Fast Segment Anything

Python library for YOLO small object detection and instance segmentation

YOLO SHOW - YOLOv11 / YOLOv10 / YOLOv9 / YOLOv8 / YOLOv7 / YOLOv5 / RTDETR / SAM / MobileSAM / FastSAM YOLO GUI based on Pyside6

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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 "

Use this project to automatically annotate your dataset for free in CVAT

SSA + FastSAM/Semantic Fast Segment Anything , or Fast Semantic Segment Anything

Code for "FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images"

[IGARSS 2024] Segment Change Model (SCM) for Unsupervised Change detection in VHR Remote Sensing Images: a Case Study of Buildings

"FastSAM_Awsome_Openvino" 项目展示了如何通过 OpenVINO 框架高效部署 FastSAM 模型，实现了令人瞩目的实例分割功能。该项目提供了 C++ 版本和 Python 版本两种实现，为开发者提供了在不同语言环境下使用 FastSAM 模型的选择。

FastSAM 部署版本，便于移植不同平，部署简单、运行速度快。

TensorRT-FastSAM(https://github.com/CASIA-IVA-Lab/FastSAM)

A 3D Slicer extension for FastSAM3D

FastSAM TouchDesigner Plugin – A TouchDesigner .tox plugin for real-time segmentation using FastSAM

ROS wrapper for FastSAM, with docker

Framework for Automated Security Testing that is Scaleable and Asynchronous built on Microservices

Ridiculously fast random subset sampling

FastSAM 部署rknn C++ 代码

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Android project that is using FastSAM model for segment anything with live camera feed and gallery images.

Segment Anything with Webcam in Real-Time with FastSAM

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Track Anything Annotate is a flexible tool for video annotation and dataset creation. Based on the SAM2 + XMem++ models. To select and track objects.

Fastsam inference based on C++ TensorRT

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.

FastSAM module for use with Autodistill.

A toolbox enables convert, quantize, and inference of models in different formats of FastSAM.

Combination of FastSAM as region proposal and ViT as classification for object detection

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ROS wrapper for FastSAM