Track-Anything VS TaskMatrix

Compare Track-Anything vs TaskMatrix and see what are their differences.

Track-Anything

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI. (by gaomingqi)
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Track-Anything TaskMatrix
16 10
6,113 34,527
- 0.1%
8.1 7.3
3 months ago 4 months ago
Python Python
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Track-Anything

Posts with mentions or reviews of Track-Anything. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-11.

TaskMatrix

Posts with mentions or reviews of TaskMatrix. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-02.

What are some alternatives?

When comparing Track-Anything and TaskMatrix you can also consider the following projects:

stable-diffusion-webui - Stable Diffusion web UI

JARVIS - JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

segment-anything - The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

doctorgpt - DoctorGPT brings GPT into production for application log error diagnosing!

sam-clip - Use Grounding DINO, Segment Anything, and CLIP to label objects in images.

EditAnything - Edit anything in images powered by segment-anything, ControlNet, StableDiffusion, etc. (ACM MM)

XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

E2B - Secure cloud runtime for AI apps & AI agents. Fully open-source.

sd-webui-segment-anything - Segment Anything for Stable Diffusion WebUI

deepdoctection - A Repo For Document AI

supercharger - Supercharge Open-Source AI Models

Selefra - The open-source policy-as-code software that provides analysis for Multi-Cloud and SaaS environments, you can get insight with natural language (powered by OpenAI).