Jupyter Notebook segment-anything

Open-source Jupyter Notebook projects categorized as segment-anything

Jupyter Notebook segment-anything Projects

  • 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.

  • EdgeSAM

    Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"

  • Project mention: EdgeSAM: Prompt-in-the-Loop Distillation for On-Device Deployment of Sam | news.ycombinator.com | 2023-12-12

    Not 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

  • 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.

    InfluxDB logo
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).

Jupyter Notebook segment-anything related posts

  • How hard is it to "code" a tool based on segment-anything and Stable diffusion ?

    3 projects | /r/StableDiffusion | 13 Jul 2023
  • Can I use Interrogate CLIP or something similar to get image position data?

    2 projects | /r/StableDiffusion | 23 Jun 2023
  • Track-Anything: a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything and XMem.

    2 projects | /r/StableDiffusion | 25 Apr 2023
  • Segment Anything with Object Tracking in Video

    1 project | news.ycombinator.com | 19 Apr 2023

Index

Project Stars
1 Segment-and-Track-Anything 2,485
2 EdgeSAM 695

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