OneFormer VS PaddleSeg

Compare OneFormer vs PaddleSeg and see what are their differences.

PaddleSeg

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. (by PaddlePaddle)
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OneFormer PaddleSeg
1 17
1,342 8,284
2.2% 1.4%
3.4 7.4
7 months ago 23 days ago
Jupyter Notebook Python
MIT License Apache License 2.0
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.

OneFormer

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

PaddleSeg

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

What are some alternatives?

When comparing OneFormer and PaddleSeg you can also consider the following projects:

rankseg - [JMLR 2023] RankSEG: A consistent ranking-based framework for segmentation

mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Vision-Project-Image-Segmentation

Ultra-Fast-Lane-Detection - Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

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

segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.

YOLOP - You Only Look Once for Panopitic Driving Perception.(MIR2022)

HFT - [ICRA 2023] Official Pytorch implementation for HFT