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Introduce data readers that allow multispectral images to be used in training and prediction. There will be a possible issue with using pre-trained base models as has been done previously.
See:
ht…
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**Is your feature request related to a problem? Please describe.**
Users often find it cumbersome to navigate the website using the legacy navigation system, leading to a suboptimal user experience.
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## More Than Augmentation
In a longer vision, our augmentation module will be more focused on differentiability, with an aim of assisting both training and deployment. We can see there are more resea…
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## Information
The problem arises in chapter:
* [ ] Introduction
* [ ] Text Classification
* [ ] Transformer Anatomy
* [ ] Multilingual Named Entity Recognition
* [ ] Text Generation
* [ ] …
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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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I was trying to implement an augmentation with keyword arguments that are fetched from a dataframe. I can do this inside my torch dataset class easily but it would be better to implement this in the a…
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The current pipeline requires masks and images to be the same size for them to all work.
Although some transforms will work fine when there are size discrepancies, it is not uniform across all augmen…
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Passing a custom data loader in AtomAI models can be a useful feature. This would allow using e.g. Kornia data augmentation pipelines. It could look like this
```python3
segmodel = aoi.models.Segmen…
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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,
I was wondering if rotation and transformations are the only 2 types of augmentations that applied in your pipeline.
https://github.com/devnkong/FLAG/blob/7e48d9194d3a7f515335cc351a663d65e09c2…