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Copy file name to clipboardExpand all lines: brainchop-parameters.js
+2-2Lines changed: 2 additions & 2 deletions
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@@ -388,7 +388,7 @@ const inferenceModelsList = [
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numOverlapBatches: 0,// Number of extra overlap batches for inference
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enableTranspose: true,// Keras and tfjs input orientation may need a tranposing step to be matched
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enableCrop: true,// For speed-up inference, crop brain from background before feeding to inference model to lower memory use.
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cropPadding: 0,// Padding size add to cropped brain
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cropPadding: 10,// Padding size add to cropped brain
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autoThreshold: 0,// Threshold between 0 and 1, given no preModel and tensor is normalized either min-max or by quantiles. Will remove noisy voxels around brain
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enableQuantileNorm: false,// Some models needs Quantile Normaliztion.
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filterOutWithPreMask: false,// Can be used to multiply final output with premodel output mask to crean noisy areas
@@ -411,7 +411,7 @@ const inferenceModelsList = [
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numOverlapBatches: 0,// Number of extra overlap batches for inference
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enableTranspose: true,// Keras and tfjs input orientation may need a tranposing step to be matched
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enableCrop: true,// For speed-up inference, crop brain from background before feeding to inference model to lower memory use.
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cropPadding: 0,// Padding size add to cropped brain
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cropPadding: 10,// Padding size add to cropped brain
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autoThreshold: 0,// Threshold between 0 and 1, given no preModel and tensor is normalized either min-max or by quantiles. Will remove noisy voxels around brain
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enableQuantileNorm: false,// Some models needs Quantile Normaliztion.
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filterOutWithPreMask: false,// Can be used to multiply final output with premodel output mask to crean noisy areas
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