Interface ImportProductSetsGcsSourceOrBuilder

    • Method Summary

      All Methods Instance Methods Abstract Methods 
      Modifier and Type Method Description
      String getCsvFileUri()
      The Google Cloud Storage URI of the input csv file.
      com.google.protobuf.ByteString getCsvFileUriBytes()
      The Google Cloud Storage URI of the input csv file.
      • Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

        isInitialized
      • Methods inherited from interface com.google.protobuf.MessageOrBuilder

        findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
    • Method Detail

      • getCsvFileUri

        String 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][google.cloud.vision.v1p4beta1.Product.display_name], the
         `product-category` column refers to
         [product_category][google.cloud.vision.v1p4beta1.Product.product_category],
         and the `labels` column refers to
         [product_labels][google.cloud.vision.v1p4beta1.Product.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][google.cloud.vision.v1p4beta1.Product.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).
         
        string csv_file_uri = 1;
        Returns:
        The csvFileUri.
      • getCsvFileUriBytes

        com.google.protobuf.ByteString getCsvFileUriBytes()
         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][google.cloud.vision.v1p4beta1.Product.display_name], the
         `product-category` column refers to
         [product_category][google.cloud.vision.v1p4beta1.Product.product_category],
         and the `labels` column refers to
         [product_labels][google.cloud.vision.v1p4beta1.Product.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][google.cloud.vision.v1p4beta1.Product.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).
         
        string csv_file_uri = 1;
        Returns:
        The bytes for csvFileUri.