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- # UVIS - Unified Visual Intelligence System
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-
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- ### A Lightweight Web-Based Visual Perception Demo
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-
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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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- ---
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-
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- ## Overview
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-
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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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-
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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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-
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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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- ---
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-
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- ## Key Features
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-
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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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- ---
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-
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- ### Current Limitations & Roadmap
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-
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- UVIS is designed for **lightweight demos** on **free-tier hosting**, which means:
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-
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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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-
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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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- ---
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-
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- ## Architecture Highlights
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-
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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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- ---
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-
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- ## 🤝 Contributing
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-
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- UVIS is **open-source** and welcomes contributions.
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- You can:
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-
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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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-
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- ### 💻 **Clone and Run Locally**
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-
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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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- ---
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-
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- ## 🌐 Live Demo
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-
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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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- ---
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-
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- ## 📝 License
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-
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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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-
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+ # UVIS - Unified Visual Intelligence System
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+
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+ ### A Lightweight Web-Based Visual Perception Demo
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+
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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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+ ---
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+
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+ ## Overview
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+
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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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+
27
+ 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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+
29
+ 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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+ ---
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+
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+ ## Key Features
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+
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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. |
38
+ | 🟢 **Semantic Segmentation** | SegFormer-B0 and DeepLabV3-ResNet50 for general-purpose scenes. |
39
+ | 🟢 **Depth Estimation** | MiDaS Small & DPT Lite for per-pixel depth estimation. |
40
+ | 🖼️ **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. |
43
+ | 🌐 **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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+ ---
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+
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+ ### Current Limitations & Roadmap
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+
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+ UVIS is designed for **lightweight demos** on **free-tier hosting**, which means:
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+
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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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+
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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**
58
+ > * **Lightweight SLAM**
59
+ > * **Natural language scene descriptions**
60
+ > * **Higher-capacity, more accurate models**
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+
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+ ---
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+
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+ ## Architecture Highlights
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+
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+ * **Modular Python Backend with Model Registry**
67
+ * **Streamlit-Based Interactive Web UI**
68
+ * **HuggingFace Transformers & TorchVision Integration**
69
+ * **Lightweight Model Support (Render-Compatible)**
70
+ * **Structured JSON Output for AI Agents**
71
+ * **Robust Error Handling and Logging**
72
+
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+ ---
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+
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+ ## 🤝 Contributing
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+
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+ UVIS is **open-source** and welcomes contributions.
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+ You can:
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+
80
+ * Suggest new features
81
+ * Improve the web interface
82
+ * Extend perception tasks
83
+ * Report issues or bugs
84
+
85
+ ### 💻 **Clone and Run Locally**
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+
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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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+ ---
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+
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+ ## 🌐 Live Demo
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+
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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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+ ---
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+
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+ ## 📝 License
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+
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+ Apache 2.0 License. Free for personal and commercial use with attribution.
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+ © 2025 Durga Deepak Valluri