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Add backends and image visualization for transform `TileOnGrid`

See original GitHub issue

Is your feature request related to a problem? Please describe. Thanks for @myron 's contribution for the new transform TileOnGrid in PR: https://github.com/Project-MONAI/MONAI/pull/3237. I will try to add the visualization image and backend related logic when the PR merged.

Thanks.

Issue Analytics

  • State:open
  • Created 2 years ago
  • Comments:12 (11 by maintainers)

github_iconTop GitHub Comments

2reactions
SachidanandAllecommented, Nov 18, 2021

@diazandr3s @finalelement
can you check if we can support invert on deepgrow/deepedit transforms…

1reaction
drbehcommented, Apr 25, 2022

Hi @victorvicpal, thanks for expressing your interest in MONAI Pathology. That definitely is a useful feature and we have had related request before, like https://github.com/Project-MONAI/MONAI/issues/4090. We are having it on our development plan, and will update you once we have this feature.

Read more comments on GitHub >

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Including tiles coordinates in TileOnGrid transform · Issue #4090
Including tiles coordinates in TileOnGrid transform #4090 ... Add backends and image visualization for transform TileOnGrid #3336.
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Source code for monai.apps.pathology.transforms.spatial.array
Note: the shape of the input image is inferred based on the first image used. """ backend = [TransformBackends.TORCH, TransformBackends.NUMPY] def __init__( ...
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Applications — MONAI 1.0.0 Documentation
This transform assumes that the images have been cropped and resized. And the shape after cropped is store inside the meta dict of...
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Affine transform of an image — Matplotlib 3.0.3 documentation
For the backends that support draw_image with optional affine transform ... im.set_transform(trans_data) # display intended extent of the image x1, x2, y1, ...
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Visualizing Augmentations - Kaggle
The purpose of image augmentation is to create new training samples from the existing data. Type of augmentations: Pixel-level transforms: Pixel-level ...
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