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 \ V1Methods
__construct
Constructor.
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.
- image-uri
- image-id
- product-set-id
- product-id
- product-category
- product-display-name
- labels
- bounding-poly
The
image-uri,product-set-id,product-id, andproduct-categorycolumns are required. All other columns are optional. If theProductSetorProductspecified by theproduct-set-idandproduct-idvalues does not exist, then the system will create a newProductSetorProductfor the image. In this case, theproduct-display-namecolumn refers to display_name , theproduct-categorycolumn refers to product_category , and thelabelscolumn refers to product_labels . Theimage-idcolumn is optional but must be unique if provided. If it is empty, the system will automatically assign a unique id to the image. Theproduct-display-namecolumn is optional. If it is empty, the system sets the display_name field for the product to a space (" "). You can update thedisplay_namelater by using the API. If aProductwith the specifiedproduct-idalready exists, then the system ignores theproduct-display-name,product-category, andlabelscolumns. Thelabelscolumn (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" Thebounding-polycolumn (optional) identifies one region of interest from the image in the same manner asCreateReferenceImage. If you do not specify thebounding-polycolumn, then the system will try to detect regions of interest automatically. At most onebounding-polycolumn 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 thebounding-polyvalues for each region of interest. Thebounding-polycolumn 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
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.
- image-uri
- image-id
- product-set-id
- product-id
- product-category
- product-display-name
- labels
- bounding-poly
The
image-uri,product-set-id,product-id, andproduct-categorycolumns are required. All other columns are optional. If theProductSetorProductspecified by theproduct-set-idandproduct-idvalues does not exist, then the system will create a newProductSetorProductfor the image. In this case, theproduct-display-namecolumn refers to display_name , theproduct-categorycolumn refers to product_category , and thelabelscolumn refers to product_labels . Theimage-idcolumn is optional but must be unique if provided. If it is empty, the system will automatically assign a unique id to the image. Theproduct-display-namecolumn is optional. If it is empty, the system sets the display_name field for the product to a space (" "). You can update thedisplay_namelater by using the API. If aProductwith the specifiedproduct-idalready exists, then the system ignores theproduct-display-name,product-category, andlabelscolumns. Thelabelscolumn (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" Thebounding-polycolumn (optional) identifies one region of interest from the image in the same manner asCreateReferenceImage. If you do not specify thebounding-polycolumn, then the system will try to detect regions of interest automatically. At most onebounding-polycolumn 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 thebounding-polyvalues for each region of interest. Thebounding-polycolumn 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).
var
string
$this

