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I try to implement the mosaic and mixup augmentation in your code, but I confused because the dataset is wrapped around the SemiDataset wrapper and the mosaic or mixup augmentation need the dataset to…
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### What is the feature?
I'm working on a project that requires me to try many combinations of models, datasets, tasks and augmentation pipelines. You can do this pretty well without manually definin…
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I work with samples which are tuples of sets: a set of images and a set of masks form a single "row" of my dataset.
I want to apply augmentations that work on both images and masks with the same pa…
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Greetings from the Mehta Lab and apologies in advance for the long post!
I am attempting to use gunpowder as a dataloader for (float32) data in the ome-zarr format. I have run into a few issues try…
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Currently, there are many data modules:
- data_utils.py: a set of utilities for numpy (to_categorical for labels, featurewise/samplewise transformations), for images (load_images, resize, etc...), for…
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**Proposed Algorithm:**
Get duration of the background file (bg_file) in seconds.
Sample a random value from the range [0, bg_file_seconds - event_file_seconds).
Read the background f…
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### Details
Proposed Solution: Utilize Sweep AI to identify and implement cost-effective improvements that offer high-value outcomes with minimal resource investment.
Sweep Configuration:
Metric…
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Automated Pipeline for Autoencoder Models on GitHub
1. Data Preprocessing Automation
What:
Implement a CI/CD workflow that automatically processes and augments datasets when new data is available. T…
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Data augmentation is a technique to increase the amount and diversity of data without actually collecting new data. This comes in handy when labelled data are not easy to come by, and can help increas…
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Hello, I'm very sorry to disturb you. I didn't see nnUNetTrainerLightMUNet being used in the code, it has always been nnUNetTrainer. Could you tell me where nnUNetTrainerLightMUNet is being used? Than…