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| license: apache-2.0 | |
| title: UVIS | |
| sdk: gradio | |
| emoji: 🔥 | |
| colorFrom: blue | |
| colorTo: indigo | |
| pinned: true | |
| thumbnail: >- | |
| https://cdn-uploads.huggingface.co/production/uploads/6820d348853cd8d544c6b014/qapEjDg69wwVgeqCXWTiX.png | |
| short_description: Unified Visual Intelligence System | |
| allow_embedding: true | |
| # UVIS - Unified Visual Intelligence System | |
| ### A Lightweight Web-Based Visual Perception Demo | |
| > **Try it online**: [uvis.deecoded.io](https://uvis.deecoded.io) | |
| > **GitHub**: [github.com/DurgaDeepakValluri/UVIS](https://github.com/DurgaDeepakValluri/UVIS) | |
| --- | |
| ## Overview | |
| **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. | |
| 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. | |
| 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. | |
| --- | |
| ## Key Features | |
| | Capability | Description | | |
| | ---------------------------- | ----------------------------------------------------------------------------------- | | |
| | 🟢 **Object Detection** | YOLOv5-Nano & YOLOv5-Small for fast, low-resource detection. | | |
| | 🟢 **Semantic Segmentation** | SegFormer-B0 and DeepLabV3-ResNet50 for general-purpose scenes. | | |
| | 🟢 **Depth Estimation** | MiDaS Small & DPT Lite for per-pixel depth estimation. | | |
| | 🖼️ **Scene Blueprint** | Unified overlay combining all selected tasks. | | |
| | 📊 **Scene Metrics** | Scene complexity scoring and agent-friendly summaries. | | |
| | 📦 **Downloadable Results** | JSON, overlay images, and ZIP bundles. | | |
| | 🌐 **Web-First Design** | No installation needed—hosted live at [uvis.deecoded.io](https://uvis.deecoded.io). | | |
| | 🛠️ **Open Source** | Contribution-friendly, easy to extend and improve. | | |
| --- | |
| ### Current Limitations & Roadmap | |
| UVIS is designed for **lightweight demos** on **free-tier hosting**, which means: | |
| * Models are optimized for speed and minimal compute. | |
| * Only **image input** is supported at this time. | |
| > As the project grows and higher hosting tiers become available, the roadmap includes: | |
| > | |
| > * **Video input support** | |
| > * **Lightweight SLAM** | |
| > * **Natural language scene descriptions** | |
| > * **Higher-capacity, more accurate models** | |
| --- | |
| ## Architecture Highlights | |
| * **Modular Python Backend with Model Registry** | |
| * **Streamlit-Based Interactive Web UI** | |
| * **HuggingFace Transformers & TorchVision Integration** | |
| * **Lightweight Model Support (Render-Compatible)** | |
| * **Structured JSON Output for AI Agents** | |
| * **Robust Error Handling and Logging** | |
| --- | |
| ## 🤝 Contributing | |
| UVIS is **open-source** and welcomes contributions. | |
| You can: | |
| * Suggest new features | |
| * Improve the web interface | |
| * Extend perception tasks | |
| * Report issues or bugs | |
| ### 💻 **Clone and Run Locally** | |
| ```bash | |
| git clone https://github.com/DurgaDeepakValluri/UVIS.git | |
| cd UVIS | |
| pip install -r requirements.txt | |
| ``` | |
| --- | |
| ## 🌐 Live Demo | |
| > **Explore it online at [uvis.deecoded.io](https://uvis.deecoded.io)** | |
| > Upload an image, select your tasks, and view the results—all in your browser. | |
| --- | |
| ## 📝 License | |
| Apache 2.0 License. Free for personal and commercial use with attribution. | |
| © 2025 Durga Deepak Valluri |