Pai Peng's Projects
based on https://www.tensorflow.org/tutorials/load_data/images
Java JNA wrapper for Tesseract OCR API
finetuned traineddata files for tesseract 4.0.0 for testing
Tesseract Open Source OCR Engine (main repository)
Fork of tess-two rewritten from scratch to support latest Android Studio and Tesseract 4.
A Gradio web UI for Large Language Models. Supports transformers, GPTQ, llama.cpp (GGUF), Llama models.
Convert image to text (with JavaFX UI)
A PyTorch implementation of texture synthesis by Gatys et al. (2015) (https://arxiv.org/abs/1505.07376).
a crossplatform JavaFX application for viewing TIFF image Tags
Single header lib for JPEG encoding. Public domain. C99. stb style.
Tiny Jpeg Decoder
TwelveMonkeys ImageIO: Additional plug-ins and extensions for Java's ImageIO
SaaS for image authorization
This is an Android Project for using USB camera
library and sample to access to UVC web camera on non-rooted Android device
VersyPDF is a high-quality, industry-strength PDF library for C/C++ programming languages meeting the requirements of the most demanding and diverse applications. Using VersyPDF library you can write stand-alone, cross-platform and reliable applications that can read, write, and edit PDF documents.
Open Source Visual Servoing Platform
Example of using WebAssembly within an Angular Application
WebAssembly Examples
Play around with Image Processing and Object Detection using WebAssembly.
Wasm in Angular - Fibonacci Demo
Fast WebAssembly face detection for HTML5 canvas
Robustness of DWT vs DCT is graded based on the quality of extracted watermark. The measure used is the Correlation coefficient (0-100%).
C Implementation of 1D and 2D Wavelet Transforms (DWT,SWT and MODWT) along with 1D Wavelet packet Transform and 1D Continuous Wavelet Transform.
A client-side signal processing library utilizing the power of WebAssembly (.wasm)
A digital signal processing library built on WebAssembly and Javascript
The goal of this project is to allow integrated or USB-connected webcams to be accessed directly from Java. Using provided libraries users are able to read camera images and detect motion. Main project consist of several sub projects - the root one, which contains required classes, build-in webcam driver compatible with Windows, Linux and Mac OS, which can stream images as fast as your camera can serve them (up to 50 FPS). Main project can be used standalone, but user is able to replace build-in driver with different one - such as OpenIMAJ, GStreamer, V4L4j, JMF, LTI-CIVIL, FMJ, etc.
For working under MAC OSX 10.15 catalina with OpenIMAJ driver for camera permission issue