pytorch-segmentation VS Human-Segmentation-PyTorch

Compare pytorch-segmentation vs Human-Segmentation-PyTorch and see what are their differences.

pytorch-segmentation

:art: Semantic segmentation models, datasets and losses implemented in PyTorch. (by yassouali)

Human-Segmentation-PyTorch

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch (by thuyngch)
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pytorch-segmentation Human-Segmentation-PyTorch
1 1
1,571 533
- -
6.7 0.0
about 1 month ago over 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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pytorch-segmentation

Posts with mentions or reviews of pytorch-segmentation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-25.
  • Any luck training Segnet?
    2 projects | /r/learnmachinelearning | 25 May 2023
    So I have read the paper on segnet and understood its architechture, and how the corresponding model has been written on the segnet.py file. I have a dataset and segmentation masks (in PNG). I came across the code given in this repo: https://github.com/yassouali/pytorch-segmentation

Human-Segmentation-PyTorch

Posts with mentions or reviews of Human-Segmentation-PyTorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-30.

What are some alternatives?

When comparing pytorch-segmentation and Human-Segmentation-PyTorch you can also consider the following projects:

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

HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

unet - unet for image segmentation

STEGO - Unsupervised Semantic Segmentation by Distilling Feature Correspondences

Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

Subway-Station-Hazard-Detection - This project is part of the CS course 'Systems Engineering Meets Life Sciences II' at Goethe University Frankfurt. In this Computer Vision project, we developed a first prototype of a security system which uses the surveillance cameras at subway stations to recognize dangerous situations. The training data was artificially generated by a Unity-based simulation.

super-gradients - Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

Vision-Project-Image-Segmentation

JejuNet - Real-Time Video Segmentation on Mobile Devices with DeepLab V3+, MobileNet V2. Worked on the project in 🏝 Jeju island

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