Top 13 Jupyter Notebook semantic-segmentation Projects
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super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
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.
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pytorch-segmentation
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
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
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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.
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Deep-Learning-In-Production
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
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Human-Segmentation-PyTorch
Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
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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.
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SegGradCAM
SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping
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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.
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 | |
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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 |