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few fixes to custom basics #1444

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Mar 1, 2024
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few fixes to custom basics #1444

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48 changes: 12 additions & 36 deletions examples/model_experiments/model_diagnostics/custom_metrics_basics.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -75,6 +75,8 @@
"metadata": {},
"source": [
"import labelbox.types as lb_types\n",
"import labelbox as lb\n",
"import uuid\n",
"import json"
],
"cell_type": "code",
Expand Down Expand Up @@ -121,11 +123,11 @@
{
"metadata": {},
"source": [
"data_row_metric = ScalarMetric(metric_name=\"iou\", value=0.5)\n",
"data_row_metric = ScalarMetric(metric_name=\"iou_custom\", value=0.5)\n",
"\n",
"feature_metric = ScalarMetric(metric_name=\"iou\", feature_name=\"cat\", value=0.5)\n",
"feature_metric = ScalarMetric(metric_name=\"iou_custom\", feature_name=\"cat\", value=0.5)\n",
"\n",
"subclass_metric = ScalarMetric(metric_name=\"iou\",\n",
"subclass_metric = ScalarMetric(metric_name=\"iou_custom\",\n",
" feature_name=\"cat\",\n",
" subclass_name=\"organge\",\n",
" value=0.5)"
Expand Down Expand Up @@ -192,7 +194,7 @@
" 0.9: [1, 0, 1, 0]\n",
" })\n",
"\n",
"scalar_metric_with_confidence = ScalarMetric(metric_name=\"iou\",\n",
"scalar_metric_with_confidence = ScalarMetric(metric_name=\"iou_custom\",\n",
" value={\n",
" 0.1: 0.2,\n",
" 0.3: 0.25,\n",
Expand Down Expand Up @@ -300,18 +302,7 @@
"print(feature_confusion_matrix_metric(ground_truths, predictions))"
],
"cell_type": "code",
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[ScalarMetric(value=0.64, feature_name='cat', subclass_name=None, extra={}, metric_name='iou', aggregation=<ScalarMetricAggregation.ARITHMETIC_MEAN: 'ARITHMETIC_MEAN'>)]\n",
"[ScalarMetric(value=0.64, feature_name=None, subclass_name=None, extra={}, metric_name='iou', aggregation=<ScalarMetricAggregation.ARITHMETIC_MEAN: 'ARITHMETIC_MEAN'>)]\n",
"[ConfusionMatrixMetric(value=(1, 0, 0, 0), feature_name=None, subclass_name=None, extra={}, metric_name='50pct_iou', aggregation=<ConfusionMatrixAggregation.CONFUSION_MATRIX: 'CONFUSION_MATRIX'>)]\n",
"[ConfusionMatrixMetric(value=(1, 0, 0, 0), feature_name='cat', subclass_name=None, extra={}, metric_name='50pct_iou', aggregation=<ConfusionMatrixAggregation.CONFUSION_MATRIX: 'CONFUSION_MATRIX'>)]\n"
]
}
],
"outputs": [],
"execution_count": null
},
{
Expand All @@ -322,20 +313,13 @@
"print(feature_confusion_matrix_metric(ground_truths, predictions, iou=0.9))"
],
"cell_type": "code",
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[ConfusionMatrixMetric(value=(0, 1, 0, 1), feature_name='cat', subclass_name=None, extra={}, metric_name='90pct_iou', aggregation=<ConfusionMatrixAggregation.CONFUSION_MATRIX: 'CONFUSION_MATRIX'>)]\n"
]
}
],
"outputs": [],
"execution_count": null
},
{
"metadata": {},
"source": [
"\n",
"# subclasses are included by default\n",
"predictions = [\n",
" lb_types.ObjectAnnotation(\n",
Expand Down Expand Up @@ -375,16 +359,7 @@
"print(\"Excluding Subclasses:\", iou_metrics[0].value)"
],
"cell_type": "code",
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Subclasses: (0, 1, 0, 1)\n",
"Excluding Subclasses: (1, 0, 0, 0)\n"
]
}
],
"outputs": [],
"execution_count": null
},
{
Expand All @@ -404,9 +379,10 @@
"metadata": {},
"source": [
"# Continuing with the last example:\n",
"global_key = \"<global_key>\"\n",
"metrics = [*conf_matrix_metrics, *iou_metrics]\n",
"labels = [\n",
" lb_types.Label(data=lb_types.ImageData(uid=\"cktiom8osh4210ytmevuk7lfh\"), annotations=metrics)\n",
" lb_types.Label(data=lb_types.ImageData(global_key=global_key), annotations=metrics)\n",
"]\n",
"# We can upload these metric with other annotations\n",
"#model_run.add_predictions(f'diagnostics-import-{uuid.uuid4()}', labels)"
Expand Down