I’ve seen this workaround in ThinPlateSplineShapeTransformer::wrapImage transformed X and Y values are located in the oposite side · Issue #7084 · opencv/opencv · GitHub and tried it.
If I switch source_points and target_points in tps_transformer.estimateTransformation(target_points, source_points, matches),
the result is even worse.
