csvFileUri property
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).
Implementation
core.String? csvFileUri;