Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
InternGPT (iGPT) is an open source demo platform where you can easily showcase your AI models. Now it supports DragGAN, ChatGPT, ImageBind, multimodal chat like GPT-4, SAM, interactive image editing, etc. Try it at igpt.opengvlab.com (支持DragGAN、ChatGPT、ImageBind、SAM的在线Demo系统)
Segment Anything for Stable Diffusion WebUI
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
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.
General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX
Caption-Anything is a versatile tool combining image segmentation, visual captioning, and ChatGPT, generating tailored captions with diverse controls for user preferences.
Segment-Anything + 3D. Let's lift anything to 3D.
Effortless AI-assisted data labeling with AI support from Segment Anything and YOLO!
MetaSeg: Packaged version of the Segment Anything repository
Tracking and collecting papers/projects/others related to Segment Anything.
We extend Segment Anything to 3D perception by combining it with VoxelNeXt.
Segment Anything in 3D with NeRFs
Interactive semi-automatic image segmentation annotation tool.（交互式半自动图像分割标注工具）
Combining MMOCR with Segment Anything & Stable Diffusion. Automatically detect, recognize and segment text instances, with serval downstream tasks, e.g., Text Removal and Text Inpainting
Segment-anything related awesome extensions/projects/repos.
This is an implementation of zero-shot instance segmentation using Segment Anything.
CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks
The implementation of the technical report: "Customized Segment Anything Model for Medical Image Segmentation"
Fine-tuning SAMs for class-aware computer vision tasks in specific scenarios
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