public interface ImportProductSetsGcsSourceOrBuilder extends MessageOrBuilder
| Modifier and Type | Method and Description |
|---|---|
String |
getCsvFileUri()
The Google Cloud Storage URI of the input csv file.
|
ByteString |
getCsvFileUriBytes()
The Google Cloud Storage URI of the input csv file.
|
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneofisInitializedString 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.v1.Product.display_name], the
`product-category` column refers to
[product_category][google.cloud.vision.v1.Product.product_category], and the
`labels` column refers to [product_labels][google.cloud.vision.v1.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.v1.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;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.v1.Product.display_name], the
`product-category` column refers to
[product_category][google.cloud.vision.v1.Product.product_category], and the
`labels` column refers to [product_labels][google.cloud.vision.v1.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.v1.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;Copyright © 2022 Google LLC. All rights reserved.