Automatic segmentation of images is enhanced through this tool by utilizing bounding boxes generated by Florence 2 alongside segmentation capabilities from Segment Anything 2 (SAM2). It specifically targets improvements in accuracy for small or intricate objects by integrating context-aware techniques into the segmentation process.
- Provides context-based segmentation that focuses on cropped areas around bounding boxes to enhance detail recognition.
- Offers an alternative tiled segmentation approach, although less accurate, that segments images into smaller sections.
- Introduces the Base+ model, which balances efficiency and quality, often outperforming context-based methods without the added complexity.
Context
This tool serves as an extension for ComfyUI, enhancing automatic segmentation capabilities by leveraging advanced models like Florence 2 and SAM2. Its primary goal is to improve the accuracy of image segmentation, particularly for smaller objects that are often misidentified by existing models.
Key Features & Benefits
The tool features a context-based segmentation node that processes images by cropping around bounding boxes, allowing the SAM2 model to focus on specific objects. This method can significantly improve accuracy for small items in complex scenes. Additionally, the Base+ model provides a streamlined alternative that maintains high-quality segmentation while reducing computational demands.
Advanced Functionalities
The context-based segmentation approach crops images around target objects, allowing for more precise processing by the SAM2 model. The tool also includes a tiled segmentation method, which divides images into smaller sections for processing, though it lacks the contextual focus that enhances detail recognition.
Practical Benefits
By implementing this tool, users can achieve more accurate segmentation results, especially for fine details and small objects, thus improving overall workflow efficiency. It enables better control over segmentation quality and reduces the likelihood of misinterpretation in complex images, making it a valuable addition to the ComfyUI environment.
Credits/Acknowledgments
This tool acknowledges contributions from various open-source projects, including Florence 2, Segment Anything 2, and SAHI. It is developed within the framework of ComfyUI, with additional resources provided by contributors like Kijai.