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https://github.com/DarklightGames/io_scene_psk_psa.git
synced 2024-11-30 17:34:28 +01:00
PSA import operations now take dramatically less time to complete.
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commit
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@ -1,5 +1,7 @@
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import bpy
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import bpy
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import os
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import os
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from math import inf
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import numpy as np
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from mathutils import Vector, Quaternion, Matrix
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from mathutils import Vector, Quaternion, Matrix
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from .data import Psa
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from .data import Psa
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from typing import List, AnyStr, Optional
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from typing import List, AnyStr, Optional
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@ -7,6 +9,7 @@ from bpy.types import Operator, Action, UIList, PropertyGroup, Panel, Armature,
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from bpy_extras.io_utils import ExportHelper, ImportHelper
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from bpy_extras.io_utils import ExportHelper, ImportHelper
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from bpy.props import StringProperty, BoolProperty, CollectionProperty, PointerProperty, IntProperty
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from bpy.props import StringProperty, BoolProperty, CollectionProperty, PointerProperty, IntProperty
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from .reader import PsaReader
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from .reader import PsaReader
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import datetime
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class PsaImporter(object):
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class PsaImporter(object):
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@ -87,8 +90,16 @@ class PsaImporter(object):
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import_bone.orig_quat = armature_bone.matrix_local.to_quaternion()
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import_bone.orig_quat = armature_bone.matrix_local.to_quaternion()
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import_bone.post_quat = import_bone.orig_quat.conjugated()
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import_bone.post_quat = import_bone.orig_quat.conjugated()
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io_time = datetime.timedelta()
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math_time = datetime.timedelta()
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keyframe_time = datetime.timedelta()
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# Create and populate the data for new sequences.
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# Create and populate the data for new sequences.
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for sequence in sequences:
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for sequence in sequences:
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# F-curve data buffer for all bones. This is used later on to avoid adding redundant keyframes.
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next_frame_bones_fcurve_data = [(inf, inf, inf, inf, inf, inf, inf)] * len(import_bones)
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# Add the action.
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action = bpy.data.actions.new(name=sequence.name.decode())
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action = bpy.data.actions.new(name=sequence.name.decode())
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# Create f-curves for the rotation and location of each bone.
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# Create f-curves for the rotation and location of each bone.
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@ -109,17 +120,21 @@ class PsaImporter(object):
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# Read the sequence keys from the PSA file.
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# Read the sequence keys from the PSA file.
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sequence_name = sequence.name.decode('windows-1252')
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sequence_name = sequence.name.decode('windows-1252')
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now = datetime.datetime.now()
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sequence_keys = psa_reader.read_sequence_keys(sequence_name)
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sequence_keys = psa_reader.read_sequence_keys(sequence_name)
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io_time += datetime.datetime.now() - now
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# Add keyframes for each frame of the sequence.
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# Add keyframes for each frame of the sequence.
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key_index = 0
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for frame_index in reversed(range(sequence.frame_count)):
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for frame_index in range(sequence.frame_count):
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key_index = frame_index * len(import_bones)
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for bone_index, import_bone in enumerate(import_bones):
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for bone_index, import_bone in enumerate(import_bones):
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if import_bone is None:
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if import_bone is None:
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# bone does not exist in the armature, skip it
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# bone does not exist in the armature, skip it
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key_index += 1
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key_index += 1
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continue
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continue
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now = datetime.datetime.now()
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# Convert world-space transforms to local-space transforms.
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# Convert world-space transforms to local-space transforms.
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key_rotation = Quaternion(tuple(sequence_keys[key_index].rotation))
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key_rotation = Quaternion(tuple(sequence_keys[key_index].rotation))
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q = import_bone.post_quat.copy()
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q = import_bone.post_quat.copy()
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@ -134,18 +149,38 @@ class PsaImporter(object):
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key_location = Vector(tuple(sequence_keys[key_index].location))
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key_location = Vector(tuple(sequence_keys[key_index].location))
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loc = key_location - import_bone.orig_loc
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loc = key_location - import_bone.orig_loc
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loc.rotate(import_bone.post_quat.conjugated())
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loc.rotate(import_bone.post_quat.conjugated())
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math_time += datetime.datetime.now() - now
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now = datetime.datetime.now()
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# Add keyframe data for each of the associated f-curves.
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# Add keyframe data for each of the associated f-curves.
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bone_fcurve_data = quat.w, quat.x, quat.y, quat.z, loc.x, loc.y, loc.z
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bone_fcurve_data = quat.w, quat.x, quat.y, quat.z, loc.x, loc.y, loc.z
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if frame_index == 0:
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# Always add a keyframe on the first frame.
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for fcurve, datum in zip(import_bone.fcurves, bone_fcurve_data):
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for fcurve, datum in zip(import_bone.fcurves, bone_fcurve_data):
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fcurve.keyframe_points.insert(frame_index, datum, options={'FAST'})
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fcurve.keyframe_points.insert(frame_index, datum, options={'FAST'})
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else:
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# For each f-curve, check that the next frame has data that differs from the current frame.
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# If so, add a keyframe for the current frame.
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# Note that we are iterating the frames in reverse order.
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threshold = 0.001
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for fcurve, datum, old_datum in zip(import_bone.fcurves, bone_fcurve_data, next_frame_bones_fcurve_data[bone_index]):
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# Only
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if abs(datum - old_datum) > threshold:
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fcurve.keyframe_points.insert(frame_index, datum, options={'FAST'})
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next_frame_bones_fcurve_data[bone_index] = bone_fcurve_data
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keyframe_time += datetime.datetime.now() - now
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key_index += 1
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key_index += 1
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# Explicitly update the f-curves.
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# TODO: eliminate last keyframe if there are only two keyframes (beginning + end and the values are identical)
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for import_bone in filter(lambda x: x is not None, import_bones):
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# in this way, we will effectively have cleaned the keyframes inline.
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for fcurve in import_bone.fcurves:
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pass
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fcurve.update()
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print(f'io_time: {io_time}')
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print(f'math_time: {math_time}')
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print(f'keyframe_time: {keyframe_time}')
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class PsaImportActionListItem(PropertyGroup):
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class PsaImportActionListItem(PropertyGroup):
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