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Stars and mentions · Last 30 days, Oct 8 – Nov 6
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Mentions
Build an Autonomous Multimodal Vision Agent in Python (Qwen2.5-VL + PyAutoGUI) [1080p Masterclass] Stop paying thousands of dollars every month for restricted cloud vision APIs! Build a 100% private, local Autonomous Multimodal Vision Agent on your own PC! In this complete step-by-step masterclass, learn how to build an institutional-grade, zero-cloud visual desktop agent powered by Qwen 2.5-VL (Vision-Language Model), DXcam GPU buffer capture, and PyAutoGUI sandboxed actuation. The agent inspects complex application UIs, detects interactive elements with sub-pixel bounding boxes, navigates web and native legacy desktop software, and executes multi-step workflows on total autopilot with zero cloud fees and zero privacy leaks! ⏱️ Chapters: 00:00 - Introduction: The Problem with Brittle Selectors & Cloud Vision APIs 00:48 - Chapter 1: The Local Vision-Language Architecture (Qwen 2.5-VL Loop) 01:52 - Chapter 2: High-Speed Screen Ingestion & Dynamic Patch Scaling 02:58 - Chapter 3: Visual Grounding & Sub-Pixel Bounding Box Detection 04:05 - Chapter 4: Autonomous OS Navigation & PyAutoGUI Safety Sandboxing 05:12 - Chapter 5: Multi-Modal Event Loops, Telemetry & Full Pipeline Export 📌 Open-Source Tools & Repos: • Qwen 2.5-VL Model: QwenLM/Qwen2.5-VL • PyAutoGUI: asweigart/pyautogui • vLLM Vision Engine: vllm-project/vllm • DXcam Fast Screen Capture: ra1nty/DXcam #AIVision #Qwen25 #VisionAgent #PyAutoGUI #Python #AutonomousAgents #ComputerVision #MachineLearning #DevOps #OpenSource