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## Suggested Improvement
Looking at the current code, to draw random samples augmentation objects are using the global random state in the `random` module. This is ideal for maximally random pipeli…
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In the TF docs from 2.9 on, `tf.keras.preprocessing` has a deprecation warning:
https://www.tensorflow.org/versions/r2.10/api_docs/python/tf/keras/preprocessing
This will impact the make_data scr…
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In OPSO version : 0.10.2 it seems that designing a custom preprocessing/augmentation pipeline requires either to:
- Create a `SpectrogramPreprocessor `object then change the pipeline actions manual…
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### Describe the question.
**I have tested with DALI 1.38 and DALI 1.39 on CUDA 12.2**
I am trying to specify configurations for various augmentation operations in a hydra configuration file a…
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In the pipeline, augmentation such as flip, rotation changes input image.
but these augmentations are not currently being applied to the occupancy GT.
Isn't it logically right to stop applying that …
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- Create a python file that contains several functions for processing the raw images
- processing: rescaling, deleting white lower bar, converting color (black & white to RGB and vice versa)
- look …
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I recently had a brainstorm for a TC39 proposal, and if it's not too much trouble I'd like to know if the Pipeline champions think, as I do, that it could be a vehicle for eventually getting the pipel…
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Currently the code contains several presets for the "MakeCutouts" class and augmentation pipeline. We should consider removing some of them and settling on a single preset.
From my personal experie…
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# Responsible for creating data augmentations
- Single Augmentations -> flip, crop, mirror, etc...
- Transform Pipeline -> create pipeline composed of single augmentations
- Pre-defined Pipelines -…
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### 🚀 The feature
Randomly sample augmentation parameters for each image in the batch
### Motivation, pitch
Torch augmentations have two big advantages over alternatives like Albumentations: abilit…