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sml2h3/ddddocr

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Ddddocr

ddddocr is a Python library for automated image analysis, focused on extracting text and detecting objects from visual content. Its core capabilities include character recognition that can handle alphanumeric, Chinese, and special characters, as well as object detection that returns bounding box coordinates for targets within images.

The library provides specialized support for solving slider CAPTCHAs by identifying the position of missing pieces using edge matching or image comparison algorithms. It also offers image preprocessing through color-based filtering to reduce noise from complex backgrounds, and allows users to constrain OCR output to specific character subsets for improved accuracy on targeted inputs.

For extensibility, ddddocr supports loading user-trained ONNX models with custom character sets, enabling recognition of specialized or proprietary CAPTCHA types. Performance can be enhanced through GPU acceleration, which offloads model inference to a GPU device for faster batch or high-volume processing. The library also includes a REST API server that exposes recognition, detection, and slider-matching functions through HTTP endpoints for remote access.

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Features

  • Text Recognition - Identifies alphanumeric, Chinese, and special characters in images and returns recognized text.
  • Optical Character Recognitions - Extracts alphanumeric, Chinese, and special characters from images using a pre-trained OCR model.
  • Slider CAPTCHA Solvers - Implements slider CAPTCHA gap matching using edge detection and image comparison algorithms.
  • Object Detection - Locates target objects within images and returns their bounding box coordinates.
  • Custom Model Training - Provides custom model loading for ONNX-based recognition of proprietary CAPTCHAs.
  • GPU-Accelerated Inference - Offloads model inference to a GPU device to speed up batch or high-volume recognition tasks.
  • ONNX Model Loaders - Supports loading user-trained ONNX models with custom character sets for specialized CAPTCHA recognition.
  • OCR REST API Servers - Ships a built-in REST API server that exposes OCR, detection, and slider-matching functions over HTTP.
14,339 stars·2,296 forks·Python·MIT·73 views

Star history

Star history chart for sml2h3/ddddocrStar history chart for sml2h3/ddddocr

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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    This repository provides the pre-trained neural network and legacy data files used by Tesseract to recognize and extract printed text from images. It serves as a multilingual training data repository and a collection of Long Short-Term Memory models designed for high-accuracy optical character recognition across various global scripts and languages. The data includes specialized models for analyzing image layouts to determine text rotation and script direction. It provides the necessary language-specific datasets and linguistic patterns required to enable Tesseract OCR engines to function. T

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Frequently asked questions

What does sml2h3/ddddocr do?

ddddocr is a Python library for automated image analysis, focused on extracting text and detecting objects from visual content. Its core capabilities include character recognition that can handle alphanumeric, Chinese, and special characters, as well as object detection that returns bounding box coordinates for targets within images.

What are the main features of sml2h3/ddddocr?

The main features of sml2h3/ddddocr are: Text Recognition, Optical Character Recognitions, Slider CAPTCHA Solvers, Object Detection, Custom Model Training, GPU-Accelerated Inference, ONNX Model Loaders, OCR REST API Servers.

Which projects share features with sml2h3/ddddocr?

Projects with overlapping indexed features include: paddlepaddle/paddlex — PaddleX is a PaddlePaddle-based framework for building, deploying, and fine-tuning AI model pipelines, with pre-built… wang-xinyu/tensorrtx — tensorrtx is a computer vision inference engine and model implementation library designed for graphics processor… dusty-nv/jetson-inference — jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU… tesseract-ocr/tessdata — This repository provides the pre-trained neural network and legacy data files used by Tesseract to recognize and… olafenwamoses/imageai — ImageAI is a Python computer vision library providing a suite of tools for image classification, object detection, and… thtrieu/darkflow — Darkflow is an object detection framework and computer vision pipeline that provides a programmatic interface for…