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Fixed duplicate code issue
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This Blender addon allows you to import and export meshes and animations to and from the [PSK and PSA file formats](https://wiki.beyondunreal.com/PSK_%26_PSA_file_formats) used in many versions of the Unreal Engine.
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This Blender addon allows you to import and export meshes and animations to and from the [PSK and PSA file formats](https://wiki.beyondunreal.com/PSK_%26_PSA_file_formats) used in many versions of the Unreal Engine.
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## Compatibility
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# Compatibility
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| Blender Version | Addon Version | Long Term Support |
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| Blender Version | Addon Version | Long Term Support |
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|------------------------------------------------------------|--------------------------------------------------------------------------------|-------------------|
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|------------------------------------------------------------|--------------------------------------------------------------------------------|-------------------|
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@ -125,52 +125,6 @@ def _resample_sequence_data_matrix(sequence_data_matrix: np.ndarray, frame_step:
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return resampled_sequence_data_matrix
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return resampled_sequence_data_matrix
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def _resample_sequence_data_matrix(sequence_data_matrix: np.ndarray, time_step: float = 1.0) -> np.ndarray:
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'''
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Resamples the sequence data matrix to the target frame count.
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@param sequence_data_matrix: FxBx7 matrix where F is the number of frames, B is the number of bones, and X is the
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number of data elements per bone.
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@param target_frame_count: The number of frames to resample to.
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@return: The resampled sequence data matrix, or sequence_data_matrix if no resampling is necessary.
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'''
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def get_sample_times(source_frame_count: int, time_step: float) -> typing.Iterable[float]:
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# TODO: for correctness, we should also emit the target frame time as well (because the last frame can be a
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# fractional frame).
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time = 0.0
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while time < source_frame_count - 1:
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yield time
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time += time_step
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yield source_frame_count - 1
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if time_step == 1.0:
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# No resampling is necessary.
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return sequence_data_matrix
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source_frame_count, bone_count = sequence_data_matrix.shape[:2]
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sample_times = list(get_sample_times(source_frame_count, time_step))
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target_frame_count = len(sample_times)
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resampled_sequence_data_matrix = np.zeros((target_frame_count, bone_count, 7), dtype=float)
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for sample_index, sample_time in enumerate(sample_times):
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frame_index = int(sample_time)
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if sample_time % 1.0 == 0.0:
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# Sample time has no fractional part, so just copy the frame.
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resampled_sequence_data_matrix[sample_index, :, :] = sequence_data_matrix[frame_index, :, :]
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else:
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# Sample time has a fractional part, so interpolate between two frames.
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next_frame_index = frame_index + 1
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for bone_index in range(bone_count):
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source_frame_1_data = sequence_data_matrix[frame_index, bone_index, :]
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source_frame_2_data = sequence_data_matrix[next_frame_index, bone_index, :]
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factor = sample_time - frame_index
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q = Quaternion((source_frame_1_data[:4])).slerp(Quaternion((source_frame_2_data[:4])), factor)
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q.normalize()
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l = Vector(source_frame_1_data[4:]).lerp(Vector(source_frame_2_data[4:]), factor)
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resampled_sequence_data_matrix[sample_index, bone_index, :] = q.w, q.x, q.y, q.z, l.x, l.y, l.z
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return resampled_sequence_data_matrix
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def import_psa(context: Context, psa_reader: PsaReader, armature_object: Object, options: PsaImportOptions) -> PsaImportResult:
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def import_psa(context: Context, psa_reader: PsaReader, armature_object: Object, options: PsaImportOptions) -> PsaImportResult:
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result = PsaImportResult()
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result = PsaImportResult()
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sequences = [psa_reader.sequences[x] for x in options.sequence_names]
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sequences = [psa_reader.sequences[x] for x in options.sequence_names]
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