FBX IO: Speed up animation export using NumPy #104884
@ -1985,8 +1985,8 @@ def fbx_data_animation_elements(root, scene_data):
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fps = scene.render.fps / scene.render.fps_base
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def keys_to_ktimes(keys):
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return (int(v) for v in convert_sec_to_ktime_iter((f / fps for f, _v in keys)))
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def keys_to_ktimes(keys_array):
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return (keys_array / fps * FBX_KTIME).astype(np.int64)
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# Animation stacks.
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for astack_key, alayers, alayer_key, name, f_start, f_end in animations:
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@ -2026,18 +2026,18 @@ def fbx_data_animation_elements(root, scene_data):
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acn_tmpl = elem_props_template_init(scene_data.templates, b"AnimationCurveNode")
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acn_props = elem_properties(acurvenode)
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for fbx_item, (acurve_key, def_value, keys, _acurve_valid) in acurves.items():
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for fbx_item, (acurve_key, def_value, (keys, values), _acurve_valid) in acurves.items():
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elem_props_template_set(acn_tmpl, acn_props, "p_number", fbx_item.encode(),
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def_value, animatable=True)
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# Only create Animation curve if needed!
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if keys:
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nbr_keys = len(keys)
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if nbr_keys:
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acurve = elem_data_single_int64(root, b"AnimationCurve", get_fbx_uuid_from_key(acurve_key))
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acurve.add_string(fbx_name_class(b"", b"AnimCurve"))
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acurve.add_string(b"")
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# key attributes...
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nbr_keys = len(keys)
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# flags...
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keyattr_flags = (
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1 << 2 | # interpolation mode, 1 = constant, 2 = linear, 3 = cubic.
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@ -2053,7 +2053,7 @@ def fbx_data_animation_elements(root, scene_data):
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elem_data_single_float64(acurve, b"Default", def_value)
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elem_data_single_int32(acurve, b"KeyVer", FBX_ANIM_KEY_VERSION)
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elem_data_single_int64_array(acurve, b"KeyTime", keys_to_ktimes(keys))
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elem_data_single_float32_array(acurve, b"KeyValueFloat", (v for _f, v in keys))
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elem_data_single_float32_array(acurve, b"KeyValueFloat", values.astype(np.float32, copy=False))
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elem_data_single_int32_array(acurve, b"KeyAttrFlags", keyattr_flags)
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elem_data_single_float32_array(acurve, b"KeyAttrDataFloat", keyattr_datafloat)
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elem_data_single_int32_array(acurve, b"KeyAttrRefCount", (nbr_keys,))
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@ -2254,36 +2254,97 @@ def fbx_animations_do(scene_data, ref_id, f_start, f_end, start_zero, objects=No
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dupli_parent_bdata = {dup.get_parent().bdata for dup in animdata_ob if dup.is_dupli}
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has_animated_duplis = bool(dupli_parent_bdata)
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currframe = f_start
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while currframe <= f_end:
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real_currframe = currframe - f_start if start_zero else currframe
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scene.frame_set(int(currframe), subframe=currframe - int(currframe))
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# Initialize keyframe times array. Each AnimationCurveNodeWrapper will share the same instance.
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currframes = np.arange(f_start, np.nextafter(f_end, np.inf), step=bake_step)
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real_currframes = currframes - f_start if start_zero else currframes
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if has_animated_duplis:
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# Changing the scene's frame invalidates existing dupli instances. To get the updated matrices of duplis for
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# this frame, we must get the duplis from the depsgraph again.
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for dup in depsgraph.object_instances:
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if (parent := dup.parent) and parent.original in dupli_parent_bdata:
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# ObjectWrapper caches its instances. Attempting to create a new instance updates the existing
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# ObjectWrapper instance with the current frame's matrix and then returns the existing instance.
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ObjectWrapper(dup)
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for ob_obj, (anim_loc, anim_rot, anim_scale) in animdata_ob.items():
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# We compute baked loc/rot/scale for all objects (rot being euler-compat with previous value!).
