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Here is a possible solution using a .yaml file as a training parameter.
https://github.com/orgs/ultralytics/discussions/1950
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![image](https://github.com/huxiao09/QPA/assets/49807276/e5895ca5-104b-4196-a884-7c5bcf880a91)
I'm interested in understanding the rationale behind not incorporating data augmentation techniques in…
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Description:
Create a Python script to generate synthetic images of Tibetan text using specified font files. The script should read text from input files, render each line of Tibetan text using select…
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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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How to print or get the number of generated images after each epoch. Because it is interesting how bigger dataset become after augmentation.
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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…
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### Describe the bug
/.conda/lib/python3.10/site-packages/kornia/augmentation/_2d/mix/base.py", line 124, in apply_non_transform_mask
raise NotImplementedError
NotImplementedError
### Repr…
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@Taejas can you please add those points about getting errors? Like zoom in or zoom out?
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What kind of image augmentation did you use for the model that was trained on the Arabidopsis seedlings?
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### Feature description
Similar to Pytorch's vision utility, it'd be great if burn provides with interface and a few useful image augmentation utilities, such as random image rotation.
### Featu…