STEGO VS rankseg

Compare STEGO vs rankseg and see what are their differences.

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STEGO rankseg
1 1
683 15
- -
0.0 4.6
about 1 year ago 8 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

STEGO

Posts with mentions or reviews of STEGO. We have used some of these posts to build our list of alternatives and similar projects.

rankseg

Posts with mentions or reviews of rankseg. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing STEGO and rankseg you can also consider the following projects:

SegGradCAM - SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping

notebooks - Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

pytorch-segmentation - :art: Semantic segmentation models, datasets and losses implemented in PyTorch.

cellpose - a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

Entity - EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

Vision-Project-Image-Segmentation

OneFormer - OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023

PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

18337 - 18.337 - Parallel Computing and Scientific Machine Learning

gpu-benches - collection of benchmarks to measure basic GPU capabilities