Retraining mis-labeled points


I labeled 22 points in some frames and do the training. When I use the trained results to analyze a new video, 20 of points work perfectly well and 2 of the points are wrong. To improve the accuracy of the two points, can I only label the two points in the new video to retrain the model? Or we have to label all the 22 points?


Deeplabcut has a build in function to do this. see here:

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Thanks. That solved my problem.