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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/...

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

Mjd Al Mahasneh
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1 Answers1

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Im not sure if you have this fixed. I had the same error and I was able to get visualisation to run by re-running opencv_traincascade with -numStages turned down to the stage I wanted to visualise. I then used the cascade.xml file that was output.

Like I said i'm not sure if this will work for you however it did work for me.

Turtle

Paul Hashmi
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  • thanks for the response, i have left that implementation without visualising the features, however i will give your suggestion a go and see how it goes. Thank you very much. – Mjd Al Mahasneh Aug 24 '18 at 18:03