43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
"""Use a blueprint to show a tensor view."""
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import numpy as np
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import rerun as rr
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import rerun.blueprint as rrb
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rr.init("rerun_example_tensor", spawn=True)
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tensor = np.random.randint(0, 256, (32, 240, 320, 3), dtype=np.uint8)
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rr.log("tensor", rr.Tensor(tensor, dim_names=("batch", "x", "y", "channel")))
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blueprint = rrb.Blueprint(
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rrb.TensorView(
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origin="tensor",
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name="Tensor",
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# Explicitly pick which dimensions to show.
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slice_selection=rrb.TensorSliceSelection(
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# Use the first dimension as width.
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width=1,
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# Use the second dimension as height and invert it.
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height=rr.TensorDimensionSelection(dimension=2, invert=True),
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# Set which indices to show for the other dimensions.
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indices=[
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rr.TensorDimensionIndexSelection(dimension=2, index=4),
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rr.TensorDimensionIndexSelection(dimension=3, index=5),
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],
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# Show a slider for dimension 2 only. If not specified, all
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# dimensions in `indices` will have sliders.
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slider=[2],
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),
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# Set a scalar mapping with a custom colormap, gamma and
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# magnification filter.
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scalar_mapping=rrb.TensorScalarMapping(
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colormap="turbo", gamma=1.5, mag_filter="linear"
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),
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# Fill the view, ignoring aspect ratio.
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view_fit="fill",
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),
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collapse_panels=True,
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)
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rr.send_blueprint(blueprint)
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