# Inference-only config (active: 4x). # Other validation rates are commented under inference.dataset.transforms.masking. # Pair with checkpoint vsharp_ads_2d.pt (same stem as the training YAML). model: model_name: vsharp.vsharp.VSharpNet3D num_steps: 8 num_steps_dc_gd: 8 image_init: SENSE no_parameter_sharing: true auxiliary_steps: -1 initializer_channels: - 32 - 32 - 64 - 64 initializer_dilations: - 1 - 1 - 2 - 4 initializer_multiscale: 1 initializer_activation: PRELU unet_num_filters: 16 unet_num_pool_layers: 4 unet_dropout: 0.0 unet_norm: false additional_models: sampling_model: model_name: adaptive.policy.StraightThroughPolicy sampling_dimension: TWO_D st_slope: 10.0 st_clamp: false use_softplus: true slope: 10.0 fix_sign_leakage: true kspace_shape: - 12 - 512 - 246 num_layers: 1 kspace_sampler: false sampler_detach_mask: false sampler_chans: 16 sampler_num_pool_layers: 3 sampler_fc_size: 128 sampler_drop_prob: 0.0 sampler_num_fc_layers: 3 sampler_activation: LEAKY_RELU sampling_type: STATIC sensitivity_model: model_name: unet.unet_2d.UnetModel2d in_channels: 2 out_channels: 2 num_filters: 16 num_pool_layers: 4 dropout_probability: 0.0 physics: forward_operator: fft2 backward_operator: ifft2 inference: batch_size: 1 crop: header dataset: name: CMRxRecon transforms: use_seed: true delete_kspace: false masking: name: Gaussian2D accelerations: - 4.0327 center_fractions: - 0.04 # --- 6x: uncomment these; comment out the active lists above --- # accelerations: [6] # center_fractions: [0.04] # --- 8x: uncomment these; comment out the active lists above --- # accelerations: [8.2] # center_fractions: [0.04] cropping: image_center_crop: false sensitivity_map_estimation: estimate_sensitivity_maps: true normalization: scaling_key: acs_kspace scale_percentile: 0.995 use_acs_as_mask: true delete_acs_mask: false augmentation: pad: - 512 - 246 kspace_context: time