| model: | |
| model_name: vsharp.vsharp.VSharpNet | |
| num_steps: 16 | |
| num_steps_dc_gd: 12 | |
| image_init: SENSE | |
| no_parameter_sharing: true | |
| auxiliary_steps: -1 | |
| image_model_architecture: UNET | |
| initializer_channels: | |
| - 32 | |
| - 32 | |
| - 32 | |
| - 64 | |
| - 64 | |
| initializer_dilations: | |
| - 1 | |
| - 1 | |
| - 2 | |
| - 4 | |
| - 8 | |
| initializer_multiscale: 1 | |
| initializer_activation: PRELU | |
| image_unet_num_filters: 16 | |
| image_unet_num_pool_layers: 5 | |
| image_unet_dropout: 0.0 | |
| image_unet_conv_out_bias: true | |
| additional_models: | |
| sensitivity_model: | |
| model_name: unet.unet_2d.UnetModel2d | |
| in_channels: 2 | |
| out_channels: 2 | |
| num_filters: 16 | |
| num_pool_layers: 5 | |
| dropout_probability: 0.0 | |
| conv_out_bias: true | |
| physics: | |
| forward_operator: fft2 | |
| backward_operator: ifft2 | |
| inference: | |
| batch_size: 1 | |
| crop: header | |
| dataset: | |
| name: FastMRI | |
| transforms: | |
| use_seed: true | |
| delete_kspace: false | |
| masking: | |
| name: FastMRIRandom | |
| accelerations: | |
| - 4 | |
| center_fractions: | |
| - 0.08 | |
| cropping: | |
| image_center_crop: false | |
| sensitivity_map_estimation: | |
| estimate_sensitivity_maps: true | |
| normalization: | |
| scaling_key: masked_kspace | |
| scale_percentile: 0.995 | |