A specialized node for ComfyUI that enables the comparison of two images through deep learning techniques, specifically using ResNet embeddings and cosine similarity. This tool provides a boolean output indicating whether the images are similar based on a user-defined threshold, along with a quantitative similarity score.
- Supports various ResNet architectures, allowing flexibility in image feature extraction.
- Offers a configurable similarity threshold to customize the sensitivity of similarity detection.
- Provides both a boolean similarity result and a cosine similarity score, enhancing the analysis of image relationships.
Context
This tool is designed to integrate seamlessly into ComfyUI, serving the purpose of evaluating the visual similarity between two images. By leveraging advanced deep learning models, it enhances the capabilities of ComfyUI for users who require precise image comparison functionalities.
Key Features & Benefits
The node supports multiple ResNet architectures, including ResNet18, ResNet34, ResNet50, ResNet101, and ResNet152, allowing users to choose the most suitable model for their specific needs. Additionally, it features a configurable similarity threshold, which enables users to adjust the sensitivity of the comparison, making it adaptable to different scenarios. The output includes both a boolean indicator of similarity and a cosine similarity score, providing a comprehensive understanding of how closely two images match.
Advanced Functionalities
The tool employs deep learning by utilizing pre-trained ResNet models to extract feature embeddings from the input images. It calculates the cosine similarity between these embeddings, which is a mathematical measure of similarity based on the angle between two vectors in a multi-dimensional space. This approach ensures a robust analysis of image similarity beyond simple pixel comparisons.
Practical Benefits
By incorporating this node into their workflows, users can significantly enhance their image analysis capabilities within ComfyUI. It streamlines the process of determining image similarity, allowing for greater control over image comparisons and improving the overall efficiency of tasks that require visual assessments. This tool is particularly useful in applications such as quality control, content verification, and artistic comparisons.
Credits/Acknowledgments
This project was developed by Norman Gosset and is licensed under the MIT License, allowing for free use and modification within the bounds of the provided terms.