public static final class ImportProductSetsGcsSource.Builder extends GeneratedMessageV3.Builder<ImportProductSetsGcsSource.Builder> implements ImportProductSetsGcsSourceOrBuilder
The Google Cloud Storage location for a csv file which preserves a list of
ImportProductSetRequests in each line.
Protobuf type google.cloud.vision.v1p4beta1.ImportProductSetsGcsSource
Static Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public ImportProductSetsGcsSource.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Returns
Overrides
build()
public ImportProductSetsGcsSource build()
Returns
buildPartial()
public ImportProductSetsGcsSource buildPartial()
Returns
clear()
public ImportProductSetsGcsSource.Builder clear()
Returns
Overrides
clearCsvFileUri()
public ImportProductSetsGcsSource.Builder clearCsvFileUri()
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
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).
string csv_file_uri = 1;
clearField(Descriptors.FieldDescriptor field)
public ImportProductSetsGcsSource.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Returns
Overrides
clearOneof(Descriptors.OneofDescriptor oneof)
public ImportProductSetsGcsSource.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Returns
Overrides
clone()
public ImportProductSetsGcsSource.Builder clone()
Returns
Overrides
getCsvFileUri()
public 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.
- 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
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).
string csv_file_uri = 1;
| Type | Description |
| String | The csvFileUri.
|
getCsvFileUriBytes()
public 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.
- 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
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).
string csv_file_uri = 1;
| Type | Description |
| ByteString | The bytes for csvFileUri.
|
getDefaultInstanceForType()
public ImportProductSetsGcsSource getDefaultInstanceForType()
Returns
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Returns
Overrides
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Overrides
isInitialized()
public final boolean isInitialized()
Returns
Overrides
mergeFrom(ImportProductSetsGcsSource other)
public ImportProductSetsGcsSource.Builder mergeFrom(ImportProductSetsGcsSource other)
Parameter
Returns
public ImportProductSetsGcsSource.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Overrides
Exceptions
mergeFrom(Message other)
public ImportProductSetsGcsSource.Builder mergeFrom(Message other)
Parameter
Returns
Overrides
mergeUnknownFields(UnknownFieldSet unknownFields)
public final ImportProductSetsGcsSource.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Returns
Overrides
setCsvFileUri(String value)
public ImportProductSetsGcsSource.Builder setCsvFileUri(String value)
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
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).
string csv_file_uri = 1;
| Name | Description |
| value | String
The csvFileUri to set.
|
Returns
setCsvFileUriBytes(ByteString value)
public ImportProductSetsGcsSource.Builder setCsvFileUriBytes(ByteString value)
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
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).
string csv_file_uri = 1;
| Name | Description |
| value | ByteString
The bytes for csvFileUri to set.
|
Returns
setField(Descriptors.FieldDescriptor field, Object value)
public ImportProductSetsGcsSource.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Returns
Overrides
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public ImportProductSetsGcsSource.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Returns
Overrides
setUnknownFields(UnknownFieldSet unknownFields)
public final ImportProductSetsGcsSource.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Returns
Overrides
