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---
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license: apache-2.0
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title: UVIS
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sdk: gradio
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emoji: 🔥
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colorFrom: blue
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colorTo: indigo
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pinned: true
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thumbnail: >-
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https://cdn-uploads.huggingface.co/production/uploads/6820d348853cd8d544c6b014/qapEjDg69wwVgeqCXWTiX.png
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short_description: Unified Visual Intelligence System
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---
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# UVIS - Unified Visual Intelligence System
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### A Lightweight Web-Based Visual Perception Demo
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> **Try it online**: [uvis.deecoded.io](https://uvis.deecoded.io)
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> **GitHub**: [github.com/DurgaDeepakValluri/UVIS](https://github.com/DurgaDeepakValluri/UVIS)
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---
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## Overview
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**UVIS** (Unified Visual Intelligence System) is a **lightweight, web-based visual perception demo**, originally conceptualized as a **spin-off while building Percepta**—a larger modular perception framework.
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The goal of UVIS is to make **scene understanding tools more accessible**, allowing anyone to try object detection, semantic segmentation, and depth estimation through a clean web interface, without requiring local setup.
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UVIS currently runs on **[Render.com](https://www.render.com)'s Free Tier**, using **lightweight models** to ensure the experience remains stable on limited resources.
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---
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## Key Features
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| Capability | Description |
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| ---------------------------- | ----------------------------------------------------------------------------------- |
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| 🟢 **Object Detection** | YOLOv5-Nano & YOLOv5-Small for fast, low-resource detection. |
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| 🟢 **Semantic Segmentation** | SegFormer-B0 and DeepLabV3-ResNet50 for general-purpose scenes. |
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| 🟢 **Depth Estimation** | MiDaS Small & DPT Lite for per-pixel depth estimation. |
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| 🖼️ **Scene Blueprint** | Unified overlay combining all selected tasks. |
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| 📊 **Scene Metrics** | Scene complexity scoring and agent-friendly summaries. |
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| 📦 **Downloadable Results** | JSON, overlay images, and ZIP bundles. |
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| 🌐 **Web-First Design** | No installation needed—hosted live at [uvis.deecoded.io](https://uvis.deecoded.io). |
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| 🛠️ **Open Source** | Contribution-friendly, easy to extend and improve. |
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---
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### Current Limitations & Roadmap
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UVIS is designed for **lightweight demos** on **free-tier hosting**, which means:
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* Models are optimized for speed and minimal compute.
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* Only **image input** is supported at this time.
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> As the project grows and higher hosting tiers become available, the roadmap includes:
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>
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> * **Video input support**
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> * **Lightweight SLAM**
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> * **Natural language scene descriptions**
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> * **Higher-capacity, more accurate models**
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---
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## Architecture Highlights
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* **Modular Python Backend with Model Registry**
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* **Streamlit-Based Interactive Web UI**
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* **HuggingFace Transformers & TorchVision Integration**
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* **Lightweight Model Support (Render-Compatible)**
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* **Structured JSON Output for AI Agents**
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* **Robust Error Handling and Logging**
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---
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## 🤝 Contributing
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UVIS is **open-source** and welcomes contributions.
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You can:
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* Suggest new features
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* Improve the web interface
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* Extend perception tasks
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* Report issues or bugs
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### 💻 **Clone and Run Locally**
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```bash
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git clone https://github.com/DurgaDeepakValluri/UVIS.git
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cd UVIS
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pip install -r requirements.txt
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```
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---
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## 🌐 Live Demo
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> **Explore it online at [uvis.deecoded.io](https://uvis.deecoded.io)**
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> Upload an image, select your tasks, and view the results—all in your browser.
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---
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## 📝 License
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Apache 2.0 License. Free for personal and commercial use with attribution.
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© 2025 Durga Deepak Valluri
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