Update geom_utils.py
Added notes on room_norm_vector
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@@ -45,11 +45,20 @@ def room_norm_vector(vec, room_size=1.) -> Vector:
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The room is a cube with the camera at its center. We use a chebyshev normalization
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The room is a cube with the camera at its center. We use a chebyshev normalization
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to convert a vector in world or camera space into a vector the represents the projection
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to convert a vector in world or camera space into a vector the represents the projection
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of that vector onto the room's walls.
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of that vector onto the room's walls. The Room Vector is the immediate the X, Y and Z
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coordinate of the corresponding ADM Block Format source object position.
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The Pro Tools/Dolby Atmos workflow I am targeting uses "Room Centric" panner coordinates
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The Pro Tools/Dolby Atmos workflow I am targeting uses "Room Centric" panner coordinates
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("cartesian allocentric coordinates" in ADM speak) and this process seems to yield good
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("cartesian allocentric coordinates" in ADM speak) and this process seems to yield good
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results.
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results.
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I also experimented with using normalized camera frame coordinates from the
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bpy_extras.object_utils.world_to_camera_view method and this gives very good results as
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long as the object is on-screen; coordinates for objects off the screen are unusable.
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In the future it would be worth exploring wether there's a way to produce ADM
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coordinates that are "Screen-accurate" while the object is on-screen, but still gives
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sensible results when the object is off-screen as well.
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"""
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"""
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chebyshev = norm(vec, ord=numpy.inf)
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chebyshev = norm(vec, ord=numpy.inf)
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if chebyshev < room_size:
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if chebyshev < room_size:
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@@ -99,4 +108,4 @@ def speakers_by_min_distance(scene, speakers):
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def speakers_by_start_time(speaker_objs):
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def speakers_by_start_time(speaker_objs):
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return sorted(speaker_objs, key=(lambda spk: speaker_active_time_range(spk).start_frame))
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return sorted(speaker_objs, key=(lambda spk: speaker_active_time_range(spk).start_frame))
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