How to use Grad-CAM implemented by Gluon to visualize the model trained by the symbol network?
You could export your model and load it into Gluon. Here is an example:
net = gluon.nn.SymbolBlock.imports('resnet18-symbol.json', ['data'], param_file='resnet18-0000.params', ctx=mx.gpu())
Once you have loaded the model into Gluon you can use the gradcam module. Here is a nice tutorial: https://mxnet.incubator.apache.org/versions/master/tutorials/vision/cnn_visualization.html
It is very helpful, thanks
The example is about HybridBlock. I didn’t find how to convert SymbolBlock to HybridBlock. Any advice will be appreciated, thanks
Sorry, I failed to try this. Any more advice will be appreciated, thanks
did you get any solution for your problem? Would be interessted to see how you did it
Thanks in advance!
Sorry, I didn’t get any solution. Thanks