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p_rot = p_rots.get(ob_obj, None)
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loc, rot, scale, _m, _mr = ob_obj.fbx_object_tx(scene_data, rot_euler_compat=p_rot)
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p_rots[ob_obj] = rot
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anim_loc.add_keyframe(real_currframe, loc)
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anim_rot.add_keyframe(real_currframe, tuple(convert_rad_to_deg_iter(rot)))
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anim_scale.add_keyframe(real_currframe, scale)
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for anim_shape, me, shape in animdata_shapes.values():
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anim_shape.add_keyframe(real_currframe, (shape.value * 100.0,))
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for anim_camera_lens, anim_camera_focus_distance, camera in animdata_cameras.values():
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anim_camera_lens.add_keyframe(real_currframe, (camera.lens,))
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anim_camera_focus_distance.add_keyframe(real_currframe, (camera.dof.focus_distance * 1000 * gscale,))
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currframe += bake_step
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# Get all animated values
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def frame_values_gen():
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# Iterate through each frame and yield the values for that frame.
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int_currframes = currframes.astype(int)
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subframes = currframes - int_currframes
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for real_currframe, int_currframe, subframe in zip(real_currframes.data, int_currframes.data, subframes.data):
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scene.frame_set(int_currframe, subframe=subframe)
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if has_animated_duplis:
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# Changing the scene's frame invalidates existing dupli instances. To get the updated matrices of duplis
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# for this frame, we must get the duplis from the depsgraph again.
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for dup in depsgraph.object_instances:
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if (parent := dup.parent) and parent.original in dupli_parent_bdata:
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# ObjectWrapper caches its instances. Attempting to create a new instance updates the existing
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# ObjectWrapper instance with the current frame's matrix and then returns the existing instance.
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ObjectWrapper(dup)
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for ob_obj in animdata_ob:
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# We compute baked loc/rot/scale for all objects (rot being euler-compat with previous value!).
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p_rot = p_rots.get(ob_obj, None)
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loc, rot, scale, _m, _mr = ob_obj.fbx_object_tx(scene_data, rot_euler_compat=p_rot)
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p_rots[ob_obj] = rot
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yield from loc
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yield from rot
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yield from scale
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for anim_shape, me, shape in animdata_shapes.values():
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yield shape.value
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for anim_camera_lens, anim_camera_focus_distance, camera in animdata_cameras.values():
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yield camera.lens
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yield camera.dof.focus_distance
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# Calculating the total expected number of values reduces memory allocations while iterating and ensures the array
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# ends up the size we're expecting.
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num_ob_loc_values = num_ob_rot_values = num_ob_scale_values = 3
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num_values_per_ob = num_ob_loc_values + num_ob_rot_values + num_ob_scale_values
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num_ob_values = len(animdata_ob) * num_values_per_ob
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num_shape_values = len(animdata_shapes)
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num_values_per_camera = 2
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num_camera_values = len(animdata_cameras) * num_values_per_camera
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num_values_per_frame = num_ob_values + num_shape_values + num_camera_values
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num_frames = len(real_currframes)
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total_num_values = num_frames * num_values_per_frame
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all_values = np.fromiter(frame_values_gen(), dtype=np.float64, count=total_num_values)
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scene.frame_set(back_currframe, subframe=0.0)
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# View as each column being the values for a single frame and each row being all values for a single property in a
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# curve.
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all_values = all_values.reshape(num_frames, -1).T
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# Split into views of the arrays for each curve type.
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split_at = [num_ob_values, num_shape_values, num_camera_values]
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# The last value isn't needed, because the last split is assumed to go to the end of the array.
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split_at = split_at[:-1]
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# For uneven splits, np.split takes indices to split at, which can be acquired through a cumulative sum across the
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# list.
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split_at = np.cumsum(split_at)
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all_ob_values, all_shape_key_values, all_camera_values = np.split(all_values, split_at)
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# Set location/rotation/scale curves
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# Further split into views of the arrays for each object.
