- HTTP request
- Path parameters
- Request body
- Response body
- Authorization Scopes
- ImportProductSetsInputConfig
- ImportProductSetsGcsSource
- Try it!
Asynchronous API that imports a list of reference images to specified product sets based on a list of image information.
The google.longrunning.Operation
API can be used to keep track of the progress and results of the request. Operation.metadata
contains BatchOperationMetadata
. (progress) Operation.response
contains ImportProductSetsResponse
. (results)
The input source of this method is a csv file on Google Cloud Storage. For the format of the csv file please see ImportProductSetsGcsSource.csv_file_uri
.
HTTP request
POST https://vision.googleapis.com/v1p4beta1/{parent=projects/*/locations/*}/productSets:import
The URL uses gRPC Transcoding syntax.
Path parameters
| Parameters | |
|---|---|
parent
|
Required. The project in which the ProductSets should be imported. Format is |
Request body
The request body contains data with the following structure:
| JSON representation | |
|---|---|
{
"inputConfig"
:
{
object (
|
|
| Fields | |
|---|---|
inputConfig
|
Required. The input content for the list of requests. |
Response body
If successful, the response body contains an instance of Operation
.
Authorization Scopes
Requires one of the following OAuth scopes:
-
https://www.googleapis.com/auth/cloud-platform -
https://www.googleapis.com/auth/cloud-vision
For more information, see the Authentication Overview .
ImportProductSetsInputConfig
The input content for the productSets.import
method.
| JSON representation | |
|---|---|
{
"gcsSource"
:
{
object (
|
|
| Fields | |
|---|---|
gcsSource
|
The Google Cloud Storage location for a csv file which preserves a list of ImportProductSetRequests in each line. |
ImportProductSetsGcsSource
The Google Cloud Storage location for a csv file which preserves a list of ImportProductSetRequests in each line.
| JSON representation | |
|---|---|
{ "csvFileUri" : string } |
|
csvFileUri
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.
- 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
, 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 displayName
, the product-category
column refers to productCategory
, and the labels
column refers to productLabels
.
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 displayName
field for the product to a space (" "). You can update the displayName
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 referenceImages.create
. 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).
