Skip to main content

OCR toolkits

Introduction

Collection of functions to work with ocr and synthetic data generater

Features

  • Generate synthetic images containing Khmer text
  • Customize text content from a file
  • Choose from multiple font styles
  • Option to apply random blur effect to images
  • Generate corresponding labels for each image

Installation

You can install the Khmer Text Image Generator using pip:

pip install ocr_toolkits

Usage

  • create text file to words list eg. dict.txt and put all khmer words you want to gnerate or download sample data here

  • create a folder call font and download all font from this link : font

  • create python script to generate data eg. test.py

from khmerocr_tools import synthetic_data

# Set parameters
image_height = 128
output_folder = 'output'
output_labels_file = 'output/labels.txt'
text_file_path = "dict.txt"
font_option = [1, 2]  

# Generate images and labels
synthetic_data(
    text_file_path, 
    image_height, 
    output_folder, 
    output_labels_file, 
    font_option=font_option, 
    random_blur=True
)

Parameters

  • image_height: Height of the generated images in pixels.
  • output_folder: Path to the folder where generated images will be saved.
  • output_labels_file: Path to the file where labels will be saved.
  • text_file_path: Path to the text file containing Khmer text for generation.
  • font_option: List of integers representing font options.
    • 1 for AKbalthom KhmerLer Regular.
    • 2 for Khmer MEF1 Regular.
    • 3 for Khmer OS Battambang Regular.
    • 4 for Khmer OS Muol Light Regular.
    • 5 for Khmer OS Siemreap Regular.
    • Use an empty list [] to select all available fonts.
  • random_blur: Boolean flag indicating whether to apply random blur effect to images.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Metadata

Release files for ocr-toolkits 0.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ocr-toolkits 0.0.2
File Size Uploaded
ocr-toolkits-0.0.2.tar.gz 8.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for ocr-toolkits 0.0.2
File Interpreter ABI Platform
ocr_toolkits-0.0.2-py3-none-any.whl Python 3 none any Details

Total release size: 16.8 kB

Release files / ocr-toolkits-0.0.2.tar.gz

Download URL ocr-toolkits-0.0.2.tar.gz
Size 8.0 kB
Tags Source
SHA-256 checksum
How to use checksums
86cd7932588e77b83103e7630709cb065bbec8b00015db423290271d7cdda980
BLAKE2b-256 checksum
How to use checksums
0339cf46333ec43b148a5fb07a8530066f0e1ec8666cecfd74fd77edaf6c0de9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.4

Release files / ocr_toolkits-0.0.2-py3-none-any.whl

Download URL ocr_toolkits-0.0.2-py3-none-any.whl
Size 8.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ac96e2c6d98e949eb9b88077a08d7fe45584ffe1e6d736b59238fe968514c4c1
BLAKE2b-256 checksum
How to use checksums
8f57f045a68966a948768879900a940c563cf2adcdcb932ca39c60b0c0e8d1df
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.4

Release history Release notifications | RSS feed

0.0.3

2 release files

This release

0.0.2 This release

2 release files

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page