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num_animdata_ob = len(animdata_ob)
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all_ob_values = np.split(all_ob_values, num_animdata_ob) if num_animdata_ob else ()
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for (anim_loc, anim_rot, anim_scale), ob_values in zip(animdata_ob.values(), all_ob_values):
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# Further split into views of the location, rotation and scaling arrays.
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loc_xyz, rot_xyz, sca_xyz = np.split(ob_values, 3)
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# In-place convert to degrees.
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np.rad2deg(rot_xyz, out=rot_xyz)
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anim_loc.set_keyframes(real_currframes, loc_xyz)
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anim_rot.set_keyframes(real_currframes, rot_xyz)
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anim_scale.set_keyframes(real_currframes, sca_xyz)
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# Set shape key curves
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for (anim_shape, _me, _shape), shape_key_values in zip(animdata_shapes.values(), all_shape_key_values):
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# In-place convert from Blender Shape Key Value to FBX Deform Percent.
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shape_key_values *= 100.0
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anim_shape.set_keyframes(real_currframes, shape_key_values)
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# Set camera curves
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# Further split into views of the arrays for each camera.
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num_animdata_cameras = len(animdata_cameras)
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all_camera_values = np.split(all_camera_values, num_animdata_cameras) if num_animdata_cameras else ()
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for (anim_camera_lens, anim_camera_focus_distance, camera), camera_values in zip(animdata_cameras.values(), all_camera_values):
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lens_values, focus_distance_values = camera_values
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# In-place convert from Blender to FBX
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focus_distance_values *= (1000 * gscale)
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anim_camera_lens.set_keyframes(real_currframes, lens_values)
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anim_camera_focus_distance.set_keyframes(real_currframes, focus_distance_values)
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animations = {}
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# And now, produce final data (usable by FBX export code)
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@ -2848,8 +2909,8 @@ def fbx_data_from_scene(scene, depsgraph, settings):
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for _alayer_key, alayer in astack.values():
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for _acnode_key, acnode, _acnode_name in alayer.values():
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nbr_acnodes += 1
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for _acurve_key, _dval, acurve, acurve_valid in acnode.values():
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if acurve:
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for _acurve_key, _dval, (acurve_keys, acurve_values), acurve_valid in acnode.values():
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if len(acurve_keys):
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nbr_acurves += 1
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templates[b"AnimationStack"] = fbx_template_def_animstack(scene, settings, nbr_users=nbr_astacks)
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@ -2983,8 +3044,8 @@ def fbx_data_from_scene(scene, depsgraph, settings):
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connections.append((b"OO", acurvenode_id, alayer_id, None))
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# Animcurvenode -> object property.
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connections.append((b"OP", acurvenode_id, elem_id, fbx_prop.encode()))
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for fbx_item, (acurve_key, default_value, acurve, acurve_valid) in acurves.items():
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if acurve:
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for fbx_item, (acurve_key, default_value, (acurve_keys, acurve_values), acurve_valid) in acurves.items():
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if len(acurve_keys):
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# Animcurve -> Animcurvenode.
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connections.append((b"OP", get_fbx_uuid_from_key(acurve_key), acurvenode_id, fbx_item.encode()))
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@ -1234,8 +1234,10 @@ class AnimationCurveNodeWrapper:
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and easy API to handle those.
