API Reference

Complete technical documentation for developers and advanced users.

Note

👨‍💻 For most users: The User Guide covers everything you need without diving into code details.

Quick Module Guide

Core Processing

🖼️ label_processing

Detection, classification, OCR, and image processing functions.

label_processing Package

Text Cleaning

🧹 label_postprocessing

Post-process and structure OCR results for better quality.

label_postprocessing Package

Quality Metrics

📊 label_evaluation

Evaluate system performance and calculate accuracy metrics.

label_evaluation Package

Docker Workflows

🐳 pipelines

Containerized processing pipelines and configurations.

pipelines Package

Detailed Documentation

• label_processing Package
• label_postprocessing Package
• label_evaluation Package
• pipelines Package
• scripts Package

Programmatic Usage

Here’s how to use the main components in your Python code:

# Basic usage example
from label_processing import LabelDetector, LabelClassifier
from label_processing.ocr_vision import extract_text

# Detect labels in an image
detector = LabelDetector()
bboxes = detector.detect('specimen_photo.jpg')

# Classify cropped labels
classifier = LabelClassifier()
label_type = classifier.classify('cropped_label.jpg')

# Extract text with OCR
text = extract_text('printed_label.jpg', method='tesseract')