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Eran Feit Blog posts

Build a Local SAM 2 & Nvidia Describe Anything Model Pipeline

Describe Anything-Use AI to Auto-Describe Any Video Object!

Building a local pipeline around the nvidia describe anything model solves a critical engineering problem for developers seeking to pair pixel-level object segmentation with advanced multimodal reasoning. Traditional computer vision setups struggle to bridge the gap between isolating an object and genuinely understanding its semantic details, often forcing teams to rely on cloud-hosted Multimodal Large […]

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Guide to the Best Free Open Source AI Video Generator | FramePack

FramePack - Turn Photos into AI Video For FREE!!

Imagine breaking free from restrictive cloud subscriptions, watermarks, and credit systems that limit your creative momentum. If you have been searching for a powerful, free open source AI video generator, this guide serves as your definitive roadmap to bypassing third-party restrictions entirely. As artificial intelligence changes the way we create media, a massive wave of

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Free AI Video Eraser: Remove Object From Video AI

DiffuEraser - Erase Video Objects for FREE with This New AI

If you want to remove object from video ai models and open-source tools have finally advanced to a point where you can achieve professional, production-grade results entirely on your own desktop. Traditionally, fixing ruined footage required either a steep learning curve in complex editing suites or a recurring monthly subscription to cloud-based AI platforms. This

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How to Run Free Open Source Lip Sync AI

Stop Paying for AI Dubbing Run LatentSync Locally

Stop paying exorbitant subscription fees and dealing with restrictive usage tiers for AI video dubbing services. This article provides a comprehensive, hands-on engineering walkthrough for configuring and running a cutting-edge, self-hosted alternative entirely on your own local workstation. By leveraging the advanced power of open-source artificial intelligence, you will learn how to take any video

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Run a Free Local AI Image Upscaler with Python & InvSR

Super-resolution via Diffusion Inversion

If you are looking for a completely free local ai image upscaler that lets you bypass expensive monthly subscriptions and data privacy concerns, you have come to the right place. This article provides a comprehensive, hands-on installation guide to setting up your own private, open-source super-resolution system directly on your desktop. We will be breaking

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AI Pokémon Card Scanner: From Image to Live Stats JSON

AI Pokémon Card Scanne

The Pokémon Card AI Scanner & Recognition API addresses a fundamental challenge within the vast Trading Card Game (TCG) ecosystem: the time-consuming and error-prone nature of manual cataloging. Identifying specific cards from diverse sets, varying conditions, and intricate artwork has long been a bottleneck for collectors, retailers, and app developers. This advanced API provides an

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How to Build a Poker Hand Scanner via Card Recognition API

Real time card detection

Complete Guide to Integrating the Computer Vision Playing Card Detection API Deploying a dedicated card recognition api allows developers to instantly embed advanced computer vision capabilities directly into production environments without managing underlying GPU clusters or machine learning dependencies. Building high-performance image recognition models manually requires immense computational power, months of data annotation, and fine-tuning

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How to Customize Bounding Boxes in Ultralytics YOLO

How to Use YOLO11 Text Annotations

The world of computer vision moves fast, and the release of YOLO11 has brought incredible speed and accuracy to real-time object detection. However, raw model predictions are only half the battle; how you visualize and communicate those predictions inside your application matters just as much. This article explores how to break away from generic, rigid

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How to Track and Filter Custom Classes with YOLO11 Object Counting

How to Track and Count Objects Using YOLO11

Computer vision is evolving rapidly, and the release of Ultralytics YOLO11 brings unprecedented speed and accuracy to real-time video analytics. This article provides a hands-on, production-ready guide to implementing a yolo11 object counting python workflow capable of detecting, tracking, and logging specific moving entities. By combining state-of-the-art deep learning models with practical frame-by-frame processing, we

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Eran Feit