RohanG9929/LoFTR-in-Tensorflow

Code for our re-implementation of "LoFTR: Detector-Free Local Feature Matching with Transformers"

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Experimental

This project helps computer vision practitioners find matching points between two images without needing a separate feature detection step. You input a pair of images, and it outputs a set of corresponding points, useful for tasks like 3D reconstruction or panorama stitching. Computer vision researchers or engineers working with image alignment would use this.

No commits in the last 6 months.

Use this if you need to identify precise correspondences between visual features in different images for tasks like image stitching or object recognition.

Not ideal if you require the absolute highest accuracy for feature matching, as this re-implementation needs further training to reach the performance of the original algorithm.

computer-vision image-matching 3d-reconstruction image-alignment robotics-vision
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 14 / 25

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Last pushed

Jul 24, 2023

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