Human-Segmentation-PyTorch VS pytorch-segmentation

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

Human-Segmentation-PyTorch

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch (by thuyngch)

pytorch-segmentation

:art: Semantic segmentation models, datasets and losses implemented in PyTorch. (by yassouali)
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Human-Segmentation-PyTorch pytorch-segmentation
1 1
533 1,567
- -
0.0 6.7
over 1 year ago about 1 month ago
Jupyter Notebook Jupyter Notebook
- MIT License
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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.

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

What are some alternatives?

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

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

unet - unet for image segmentation

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

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

STEGO - Unsupervised Semantic Segmentation by Distilling Feature Correspondences

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.

Vision-Project-Image-Segmentation

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

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