Release v0.0.4

Overview

We are excited to announce the release of node-red-contrib-sscma version 0.0.4. This update brings essential bug fixes and feature enhancements, providing a more stable and feature-rich experience for users.

Key Changes

Bug Fixes

1. Model Node Initialization: Fixed an issue where the Model Node failed to initialize correctly, ensuring smooth setup and operation.

New Features

1. Preview Node:
   • Added support for displaying the object count, enabling real-time visualization of counted items or objects in your flows.
2. Save Node:
   • Added support for configuring a duration input, allowing users to specify how long data should be saved, providing greater control over data retention.

Installation

To upgrade to the latest version, run the following command:

npm install node-red-contrib-sscma@0.0.4

Example Use Case

With node-red-contrib-sscma version 0.0.4, you can build more dynamic and controlled AI flows:

[ Model Node (Fixed Init) ] → [ Preview Node (Count Display) ] → [ Save Node (Custom Duration) ]

This setup is ideal for applications requiring real-time object counting and configurable data retention, such as inventory management or surveillance.

Known Issues

• No new issues reported. Please continue to report any issues through the GitHub repository.

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This release focuses on improving reliability and adding flexibility to your AI workflows. More exciting features and improvements are on the way, so stay tuned!

Full Changelog: v0.0.3...v0.0.4

Release v0.0.3

Overview

We are excited to announce the release of node-red-contrib-sscma version 0.0.3. This update focuses on enhancing functionality and user experience by introducing new features and fixing existing issues.

Key Changes

Bug Fixes

1. Preview Node: Resolved an issue where the image dimensions were displayed incorrectly.
2. Typo Corrections: Corrected typos across all nodes to improve clarity and consistency.

New Features

1. Stream Node:
   • Added support for configuring username and password, providing more flexibility and security.
2. Model Node:
   • Introduced a counting feature to keep track of object instances.
   • Enabled local file uploads for easier integration of custom datasets.
   • Added a label tagging feature to enhance data annotation and model training.
3. Preview Node:
   • Added support for displaying labels.
   • Improved the display of classification models, providing more detailed information.

Installation

To upgrade to the latest version, run the following command:

npm install node-red-contrib-sscma@0.0.3

Example Use Case

With node-red-contrib-sscma version 0.0.3, you can now create more comprehensive and interactive AI flows:

[ Stream Node (with Auth) ] → [ Model Node (with Counting & Labels) ] → [ Preview Node (Enhanced Display) ]

This configuration allows for advanced applications such as secure streaming, real-time object counting, and detailed visual feedback.

Known Issues

• No new issues reported. Please continue to report any issues through the GitHub repository.

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This release introduces significant enhancements for more robust and user-friendly AI applications. Stay tuned for more updates and features in upcoming versions!

Full Changelog: v0.0.2...v0.0.3

Release v0.0.2

Overview

We are pleased to announce the release of node-red-contrib-sscma version 0.0.2. This update brings significant improvements to the project structure, making it more maintainable and scalable for future development. Additionally, this release introduces support for target tracking, allowing users to leverage AI models for real-time object tracking in their Node-RED flows.

Key Changes

• Optimized Project Structure: Refactored the codebase to improve organization and maintainability, ensuring smoother future updates and contributions.
• Target Tracking Support: Added new functionality for tracking objects within the AI models, enabling users to monitor and respond to moving targets or items of interest.
  • Easily integrate tracking into your AI flows for real-time monitoring and device interaction.

Installation

To upgrade to the latest version, run the following command:

npm install node-red-contrib-sscma@0.0.2

Example Use Case

Now, you can use node-red-contrib-sscma to create flows that track objects in real-time, sending alerts or triggering actions when certain targets are detected or follow specific movement patterns.

[ Camera Node ] → [ Model Node With Enabel Trace ] → [ Preview Node ]

This enables advanced use cases, such as automated surveillance, smart tracking systems, and more.

Known Issues

• No new issues reported. Please continue to report any issues through the GitHub repository.

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This release adds key functionality for more dynamic AI applications, with more improvements planned for future versions!

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Let me know if this works or if you'd like any changes!

Full Changelog: v0.0.1...v0.0.2

Release 0.0.1 - node-red-contrib-sscma

Overview

We are excited to announce the first release (v0.0.1) of node-red-contrib-sscma, a Node-RED node designed for quick AI model deployment and integration with devices through flow-based programming. This initial release focuses on core functionality, providing an easy-to-use interface for AI-driven automation within Node-RED.

Key Features

• AI Model Deployment: Simplifies the deployment of AI models by integrating them directly into Node-RED's flow editor.
• Device Interconnection: Allows the outputs of AI models to be easily connected to devices for real-time automation.
• Flexible Configuration: The nodes can be configured with various AI models and device interactions to fit multiple use cases.
• Flow-based Programming: Leverages Node-RED's visual programming environment for rapid development and deployment of AI solutions.

Installation

You can install node-red-contrib-sscma via npm:

npm install node-red-contrib-sscma

Known Issues

• No known issues at this time. Feel free to report any issues you encounter via GitHub.

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This release marks the starting point of node-red-contrib-sscma, with more features and improvements planned for future updates. Stay tuned for upcoming enhancements!

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Let me know if you need further adjustments!