

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2023_01_27/scripts/sub_child_changes.py

# SPDX-License-Identifier: Apache-2.0 # UsdWatcher from pxr import Sdf, Tf, Usd import omni.usd stage = omni.usd.get_context().get_stage() def changed_paths(notice, stage): print("Change fired") for p in notice.GetChangedInfoOnlyPaths(): if str(p).startswith("/World/Parent" + "/"): print("Something happened to a descendent of /World/Parent") print(p) for p in notice.GetResyncedPaths(): if str(p).startswith("/World/Parent" + "/"): print("A descendent of /World/Parent was added or removed") print(p) objects_changed = Tf.Notice.Register(Usd.Notice.ObjectsChanged, changed_paths, None) objects_changed.Revoke()

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2022_07_22/maticodes/doh_2022_07_22/extension.py

# SPDX-License-Identifier: Apache-2.0 import omni.ext import omni.ui as ui from omni.kit.widget.searchable_combobox import build_searchable_combo_widget class MyWindow(ui.Window): def __init__(self, title: str = None, delegate=None, **kwargs): super().__init__(title, **kwargs) self.frame.set_build_fn(self._build_window) def _build_window(self): with ui.ScrollingFrame(): with ui.VStack(height=0): ui.Label("My Label") self.proj_scale_model = ui.SimpleFloatModel() self.proj_scale_model_sub = ( self.proj_scale_model.subscribe_value_changed_fn( self.slider_value_changed ) ) ui.FloatSlider(model=self.proj_scale_model, min=0, max=100) def do_rebuild(): self.frame.rebuild() ui.Button("Rebuild", clicked_fn=do_rebuild) def clicked(): # Example showing how to retreive the value from the model. print( f"Button Clicked! Slider Value: {self.proj_scale_model.as_float}" ) self.proj_scale_model.set_value(1.0) ui.Button("Set Slider", clicked_fn=clicked) def on_combo_click_fn(model): component = model.get_value_as_string() print(f"{component} selected") component_list = ["Synthetic Data", "USD", "Kit", "UX", "UX / UI"] component_index = -1 self._component_combo = build_searchable_combo_widget( component_list, component_index, on_combo_click_fn, widget_height=18, default_value="Kit", ) def slider_value_changed(self, model): # Example showing how to get the value when it changes. print("Slider Value:", model.as_float) def destroy(self) -> None: del self.proj_scale_model_sub return super().destroy() class MyExtension(omni.ext.IExt): # ext_id is current extension id. It can be used with extension manager to query additional information, like where # this extension is located on filesystem. def on_startup(self, ext_id): print( "[maticodes.doh_2022_07_22] Dev Office Hours Extension (2022-07-22) startup" ) self._window = MyWindow("MyWindow", width=300, height=300) def on_shutdown(self): print( "[maticodes.doh_2022_07_22] Dev Office Hours Extension (2022-07-22) shutdown" ) if self._window: self._window.destroy() self._window = None

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2022_07_22/maticodes/doh_2022_07_22/__init__.py

# SPDX-License-Identifier: Apache-2.0 from .extension import *

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2022_07_22/scripts/cmds_more_params.py

# SPDX-License-Identifier: Apache-2.0 import omni.kit.commands from pxr import Gf, Usd omni.kit.commands.execute('SetAnimCurveKey', paths=['/World/toy_drummer.xformOp:translate'], value=Gf.Vec3d(0.0, 0.0, 18)) omni.kit.commands.execute('SetAnimCurveKey', paths=['/World/toy_drummer.xformOp:translate'], value=Gf.Vec3d(0.0, 0.0, 24), time=Usd.TimeCode(72))

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2022_07_22/scripts/set_current_time.py

# SPDX-License-Identifier: Apache-2.0 # https://docs.omniverse.nvidia.com/py/kit/source/extensions/omni.timeline/docs/index.html import omni.timeline timeline = omni.timeline.get_timeline_interface() # set in using seconds timeline.set_current_time(1) # set using frame number fps = timeline.get_time_codes_per_seconds() timeline.set_current_time(48 / fps)

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2022_07_22/scripts/reference_usdz.py

# SPDX-License-Identifier: Apache-2.0 import omni.kit.commands from pxr import Sdf import omni.usd omni.kit.commands.execute('CreateReference', path_to=Sdf.Path('/World/toy_drummer2'), asset_path='C:/Users/mcodesal/Downloads/toy_drummer.usdz', usd_context=omni.usd.get_context())

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2022_07_22/scripts/run_action_graph.py

# SPDX-License-Identifier: Apache-2.0 # https://docs.omniverse.nvidia.com/py/kit/source/extensions/omni.graph/docs/index.html import omni.graph.core as og keys = og.Controller.Keys og.Controller.edit("/World/ActionGraph", { keys.SET_VALUES: ("/World/ActionGraph/on_impulse_event.state:enableImpulse", True) })

