feat: Implement demo image processing pipeline

[sinterwong]

This commit introduces a demonstration pipeline scenario with four nodes: ImageReaderNode, InferenceNode, ResultSaverNode, and VisualizationNode.

The pipeline processes an image as follows:

1. ImageReaderNode: Reads an image from a specified path.
2. InferenceNode: Infers an object detection algorithm on the image, generating bounding box data.
3. ResultSaverNode: Prints the raw algorithmic results (bounding boxes) to the console.
4. VisualizationNode: Draws the detected bounding boxes on the original image and saves the result to a new file.

New data structures for image data and inference results have been added to ai_pipe::pipe_types.hpp. The new nodes are registered in ai_pipe::node_registrar.cpp.