Redhwan Algabri You can get benefit from these two links:

https://towardsdatascience.com/visualizing-intermediate-activation-in-convolutional-neural-networks-with-keras-260b36d60d0

https://www.analyticsvidhya.com/blog/2019/05/understanding-visualizing-neural-networks/

Thank you so much for your help Tarza Abdullah , Aparna Sathya Murthy

I hope these links help me with DNN under OpenCV.

Dear Redhwan Algabri

You can try this:

https://machinelearningmastery.com/how-to-visualize-filters-and-feature-maps-in-convolutional-neural-networks/

Good Luck!

Thanks, dear brother Mugahed A. Al-antari

You can use Grad-CAM to visualise the output of any Convolutional layer (assuming you are working with images since you mentioned OpenCV).

You can follow Adrian's implementation here:

https://www.pyimagesearch.com/2020/03/09/grad-cam-visualize-class-activation-maps-with-keras-tensorflow-and-deep-learning/

and if you want to read more about Grad-CAM and it's implementation:

Article A Deep Learning and Grad-CAM based Color Visualization Appro...

Best Regards

Thanks Harsh Panwar

Jason Brownlee has a nice tutorial for visualizing filters and feature maps in convolutional neural networks:

https://machinelearningmastery.com/how-to-visualize-filters-and-feature-maps-in-convolutional-neural-networks/

Fatemeh Abdolali Thanks sister

Dear researcher, by using this link you can get some idea about your question. https://docs.opencv.org/master/d2/da3/group__io.html