Hi everyone, I used MOG2() to train/Learn 10 images and got the model. Use this model to detect current image in order to get foreground image. (When Training, Learning rate = 0.1; when Detecting, Learning rate = 0).
But I've discovered that it has different results (foreground images) in continuous 2 detection with the same MOG2 trained model. It has tiny difference between these 2 result images!!
But why ? I use the same MOG2 model to calculate it...
The 2 different results of the foreground image are displayed in the attached images. C:\fakepath\gmmfault.bmp (I am sure that the input image is the same when detecting) It looks like something wrong in the first 2 computation.
Greetings, Vio