Match Anything (ELOFTR)

This function block performs keypoint matching between two images and returns matched keypoints and confidence scores. It can optionally draw matches as a visualization image for quick inspection.

📥 Inputs

Image A The first image to be matched.

Image B The second image to be matched.

📤 Outputs

Visualization An annotated image showing matched keypoints and connecting lines (generated only when this output is connected).

Keypoints A List of keypoint coordinates detected in Image A.

Keypoints B List of keypoint coordinates detected in Image B.

Scores Matching confidence scores for each keypoint pair.

🕹️ Controls

Show Matches Toggle to draw lines between matched keypoints on the Visualization image.

Threshold Slider to set matching threshold (0–100). Higher values filter out lower-confidence matches.

🎯 Features

• Matches keypoints between two images and provides per-match confidence scores.

• Optional visual output that concatenates images and draws keypoints and matching lines.

• Threshold control lets you tune precision vs recall of matches.

• Uses available hardware (CPU or GPU) to run inference when supported.

📝 How it runs

• Provide two images to Image A and Image B.

• The block computes matching keypoints and scores between the images.

• If the Visualization output is connected, an annotated image showing keypoints and (optionally) connecting lines will be produced.

• Keypoints A, Keypoints B, and Scores return lists that can be consumed by downstream blocks.

💡 Tips and Tricks

• Use Image Resize before this block to bring both images to comparable sizes for more stable matching.

• If your source images are low resolution, try preprocessing with Super Resolution to improve keypoint quality.

• To inspect the output visually, connect Visualization to a Show Image block for a full-size viewer.

• Use Image ROI Select to focus matching on a region of interest and reduce spurious matches from irrelevant areas.

• Export matched keypoints and scores with Data to JSON or CSV Export for logging or further analysis.

• Combine with Image Logger to save visualizations automatically when matches meet a desired condition.

🛠️ Troubleshooting

• No matches found: try lowering the Threshold to allow more candidate matches, or crop the images with Image ROI Select to remove clutter.

• Too many poor matches: raise the Threshold to keep only higher-confidence matches.

• Visualization not generated: ensure the Visualization output socket is connected — the visual image is created only when requested.

• Missing dependencies or hardware acceleration: this block requires model runtime packages and will run on CPU; if GPU acceleration is expected but not used, check your system GPU availability and the environment where the application runs.