Major Changes 🔥
* :factory: **Introducing `CloudGenerator()`** which encapsulates a specific configuration, and generation probabilities (`cloud_p` and `shadow_p`). It is compatible as PyTorch module (you can plug it into augmentation pipelines, like `torchvision` or `albumentations`)
python
my_gen=CloudGenerator(WIDE_CONFIG,cloud_p=1.0,shadow_p=0.5)
my_gen(my_image) will act just like add_cloud_and_shadow() but will preserve the same configuration!
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* :rainbow: **Channel-Specific Cloud Magnitude** allows for channels to have slightly different cloud strengths (since this strength is generally dependent on carrier wavelength) by setting channel_magnitude_shift` to a non-zero value:
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* :mask: **Segmentation Mask Functionality** allows you to call the `segmentation_mask(cloud_mask,shadow_mask)` method, which will return a segmentation mask for your generated clouds and shadows!
...you can even set a range `thin_range` to something like `(0.05,0.5)` to also differentiate between thin and thick clouds
and this is an example content of each label:
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I hope these features prove useful! :rocket: