The Ruby OCR SDK supports the License Plate API.
Using the sample below, we are going to illustrate how to extract the data that we want using the OCR SDK.
require 'mindee' # Init a new client mindee_client = Mindee::Client.new(api_key: 'my-api-key') # Load a file from disk input_source = mindee_client.source_from_path('/path/to/the/file.ext') # Parse the file result = mindee_client.parse( input_source, Mindee::Product::EU::LicensePlate::LicensePlateV1 ) # Print a full summary of the parsed data in RST format puts result.document # Print the document-level parsed data # puts result.document.inference.prediction
######## Document ######## :Mindee ID: f0f48232-2c80-4473-9c6f-88a09111b84d :Filename: default_sample.jpg Inference ######### :Product: mindee/license_plates v1.0 :Rotation applied: No Prediction ========== :License Plates: BY-323-YB Page Predictions ================ Page 0 ------ :License Plates: BY-323-YB
These fields are generic and used in several products.
Each prediction object contains a set of fields that inherit from the generic
Field object will have the following attributes:
- value (
Boolean): corresponds to the field value. Can be
nilif no value was extracted.
- confidence (Float, nil): the confidence score of the field prediction.
- bounding_box (
nil): contains exactly 4 relative vertices (points) coordinates of a right rectangle containing the field in the document.
- polygon (
nil): contains the relative vertices coordinates (
Point) of a polygon containing the field in the image.
- page_id (
nil): the ID of the page, is
nilwhen at document-level.
- reconstructed (
Boolean): indicates whether or not an object was reconstructed (not extracted as the API gave it).
Aside from the previous attributes, all basic fields have access to a
to_s method that can be used to print their value as a string.
The text field
StringField only has one constraint: it's value is a
The following fields are extracted for License Plate V1:
license_plates (Array<StringField>): List of all license plates found in the image.
for license_plates_elem in result.document.inference.prediction.license_plates do puts license_plates_elem.value end
Updated 11 days ago