type: com.google.api.codegen.ConfigProto config_schema_version: 2.0.0 language_settings: java: package_name: com.google.cloud.vision.v1 release_level: GA python: package_name: google.cloud.vision_v1.gapic go: package_name: cloud.google.com/go/vision/apiv1 release_level: GA csharp: package_name: Google.Cloud.Vision.V1 release_level: GA ruby: package_name: Google::Cloud::Vision::V1 php: package_name: Google\Cloud\Vision\V1 nodejs: package_name: vision.v1 domain_layer_location: google-cloud interfaces: - name: google.cloud.vision.v1.ImageAnnotator smoke_test: method: BatchAnnotateImages init_fields: - requests[0].image.source.gcs_image_uri="gs://cloud-samples-data/vision/face_detection/celebrity_recognition/sergey.jpg" - requests[0].features[0].type=FACE_DETECTION methods: - name: BatchAnnotateFiles samples: standalone: - region_tag: vision_batch_annotate_files_gcs value_sets: [vision_batch_annotate_files_gcs] - region_tag: vision_batch_annotate_files value_sets: [vision_batch_annotate_files] sample_value_sets: - id: vision_batch_annotate_files_gcs description: "Perform batch file annotation" parameters: defaults: - requests[0].input_config.gcs_source.uri=gs://cloud-samples-data/vision/document_understanding/kafka.pdf - requests[0].features[0].type=DOCUMENT_TEXT_DETECTION - requests[0].pages[0]=1 - requests[0].pages[1]=2 - requests[0].pages[2]="-1" attributes: - parameter: requests[0].input_config.gcs_source.uri sample_argument_name: storage_uri description: "Cloud Storage URI to source image in the format gs://[bucket]/[file]" - parameter: requests[0].pages[0] description: | The service can process up to 5 pages per document file. Here we specify the first, second, and last page of the document to be processed. on_success: - loop: collection: $resp.responses[0].responses variable: image_response body: - print: ["Full text: %s", image_response.full_text_annotation.text] - loop: collection: image_response.full_text_annotation.pages variable: page body: - loop: collection: page.blocks variable: block body: - print: ["\nBlock confidence: %s", block.confidence] - loop: collection: block.paragraphs variable: par body: - print: ["\tParagraph confidence: %s", par.confidence] - loop: collection: par.words variable: word body: - print: ["\t\tWord confidence: %s", word.confidence] - loop: collection: word.symbols variable: symbol body: - print: ["\t\t\tSymbol: %s, (confidence: %s)", symbol.text, symbol.confidence] - id: vision_batch_annotate_files description: "Perform batch file annotation" parameters: defaults: - requests[0].input_config.mime_type="application/pdf" - requests[0].input_config.content="resources/kafka.pdf" - requests[0].features[0].type=DOCUMENT_TEXT_DETECTION - requests[0].pages[0]=1 - requests[0].pages[1]=2 - requests[0].pages[2]="-1" attributes: - parameter: requests[0].input_config.mime_type description: "Supported mime_type: application/pdf, image/tiff, image/gif" - parameter: requests[0].input_config.content sample_argument_name: file_path read_file: true description: Path to local pdf file, e.g. /path/document.pdf - parameter: requests[0].pages[0] description: "The service can process up to 5 pages per document file. Here we specify the first, second, and last page of the document to be processed." on_success: - loop: collection: $resp.responses[0].responses variable: image_response body: - print: ["Full text: %s", image_response.full_text_annotation.text] - loop: collection: image_response.full_text_annotation.pages variable: page body: - loop: collection: page.blocks variable: block body: - print: ["\nBlock confidence: %s", block.confidence] - loop: collection: block.paragraphs variable: par body: - print: ["\tParagraph confidence: %s", par.confidence] - loop: collection: par.words variable: word body: - print: ["\t\tWord confidence: %s", word.confidence] - loop: collection: word.symbols variable: symbol body: - print: ["\t\t\tSymbol: %s, (confidence: %s)", symbol.text, symbol.confidence] - name: AsyncBatchAnnotateImages long_running: initial_poll_delay_millis: 20000 poll_delay_multiplier: 1.5 max_poll_delay_millis: 45000 total_poll_timeout_millis: 86400000 samples: standalone: - region_tag: vision_async_batch_annotate_images value_sets: [vision_async_batch_annotate_images] sample_value_sets: - id: vision_async_batch_annotate_images title: Async Batch Image Annotation description: "Perform async batch image annotation" parameters: defaults: - requests[0].image.source.image_uri=gs://cloud-samples-data/vision/label/wakeupcat.jpg - requests[0].features[0].type=LABEL_DETECTION - requests[0].features[1].type=IMAGE_PROPERTIES - output_config.gcs_destination.uri=gs://your-bucket/prefix/ - output_config.batch_size=2 attributes: - parameter: requests[0].image.source.image_uri sample_argument_name: input_image_uri - parameter: output_config.gcs_destination.uri sample_argument_name: output_uri - parameter: output_config.batch_size description: The max number of responses to output in each JSON file on_success: - comment: ["The output is written to GCS with the provided output_uri as prefix"] - define: gcs_output_uri=$resp.output_config.gcs_destination.uri - print: ["Output written to GCS with prefix: %s", gcs_output_uri] - name: AsyncBatchAnnotateFiles long_running: initial_poll_delay_millis: 20000 poll_delay_multiplier: 1.5 max_poll_delay_millis: 45000 total_poll_timeout_millis: 86400000 - name: google.cloud.vision.v1.ProductSearch methods: - name: ImportProductSets long_running: initial_poll_delay_millis: 20000 poll_delay_multiplier: 1.5 max_poll_delay_millis: 45000 total_poll_timeout_millis: 86400000 - name: PurgeProducts long_running: initial_poll_delay_millis: 20000 poll_delay_multiplier: 1.5 max_poll_delay_millis: 45000 total_poll_timeout_millis: 86400000 # Force string formatting functions to be generated. enable_string_format_functions_override: true