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TLDR: `transform = Resize((299, 299)) + ToTensor()`
## Motivation
Consider the common use case of building an overall-common-but-differing-at-one-point transformation pipeline for train and test…
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### Checklist
- [X] I have searched for [similar issues](https://github.com/isl-org/Open3D-ML/issues).
- [X] I have tested with the [latest development wheel](http://www.open3d.org/docs/latest/gettin…
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As documented in https://github.com/seqeralabs/wave/pull/448, Wave cannot support SHA256 tags when augmenting an image, because the image itself is changing.
When someone attempts to do this, the f…
ewels updated
4 months ago
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Why does ptv3 need to do data augmentation such as random rotation during scannet segmentation test? I don't seem to see voting during the test.
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Hey,
## Background
We are heavly use with `imgaug` for augmentation image. We do it over custom `generator` . We built this custom generator to serve `keras` `fit_generator` function. For perform…
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Hi, love the project. I'm trying to run this on a custom dataset, and I can't see where the image is inserted into the diffusion process as described in equation 6 in the paper. I see the textual inve…
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Very seminal work and detailed code for step 3 in your whole pipeline. However, codes for feature extraction and imaging data preprocessing are missing. For example, there is no description about how …
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hi, suppose i want to add a specific augmentation to the dataset while training, where is the right place to do it?
i noticed that you have a function get_training_transforms in nnUNetTrainer.py and …
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Dear Ashwin Raju
Thank you for publically sharing the code of your wonderful research
I'm investigating your paper and code because I want to retry the DISSM segmentation experiments with my own…
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### Summary
Normalization and Augmentations are defined in the `on_after_batch_transfer()` function of the Datamodules to compute them on GPU like recommended from lightning. However, a downside of…