Upload Dataset009_LUNA25/nnUNetCLSTrainerMTL__nnUNetPlans__3d_fullres/plans.json with huggingface_hub
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Dataset009_LUNA25/nnUNetCLSTrainerMTL__nnUNetPlans__3d_fullres/plans.json
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| 1 |
+
{
|
| 2 |
+
"dataset_name": "Dataset009_LUNA25",
|
| 3 |
+
"plans_name": "nnUNetPlans",
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| 4 |
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"original_median_spacing_after_transp": [
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| 5 |
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2.0,
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| 6 |
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| 7 |
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],
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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],
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| 14 |
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"image_reader_writer": "SimpleITKIO",
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| 15 |
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"transpose_forward": [
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| 16 |
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0,
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| 17 |
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| 18 |
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| 19 |
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],
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| 20 |
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"transpose_backward": [
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| 21 |
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0,
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| 22 |
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| 23 |
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| 24 |
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],
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| 25 |
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"configurations": {
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| 26 |
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"2d": {
|
| 27 |
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"data_identifier": "nnUNetPlans_2d",
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| 28 |
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"preprocessor_name": "DefaultPreprocessor",
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| 29 |
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"batch_size": 199,
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| 30 |
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"patch_size": [
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| 31 |
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128,
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| 32 |
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| 33 |
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],
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| 34 |
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"median_image_size_in_voxels": [
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| 35 |
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128.0,
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| 36 |
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128.0
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| 37 |
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],
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| 38 |
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"spacing": [
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| 39 |
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],
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"normalization_schemes": [
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| 43 |
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"CTNormalization"
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| 44 |
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],
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| 45 |
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"use_mask_for_norm": [
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| 46 |
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false
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| 47 |
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],
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| 48 |
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"resampling_fn_data": "resample_data_or_seg_to_shape",
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| 49 |
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"resampling_fn_seg": "resample_data_or_seg_to_shape",
|
| 50 |
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"resampling_fn_data_kwargs": {
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| 51 |
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"is_seg": false,
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| 52 |
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| 53 |
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| 60 |
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| 61 |
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},
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| 62 |
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"resampling_fn_probabilities": "resample_data_or_seg_to_shape",
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| 63 |
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| 64 |
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"is_seg": false,
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| 65 |
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"order": 1,
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| 66 |
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"order_z": 0,
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| 67 |
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"force_separate_z": null
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| 68 |
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},
|
| 69 |
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"architecture": {
|
| 70 |
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"network_class_name": "dynamic_network_architectures.architectures.unet.PlainConvUNet",
|
| 71 |
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"arch_kwargs": {
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| 72 |
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"n_stages": 6,
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| 73 |
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"features_per_stage": [
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| 74 |
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32,
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| 75 |
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| 76 |
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| 77 |
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| 78 |
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| 79 |
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| 80 |
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],
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| 81 |
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"conv_op": "torch.nn.modules.conv.Conv2d",
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| 82 |
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| 83 |
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[
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| 84 |
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| 85 |
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| 86 |
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| 88 |
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| 89 |
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| 90 |
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| 91 |
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| 92 |
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| 93 |
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| 94 |
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| 95 |
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| 96 |
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| 97 |
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| 98 |
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| 99 |
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| 100 |
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| 103 |
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| 104 |
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| 105 |
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| 106 |
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]
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| 107 |
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],
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| 108 |
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| 109 |
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| 110 |
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| 111 |
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| 112 |
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| 130 |
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2,
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| 131 |
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| 132 |
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]
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| 133 |
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],
|
| 134 |
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"n_conv_per_stage": [
|
| 135 |
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2,
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| 136 |
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2,
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| 137 |
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| 138 |
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| 139 |
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| 140 |
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| 141 |
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],
|
| 142 |
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"n_conv_per_stage_decoder": [
|
| 143 |
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2,
|
| 144 |
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2,
|
| 145 |
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2,
|
| 146 |
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2,
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| 147 |
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2
|
| 148 |
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],
|
| 149 |
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"conv_bias": true,
|
| 150 |
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"norm_op": "torch.nn.modules.instancenorm.InstanceNorm2d",
|
| 151 |
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"norm_op_kwargs": {
|
| 152 |
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"eps": 1e-05,
|
| 153 |
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"affine": true
|
| 154 |
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},
|
| 155 |
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"dropout_op": null,
|
| 156 |
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"dropout_op_kwargs": null,
|
| 157 |
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"nonlin": "torch.nn.LeakyReLU",
|
| 158 |
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"nonlin_kwargs": {
|
| 159 |
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"inplace": true
|
| 160 |
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}
|
| 161 |
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},
|
| 162 |
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"_kw_requires_import": [
|
| 163 |
+
"conv_op",
|
| 164 |
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"norm_op",
|
| 165 |
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"dropout_op",
|
| 166 |
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"nonlin"
|
| 167 |
+
]
|
| 168 |
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},
|
| 169 |
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"batch_dice": true
|
| 170 |
+
},
|
| 171 |
+
"3d_fullres": {
|
| 172 |
+
"data_identifier": "nnUNetPlans_3d_fullres",
|
| 173 |
+
"preprocessor_name": "DefaultPreprocessor",
|
| 174 |
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"batch_size": 4,
|
| 175 |
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"patch_size": [
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| 176 |
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64,
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| 177 |
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128,
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| 178 |
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128
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| 179 |
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],
|
| 180 |
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"median_image_size_in_voxels": [
|
| 181 |
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64.0,
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| 182 |
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128.0,
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| 183 |
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128.0
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| 184 |
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],
|
| 185 |
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"spacing": [
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| 186 |
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2.0,
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| 187 |
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| 188 |
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| 189 |
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],
|
| 190 |
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"normalization_schemes": [
|
| 191 |
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"CTNormalization"
|
| 192 |
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],
|
| 193 |
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"use_mask_for_norm": [
|
| 194 |
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false
|
| 195 |
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],
|
| 196 |
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"resampling_fn_data": "resample_data_or_seg_to_shape",
|
| 197 |
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"resampling_fn_seg": "resample_data_or_seg_to_shape",
|
| 198 |
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"resampling_fn_data_kwargs": {
|
| 199 |
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"is_seg": false,
|
| 200 |
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"order": 3,
|
| 201 |
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"order_z": 0,
|
| 202 |
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"force_separate_z": null
|
| 203 |
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},
|
| 204 |
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"resampling_fn_seg_kwargs": {
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| 205 |
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"is_seg": true,
|
| 206 |
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"order": 1,
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| 207 |
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"order_z": 0,
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| 208 |
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"force_separate_z": null
|
| 209 |
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},
|
| 210 |
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"resampling_fn_probabilities": "resample_data_or_seg_to_shape",
|
| 211 |
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"resampling_fn_probabilities_kwargs": {
|
| 212 |
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"is_seg": false,
|
| 213 |
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"order": 1,
|
| 214 |
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"order_z": 0,
|
| 215 |
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"force_separate_z": null
|
| 216 |
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},
|
| 217 |
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"architecture": {
|
| 218 |
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"network_class_name": "dynamic_network_architectures.architectures.unet.PlainConvUNet",
|
| 219 |
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"arch_kwargs": {
|
| 220 |
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"n_stages": 6,
|
| 221 |
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"features_per_stage": [
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| 222 |
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32,
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| 224 |
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| 225 |
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| 226 |
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| 227 |
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| 228 |
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],
|
| 229 |
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"conv_op": "torch.nn.modules.conv.Conv3d",
|
| 230 |
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"kernel_sizes": [
|
| 231 |
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