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Fixed SMP segmentation conditions markup #562

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merged 1 commit into from
Oct 23, 2024
Merged

Fixed SMP segmentation conditions markup #562

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30 changes: 15 additions & 15 deletions segmentation/polus-smp-training-plugin/ict.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -166,12 +166,12 @@ ui:
key: inputs.inferenceMode
title: inferenceMode
type: select
- condition: inputs.inferenceMode==active
- condition: inputs.inferenceMode=='active'
description: Collection containing images on which to run inference.
key: inputs.imagesInferenceDir
title: imagesInferenceDir
type: path
- condition: inputs.inferenceMode==active
- condition: inputs.inferenceMode=='active'
description: Filename pattern for images on which to run inference.
key: inputs.inferencePattern
title: inferencePattern
Expand Down Expand Up @@ -347,7 +347,7 @@ ui:
key: inputs.encoderWeights
title: encoderWeights
type: select
- condition: inputs.inferenceMode==inactive
- condition: inputs.inferenceMode=='inactive'
description: Name of optimization algorithm to use for training the model. Required
if starting fresh.
fields:
Expand All @@ -365,40 +365,40 @@ ui:
key: inputs.optimizerName
title: optimizerName
type: select
- condition: inputs.inferenceMode==inactive
- condition: inputs.inferenceMode=='inactive'
description: Size of each batch for training. If left unspecified, we use the maximum
possible based on memory constraints.
key: inputs.batchSize
title: batchSize
type: number
- condition: inputs.inferenceMode==inactive
- condition: inputs.inferenceMode=='inactive'
description: Collection containing images to use for training.
key: inputs.imagesTrainDir
title: imagesTrainDir
type: path
- condition: inputs.inferenceMode==inactive
- condition: inputs.inferenceMode=='inactive'
description: Collection containing labels, i.e. the ground-truth, for the training
images.
key: inputs.labelsTrainDir
title: labelsTrainDir
type: path
- condition: inputs.inferenceMode==inactive
- condition: inputs.inferenceMode=='inactive'
description: Filename pattern for training images and labels.
key: inputs.trainPattern
title: trainPattern
type: text
- condition: inputs.inferenceMode==inactive
- condition: inputs.inferenceMode=='inactive'
description: Collection containing images to use for validation.
key: inputs.imagesValidDir
title: imagesValidDir
type: path
- condition: inputs.inferenceMode==inactive
- condition: inputs.inferenceMode=='inactive'
description: Collection containing labels, i.e. the ground-truth, for the validation
images.
key: inputs.labelsValidDir
title: labelsValidDir
type: path
- condition: inputs.inferenceMode==inactive
- condition: inputs.inferenceMode=='inactive'
description: Filename pattern for validation images and labels.
key: inputs.validPattern
title: validPattern
Expand All @@ -407,12 +407,12 @@ ui:
key: inputs.device
title: device
type: text
- condition: inputs.inferenceMode==inactive
- condition: inputs.inferenceMode=='inactive'
description: How often to save model checkpoints
key: inputs.checkpointFrequency
title: checkpointFrequency
type: number
- condition: inputs.inferenceMode==inactive
- condition: inputs.inferenceMode=='inactive'
description: Name of loss function to use.
fields:
- JaccardLoss
Expand All @@ -426,19 +426,19 @@ ui:
key: inputs.lossName
title: lossName
type: select
- condition: inputs.inferenceMode==inactive
- condition: inputs.inferenceMode=='inactive'
default: 100
description: Maximum number of epochs for which to continue training the model.
key: inputs.maxEpochs
title: maxEpochs
type: number
- condition: inputs.inferenceMode==inactive
- condition: inputs.inferenceMode=='inactive'
default: 10
description: Maximum number of epochs to wait for model to improve.
key: inputs.patience
title: patience
type: number
- condition: inputs.inferenceMode==inactive
- condition: inputs.inferenceMode=='inactive'
default: 0.0001
description: Minimum improvement in loss to reset patience.
key: inputs.minDelta
Expand Down
