Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
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Updated
May 31, 2024 - Python
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
Segment Anything in High Quality [NeurIPS 2023]
Segment Anything for Stable Diffusion WebUI
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)
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!!
Images to inference with no labeling (use foundation models to train supervised models).
Caption-Anything is a versatile tool combining image segmentation, visual captioning, and ChatGPT, generating tailored captions with diverse controls for user preferences. https://huggingface.co/spaces/TencentARC/Caption-Anything https://huggingface.co/spaces/VIPLab/Caption-Anything
Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥
EfficientViT is a new family of vision models for efficient high-resolution vision.
Segment-Anything + 3D. Let's lift anything to 3D.
Labeling tool with SAM(segment anything model),supports SAM, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具
Inpaint Anything extension performs stable diffusion inpainting on a browser UI using masks from Segment Anything.
Effective prompting for Large Multimodal Models like GPT-4 Vision, LLaVA or CogVLM. 🔥
[CVPR2024 Highlight]GLEE: General Object Foundation Model for Images and Videos at Scale
MetaSeg: Packaged version of the Segment Anything repository
SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking.
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
Segment Anything in 3D with NeRFs (NeurIPS 2023)
SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.
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