RAFTcorr
The first fully open-source RAFT-based DIC framework with physically realistic training-data generation, pre-trained weights, and a user-friendly GUI.
RAFTcorr is the first fully open-source RAFT-based Digital Image Correlation framework, bridging deep learning and experimental mechanics for dense displacement measurement.
Key Features:
- Physically realistic training-data generation pipeline
- Complete training scripts and pre-trained model weights
- User-friendly GUI that eliminates manual parameter tuning
- Sub-pixel accuracy across rigid-body translation, rotation, large deformation, and complex metamaterial geometries
Status: Under review
Demo Results
Aluminum Plate with Hole
Displacement field
Von Mises strain field
Cavitation Flow
Displacement field
Velocity magnitude & streamline
Foam Fracture
Displacement field during foam fracture