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kkim-labelboxmnoszczakovalle15ovalle15Kevin Kim
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Release 3.54.1 (#1267)
Co-authored-by: mnoszczak <[email protected]> Co-authored-by: mnoszczak <[email protected]> Co-authored-by: Andrea Ovalle <[email protected]> Co-authored-by: ovalle15 <[email protected]> Co-authored-by: Kevin Kim <[email protected]>
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CHANGELOG.md

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# Changelog
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# Version 3.54.1 (2023-10-17)
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## Notebooks
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* Revised the notebooks to update outdated examples when using `client.create_project()` to create a project
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# Version 3.54.0 (2023-10-10)
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## Added
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* Add exports v1 deprecation warning
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* Create method in SDK to modify LPO priorities in bulk
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## Removed
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* Remove backoff library
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# Version 3.53.0 (2023-10-03)
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## Added
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* Remove LPO deprecation warning and allow greater range of priority values
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* Python 3.10 support
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* Change return of dataset.create_data_rows() to Task
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* Add new header to capture python version
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## Notebooks
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* Updated examples to match latest updates to SDK
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## Notebooks
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* Updated examples to match latest updates to SDK
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# Version 3.52.0 (2023-08-24)
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## Added
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* Added methods to create multiple batches for a project from a list of data rows
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* Limit the number of data rows to be checked for processing status
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# Version 3.51.0 (2023-08-14)
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## Added
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* Added global keys to export v2 filters for project, dataset and DataRow

docs/source/conf.py

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copyright = '2021, Labelbox'
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author = 'Labelbox'
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release = '3.54.0'
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release = '3.54.1'
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# -- General configuration ---------------------------------------------------
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examples/prediction_upload/video_predictions.ipynb

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"source": [
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"# Create a Labelbox project\n",
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"project = client.create_project(name=\"video_prediction_demo\",\n",
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" auto_audit_percentage=1,\n",
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" auto_audit_number_of_labels=1,\n",
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" media_type=lb.MediaType.Video)\n",
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"project.setup_editor(ontology)"
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],

examples/project_configuration/project_setup.ipynb

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"metadata": {},
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"source": [
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"import labelbox as lb\n",
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"from labelbox.schema.quality_mode import QualityMode\n",
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"import uuid"
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],
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"cell_type": "code",
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{
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"metadata": {},
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"source": [
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"\n",
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"batch_project = client.create_project(name=\"Project Setup Demo\",\n",
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" auto_audit_percentage=0.1,\n",
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" auto_audit_number_of_labels=4,\n",
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" quality_mode=QualityMode.Consensus, # For benchmarks use quality_mode = QualityMode.Benchmark\n",
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" media_type=lb.MediaType.Image)\n",
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"\n",
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"\n",
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" priority=5, # priority between 1(Highest) - 5(lowest)\n",
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" consensus_settings={\n",
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" \"number_of_labels\": 2, \n",
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" \"coverage_percentage\": 0.1 \n",
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" \"coverage_percentage\": 1 \n",
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" } \n",
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")\n",
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"print(\"Batch: \", batch)"

examples/project_configuration/queue_management.ipynb

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"metadata": {},
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"source": [
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"import labelbox as lb\n",
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"from labelbox.schema.quality_mode import QualityMode\n",
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"import numpy as np\n",
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"from io import BytesIO\n",
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"import os\n",
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"\n",
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"project = client.create_project(name=\"batch-test-project\",\n",
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" description=\"a description\",\n",
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" quality_mode=QualityMode.Benchmark, # For Consensus projects use quality_mode = QualityMode.Consensus\n",
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" media_type=lb.MediaType.Image,\n",
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" )\n",
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"\n",
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"# For Consensus quality settings use : \n",
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"consensus_quality = {\n",
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" \"auto_audit_percentage\": 0.1,\n",
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" \"auto_audit_number_of_labels\": 3\n",
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"}\n",
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"\n",
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"\n",
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"dataset = client.create_dataset(name=\"queue_dataset\")"
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],
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"cell_type": "code",

labelbox/__init__.py

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name = "labelbox"
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__version__ = "3.54.0"
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__version__ = "3.54.1"
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from labelbox.client import Client
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from labelbox.schema.project import Project

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