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2022_10_14/maticodes/doh_2022_10_14/extension.py

# SPDX-License-Identifier: Apache-2.0 import carb import omni.ext import omni.ui as ui class MyWindow(ui.Window): def __init__(self, title: str = None, **kwargs): super().__init__(title, **kwargs) self.frame.set_build_fn(self._build_window) def _build_window(self): def hello(): print("Hello") ui.Button("Click Me", clicked_fn=hello) class MyExtension(omni.ext.IExt): def on_startup(self, ext_id): carb.log_info("[maticodes.doh_2022_10_14] Dev Office Hours Extension (2022-10-14) startup") self._window = MyWindow("MyWindow", width=300, height=300) def on_shutdown(self): carb.log_info("[maticodes.doh_2022_10_14] Dev Office Hours Extension (2022-10-14) shutdown") if self._window: self._window.destroy() self._window = None

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2022_10_14/scripts/context_menu_inject.py

# SPDX-License-Identifier: Apache-2.0 import omni.kit.context_menu def show_menu(objects): print("show it?") return True def hello_world(objects): print(f"Hello Objects: {objects}") menu_item_config = { "name": "Hello World!", "glyph": "menu_search.svg", "show_fn": [show_menu], "onclick_fn": hello_world, } # You must keep a reference to the menu item. Set this variable to None to remove the item from the menu hello_world_menu_item = omni.kit.context_menu.add_menu(menu_item_config, "MENU", "omni.kit.window.viewport") hello_world_menu_item = None

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2023_08_25/scripts/add_sbsar.py

# SPDX-License-Identifier: Apache-2.0 import omni.kit.commands omni.kit.commands.execute('AddSbsarReferenceAndBindCommand', sbsar_path=r"C:\Users\mcodesal\Downloads\blueberry_skin.sbsar", target_prim_path="/World/Sphere")

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2023_08_25/scripts/get_selected_meshes.py

# SPDX-License-Identifier: Apache-2.0 import omni.usd from pxr import Usd, UsdGeom stage = omni.usd.get_context().get_stage() selection = omni.usd.get_context().get_selection().get_selected_prim_paths() meshes = [] for path in selection: prim = stage.GetPrimAtPath(path) if prim.IsA(UsdGeom.Mesh): meshes.append(prim) print("Selected meshes:") print(meshes)

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2023_04_28/scripts/toggle_hud.py

# SPDX-License-Identifier: Apache-2.0 import omni.kit.viewport.utility as okvu okvu.toggle_global_visibility()

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2023_04_28/scripts/custom_attrs.py

# SPDX-License-Identifier: Apache-2.0 # Docs: https://docs.omniverse.nvidia.com/prod_kit/prod_kit/programmer_ref/usd/properties/create-attribute.html import omni.usd from pxr import Usd, Sdf stage = omni.usd.get_context().get_stage() prim: Usd.Prim = stage.GetPrimAtPath("/World/Cylinder") attr: Usd.Attribute = prim.CreateAttribute("mySecondAttr", Sdf.ValueTypeNames.Bool) attr.Set(False)

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2023_04_28/scripts/custom_global_data.py

# SPDX-License-Identifier: Apache-2.0 import omni.usd stage = omni.usd.get_context().get_stage() layer = stage.GetRootLayer() print(type(layer)) layer.SetCustomLayerData({"Hello": "World"}) stage.DefinePrim("/World/Hello", "HelloWorld") stage.DefinePrim("/World/MyTypeless")

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2023_04_28/scripts/make_unselectable.py

# SPDX-License-Identifier: Apache-2.0 # Docs: https://docs.omniverse.nvidia.com/kit/docs/omni.usd/latest/omni.usd/omni.usd.UsdContext.html#omni.usd.UsdContext.set_pickable import omni.usd ctx = omni.usd.get_context() ctx.set_pickable("/", True)

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2023_04_28/scripts/change_viewport_camera.py

# SPDX-License-Identifier: Apache-2.0 import omni.kit.viewport.utility as vu from pxr import Sdf vp_api = vu.get_active_viewport() vp_api.camera_path = "/World/Camera_01"

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2023_09_01/scripts/logging.py

# SPDX-License-Identifier: Apache-2.0 import logging import carb logger = logging.getLogger() print("Hello") carb.log_info("World") logger.info("Omniverse")

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2023_09_01/scripts/xforming.py

# SPDX-License-Identifier: Apache-2.0 from pxr import UsdGeom import omni.usd stage = omni.usd.get_context().get_stage() cube = stage.GetPrimAtPath("/World/Xform/Cube") cube_xformable = UsdGeom.Xformable(cube) transform = cube_xformable.GetLocalTransformation() print(transform) transform2 = cube_xformable.GetLocalTransformation() print(transform2)

