Subway-Station-Hazard-Detection VS pytorch-segmentation

Compare Subway-Station-Hazard-Detection vs pytorch-segmentation and see what are their differences.

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. (by Psarpei)
Computer Vision Unity Pytorch Python C# Blender Simulation semantic-segmentation Machine Learning Deep Learning segnet Surveillance Deeplearning University
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pytorch-segmentation

:art: Semantic segmentation models, datasets and losses implemented in PyTorch. (by yassouali)
semantic-segmentation Computer Vision Deep Learning
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Subway-Station-Hazard-Detection pytorch-segmentation
4 1
11 1,565
- -
0.0 6.7
about 3 years ago 26 days ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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Subway-Station-Hazard-Detection

Posts with mentions or reviews of Subway-Station-Hazard-Detection. We have used some of these posts to build our list of alternatives and similar projects.

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 Subway-Station-Hazard-Detection and pytorch-segmentation you can also consider the following projects:

ml-course - Open Machine Learning course

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

3D-Public-Transport-Simulator - The 3D Public Transport Simulator is a Unity-based simulation, which uses OpenStreetMap data in order to support the simulation of worldwide locations. The development was part of a Bachelor thesis.

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

STEGO - Unsupervised Semantic Segmentation by Distilling Feature Correspondences

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

Subway-Station-Hazard-Detection vs ml-course pytorch-segmentation vs Human-Segmentation-PyTorch Subway-Station-Hazard-Detection vs 3D-Public-Transport-Simulator pytorch-segmentation vs PixelLib pytorch-segmentation vs HugsVision pytorch-segmentation vs STEGO pytorch-segmentation vs super-gradients