it/models/mobile-sam/

[giscus[bot]]

it/models/mobile-sam/

Scoprite MobileSAM, un modello di segmentazione delle immagini leggero e veloce per applicazioni mobili. Confrontate le sue prestazioni con l'originale SAM ed esplorate le sue varie modalità.

https://docs.ultralytics.com/it/models/mobile-sam/

[UltralyticsAssistant]

👋 Hello, thank you for sharing your interest in the MobileSAM model 🚀! We encourage you to explore the MobileSAM Documentation further for insights and detailed guidance about this lightweight and fast image segmentation model, designed for mobile applications.

If this is a 🐛 Bug Report, please ensure you provide a minimum reproducible example (MRE) to help us debug and resolve any issues promptly.

If this is a ❓ Question or you’re comparing MobileSAM to the original SAM model, please include any performance metrics, configurations, or specific scenarios you’re analyzing, so we can better assist you. You might also find our Tips for Best Model Performance helpful as you work with different models and tasks.

Connect with the Ultralytics community to share your experience and learn from others. For real-time discussions, join us on Discord 🎧, explore topics on Discourse, or participate in active discussions on our Subreddit.

Upgrade

Before proceeding, ensure you're using the latest ultralytics package with all requirements installed. Install or update it in a Python>=3.8 environment with PyTorch>=1.8:

pip install -U ultralytics

Environments

You can run and test MobileSAM or any other YOLO model in the following verified environments (with all necessary dependencies preinstalled):

• Notebooks with free GPU:
• Google Cloud Deep Learning VM: Refer to the GCP Quickstart Guide
• Amazon Deep Learning AMI: Refer to the AWS Quickstart Guide
• Docker Image: Refer to the Docker Quickstart Guide

Status

If this badge is green, all Ultralytics CI tests are successfully passing. Our CI tests validate the performance and reliability of all YOLO Modes and Tasks across macOS, Windows, and Ubuntu environments.

This is an automated response 🤖, but don’t worry, an Ultralytics engineer will review your discussion and join in with further guidance soon. 🎉