Jupyter Notebook semantic-segmentation

Open-source Jupyter Notebook projects categorized as semantic-segmentation

Top 13 Jupyter Notebook semantic-segmentation Projects

  • super-gradients

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

    Project mention: Zero-Shot Prediction Plugin for FiftyOne | dev.to | 2024-03-13

    Most computer vision models are trained to predict on a preset list of label classes. In object detection, for instance, many of the most popular models like YOLOv8 and YOLO-NAS are pretrained with the classes from the MS COCO dataset. If you download the weights checkpoints for these models and run prediction on your dataset, you will generate object detection bounding boxes for the 80 COCO classes.

  • pytorch-segmentation

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

    Project mention: Any luck training Segnet? | /r/learnmachinelearning | 2023-05-25

    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

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  • OneFormer

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

  • 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

  • Entity

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

  • Human-Segmentation-PyTorch

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

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • HugsVision

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

  • SegGradCAM

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

  • NoCodeSeg

    🔬 Code-free deep segmentation for computational pathology

  • rankseg

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

  • 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

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2024-03-13.

Jupyter Notebook semantic-segmentation related posts

Index

What are some of the best open-source semantic-segmentation projects in Jupyter Notebook? This list will help you:

Project Stars
1 super-gradients 4,275
2 pytorch-segmentation 1,549
3 OneFormer 1,313
4 Deep-Learning-In-Production 1,064
5 STEGO 683
6 Entity 648
7 Human-Segmentation-PyTorch 533
8 HugsVision 188
9 SegGradCAM 93
10 NoCodeSeg 44
11 rankseg 15
12 Subway-Station-Hazard-Detection 11
13 Vision-Project-Image-Segmentation 0
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