Cloud Vision V1 Client - Class ImportProductSetsGcsSource (1.7.6)

Reference documentation and code samples for the Cloud Vision V1 Client class ImportProductSetsGcsSource.

The Google Cloud Storage location for a csv file which preserves a list of ImportProductSetRequests in each line.

Generated from protobuf message google.cloud.vision.v1.ImportProductSetsGcsSource

Namespace

Google \ Cloud \ Vision \ V1

Methods

__construct

Constructor.

Parameters
NameDescription
data array

Optional. Data for populating the Message object.

↳ csv_file_uri string

The Google Cloud Storage URI of the input csv file. The URI must start with gs://. The format of the input csv file should be one image per line. In each line, there are 8 columns. 1. image-uri 2. image-id 3. product-set-id 4. product-id 5. product-category 6. product-display-name 7. labels 8. bounding-poly The image-uri, product-set-id, product-id, and product-category columns are required. All other columns are optional. If the ProductSet or Product specified by the product-set-id and product-id values does not exist, then the system will create a new ProductSet or Product for the image. In this case, the product-display-name column refers to display_name, the product-category column refers to product_category, and the labels column refers to product_labels. The image-id column is optional but must be unique if provided. If it is empty, the system will automatically assign a unique id to the image. The product-display-name column is optional. If it is empty, the system sets the display_name field for the product to a space (" "). You can update the display_name later by using the API. If a Product with the specified product-id already exists, then the system ignores the product-display-name, product-category, and labels columns. The labels column (optional) is a line containing a list of comma-separated key-value pairs, in the following format: "key_1=value_1,key_2=value_2,...,key_n=value_n" The bounding-poly column (optional) identifies one region of interest from the image in the same manner as CreateReferenceImage. If you do not specify the bounding-poly column, then the system will try to detect regions of interest automatically. At most one bounding-poly column is allowed per line. If the image contains multiple regions of interest, add a line to the CSV file that includes the same product information, and the bounding-poly values for each region of interest. The bounding-poly column must contain an even number of comma-separated numbers, in the format "p1_x,p1_y,p2_x,p2_y,...,pn_x,pn_y". Use non-negative integers for absolute bounding polygons, and float values in [0, 1] for normalized bounding polygons. The system will resize the image if the image resolution is too large to process (larger than 20MP).

getCsvFileUri

The Google Cloud Storage URI of the input csv file.

The URI must start with gs://. The format of the input csv file should be one image per line. In each line, there are 8 columns.

  1. image-uri
  2. image-id
  3. product-set-id
  4. product-id
  5. product-category
  6. product-display-name
  7. labels
  8. bounding-poly The image-uri, product-set-id, product-id, and product-category columns are required. All other columns are optional. If the ProductSet or Product specified by the product-set-id and product-id values does not exist, then the system will create a new ProductSet or Product for the image. In this case, the product-display-name column refers to display_name, the product-category column refers to product_category, and the labels column refers to product_labels. The image-id column is optional but must be unique if provided. If it is empty, the system will automatically assign a unique id to the image. The product-display-name column is optional. If it is empty, the system sets the display_name field for the product to a space (" "). You can update the display_name later by using the API. If a Product with the specified product-id already exists, then the system ignores the product-display-name, product-category, and labels columns. The labels column (optional) is a line containing a list of comma-separated key-value pairs, in the following format: "key_1=value_1,key_2=value_2,...,key_n=value_n" The bounding-poly column (optional) identifies one region of interest from the image in the same manner as CreateReferenceImage. If you do not specify the bounding-poly column, then the system will try to detect regions of interest automatically. At most one bounding-poly column is allowed per line. If the image contains multiple regions of interest, add a line to the CSV file that includes the same product information, and the bounding-poly values for each region of interest. The bounding-poly column must contain an even number of comma-separated numbers, in the format "p1_x,p1_y,p2_x,p2_y,...,pn_x,pn_y". Use non-negative integers for absolute bounding polygons, and float values in [0, 1] for normalized bounding polygons. The system will resize the image if the image resolution is too large to process (larger than 20MP).
Returns
TypeDescription
string

setCsvFileUri

The Google Cloud Storage URI of the input csv file.

The URI must start with gs://. The format of the input csv file should be one image per line. In each line, there are 8 columns.

  1. image-uri
  2. image-id
  3. product-set-id
  4. product-id
  5. product-category
  6. product-display-name
  7. labels
  8. bounding-poly The image-uri, product-set-id, product-id, and product-category columns are required. All other columns are optional. If the ProductSet or Product specified by the product-set-id and product-id values does not exist, then the system will create a new ProductSet or Product for the image. In this case, the product-display-name column refers to display_name, the product-category column refers to product_category, and the labels column refers to product_labels. The image-id column is optional but must be unique if provided. If it is empty, the system will automatically assign a unique id to the image. The product-display-name column is optional. If it is empty, the system sets the display_name field for the product to a space (" "). You can update the display_name later by using the API. If a Product with the specified product-id already exists, then the system ignores the product-display-name, product-category, and labels columns. The labels column (optional) is a line containing a list of comma-separated key-value pairs, in the following format: "key_1=value_1,key_2=value_2,...,key_n=value_n" The bounding-poly column (optional) identifies one region of interest from the image in the same manner as CreateReferenceImage. If you do not specify the bounding-poly column, then the system will try to detect regions of interest automatically. At most one bounding-poly column is allowed per line. If the image contains multiple regions of interest, add a line to the CSV file that includes the same product information, and the bounding-poly values for each region of interest. The bounding-poly column must contain an even number of comma-separated numbers, in the format "p1_x,p1_y,p2_x,p2_y,...,pn_x,pn_y". Use non-negative integers for absolute bounding polygons, and float values in [0, 1] for normalized bounding polygons. The system will resize the image if the image resolution is too large to process (larger than 20MP).
Parameter
NameDescription
var string
Returns
TypeDescription
$this