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2022_10_28/scripts/usd_watcher.py

# SPDX-License-Identifier: Apache-2.0 import omni.usd from pxr import Gf stage = omni.usd.get_context().get_stage() cube = stage.GetPrimAtPath("/World/Cube") def print_size(changed_path): print("Size Changed:", changed_path) def print_pos(changed_path): print(changed_path) if changed_path.IsPrimPath(): prim_path = changed_path else: prim_path = changed_path.GetPrimPath() prim = stage.GetPrimAtPath(prim_path) local_transform = omni.usd.get_local_transform_SRT(prim) print("Translation: ", local_transform[3]) def print_world_pos(changed_path): world_transform: Gf.Matrix4d = omni.usd.get_world_transform_matrix(prim) translation: Gf.Vec3d = world_transform.ExtractTranslation() print(translation) size_attr = cube.GetAttribute("size") cube_sub = omni.usd.get_watcher().subscribe_to_change_info_path(cube.GetPath(), print_world_pos) cube_size_sub = omni.usd.get_watcher().subscribe_to_change_info_path(size_attr.GetPath(), print_size) cube_sub = None cube_size_sub = None

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2022_10_28/scripts/extras.py

# SPDX-License-Identifier: Apache-2.0 import omni.usd stage = omni.usd.get_context().get_stage() prim = stage.GetPrimAtPath("/World/Cube") if prim: print("Prim Exists") from pxr import UsdGeom # e.g., find all prims of type UsdGeom.Mesh mesh_prims = [x for x in stage.Traverse() if x.IsA(UsdGeom.Mesh)] mesh_prims = [] for x in stage.Traverse(): if x.IsA(UsdGeom.Mesh): mesh_prims.append(x) print(mesh_prims)

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2022_10_28/scripts/docking.py

# SPDX-License-Identifier: Apache-2.0 import omni.ui as ui my_window = ui.Window("Example Window", width=300, height=300) with my_window.frame: with ui.VStack(): f = ui.FloatField() def clicked(f=f): print("clicked") f.model.set_value(f.model.get_value_as_float() + 1) ui.Button("Plus One", clicked_fn=clicked) my_window.dock_in_window("Property", ui.DockPosition.SAME) ui.dock_window_in_window(my_window.title, "Property", ui.DockPosition.RIGHT, 0.2) my_window.deferred_dock_in("Content", ui.DockPolicy.TARGET_WINDOW_IS_ACTIVE)

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2022_09_23/scripts/combobox_selected_item.py

# SPDX-License-Identifier: Apache-2.0 import omni.ui as ui my_window = ui.Window("Example Window", width=300, height=300) combo_sub = None options = ["One", "Two", "Three"] with my_window.frame: with ui.VStack(): combo_model: ui.AbstractItemModel = ui.ComboBox(0, *options).model def combo_changed(item_model: ui.AbstractItemModel, item: ui.AbstractItem): value_model = item_model.get_item_value_model(item) current_index = value_model.as_int option = options[current_index] print(f"Selected '{option}' at index {current_index}.") combo_sub = combo_model.subscribe_item_changed_fn(combo_changed) def clicked(): value_model = combo_model.get_item_value_model() current_index = value_model.as_int option = options[current_index] print(f"Button Clicked! Selected '{option}' at index {current_index}.") ui.Button("Print Combo Selection", clicked_fn=clicked)

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2022_09_23/scripts/use_tokens.py

# SPDX-License-Identifier: Apache-2.0 # https://docs.omniverse.nvidia.com/py/kit/docs/guide/tokens.html import carb.tokens from pathlib import Path path = Path("${shared_documents}") / "maticodes.foo" resolved_path = carb.tokens.get_tokens_interface().resolve(str(path)) print(resolved_path)

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2022_09_23/scripts/simple_instancer.py

# SPDX-License-Identifier: Apache-2.0 import omni.usd from pxr import Usd, UsdGeom, Sdf, Gf stage: Usd.Stage = omni.usd.get_context().get_stage() prim_path = Sdf.Path("/World/MyInstancer") instancer: UsdGeom.PointInstancer = UsdGeom.PointInstancer.Define(stage, prim_path) proto_container = UsdGeom.Scope.Define(stage, prim_path.AppendPath("Prototypes")) shapes = [] shapes.append(UsdGeom.Cube.Define(stage, proto_container.GetPath().AppendPath("Cube"))) shapes.append(UsdGeom.Sphere.Define(stage, proto_container.GetPath().AppendPath("Sphere"))) shapes.append(UsdGeom.Cone.Define(stage, proto_container.GetPath().AppendPath("Cone"))) instancer.CreatePositionsAttr([Gf.Vec3f(0, 0, 0), Gf.Vec3f(2, 0, 0), Gf.Vec3f(4, 0, 0)]) instancer.CreatePrototypesRel().SetTargets([shape.GetPath() for shape in shapes]) instancer.CreateProtoIndicesAttr([0, 1, 2])

