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[SN-100] Update notebook for Project move_data_rows_to_task_queue #1343

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Merged
merged 7 commits into from
Jan 12, 2024
Merged

[SN-100] Update notebook for Project move_data_rows_to_task_queue #1343

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dea8b79
SN-100 added move_data_rows_to_task_queue in project notebook
Gabefire Dec 21, 2023
f7a2c5f
SN-100 fix clean up cell
Gabefire Dec 21, 2023
54dbbc0
SN-100 added error message to annotation imports
Gabefire Dec 21, 2023
36b5670
SN-100 fixed typo
Gabefire Dec 21, 2023
ea0c103
fixed MAL import labels
Gabefire Jan 2, 2024
2d88513
made changes to markdown
Gabefire Jan 10, 2024
0b602ee
made changes to markdown
Gabefire Jan 10, 2024
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134 changes: 129 additions & 5 deletions examples/basics/projects.ipynb
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Expand Up @@ -48,7 +48,7 @@
{
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@ovalle15 ovalle15 Jan 4, 2024 •
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Can we add some text here about why are we creating ontology and labels, and re-format some of the code blocks like we discussed?


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@Gabefire Gabefire Jan 10, 2024

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Hey! I made these changes. Let me know what you think.

"metadata": {},
"source": [
"!pip install labelbox -q"
"!pip install -q \"labelbox[data]\""
],
"cell_type": "code",
"outputs": [],
Expand All @@ -58,7 +58,7 @@
"metadata": {},
"source": [
"import labelbox as lb\n",
"import os\n",
"import labelbox.types as lb_types\n",
"import uuid"
],
"cell_type": "code",
Expand All @@ -76,8 +76,9 @@
{
"metadata": {},
"source": [
"# Add your api key\n",
"# Add your API key\n",
"API_KEY = \"\"\n",
"# To get your API key go to: Workspace settings -> API -> Create API Key\n",
"client = lb.Client(api_key=API_KEY)"
],
"cell_type": "code",
Expand Down Expand Up @@ -154,6 +155,127 @@
"outputs": [],
"execution_count": null
},
{
"metadata": {},
"source": [
"### Attach ontology and label data rows\n",
"\n",
"In this section, we are creating an ontology to attach to a project and creating labels to import as ground truths. We need this setup to demonstrate other methods later in the demo. For more information, please reference our [Ontology](https://docs.labelbox.com/reference/ontology) and [Import Image Annotation](https://docs.labelbox.com/reference/import-image-annotations) development guides."
],
"cell_type": "markdown"
},
{
"metadata": {},
"source": [
"Create your ontology"
],
"cell_type": "markdown"
},
{
"metadata": {},
"source": [
"# Create normalized json with a radio classification\n",
"ontology_builder = lb.OntologyBuilder(classifications=[ # List of Classification objects\n",
" lb.Classification(class_type=lb.Classification.Type.RADIO,\n",
" name=\"radio_question\",\n",
" options=[\n",
" lb.Option(value=\"first_radio_answer\"),\n",
" lb.Option(value=\"second_radio_answer\")\n",
" ]),\n",
"])\n",
"# Creating an ontology\n",
"ontology = client.create_ontology(\"test-ontology\",\n",
" ontology_builder.asdict())"
],
"cell_type": "code",
"outputs": [],
"execution_count": null
},
{
"metadata": {},
"source": [
"Attach ontology to project"
],
"cell_type": "markdown"
},
{
"metadata": {},
"source": [
"\n",
"project.setup_editor(ontology)"
],
"cell_type": "code",
"outputs": [],
"execution_count": null
},
{
"metadata": {},
"source": [
"Create labels and upload them to project as ground truths"
],
"cell_type": "markdown"
},
{
"metadata": {},
"source": [
"# Create labels\n",
"labels = []\n",
"for global_key in global_keys:\n",
" labels.append(lb_types.Label(data=lb_types.ImageData(global_key=global_key),\n",
" annotations=[\n",
" # Create radio classification annotation for labels\n",
" lb_types.ClassificationAnnotation(\n",
" name=\"radio_question\",\n",
" value=lb_types.Radio(answer=lb_types.ClassificationAnswer(\n",
" name=\"second_radio_answer\")))\n",
" ]))\n",
"\n",
"# Upload labels for the data rows in project\n",
"upload_job = lb.LabelImport.create_from_objects(\n",
" client = client,\n",
" project_id = project.uid,\n",
" name=\"label_import_job\"+str(uuid.uuid4()),\n",
" labels=labels)\n",
"\n",
"upload_job.wait_until_done()\n",
"\n",
"print(f\"Errors: {upload_job.errors}\")"
],
"cell_type": "code",
"outputs": [],
"execution_count": null
},
{
"metadata": {},
"source": [
"### Move data rows in project to different task queues"
],
"cell_type": "markdown"
},
{
"metadata": {},
"source": [
"# Get list of task queues for project\n",
"task_queues = project.task_queues()\n",
"\n",
"for task_queue in task_queues:\n",
" print(task_queue)"
],
"cell_type": "code",
"outputs": [],
"execution_count": null
},
{
"metadata": {},
"source": [
"project.move_data_rows_to_task_queue(data_row_ids=lb.GlobalKeys(global_keys), #Provide a list of global keys\n",
" task_queue_id=task_queues[2].uid #Passing None moves data rows to \"Done\" task queue\n",
")"
],
"cell_type": "code",
"outputs": [],
"execution_count": null
},
{
"metadata": {},
"source": [
Expand All @@ -180,14 +302,16 @@
{
"metadata": {},
"source": [
"### Delete"
"### Clean Up"
],
"cell_type": "markdown"
},
{
"metadata": {},
"source": [
"# project.delete()"
"# project.delete()\n",
"# dataset.delete()\n",
"# client.delete_unused_ontology(ontology.uid)"
],
"cell_type": "code",
"outputs": [],
Expand Down