Hello! I performed SVM classification (2 classes) based on a) raw pixels and b) histograms and now would like to change pixels values of one class into black and other onto white and see the results ( I am not sure if simple dataset_name.show() will work out). As I am new to python and openCV I appreciate any help. Thanks
Well it depends what your SVM is outputting. If it is pure binary labels, then it is simply checking which values are returned by your model and replace the corresponding pixels with black or white value. If the class output is a range, between -1 and +1 for example, then you will need to threshold.
If I am correct, for SVM it is the second case. So basically if you have the classification results in a matrix, apply a threshold on the matrix, using the middle value (for example 0) as threshold on the resulting scores. This will result in a binary mask image, where white pixels present one class and black pixels the other.
Asked: 2017-05-31 02:23:40 -0600
Seen: 377 times
Last updated: May 31 '17