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"""
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__slots__ = (
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'elem_keys', '_keys', 'default_values', 'fbx_group', 'fbx_gname', 'fbx_props',
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'force_keying', 'force_startend_keying')
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'elem_keys', 'default_values', 'fbx_group', 'fbx_gname', 'fbx_props',
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'force_keying', 'force_startend_keying',
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'_frame_times_array', '_frame_values_array', '_frame_write_mask_array',
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)
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kinds = {
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'LCL_TRANSLATION': ("Lcl Translation", "T", ("X", "Y", "Z")),
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@ -1254,7 +1256,9 @@ class AnimationCurveNodeWrapper:
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self.fbx_props = [self.kinds[kind][2]]
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self.force_keying = force_keying
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self.force_startend_keying = force_startend_keying
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self._keys = [] # (frame, values, write_flags)
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self._frame_times_array = None
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self._frame_values_array = None
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self._frame_write_mask_array = None
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if default_values is not ...:
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assert(len(default_values) == len(self.fbx_props[0]))
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self.default_values = default_values
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@ -1263,7 +1267,7 @@ class AnimationCurveNodeWrapper:
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def __bool__(self):
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# We are 'True' if we do have some validated keyframes...
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return bool(self._keys) and (True in ((True in k[2]) for k in self._keys))
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return self._frame_write_mask_array is not None and bool(np.any(self._frame_write_mask_array))
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def add_group(self, elem_key, fbx_group, fbx_gname, fbx_props):
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"""
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@ -1276,19 +1280,30 @@ class AnimationCurveNodeWrapper:
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self.fbx_gname.append(fbx_gname)
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self.fbx_props.append(fbx_props)
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def add_keyframe(self, frame, values):
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def set_keyframes(self, keyframe_times, keyframe_values):
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"""
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Add a new keyframe to all curves of the group.
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Set all keyframe times and values of the group.
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Values can be a 2D array where each row is a separate curve.
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"""
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assert(len(values) == len(self.fbx_props[0]))
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self._keys.append((frame, values, [True] * len(values))) # write everything by default.
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# View 1D keyframe_values as 2D with a single row, so that the same iterative code can be used for both 1D and
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# 2D inputs.
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if len(keyframe_values.shape) == 1:
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keyframe_values = keyframe_values[np.newaxis]
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# There must be a time for each column of values.
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assert(len(keyframe_times) == keyframe_values.shape[1])
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# There must be as many rows of values as there are properties.
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assert(len(self.fbx_props[0]) == len(keyframe_values))
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write_mask = np.full_like(keyframe_values, True, dtype=bool) # write everything by default
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self._frame_times_array = keyframe_times
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self._frame_values_array = keyframe_values
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self._frame_write_mask_array = write_mask
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def simplify(self, fac, step, force_keep=False):
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"""
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Simplifies sampled curves by only enabling samples when:
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* their values relatively differ from the previous sample ones.
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"""
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if not self._keys:
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if self._frame_times_array is None:
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return
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if fac == 0.0:
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@ -1297,36 +1312,87 @@ class AnimationCurveNodeWrapper:
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# So that, with default factor and step values (1), we get:
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min_reldiff_fac = fac * 1.0e-3 # min relative value evolution: 0.1% of current 'order of magnitude'.
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min_absdiff_fac = 0.1 # A tenth of reldiff...
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keys = self._keys
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p_currframe, p_key, p_key_write = keys[0]
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p_keyed = list(p_key)
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are_keyed = [False] * len(p_key)
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for currframe, key, key_write in keys:
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for idx, (val, p_val) in enumerate(zip(key, p_key)):
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key_write[idx] = False
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p_keyedval = p_keyed[idx]
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if val == p_val:
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# Never write keyframe when value is exactly the same as prev one!
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continue
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# This is contracted form of relative + absolute-near-zero difference:
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# absdiff = abs(a - b)
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# if absdiff < min_reldiff_fac * min_absdiff_fac:
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# return False
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# return (absdiff / ((abs(a) + abs(b)) / 2)) > min_reldiff_fac
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# Note that we ignore the '/ 2' part here, since it's not much significant for us.
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if abs(val - p_val) > (min_reldiff_fac * max(abs(val) + abs(p_val), min_absdiff_fac)):
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# If enough difference from previous sampled value, key this value *and* the previous one!
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key_write[idx] = True
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p_key_write[idx] = True
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p_keyed[idx] = val
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are_keyed[idx] = True
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elif abs(val - p_keyedval) > (min_reldiff_fac * max((abs(val) + abs(p_keyedval)), min_absdiff_fac)):
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# Else, if enough difference from previous keyed value, key this value only!
