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[Feature request] Volumetric Detection Ops #1205

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mibaumgartner opened this issue Nov 9, 2020 · 4 comments
Closed

[Feature request] Volumetric Detection Ops #1205

mibaumgartner opened this issue Nov 9, 2020 · 4 comments
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Contribution wanted Feature request Module: networks network, layers, blocks definitions in PyTorch Module: transform data transforms for preprocessing and postprocessing.

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@mibaumgartner
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mibaumgartner commented Nov 9, 2020

Is your feature request related to a problem? Please describe.
Add support for volumetric detection ops (NMS and RoiAlign) in Monai.
Especially desired formats of the input and the boxes need to be discussed.

The research working group earlier decided to create a Pull Request in torchvision but it would probably better fit in the Monai repo because it is specifically designed for volumetric/medical data.

pytorch/vision#2402

The Issue is already linked to a PR with an early prototype which needs some rework (CPU implementation, Tests)
Also related to #292 which depends on the box format.

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@pfjaeger @wyli

@wyli wyli added Contribution wanted Module: transform data transforms for preprocessing and postprocessing. Module: networks network, layers, blocks definitions in PyTorch labels May 13, 2021
@dominikj2
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Hi @mibaumgartner,
Did you manage to find a volumetric RoIAlign op that is open source?

@mibaumgartner
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Hi @dominikj2 ,

there are some implementations out there (MDT, medvision, torchvision PR for the Issue linked above) but (AFAIK) none of them were completely validated for their performance.

Best,
Michael

@dominikj2
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dominikj2 commented Aug 16, 2021

Hi @mibaumgartner,

Great start. Thanks for the lead. I will investigate and respond here with useful insight.

Cheers,
Dom

@vikashg
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vikashg commented Jan 5, 2024

closing because of inactivity

@vikashg vikashg closed this as completed Jan 5, 2024
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Contribution wanted Feature request Module: networks network, layers, blocks definitions in PyTorch Module: transform data transforms for preprocessing and postprocessing.
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