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Intensity Normalization #36

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seungtae-Han opened this issue Oct 17, 2023 · 2 comments
Open

Intensity Normalization #36

seungtae-Han opened this issue Oct 17, 2023 · 2 comments

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@seungtae-Han
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Hello RELLIS-3D,

I am currently training a deep learning network for point cloud segmentation using Rellis-3d, and I am conducting inference on point clouds that I have obtained using my lidar sensor.
The lidar I use (both Rellis-3d and the lidar I use) is os1 64.

The lidar point cloud I have acquired has intensity values greater than 1.
However, the intensity in Rellis-3d is observed to be between 0 and less than 1, and I'm curious about how the values were normalized!
(For example, did you acquire lidar data and then complete Rellis-3d by dividing all intensity values by the largest intensity value?)

This is a visualization of the intensity distribution from a randomly selected bin file in the Rellis-3d dataset:
image

And this is my lidar data:
image

@kasiv008
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The rellis 3D intensity data is normalized from 16 bit. You would need to multiply the data with 65535 to get the raw intensity value.

@seungtae-Han
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The rellis 3D intensity data is normalized from 16 bit. You would need to multiply the data with 65535 to get the raw intensity value.

Thank you!!! You've been a great help to me.

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