This project is for Electrocardiogram(ECG) signal algorithms design and validation, include preprocessing, QRS-Complex detection, embedded system validation, ECG segmentation, label your machine learning dataset, and clinical trial...etc.

An adaptive threshold based algorithm for optic disc and cup segmentation in fundus images

AdapTrack: Adaptive Thresholding-Based Matching For Multi-Object Tracking

Removal of stains from noisy docs using image processing, machine learning, neural nets and autoencoder

Meter display segmentation and reading the digits using OCR

Official pytorch implementation of the paper [Adaptive confidence thresholding for monocular depth estimation]

Coding computer vision related algorithms from "scratch".

本项目提供处理服务熔断、限流、超时等逻辑的工具。

Degraded documents binarization using Sauvola method with the use of integral images to improve efficiency.

Image segmentation various methods

OpenCV practice implementation repo

This is a web based application which takes as input the image of a handdrawn flow chart with text and polygonal hapes, and digitailzes it.

Signal and Systems course project - Fall 2021 - voice activity detection using gaussian kernel and adaptive threshold

An edge-weighted graph algorithm that partitions images into meaningful regions for object detection and other vision tasks.

Re-implement image processing techniques from scratch.

A JavaScript library to perform image filtering.

messing around with opencv

STM32F446RE | MAX301102 sensor | ILI9341 LCD| Signal Processing | Driver Development

A python script for cleaning documents using a mix of machine learning and rules.

An adaptive model selection system for efficient on-device NLP inference, enhancing speed, privacy, and resource use on edge devices.