Browse our Products
Aspose.OCR for Python via Java 24.2.0 - Release Notes
What was changed
| Key | Summary | Category |
|---|---|---|
| OCRPY‑63 | Added support for distributing extra product features as downloadable modules. | New feature |
Public API changes and backwards compatibility
This section lists all public API changes introduced in Aspose.OCR for Python via Java 24.2.0 that may affect the code of existing applications.
Added public APIs:
The major change introduced in Aspose.OCR for Python via Java 24.2.0 is that the distributive now offers basic recognition capabilities only. Additional features can be added via downloadable resources, freely available in our online repository.
This approach allows you to selectively choose which features you need for your project, keeping your codebase lean and modular.
By default, Aspose.OCR for Python via Java automatically downloads the required resources as needed, saving you time and effort in managing dependencies. However, you have the option to manually manage the resources for your project:
Resources.set_repository() method
Allows you to specify the URL of the online repository from which Aspose.OCR resources will be downloaded. You can provide any of the following:
- A link to the root directory of the branch in a public GitHub repository in form
https://github.com/{project}/{repository}/blob/{branch}/. - A link to the directory on a web site (either intranet or public), for example
http://localhost/aspose-ocr-resources. - HTTP link to the directory on a publicly accessible S3 bucket or other online storage which supports web access.
- Aspose.OCR for Python via Java does not support authentication. The link you provide must be freely accessible to the application without providing credentials.
- The application must be allowed outbound HTTP access to the URL in the firewall.
By default, the resources are downloaded from https://github.com/aspose-ocr/resources/.
Resources.get_repository() method
Returns the URL of the online repository from which Aspose.OCR for Python via Java resources are downloaded.
Resources.allow_automatic_downloads() method
Allow (true) or block (false) automatic downloading of required resources from the online repository. By default, Aspose.OCR for Python via Java automatically downloads the required resources as needed.
If you do not want your application to access the Internet at runtime, manually download all required resources from our repository and call allow_automatic_downloads(false).
Resources.list_remote() method
Returns the list of all compatible resources from the online repository as a string array.
Resources.set_local_path() method
Allows you to specify an absolute or relative path to the directory where the resources will be downloaded. Pass false to the create parameter to prevent the directory from being created automatically.
By default, the resources will be downloaded into the aspose_data subdirectory in the application’s working directory.
Resources.get_local_path() method
Returns the full path to the local directory where the resources will be downloaded.
Resources.list_local() method
Returns the list of all Aspose.OCR resources stored in the local directory as a string array.
Resources.fetch_all() method
Download all resources compatible with the current version of Aspose.OCR for Python via Java from the online repository. The existing resource files will be overwritten.
Resources.fetch_resources() method
Download one or more resources specified in the names parameter from the online repository. Existing resources will be overwritten.
Use Resources.list_remote() method to get the full list of resource names, compatible with the current release of Aspose.OCR Python via Java.
Updated public APIs:
No changes
Removed public APIs:
No changes
Examples
The examples below illustrates the changes introduced in this release:
Hindi characters recognition
import aspose as ocr
ocr_resources = []
ocr_resources.append('aspose-ocr-hindi-v1')
ocr.Resources.fetch_resources(ocr_resources)
api = ocr.AsposeOcr()
images = ocr.OcrInput(ocr.InputType.SINGLE_IMAGE)
images.add('source.png')
recognitionSettings = RecognitionSettings()
recognitionSettings.setLanguage(Language.HIN)
result = api.recognize(images, recognitionSettings)
print(result[0].recognition_text)
Use manually downloaded resources
import aspose as ocr
# the directory must be present in the application working directory
ocr.Resources.set_local_path('aspose/ocr')
ocr.Resources.allow_automatic_downloads(false)