README.md

metadata

title: Inference Studio | AI Vision Explorer
emoji: 🚀
colorFrom: blue
colorTo: purple
sdk: docker
app_port: 7860
pinned: false

🚀 Inference Studio | AI Vision Explorer

A premium, web-based interface for deploying and testing YOLO vision models with advanced controls for ROI (Region of Interest) filtering and confidence range analysis.

✨ Features

• Interactive ROI Drawing: Draw detection zones directly on a preview image or video frame.
• Confidence Range Filtering: Test model behavior by specifying both Min and Max confidence thresholds (e.g., visualize only low-confidence detections).
• Video Studio: Full support for video inference with automatic frame extraction for ROI setup and H.264 transcoding for web playback.
• Glassmorphism UI: Modern, dark-themed interface built for a premium developer experience.
• Model Management: Easily swap .pt models on the fly.

🛠️ Setup

Prerequisites

• Python 3.8+
• FFmpeg: Required for video processing.

  # Ubuntu/Debian
  sudo apt update && sudo apt install ffmpeg
  

Installation

1. Clone the repository:

   git clone https://github.com/your-repo/inference-studio.git
   cd inference-studio
   

2. Install dependencies:

   pip install -r requirements.txt
   

🚀 Running the Studio

Start the server using the provided shell script:

chmod +x start.sh
./start.sh

The studio will be available at http://localhost:8000.

📂 Project Structure

• main.py: FastAPI backend handling inference and video tasks.
• static/: Frontend assets (styles, interactive JS).
• templates/: HTML templates.
• uploads/: Directory structure for models, videos, and results (ignored by Git).

📝 License

MIT