From 98d2c3dff0054d1afb4c3aabe24fc1caccc23d35 Mon Sep 17 00:00:00 2001 From: Luca Scheller Date: Sat, 6 Apr 2024 15:55:44 -0700 Subject: [PATCH] Add motionblur section. --- code/core/elements.py | 122 +++++++++++++++++- docs/src/SUMMARY.md | 1 + docs/src/core/elements/animation.md | 26 +++- ...otionblurDeformingVelocityAcceleration.png | Bin 0 -> 798625 bytes docs/src/dcc/houdini/fx/motionblur.md | 20 +++ files/dcc/houdini/motionblur/MotionBlur.hipnc | Bin 0 -> 399617 bytes 6 files changed, 165 insertions(+), 4 deletions(-) create mode 100644 docs/src/dcc/houdini/fx/media/motionblurDeformingVelocityAcceleration.png create mode 100644 docs/src/dcc/houdini/fx/motionblur.md create mode 100644 files/dcc/houdini/motionblur/MotionBlur.hipnc diff --git a/code/core/elements.py b/code/core/elements.py index 428e4ba..507df9e 100644 --- a/code/core/elements.py +++ b/code/core/elements.py @@ -1819,6 +1819,124 @@ def Xform "explosion" ( # stage.Export(stage_identifier) #// ANCHOR_END: animationFPS +#// ANCHOR: animationMotionVelocityAcceleration +import numpy as np + +from pxr import Sdf, Usd, UsdGeom + + +MOTION_ATTRIBUTE_NAMES_BY_TYPE_NAME = { + UsdGeom.Tokens.Mesh: (UsdGeom.Tokens.points, UsdGeom.Tokens.velocities, UsdGeom.Tokens.accelerations), + UsdGeom.Tokens.Points: (UsdGeom.Tokens.points, UsdGeom.Tokens.velocities, UsdGeom.Tokens.accelerations), + UsdGeom.Tokens.BasisCurves: (UsdGeom.Tokens.points, UsdGeom.Tokens.velocities, UsdGeom.Tokens.accelerations), + UsdGeom.Tokens.PointInstancer: (UsdGeom.Tokens.positions, UsdGeom.Tokens.velocities, UsdGeom.Tokens.accelerations) +} +# To lookup schema specific names +# schema_registry = Usd.SchemaRegistry() +# schema = schema_registry.FindConcretePrimDefinition("Mesh") +# print(schema.GetPropertyNames()) + +def compute_time_derivative(layer, prim_spec, attr_name, ref_attr_name, time_code_inc, multiplier=1.0): + ref_attr_spec = prim_spec.attributes.get(ref_attr_name) + if not ref_attr_spec: + return + attr_spec = prim_spec.attributes.get(attr_name) + if attr_spec: + return + time_codes = layer.ListTimeSamplesForPath(ref_attr_spec.path) + if len(time_codes) == 1: + return + center_time_codes = {idx: t for idx, t in enumerate(time_codes) if int(t) == t} + if not center_time_codes: + return + attr_spec = Sdf.AttributeSpec(prim_spec, attr_name, Sdf.ValueTypeNames.Vector3fArray) + time_code_count = len(time_codes) + for time_code_idx, time_code in center_time_codes.items(): + if time_code_idx == 0: + time_code_prev = time_code + time_code_next = time_codes[time_code_idx+1] + elif time_code_idx == time_code_count - 1: + time_code_prev = time_codes[time_code_idx-1] + time_code_next = time_code + else: + time_code_prev = time_codes[time_code_idx-1] + time_code_next = time_codes[time_code_idx+1] + time_interval_scale = 1.0/(time_code_next - time_code_prev) + ref_prev = layer.QueryTimeSample(ref_attr_spec.path, time_code_prev) + ref_next = layer.QueryTimeSample(ref_attr_spec.path, time_code_next) + if not ref_prev or not ref_next: + continue + if len(ref_prev) != len(ref_next): + continue + ref_prev = np.array(ref_prev) + ref_next = np.array(ref_next) + value = ((ref_next - ref_prev) * time_interval_scale) / (time_code_inc * 2.0) + layer.SetTimeSample(attr_spec.path, time_code, value * multiplier) + +def compute_velocities(layer, prim_spec, time_code_fps, multiplier=1.0): + # Time Code + time_code_inc = 1.0/time_code_fps + prim_type_name = prim_spec.typeName + if prim_type_name: + # Defined prim type name + attr_type_names = MOTION_ATTRIBUTE_NAMES_BY_TYPE_NAME.get(prim_type_name) + if not attr_type_names: + return + pos_attr_name, vel_attr_name, _ = attr_type_names + else: + # Fallback + pos_attr_name, vel_attr_name, _ = MOTION_ATTRIBUTE_NAMES_BY_TYPE_NAME[UsdGeom.Tokens.Mesh] + pos_attr_spec = prim_spec.attributes.get(pos_attr_name) + if not pos_attr_spec: + return + # Velocities + compute_time_derivative(layer, + prim_spec, + vel_attr_name, + pos_attr_name, + time_code_inc, + multiplier) + +def compute_accelerations(layer, prim_spec, time_code_fps, multiplier=1.0): + # Time Code + time_code_inc = 1.0/time_code_fps + prim_type_name = prim_spec.typeName + if prim_type_name: + # Defined prim type name + attr_type_names = MOTION_ATTRIBUTE_NAMES_BY_TYPE_NAME.get(prim_type_name) + if not attr_type_names: + return + _, vel_attr_name, accel_attr_name = attr_type_names + else: + # Fallback + _, vel_attr_name, accel_attr_name = MOTION_ATTRIBUTE_NAMES_BY_TYPE_NAME[UsdGeom.Tokens.Mesh] + vel_attr_spec = prim_spec.attributes.get(vel_attr_name) + if not vel_attr_spec: + return + # Acceleration + compute_time_derivative(layer, + prim_spec, + accel_attr_name, + vel_attr_name, + time_code_inc, + multiplier) + +### Run this on a layer with time samples ### +layer = Sdf.Layer.CreateAnonymous() +time_code_fps = layer.timeCodesPerSecond or 24.0 +multiplier = 5 + +def traversal_kernel(path): + if not path.IsPrimPath(): + return + prim_spec = layer.GetPrimAtPath(path) + compute_velocities(layer, prim_spec, time_code_fps, multiplier) + compute_accelerations(layer, prim_spec, time_code_fps, multiplier) + +with Sdf.ChangeBlock(): + layer.Traverse(layer.pseudoRoot.path, traversal_kernel) +#// ANCHOR_END: animationMotionVelocityAcceleration + #// ANCHOR: animationStitchCmdlineTool ... @@ -2149,7 +2267,7 @@ def "prim" ( #// ANCHOR: schemasRegistry from pxr import Plug, Sdf, Tf, Usd -registry = Usd.Schema.Registry() +registry = Usd.SchemaRegistry() ## Get Tf.Type registry entry (which allows us to get the Python class) ## The result can also be used to run IsA checks for typed schemas. @@ -2179,7 +2297,7 @@ def "prim" ( #// ANCHOR: schemasRegistryToPrimDefinition from pxr import Usd -registry = Usd.Schema.Registry() +registry = Usd.SchemaRegistry() ## Useful inspection lookups ## # Find API schemas. This uses the `Schema Type Name` syntax: cube_def = registry.FindConcretePrimDefinition("Cube") diff --git a/docs/src/SUMMARY.md b/docs/src/SUMMARY.md index 71272e0..3889717 100644 --- a/docs/src/SUMMARY.md +++ b/docs/src/SUMMARY.md @@ -67,5 +67,6 @@ [comment]:# - [Volumes ⚒️](./dcc/houdini/fx/volumes.md) [comment]:# - [Transform Space (Local/World Space) ⚒️](./dcc/houdini/fx/transformspace.md) - [Frustum Culling](./dcc/houdini/fx/frustumCulling.md) + - [Motion Blur (Deforming/Xforms/Velocity/Acceleration)](./dcc/houdini/fx/motionblur.md) - [Tips & Tricks](./dcc/houdini/faq/overview.md) - [Performance Optimizations](./dcc/houdini/performance/overview.md) \ No newline at end of file diff --git a/docs/src/core/elements/animation.md b/docs/src/core/elements/animation.md index f10ce73..ab17331 100644 --- a/docs/src/core/elements/animation.md +++ b/docs/src/core/elements/animation.md @@ -15,8 +15,9 @@ Usd encodes time related data in a very simple format: 2. [Layer Offset (A Non-Animateable Time Offset/Scale for Composition Arcs)](#animationLayerOffset) 3. [Reading & Writing default values, time samples and value blocks](#animationReadWrite) 4. [Time Metrics (Frames Per Second & Frame Range)](#animationMetadata) - 5. [Stitching/Combining time samples](#animationStitch) - 6. [Value Clips (Loading time samples from multiple files)](#animationValueClips) + 5. [Motionblur - Computing Velocities and Accelerations](#animationMotionVelocityAcceleration) + 6. [Stitching/Combining time samples](#animationStitch) + 7. [Value Clips (Loading time samples from multiple files)](#animationValueClips) ## TL;DR - Animation/Time Varying Data In-A-Nutshell ~~~admonish tip @@ -246,6 +247,27 @@ The `startTimeCode` and `endTimeCode` entries give intent hints on what the (use ``` ~~~ + + + + +### Motion Blur - Computing Velocities and Accelerations +Motion blur is computed by the hydra delegate of your choice using either the interpolated position data or by making use of velocity/acceleration data. +Depending on the image-able schema, the attribute namings slightly differ, e.g. for meshes the names are 'UsdGeom.Tokens.points', 'UsdGeom.Tokens.velocities', 'UsdGeom.Tokens.accelerations'. Check the specific schema for the property names. + +~~~admonish warning +Depending on the delegate, you will likely have to set specific primvars that control the sample rate of the position/acceleration data. +~~~ + +We can also easily derive velocities/accelerations from position data, if our point count doesn't change: +~~~admonish info title="" +```python +{{#include ../../../../code/core/elements.py:animationMotionVelocityAcceleration}} +``` +~~~ + +You can find a interactive Houdini demo of this in our [Houdini - Motion Blur](../../dcc/houdini/fx/motionblur.md) section. + ### Stitching/Combining time samples When working with Usd in DCCs, we often have a large amount of data that needs to be exported per frame. To speed this up, a common practice is to have a render farm, where multiple machines render out different frame ranges of scene. 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