I realized that knn.save() and knn.load() function is not implemented yet. I googled so much about that couldn't find any solution for that.
If there is a solution i will be happy to know that. Any help would be appreciated.
kNN does not save a model because there is no model to save. The model is the complete data. It classifies new samples by going through the raw data and verifying the k closest samples and using the classes as votes.
I agree that it shouldn't provide the method if it is redundant.
I use:
knn.save('knn.yml')
to save the model
And:
fs = cv2.FileStorage('knn.yml', cv2.FILE_STORAGE_READ)
knn_yml = fs.getNode('opencv_ml_knn')
knn_format = knn_yml.getNode('format').real()
is_classifier = knn_yml.getNode('is_classifier').real()
default_k = knn_yml.getNode('default_k').real()
samples = knn_yml.getNode('samples').mat()
responses = knn_yml.getNode('responses').mat()
fs.release
knn.train(samples,cv2.ml.ROW_SAMPLE,responses)
to recover it. I hope be of some help
Asked: 2012-08-08 07:15:58 -0600
Seen: 1,580 times
Last updated: Jun 10 '18
Can you clarify what
knn.save()andknn.load()are supposed to do? Is the idea to save and load a trained model that would be produced byCvKNearest::train()?