Python API 添加 OMR 功能与数据提取

通过 pip 安装 Aspose.OMR Cloud SDK for Python

pip install aspose-omr-cloud

您可以直接从 Aspose.OMR Cloud SDK for Python 产品页面下载库。

如何使用 Python API 生成机器可读表单模板？

import asposeomrcloud
from asposeomrcloud.models import OmrFunctionParam, Template, TemplateDto

# Set your API key and SID
asposeomrcloud.configuration.api_key['api_key'] = 'your_api_key'
asposeomrcloud.configuration.api_key['app_sid'] = 'your_sid'

# Initialize the OMR API client
omr_api = asposeomrcloud.OmrApi()

# Define the questions for the template
questions = [
    "What is your name?",
    "How satisfied are you with our service? (1-5)",
    "Which products have you purchased? (Select all that apply)",
    "Additional comments (if any):"
]

# Create an array of TemplateDto objects
template_dto_array = [TemplateDto(name=question) for question in questions]

# Create a Template instance
template = Template(template_dto_array)

# Create a new template and get the template ID
template_response = omr_api.post_generate_template(template)

# Print the generated template ID
print(f"Template ID: {template_response.template_id}")

如何使用 Python API 加载并识别已填写的表单？

import asposeomrcloud
from asposeomrcloud.models import RecognizeRequest, OmrFunctionParam

# Set your API key and SID
asposeomrcloud.configuration.api_key['api_key'] = 'your_api_key'
asposeomrcloud.configuration.api_key['app_sid'] = 'your_sid'

# Initialize the OMR API client
omr_api = asposeomrcloud.OmrApi()

# Specify the path to the filled form image
image_path = 'path/to/filled_form.jpg'

# Create a RecognizeRequest instance
recognize_request = RecognizeRequest(
    function_params=[OmrFunctionParam("name", "value")],  # Additional parameters if needed
    image_file=omr_api.byte_array_input(open(image_path, 'rb').read())
)

# Perform OMR recognition
result = omr_api.post_run_omr_task(recognize_request)

# Extract and print the recognized data
for page in result.pages:
    for field in page.fields:
        print(f"Field: {field.field_name}, Value: {field.field_value}")