System Overview
VisionEditCV is a sophisticated image editing suite that bridges modern AI segmentation with professional-grade filters. By integrating Meta's SAM3 model, it allows users to segment complex objects using simple text prompts or bounding boxes. The project features a custom-built dark theme UI in .NET 8 and handles heavy computational tasks through a distributed architecture, hosting the deep learning models on Lightning.ai with NVIDIA T4 GPUs to ensure real-time responsiveness.
Tech Stack
SAM3 Integration
Leveraged state-of-the-art zero-shot segmentation to allow editing of any object without preset categories.
Hybrid Architecture
Combined the robustness of C# .NET for the client with the power of Python/FastAPI for AI processing.
Advanced UI/UX
Designed a cohesive dark mode interface with custom controls, reducing eye strain and maximizing focus.
Project Demo
Engineering Features
Interactive object segmentation using SAM3 with text prompt or bounding box support.
Diverse effect suite including Sticker Generation, Artistic Stylization, and Portrait Bokeh.
Custom-programmed .NET 8 WinForms UI with a modernized, sleek dark aesthetic.
GPU-accelerated backend using FastAPI and Lightning.ai for high-speed inference.
Intelligent real-time preview system with dynamic downscaling for performance optimization.
Project Resources
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