I have trained a boosted cascade classifier with opencv and i want to visualize the cascade stages features as shown in the tutorial here: https://docs.opencv.org/3.3.0/dc/d88/tutorial_traincascade.html
The problem is that everytime i run the batch: opencv_visualisation --model=sunmodel.xml --image=sunn.bmp
where sunn.bmp is actually a positive sample from the training set, and i have also resized it to 24*24 as the defined dimension in the training process.
I get the following error: the model is not an haar or lbp feature based model! please select a model that can be visualised by the software
Although i am using Haar features in the training, I am also using the cascade parameter mode to be: -mode ALL
Any idea what is happening?
Many thanks in advance