VigIDE - Integrated Development Environment for Embedded Devices

VigIDE is a powerful Visual Studio Code extension designed to streamline the development experience for the VisionG embedded device. It transforms VS Code into a complete remote IDE, integrating seamless file management, code execution, real-time status monitoring, and powerful visual debugging tools, all within your familiar environment.

✨ Features

VigIDE offers a comprehensive suite of tools tailored for embedded development:

• 🚀 One-Click Connectivity & Management

  • Connect to your remote device via SSH with a single click.
  • Provides default connection settings for a quick start, with support for custom credentials.
  • Automatically initializes the device upon connection, including time synchronization and rogue process cleanup.

• 🗂️ Remote File Explorer

  • Browse the remote device's filesystem directly in the VS Code sidebar.
  • Full CRUD functionality: create, rename, and delete files and folders.
  • Easily upload/download individual files or entire directories with a visual progress bar.
  • Sort your workspace by file name, modification date, or size.
  • File-type specific icons and color-coding for better readability.

• ✍️ Seamless Remote Editing

  • Open remote files in VS Code with a simple double-click.
  • Files are transparently downloaded to a local temporary cache for a native and fluid editing experience.
  • Sync on Save: Just press Ctrl+S, and your changes are instantly and automatically uploaded back to the device.

• 👁️ Real-Time Monitoring & Control

  • System Stats: View live CPU usage, memory usage, and core temperature of your device in the sidebar.
  • Video Stream: Toggle a real-time video stream from the device's camera, displayed in a dedicated panel that scales automatically with the window size.
  • Remote Terminal: Open a web-based terminal for direct command-line access to your device.

• 🎨 Powerful Visual Debugging Toolkit

  • Frame Capture & Threshold Tuner: While the video stream is active, capture the current frame with a single click.
  • An interactive debugger panel opens, allowing you to adjust LAB color space thresholds in real-time.
  • View the original image and the resulting binary mask side-by-side for easy comparison.
  • Click on the original image to auto-select a color and generate an initial threshold range.
  • Copy the final threshold parameters to your clipboard with one click, ready to be pasted into your computer vision code.

• ▶️ Remote Code Execution

  • Run the currently open Python script directly on the device by clicking the "Play" button in the editor's title bar.
  • Stop the running script at any time.
  • All script output (stdout and stderr) is streamed back to the VS Code "Output" panel in real-time.

🚀 Getting Started

1. Install: Search for and install VigIDE from the VS Code Marketplace.
2. Open VigIDE: Click the VigIDE icon in the VS Code Activity Bar on the left.
3. Connect to Device:
   • Click the "Connect" icon (🔌) at the top of the VigIDE sidebar.
   • The extension will first attempt to connect using default credentials (root@172.32.0.70).
   • If the default connection fails, you will be prompted to enter the device's IP address, username, and password.
4. Start Developing:
   • Once connected, the remote file explorer and system stats will be populated.
   • Right-click on files or directories in the explorer to access options like Download, Upload, Rename, Delete, etc.
   • Double-click a file to open and edit it.
   • Click the Toggle Video Stream item in the sidebar or the camera icon ($(device-camera)) in the status bar to start/stop the video feed.
   • While the video is active, click the Tune Threshold icon ($(color-mode)) in the status bar to capture a frame and open the tuner.

📋 Requirements

• Visual Studio Code v1.80.0 or newer.
• An SSH server running on the target remote device.
• (For video streaming) A camera installed on the device, and a script capable of pushing video frames via UDP to the host.

📄 License

This is a proprietary software, copyrighted by Salieri_x (Salierix).

Reproduction, modification, distribution, or commercial use in any form is strictly prohibited without permission. For detailed terms, please refer to the LICENSE.md file in the project root.