Aspose.OMR for Cloud is a REST API that helps you to perform optical mark recognition in the cloud. We provide a series of SDKs. Along with that, you can get binaries
to start working immediately and recognize various OMR forms.
Developers can embed optical recognition in any type of application to extract data from images of tests, exams, questionnaires, surveys, etc. In the repository you can find examples on how to start using Aspose.OMR API in your project.
Our API is completely independent of your operating system, database system, or development language. You can use any language and platform that supports HTTP to interact with our API. However, manually writing client code can be difficult, error-prone, and time-consuming. Therefore, we have provided and support SDKs in many development languages to make it easier to integrate with us.
import asposeomrcloud.apis.storage_api as storage_api
from asposeomrcloud.configuration import Configuration
from asposeomrcloud.apis.omr_api import OmrApi
from asposeomrcloud.models import OmrFunctionParam
def run_demo():
configuration = Configuration(apiKey=config.get('app_key'), appSid=config.get('app_sid'))
api = OmrApi(configuration)
storage = storage_api.StorageApi(configuration)
# Step 1: Upload demo files on cloud and Generate template
print("\t\tUploading demo files...")
upload_demo_files(storage, data_dir)
print("\t\tGenerate template...")
res_gen = generate_template(api, storage, os.path.join(data_dir, TEMPLATE_DST_NAME), LOGOS_FOLDER_NAME)
if res_gen.error_code == 0:
deserialize_files(res_gen.payload.result.response_files, PATH_TO_OUTPUT)
# Step 2: Validate template
print("\t\tValidate template...")
template_id = validate_template(api, storage, os.path.join(PATH_TO_OUTPUT, TEMPLATE_IMAGE_NAME), PATH_TO_OUTPUT)
# Step 3: Recognize photos and scans
print("\t\tRecognize image...")
for user_image in TEMPLATE_USER_IMAGES_NAMES:
res_rec = recognize_image(api, storage, template_id, os.path.join(data_dir, user_image))
if res_rec.error_code == 0:
result_file = deserialize_files(res_rec.payload.result.response_files, PATH_TO_OUTPUT)[0]
print('Result file %s' % result_file)
Make your solution using SDK, follow these steps:
Clone the solution using the command: [email protected]:aspose-omr-cloud/aspose-omr-cloud-python.git --recurse-submodules
Make a personal account on Aspose Cloud Dashboard and click Get Keys. These keys are useful for all OMR Cloud products. If you have any trouble, look at this detailed manual.
Install aspose-omr-cloud
with PIP from PyPI by:
pip install aspose-omr-cloud
Or clone repository and install it via Setuptools:
python setup.py install
- Checkout the SDK or get from PyPi
- Set Your AppSid & AppKey
- Run
run_demo.py
This project includes:
- Module "asposeomrcloud", this is SDK. You can integrate it in your application. It contains both
Omr
andStorage
API
- Module "demo". Sample API requests.
- Module "test", unittests. You can take a look at them to see various code examples.
- See requirements.txt
- Python :: 3.6
- Python :: 3.7
- Python :: 3.8
- Python :: 3.9
.NET | Java | PHP | Ruby | Python | Node.js | Perl |
All URIs are relative to https://api.aspose.cloud/v3.0
Class | Method | HTTP request | Description |
---|---|---|---|
OmrApi | post_run_omr_task | POST /omr/{name}/runOmrTask | Run specific OMR task |
Library uses OAUTH2 internally
Aspose Pty Ltd (https://www.aspose.com)
- Website: www.aspose.com
- Product Home: Aspose.OMR for Cloud
- Documentation: Aspose.OMR for Cloud Documentation
- Cloud Dashboard: Aspose Cloud
- Forum: Aspose.OMR for Cloud Forum
- PyPi: Aspose.OMR-Cloud