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key_write[idx] = True
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p_keyed[idx] = val
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are_keyed[idx] = True
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p_currframe, p_key, p_key_write = currframe, key, key_write
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for values, write_mask in zip(self._frame_values_array, self._frame_write_mask_array):
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# Initialise to no frames written.
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write_mask[:] = False
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# Create views of the 'previous' and 'current'
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p_key_write_mask = write_mask[:-1]
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key_write_mask = write_mask[1:]
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p_val = values[:-1]
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val = values[1:]
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abs_values = np.abs(values)
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p_val_abs = abs_values[:-1]
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val_abs = abs_values[1:]
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# This is contracted form of relative + absolute-near-zero difference:
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# absdiff = abs(a - b)
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# if absdiff < min_reldiff_fac * min_absdiff_fac:
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# return False
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# return (absdiff / ((abs(a) + abs(b)) / 2)) > min_reldiff_fac
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# Note that we ignore the '/ 2' part here, since it's not much significant for us.
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enough_diff_prev_sampled_mask = (
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np.abs(val - p_val) > (min_reldiff_fac * np.maximum(val_abs + p_val_abs, min_absdiff_fac))
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)
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# If enough difference from previous sampled value, key this value *and* the previous one!
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# Unless it is forcefully keyed later, this is the only way that the first value can be keyed.
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p_key_write_mask[enough_diff_prev_sampled_mask] = True
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key_write_mask[enough_diff_prev_sampled_mask] = True
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# The other case where we key a value is if there is enough difference between it and the previous keyed
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# value.
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# Values that equal their previous value are skipped and the remaining values to check are those which are
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# currently not keyed
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not_keyed_mask = ~key_write_mask
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check_diff_mask = np.logical_and(not_keyed_mask, p_val != val)
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val_check_idx = np.flatnonzero(check_diff_mask)
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val_check = val[val_check_idx]
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val_abs_check = val_abs[val_check_idx]
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# For each frame, get the index of the previous keyed value.
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prev_keyframe_indices = np.arange(1, len(values))
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# The first 'previous keyframe' defaults to values[0], even if it's not actually keyed.
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prev_keyframe_indices[not_keyed_mask] = 0
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# Accumulative maximum fills in the zeroed indices with the closest previous non-zero index.
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prev_keyframe_indices = np.maximum.accumulate(prev_keyframe_indices)
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# Extract only the indices that need checking.
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prev_keyframe_indices = prev_keyframe_indices[val_check_idx]
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p_kf_vals = values[prev_keyframe_indices]
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p_kf_vals_abs = np.abs(p_kf_vals)
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||||
# We check our relative + absolute-near-zero difference again, but against the previous keyed value this
|
||||
# time.
|
||||
enough_diff_prev_keyed_mask = (
|
||||
np.abs(val_check - p_kf_vals)
|
||||
> (min_reldiff_fac * np.maximum(val_abs_check + p_kf_vals_abs, min_absdiff_fac))
|
||||
)
|
||||
if np.any(enough_diff_prev_keyed_mask):
