chinmaynehate / DFSpot-Deepfake-Recognition

Determine whether a given video sequence has been manipulated or synthetically generated
https://colab.research.google.com/drive/1s0e0OO_Xcyw7S81s8GydTDtTQXJvJPpL?usp=sharing
MIT License
94 stars 19 forks source link

Bump albumentations from 0.4.6 to 1.1.0 #1

Closed dependabot[bot] closed 2 years ago

dependabot[bot] commented 2 years ago

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Bumps albumentations from 0.4.6 to 1.1.0.

Release notes

Sourced from albumentations's releases.

1.1.0

133947365-6cba891b-4537-4d97-8b84-5ac9ce908d1d

New augmentations

  • TemplateTransform. This transform allows the blending of an input image with specified templates. (#572 by @​akarsakov )
  • PixelDistributionAdaptation. A new domain adaptation augmentation. It fits a simple transform on both the original and reference image, transforms the original image with transform trained on this image, and performs inverse transformation using transform fitted on the reference image. See the examples of this transform in the qudida repository. (#959 by @​arsenyinfo)

Minor changes:

Bugfixes

1.0.3

  • Fixed problem with incorrect shape at keypoints and bboxes processors after ToTensorV2 #963
  • Fixed problems with float values in YOLO format in edge cases #958

1.0.2

  1. Fixed YOLO format conversion problem when bbox greater than image by 1 pixel. Now YOLO bbox will be converted to Albumentations format without bbox denormalization. More info in PR: #924
  2. Removed redundant search of first & last dual transform #946

1.0.1

Added position argument to PadIfNeeded (#933 by @​yisaienkov)

Possible values: center top_left, top_right, bottom_left, bottom_right, with center being the default value.

One possible use case for this feature is object detection where you need to pad an image to square, but you want predicted bounding boxes being equal to the bounding box of the unpadded image.

image_padding_2 image source

1.0.0

Breaking changes

  • imgaug dependency is now optional, and by default, Albumentations won't install it. This change was necessary to prevent simultaneous install of both opencv-python-headless and opencv-python (you can read more about the problem in this issue). If you still need imgaug as a dependency, you can use the pip install -U albumentations[imgaug] command to install Albumentations with imgaug.
  • Deprecated augmentation ToTensor that converts NumPy arrays to PyTorch tensors is completely removed from Albumentations. You will get a RuntimeError exception if you try to use it. Please switch to ToTensorV2 in your pipelines.

New augmentations

... (truncated)

Commits


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