Is there a way to compute precision of a boosted cascade stages?

asked 2018-03-06 07:13:41 -0600

Jad gravatar image

updated 2018-08-29 08:31:13 -0600

So I have trained a boosted cascade using the Opencv utilities, I would like to evaluate the performance of each stage of the classifier. is there a way to access the results from individual stages or anything that could help achieving this?

edit retag flag offensive close merge delete


For now, the answer is quite straightforward, it is no. The internals make it quite hard to extract that information. I have been planning to do this for over a year and half now, but since then I kind of ran over to deep learning. What you could do, and what I have done, is make stage files manually (by deleting other stages), and then evaluatie those models 1 by 1. But it is quite cumbersome...

StevenPuttemans gravatar imageStevenPuttemans ( 2018-03-06 07:46:05 -0600 )edit

Thank you Steven for the clarification I didnt think about that at all! I will probably do it as i only need it for once. I have also tried to visualize the cascade model to see what are the most discriminant Haar features in each stage but am having a problem so I have raised a question on:

could you please help me answering it as well. Thank you in advance.

Jad gravatar imageJad ( 2018-03-06 15:48:51 -0600 )edit