Jupyter Notebook segment-anything Projects
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Segment-and-Track-Anything
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
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EdgeSAM
Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"
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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.
Project mention: EdgeSAM: Prompt-in-the-Loop Distillation for On-Device Deployment of Sam | news.ycombinator.com | 2023-12-12Not affiliated with the authors but find the topic interesting. They have a GitHub page with code and a short demo also:
https://github.com/chongzhou96/EdgeSAM
Jupyter Notebook segment-anything related posts
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How hard is it to "code" a tool based on segment-anything and Stable diffusion ?
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Can I use Interrogate CLIP or something similar to get image position data?
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Track-Anything: a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything and XMem.
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Segment Anything with Object Tracking in Video
Index
Project | Stars | |
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1 | Segment-and-Track-Anything | 2,485 |
2 | EdgeSAM | 695 |
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