Class: Google::Apis::VisionV1::ImportProductSetsGcsSource

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
generated/google/apis/vision_v1/classes.rb,
generated/google/apis/vision_v1/representations.rb,
generated/google/apis/vision_v1/representations.rb

Overview

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

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ ImportProductSetsGcsSource

Returns a new instance of ImportProductSetsGcsSource.



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# File 'generated/google/apis/vision_v1/classes.rb', line 8675

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#csv_file_uriString

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). Corresponds to the JSON property csvFileUri

Returns:

  • (String)


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# File 'generated/google/apis/vision_v1/classes.rb', line 8673

def csv_file_uri
  @csv_file_uri
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'generated/google/apis/vision_v1/classes.rb', line 8680

def update!(**args)
  @csv_file_uri = args[:csv_file_uri] if args.key?(:csv_file_uri)
end