How can I visualize solov2 models like Alexnet,Resnet50,etc., in deep learning toobox

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Yan
Yan 2024-12-30
评论： Yan 2025-2-6
I want to see what kind of convolutional layers/pooling layers, etc., are used in this model, and how are these layers connected, in the author's original paper, and my knowledge level is limited to understand them all

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Malay Agarwal
Malay Agarwal 2024-12-30
Hi @Yan,
MATLAB has a lot of these models built-in. Refer to the following resource for a list of the models available in MATLAB and how you can visualize them: https://www.mathworks.com/help/deeplearning/ug/pretrained-convolutional-neural-networks.html
Hope this helps!
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Peter Man
Peter Man 2025-1-3
@Yan, you can create an object detector in MATLAB like this:
detector = solov2("resnet50-coco");
However, as far as I can see there's no way to actually peek into the internal networks used in the object detector. But...if you look at the code for solov2 (by calling "edit solov2"), you will be able to see all the networks used there - see the internal properties such as FeatureNet, NeckNet, MaskFeatNet etc. Loading those networks into Deep Network Designer app might get you what you want.

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