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Currently, we rely on tuples for our data flow, i.e. [this is what our datasets return](https://github.com/autrainer/autrainer/blob/d1ca7efbb2a42961ebf4313ef8546e8b1856678a/autrainer/datasets/utils/da…
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https://github.com/dobkeratops/convnet/blob/185780c299a90d4514e05dada6efb3e2a58dc0c9/pytorch/autoencoder.py#L185
Should this be a strict requirement? Dropout in the input image is used for image au…
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test time augmentation has the potential to improve model performance without any changes to the model parameters.
before implementing this, let's consider how best to implement it. i imagine the `…
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I've been dealing with images that varies a lot in pixel intensity. There are dark, medium and bright images. And there are images with low, medium and high contrast. To make my model deal with them, …
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Follow-up from https://dart-review.googlesource.com/c/sdk/+/363142 where @bwilkerson notes:
> hasImmutable doesn't appear to take into account any augmentations (metadata is cumulative).
>
> We p…
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_This is currently not on Flutter's roadmap, for reasons discussed in these comments: https://github.com/flutter/flutter/issues/14330#issuecomment-1279484739, https://github.com/flutter/flutter/issues…
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It would be great to be able to define augmentation using some kind of config file. I imagine YAML would for well. For example a config file could look like:
``` yaml
sequential:
fliplr:
…
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Hi Thomas Hugues,
many thanks for this pytorch version of KPConv.
Applying a trained model on new data with different point density using `test_model.py` recomputes the calibration if the `batch_l…
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I'm not entirely sure that the framing of this is quite right yet, but during a seminar this week @laserson suggested that we might consider including a section of the paper that is more "strategies t…