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2022_09_23/scripts/one_widget_in_container.py

# SPDX-License-Identifier: Apache-2.0 import omni.ui as ui my_window = ui.Window("Example Window", width=300, height=300) with my_window.frame: with ui.VStack(): with ui.CollapsableFrame(): with ui.VStack(): ui.FloatField() ui.FloatField() ui.Button("Button 1")

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2022_09_09/maticodes/doh_2022_09_09/extension.py

# SPDX-License-Identifier: Apache-2.0 import carb import omni.ext import omni.kit.commands import omni.ui as ui import omni.usd from pxr import Gf, Sdf # Check out: USDColorModel # C:\ext_projects\omni-dev-office-hours\app\kit\exts\omni.example.ui\omni\example\ui\scripts\colorwidget_doc.py class MyWindow(ui.Window): def __init__(self, title: str = None, **kwargs): super().__init__(title, **kwargs) self._color_model = None self._color_changed_subs = [] self._path_model = None self._change_info_path_subscription = None self._path_changed_sub = None self._stage = omni.usd.get_context().get_stage() self.frame.set_build_fn(self._build_window) def _build_window(self): with ui.ScrollingFrame(): with ui.VStack(height=0): ui.Label("Property Path") self._path_model = ui.StringField().model self._path_changed_sub = self._path_model.subscribe_value_changed_fn( self._on_path_changed ) ui.Label("Color") with ui.HStack(spacing=5): self._color_model = ui.ColorWidget(width=0, height=0).model for item in self._color_model.get_item_children(): component = self._color_model.get_item_value_model(item) self._color_changed_subs.append(component.subscribe_value_changed_fn(self._on_color_changed)) ui.FloatField(component) def _on_mtl_attr_changed(self, path): color_attr = self._stage.GetAttributeAtPath(path) color_model_items = self._color_model.get_item_children() if color_attr: color = color_attr.Get() for i in range(len(color)): component = self._color_model.get_item_value_model(color_model_items[i]) component.set_value(color[i]) def _on_path_changed(self, model): if Sdf.Path.IsValidPathString(model.as_string): attr_path = Sdf.Path(model.as_string) color_attr = self._stage.GetAttributeAtPath(attr_path) if color_attr: self._change_info_path_subscription = omni.usd.get_watcher().subscribe_to_change_info_path( attr_path, self._on_mtl_attr_changed ) def _on_color_changed(self, model): values = [] for item in self._color_model.get_item_children(): component = self._color_model.get_item_value_model(item) values.append(component.as_float) if Sdf.Path.IsValidPathString(self._path_model.as_string): attr_path = Sdf.Path(self._path_model.as_string) color_attr = self._stage.GetAttributeAtPath(attr_path) if color_attr: color_attr.Set(Gf.Vec3f(*values[0:3])) def destroy(self) -> None: self._change_info_path_subscription = None self._color_changed_subs = None self._path_changed_sub = None return super().destroy() class MyExtension(omni.ext.IExt): def on_startup(self, ext_id): carb.log_info("[maticodes.doh_2022_09_09] Dev Office Hours Extension (2022-09-09) startup") self._window = MyWindow("MyWindow", width=300, height=300) def on_shutdown(self): carb.log_info("[maticodes.doh_2022_09_09] Dev Office Hours Extension (2022-09-09) shutdown") if self._window: self._window.destroy() self._window = None

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2022_09_09/scripts/undo_group.py

# SPDX-License-Identifier: Apache-2.0 import omni.kit.commands import omni.kit.undo # Requires Ctrl+Z twice to undo omni.kit.commands.execute('CreateMeshPrimWithDefaultXform', prim_type='Cube') omni.kit.commands.execute('CreateMeshPrimWithDefaultXform', prim_type='Cube') # Grouped into one undo with omni.kit.undo.group(): omni.kit.commands.execute('CreateMeshPrimWithDefaultXform', prim_type='Cube') omni.kit.commands.execute('CreateMeshPrimWithDefaultXform', prim_type='Cube')

Python

mati-nvidia/developer-office-hours/exts/maticodes.doh_2022_09_09/scripts/skip_undo_history.py

# SPDX-License-Identifier: Apache-2.0 import omni.kit.commands import omni.kit.primitive.mesh as mesh_cmds # Creates history omni.kit.commands.execute('CreateMeshPrimWithDefaultXform', prim_type='Cube') # Doesn't create history mesh_cmds.CreateMeshPrimWithDefaultXformCommand("Cube").do()

Python