在生成模型时,根据输入的模型名称(utils.py),选择不同的(width, depth, resolution, dropout)参数,例如efficientnet-b0的参数就是(1.0, 1.0, 224, 0.2), def efficientnet_params(model_name): """ Map EfficientNet model name to parameter coefficients. """ params_dict = { # Coefficients: width,depth,...
在生成模型时,根据输入的模型名称(utils.py),选择不同的(width, depth, resolution, dropout)参数,例如efficientnet-b0的参数就是(1.0, 1.0, 224, 0.2), defefficientnet_params(model_name): """ Map EfficientNet model name to parameter coefficients. """ params_dict={ # Coefficients: width,depth,res,...