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albumentations

albumentations-team / albumentations

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Ensure input image for A.Compose is continuous

1
BloodAxe
BloodAxe commented Oct 6, 2021

Enhancement

A discussion in #614 revealed a good place for improvement - we should ensure that input image is continuous upon start of the augmentation pipeline. This could be implemented by adding image = np.ascontiguousarray(image) to image and mask targets.

A proposed place to add this call - somewhere at the beginning of A.Compose.__call__.

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good first issue
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PaddlePaddle / PaddleSeg

Star 4.8k

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

transformer image-segmentation autonomous-driving lane-detection semantic-segmentation video-segmentation image-matting medical-image-segmentation interactive-segmentation panoptic-segmentation human-segmentation
  • Updated May 17, 2022
  • Python

open-mmlab / mmsegmentation

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Roadmap of MMSegmentation

40
hellock
hellock commented Jul 13, 2020

We keep this issue open to collect feature requests from users and hear your voice. Our monthly release plan is also available here.

You can either:

  1. Suggest a new feature by leaving a comment.
  2. Vote for a feature request with 👍 or be against with 👎. (Remember that developers are busy and cannot respond to all feature requests, so vote for your most favorable one!)
  3. Tell us that you wo
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good first issue help wanted

UniversalDataTool / universal-data-tool

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[feature] Add way to modify sample id preview

davebulaval
davebulaval commented Nov 6, 2020

Add a way to change the sample id output in the annotation process to a specific number (see picture).

image

Reason: I want to annotate large text and the app don't like it when the documents to annotate are too large, so I spitted in a sentence the document but I would like to be able to

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enhancement good first issue
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xiaoyufenfei / Efficient-Segmentation-Networks

Star 706

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

computer-vision pytorch neural-networks segmentation image-segmentation semantic-segmentation cityscapes scene-understanding semantic-segmentation-models camvid real-time-semantic-segmentation efficient-segmentation-networks lightweight-semantic-segmentation driving-scene-understanding
  • Updated May 10, 2020
  • Python

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