v1.3.1: Multi-Camera

🚀 v1.3.1: Multi-Camera Support and Resource Optimization
This major update introduces the highly anticipated multi-camera support, allowing the engine to simultaneously render and stream from multiple virtual cameras.

✨ Key Highlights
Multi-Camera Support: Simultaneously render and stream from multiple virtual cameras. Each camera can be independently configured and assigned its own MJPEG stream port.
Dynamic Port Assignment: Each additional camera is automatically assigned a unique port (starting from 5001), while the main dashboard remains accessible on port 5000.
Compressed Video Documentation: Added a new, optimized demonstration video (doc/video003_01.mp4) showcasing the latest features and multi-camera capabilities.
Updated Documentation and Assets: Replaced old images in the doc/ folder with new high-fidelity screenshots (image003_1.png, image003_2.png) and updated the README.md to reflect the new architecture.
Architecture Refinement: Improved the core orchestration in MultiCamSimApp to handle multiple rendering pipelines and stream instances efficiently.
Enhanced Web Dashboard: Updated the web interface to provide information and access points for all active camera streams.
🛠️ Multi-Camera Quick Start
Once running, the engine starts a local Flask server for each camera:

Web Dashboard: http://localhost:5000/
Camera 0 Stream: http://localhost:5001/cam
Camera 1 Stream: http://localhost:5002/cam
🌟 What's Next
Support for loading complex 3D models (OBJ, GLTF).
Interactive real-time controls for camera movement and FOV via the web dashboard.
Integration of advanced post-processing effects like lens distortion and noise.
Author: Sayed Ahmadreza Razian, PhD Developed for advanced imaging system simulation and computer vision research.

v1.2.1: Performance and Configuration Refinements

🚀 v1.2.1: Performance and Configuration Refinements

This update focuses on optimizing performance and enhancing configuration management within the Multi-Camera Simulation Engine.

✨ Key Highlights

• Optimized Default Resolution: Adjusted default rendering resolution to 720x480 for improved performance and reduced resource consumption, especially on less powerful hardware.
• Enhanced Configuration Versioning: Implemented versioning in settings.json and core/state.py for more robust configuration management and future compatibility.
• Updated User Interface: The web dashboard (web/templates/index.html) has been updated to reflect the current version (v1.2.1).
• New Screenshots and Documentation: Added updated screenshots and documentation to accurately reflect the changes and improvements in this release.
• Shader Updates: Minor updates to shaders for improved rendering stability and visual consistency.
• Debugged Image Naming: Implemented a new naming convention for debugged images, clearly indicating the render pass for easier identification and analysis.

🛠️ Updated Configuration Schema

The config/settings.json now includes the version field and reflects the new default resolution:

{
  "version": "1.2.1",
  "app": {
    "fps": 30,
    "width": 720,
    "height": 480
  },
  "scene": {
    "Ambient": 0.3,
    "Light": {
        "Position": [1.0, 2.0, 3.0],
        "Power": 1.0
    }
  }
}

🌟 What's Next

• Further performance optimizations.
• Expanded scene and camera control options.
• Integration of advanced post-processing effects.

---

Author: Sayed Ahmadreza Razian, PhD
Developed for advanced imaging system simulation and computer vision research.

v1.2.0: Update Configuration

🚀 v1.2.0: Dynamic Scene & Lighting Enhancements

A major update that brings interactive flexibility and visual refinement to the Multi-Camera Simulation Engine.

✨ Key Highlights

• Dynamic Configuration Reloading: Real-time updates to camera behavior, FPS, and scene parameters from settings.json without requiring a server restart.
• Enhanced Lighting System: Support for ambient, diffuse, and specular lighting with configurable parameters.
• On-Screen Display (OSD): Integrated frame counter and status indicators on the live MJPEG stream for easier monitoring.
• Improved Rendering Pipeline: Refined thread-safe offscreen rendering with better context management and error handling.
• Performance Optimizations: Faster frame generation and more efficient memory usage during long-duration simulations.

🛠️ Updated Configuration

The config/settings.json now supports versioning and expanded scene parameters:

{
  "version": "1.2.1",
  "app": {
    "fps": 30,
    "width": 720,
    "height": 480
  },
  "scene": {
    "Ambient": 0.3,
    "Light": {
        "Position": [1.0, 2.0, 3.0],
        "Power": 1.0
    }
  }
}

🌟 What's Next

• Experimental multi-camera support.
• Custom shader hooks for post-processing.
• Integrated web UI controls for live parameter adjustment.

---

Author: Sayed Ahmadreza Razian, PhD
Developed for advanced imaging system simulation and computer vision research.

v1.0.0: Initial Release

🚀 v1.0.0: Initial Release - Multi-Camera Simulation Engine

The first official release of the Multi-Camera Simulation Engine, establishing a high-performance foundation for virtual imaging system prototyping.

✨ Key Highlights

• Real-time 3D Rendering: OpenGL 3.3+ with Phong shading and procedural ground plane.
• Offscreen Streaming: Headless rendering via hidden GLFW windows and FBOs, optimized for thread-safe MJPEG streaming.
• MJPEG IP Camera Output: Real-time HTTP broadcasting mimicking a network-attached camera.
• Dynamic Configuration: Adjustable FOV, FPS, resolution, and camera behavior via settings.json.
• Modular Design: Clean separation between core, rendering, streaming, and web layers.

🛠️ Quick Start

pip install -r requirements.txt
python main.py

Access the dashboard at http://localhost:5000

🌟 Future Roadmap

• Simultaneous multi-camera support.
• OBJ/GLTF model loading.
• Advanced post-processing and interactive controls.

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Author: Sayed Ahmadreza Razian, PhD
Developed for advanced imaging system simulation and computer vision research.