用于YOLO小对象检测和实例分割的Python库
fastsam 开源项目推荐(24 个)
fastsam 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 24 个仓库Use this project to automatically annotate your dataset for free in CVAT
Official implementation of the paper " FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anything "
[IGARSS 2024] Segment Change Model (SCM) for Unsupervised Change detection in VHR Remote Sensing Images: a Case Study of Buildings
Segment Anything with Webcam in Real-Time with FastSAM
Track Anything Annotate is a flexible tool for video annotation and dataset creation. Based on the SAM2 + XMem++ models. To select and track objects.
Este proyecto presenta una solución de Computer Vision para la detección y clasificación de objetos en imágenes, las cuales son extraídas como frames de vídeos. Utiliza el modelo FastSAM para la detección de objetos, y para la clasificación, emplea embeddings que pueden ser generados mediante dos modelos distintos: CLIP o SigLIP.
Combination of FastSAM as region proposal and ViT as classification for object detection
A toolbox enables convert, quantize, and inference of models in different formats of FastSAM.
FastSAM module for use with Autodistill.
Semantic AI image editing canvas with local Codex CLI, SAM/FastSAM segmentation, and pluggable image APIs.
image editor with AI models written in C++, running on CPU
Segmentation based Computer Vision system for Bin Picking Robot Arm using SAM, Fast SAM models
Trabajo de Fin de Grado de Ingeniería Informática en la Universidad de Sevilla. Aplicación web usando FastSAM (modelo de segmentación de imágenes) y composición de fondos con OpenCV para "profesionalizar" fotografías de productos caseros para venta online o e-commerce.
FastSAM API is a Python-based application designed to provide a high-performance service for computational tasks such as image segmentation and classification. Built using FastAPI, it offers a lightweight and robust framework for building scalable APIs.
TextBehind is a free platform for creating images with text placed behind selected objects. Users can customize text and background colors, and the images can be used as wallpapers or social media posts. No registration is required, and users can easily download their creations.
该项目在 GitHub 上没有填写描述
Image segmentation using FastSAM and (negative and positive) prompts in PyTorch
Semi-automatic deep learning pipeline for nuclei detection, muscle fibre segmentation and quantitative biological index computation in fluorescence microscopy images (FSHD context).
Vision toolkit for AI agents — generate, analyze, and verify images. Local (Florence-2) + cloud (Gemini) vision with a see-verify loop for self-checking output.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/fastsam。
- 该话题在 GitHub 上共有 24 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 948 Star,覆盖 5 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。