30 changes: 15 additions & 15 deletions segmentation/polus-smp-training-plugin/plugin.json
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -370,14 +370,14 @@
"key": "inputs.imagesInferenceDir",
"title": "imagesInferenceDir",
"description": "Collection containing images on which to run inference.",
"condition": "model.inputs.inferenceMode==active"
"condition": "model.inputs.inferenceMode=='active'"
},
{
"key": "inputs.inferencePattern",
"title": "inferencePattern",
"description": "Filename pattern for images on which to run inference.",
"default": ".*",
"condition": "model.inputs.inferenceMode==active"
"condition": "model.inputs.inferenceMode=='active'"
},
{
"key": "inputs.pretrainedModel",
Expand Down Expand Up @@ -413,51 +413,51 @@
"title": "optimizerName",
"description": "Name of optimization algorithm to use for training the model. Required if starting fresh.",
"default": "Adam",
"condition": "model.inputs.inferenceMode==inactive"
"condition": "model.inputs.inferenceMode=='inactive'"
},
{
"key": "inputs.batchSize",
"title": "batchSize",
"description": "Size of each batch for training. If left unspecified, we use the maximum possible based on memory constraints.",
"condition": "model.inputs.inferenceMode==inactive"
"condition": "model.inputs.inferenceMode=='inactive'"
},
{
"key": "inputs.imagesTrainDir",
"title": "imagesTrainDir",
"description": "Collection containing images to use for training.",
"condition": "model.inputs.inferenceMode==inactive"
"condition": "model.inputs.inferenceMode=='inactive'"
},
{
"key": "inputs.labelsTrainDir",
"title": "labelsTrainDir",
"description": "Collection containing labels, i.e. the ground-truth, for the training images.",
"condition": "model.inputs.inferenceMode==inactive"
"condition": "model.inputs.inferenceMode=='inactive'"
},
{
"key": "inputs.trainPattern",
"title": "trainPattern",
"description": "Filename pattern for training images and labels.",
"default": ".*",
"condition": "model.inputs.inferenceMode==inactive"
"condition": "model.inputs.inferenceMode=='inactive'"
},
{
"key": "inputs.imagesValidDir",
"title": "imagesValidDir",
"description": "Collection containing images to use for validation.",
"condition": "model.inputs.inferenceMode==inactive"
"condition": "model.inputs.inferenceMode=='inactive'"
},
{
"key": "inputs.labelsValidDir",
"title": "labelsValidDir",
"description": "Collection containing labels, i.e. the ground-truth, for the validation images.",
"condition": "model.inputs.inferenceMode==inactive"
"condition": "model.inputs.inferenceMode=='inactive'"
},
{
"key": "inputs.validPattern",
"title": "validPattern",
"description": "Filename pattern for validation images and labels.",
"default": ".*",
"condition": "model.inputs.inferenceMode==inactive"
"condition": "model.inputs.inferenceMode=='inactive'"
},
{
"key": "inputs.device",
Expand All @@ -469,35 +469,35 @@
"key": "inputs.checkpointFrequency",
"title": "checkpointFrequency",
"description": "How often to save model checkpoints",
"condition": "model.inputs.inferenceMode==inactive"
"condition": "model.inputs.inferenceMode=='inactive'"
},
{
"key": "inputs.lossName",
"title": "lossName",
"description": "Name of loss function to use.",
"default": "JaccardLoss",
"condition": "model.inputs.inferenceMode==inactive"
"condition": "model.inputs.inferenceMode=='inactive'"
},
{
"key": "inputs.maxEpochs",
"title": "maxEpochs",
"description": "Maximum number of epochs for which to continue training the model.",
"default": 100,
"condition": "model.inputs.inferenceMode==inactive"
"condition": "model.inputs.inferenceMode=='inactive'"
},
{
"key": "inputs.patience",
"title": "patience",
"description": "Maximum number of epochs to wait for model to improve.",
"default": 10,
"condition": "model.inputs.inferenceMode==inactive"
"condition": "model.inputs.inferenceMode=='inactive'"
},
{
"key": "inputs.minDelta",
"title": "minDelta",
"description": "Minimum improvement in loss to reset patience.",
"default": 0.0001,
"condition": "model.inputs.inferenceMode==inactive"
"condition": "model.inputs.inferenceMode=='inactive'"
}
],
"validators": [
Expand Down
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