Python library for YOLO small object detection and instance segmentation

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

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.

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

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.

Este proyecto utiliza FastSAM para llevar a cabo tareas de segmentación en imágenes.

Image segmentation using FastSAM and (negative and positive) prompts in PyTorch

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.