Hi Rodrigo,
In MATLAB, the "Network" property of the "yolov4ObjectDetector" is read-only, which means you cannot directly modify it after the object is created. This is to ensure the integrity of the pre-trained networks and their associated properties.
If you want to modify the network architecture, such as replacing a layer with a different one, you should do this before creating the "yolov4ObjectDetector" object. You would typically modify the layers of the deep learning network and then create the object detector with the modified network.
Here's a general approach on how you could do the same:
% Load the pre-trained YOLOv4 network
net = load('yolov4Network.mat'); % Replace with your network source
lgraph = layerGraph(net);
% Replace the layer with the new layer with the correct name
newLayer = convolution2dLayer([1, 1], numFilters, 'Name', 'newOutputLayerName', 'WeightLearnRateFactor',1, 'BiasLearnRateFactor',1);
lgraph = replaceLayer(lgraph, 'customOutputConv1', newLayer);
% Create the yolov4ObjectDetector with the modified network
detector = yolov4ObjectDetector(lgraph, anchorBoxes, classNames);`
You can refer to the following link to read more on the "replaceLayer" function:
I hope this helps!
