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A Keras implementation of MobileNetV3.

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I want to have a pretained mode trained on Imagenet? can anyone help me?

This error occurred when I loaded the model。 h5_model = load_model(weight_file_path, custom_objects={'_hard_swish':_hard_swish, '_relu6':_relu6, '_return_activation':_return_activation, '_conv_block':_conv_block, '_bottleneck':_bottleneck, 'build':build}) h5_to_pb(h5_model,output_dir = output_dir,model_name = output_graph_name)

Ur code only add output with input when the stride is 1. How about that the stride is 2?

Hey in you code depth multiplier value is 1 and width multiplier alpha can be configured and theoretically both seems to be different.If i change the depth multiplier value as...

Firstly, thanks for the implementation of the MobileNetV3! Do you have an interest in implementing the semantic segmentation head described in section 6.4? I am currently planning to implement that,...

I have train this model in a new dataset, and then I get the weights about 38MB. Please help me, and I don't know what the reason is.

could you share a trained model? thanks

when I use paper parameters to train my task , the result is not good enough. how to use NAS and NetAdapt to optimize mobilenet block and layer to adapt...