|
||||
# If there are any that are different enough from the previous keyed value, then we have to check them
|
||||
# all iteratively because keying a new value can change the previous keyed value of some elements, which
|
||||
# can change whether a value is different enough from its previous keyed value.
|
||||
last_new_kf_idx = -1
|
||||
last_new_kf_val = -1
|
||||
last_new_kf_val_abs = -1
|
||||
# Accessing .data, the memoryview of the array iteratively or by individual index is faster than doing
|
||||
# the same with the array itself.
|
||||
key_write_mv = key_write_mask.data
|
||||
zipped = zip(val_check_idx.data, val_check.data, val_abs_check.data, prev_keyframe_indices.data,
|
||||
enough_diff_prev_keyed_mask.data)
|
||||
for cur_idx, cur_val, abs_cur_val, p_kf_idx, enough_diff in zipped:
|
||||
if last_new_kf_idx > p_kf_idx:
|
||||
# The previous keyframe is new and was not included when enough_diff_prev_keyed_mask was
|
||||
# calculated, so whether the current value is different enough from the previous keyframe needs
|
||||
# to be calculated.
|
||||
# Check if the relative + absolute-near-zero difference is enough to key this frame.
|
||||
enough_diff = (abs(cur_val - last_new_kf_val)
|
||||
> (min_reldiff_fac * max(abs_cur_val + last_new_kf_val_abs, min_absdiff_fac)))
|
||||
if enough_diff:
|
||||
# The current index needs to be keyed.
|
||||
last_new_kf_idx = cur_idx
|
||||
last_new_kf_val = cur_val
|
||||
last_new_kf_val_abs = abs_cur_val
|
||||
key_write_mv[cur_idx] = True
|
||||
|
||||
# If we write nothing (action doing nothing) and are in 'force_keep' mode, we key everything! :P
|
||||
# See T41766.
|
||||
@ -1334,25 +1400,27 @@ class AnimationCurveNodeWrapper:
|
||||
# are not animated, but are children of animated ones, so added an option to systematically force writing
|
||||
# one key in this case.
|
||||
# See T41719, T41605, T41254...
|
||||
if self.force_keying or (force_keep and not self):
|
||||
are_keyed[:] = [True] * len(are_keyed)
|
||||
if self.force_keying or (force_keep and not np.any(self._frame_write_mask_array)):
|
||||
are_keyed = [True] * len(self._frame_write_mask_array)
|
||||
else:
|
||||
are_keyed = np.any(self._frame_write_mask_array, axis=1)
|
||||
|
||||
# If we did key something, ensure first and last sampled values are keyed as well.
|
||||
if self.force_startend_keying:
|
||||
for idx, is_keyed in enumerate(are_keyed):
|
||||
for is_keyed, write_mask in zip(are_keyed, self._frame_write_mask_array):
|
||||
if is_keyed:
|
||||
keys[0][2][idx] = keys[-1][2][idx] = True
|
||||
write_mask[:1] = True
|
||||
write_mask[-1:] = True
|
||||
|
||||
def get_final_data(self, scene, ref_id, force_keep=False):
|
||||
"""
|
||||
Yield final anim data for this 'curvenode' (for all curvenodes defined).
|
||||
force_keep is to force to keep a curve even if it only has one valid keyframe.
|
||||
"""
|
||||
curves = [[] for k in self._keys[0][1]]
|
||||
for currframe, key, key_write in self._keys:
|
||||
for curve, val, wrt in zip(curves, key, key_write):
|
||||
if wrt:
|
||||
curve.append((currframe, val))
|
||||
curves = [
|
||||
(self._frame_times_array[write_mask], values[write_mask])
|
||||
for values, write_mask in zip(self._frame_values_array, self._frame_write_mask_array)
|
||||
]
|
||||
|
||||
force_keep = force_keep or self.force_keying
|
||||
for elem_key, fbx_group, fbx_gname, fbx_props in \
|
||||
@ -1363,8 +1431,9 @@ class AnimationCurveNodeWrapper:
|
||||
fbx_item = FBX_ANIM_PROPSGROUP_NAME + "|" + fbx_item
|
||||
curve_key = get_blender_anim_curve_key(scene, ref_id, elem_key, fbx_group, fbx_item)
|
||||
# (curve key, default value, keyframes, write flag).
|
||||
group[fbx_item] = (curve_key, def_val, c,
|
||||
True if (len(c) > 1 or (len(c) > 0 and force_keep)) else False)
|
||||
times = c[0]
|
||||
write_flag = len(times) > (0 if force_keep else 1)
|
||||
group[fbx_item] = (curve_key, def_val, c, write_flag)
|
||||
yield elem_key, group_key, group, fbx_group, fbx_gname
|
||||
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user