tests.system.providers.google.cloud.automl.example_automl_vision_object_detection

Example Airflow DAG that uses Google AutoML services.

Module Contents

tests.system.providers.google.cloud.automl.example_automl_vision_object_detection.ENV_ID[source]
tests.system.providers.google.cloud.automl.example_automl_vision_object_detection.PROJECT_ID[source]
tests.system.providers.google.cloud.automl.example_automl_vision_object_detection.DAG_ID = 'example_automl_vision_obj_detect'[source]
tests.system.providers.google.cloud.automl.example_automl_vision_object_detection.REGION = 'us-central1'[source]
tests.system.providers.google.cloud.automl.example_automl_vision_object_detection.IMAGE_DISPLAY_NAME[source]
tests.system.providers.google.cloud.automl.example_automl_vision_object_detection.MODEL_DISPLAY_NAME[source]
tests.system.providers.google.cloud.automl.example_automl_vision_object_detection.RESOURCE_DATA_BUCKET = 'airflow-system-tests-resources'[source]
tests.system.providers.google.cloud.automl.example_automl_vision_object_detection.IMAGE_GCS_BUCKET_NAME[source]
tests.system.providers.google.cloud.automl.example_automl_vision_object_detection.IMAGE_DATASET[source]
tests.system.providers.google.cloud.automl.example_automl_vision_object_detection.IMAGE_DATA_CONFIG[source]
tests.system.providers.google.cloud.automl.example_automl_vision_object_detection.create_bucket[source]
tests.system.providers.google.cloud.automl.example_automl_vision_object_detection.test_run[source]

Was this entry helpful?