Cloud Vision V1p4beta1 API - Class Google::Cloud::Vision::V1p4beta1::ImportProductSetsGcsSource (v0.7.2)

Reference documentation and code samples for the Cloud Vision V1p4beta1 API class Google::Cloud::Vision::V1p4beta1::ImportProductSetsGcsSource.

The Google Cloud Storage location for a csv file which preserves a list of ImportProductSetRequests in each line.

Inherits

Object

Extended By

Google::Protobuf::MessageExts::ClassMethods

Includes

Google::Protobuf::MessageExts

Methods

#csv_file_uri

def csv_file_uri() -> ::String

Returns

(::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).

#csv_file_uri=

def csv_file_uri=(value) -> ::String

Parameter

value (::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).

Returns

(::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).