Hello Rimsha,
I can see that you are facing an error with layer names while combining your base network with custom RCNN layers.
It seems that there is a conflict in layer names between the layers you're trying to add to the ‘layerGraph’ and the existing layers within the ‘baseNetwork’ (ResNet-50). It is because ResNet-50 already includes layers with names like 'input', 'conv1', 'relu1', and so on and when you attempt to add new layers with these same names to the ‘layerGraph’, an error is thrown due to the duplicate names.
To resolve the error, you need to ensure that the new layers you're adding have unique names that don't conflict with the existing layer names within the ‘baseNetwork’. You can use the following code snippet for the layers:
layers = [
imageInputLayer(inputSize, 'Name', 'input_rcnn')
convolution2dLayer(64, 3, 'Padding', 'same', 'Name', 'conv1_rcnn')
reluLayer('Name', 'relu1_rcnn')
maxPooling2dLayer(2, 'Stride', 2, 'Name', 'maxpool1_rcnn')
fullyConnectedLayer(128, 'Name', 'fc1_rcnn')
reluLayer('Name', 'relu2_rcnn')
fullyConnectedLayer(2, 'Name', 'my_classification_layer')
softmaxLayer('Name', 'softmax_rcnn')
classificationLayer('Name', 'my_output_rcnn')
];
Since the names have changed, you must also ensure that you are connecting the correct custom layers to the appropriate layer in the ‘baseNetwork’.
Hope this helps you resolve the error.
