Richard Ng's repositories
fullstackhero-wasm
fullstackhero/blazor-wasm-boilerplate
Polygon_Drawing_Editor
Sample test code for AI Segmentation Labeling Tool
ApiAuthDemo
A simple demo with JWT Auth APIs and Basic Auth APIs, with Swagger support. Swagger Security; Swagger Auth
BackgroundTasks
Deep-dive into .NET Core hosted services (aka background tasks)
Blazor.Learner
Blazor Custom Login Implementation
BlazorDataTable
DataTable component for Blazor WebAssembly and Blazor Server. The NuGet package is available here. The source code will be available s
BlazorWebAssemblyCookieAuth
This sample shows how to secure a Blazor WebAssembly application with cookie authentication. It uses OpenID Connect to request security tokens and ProxyKit to forward request to a REST API.
ClientServerSignalRConsoleDemo
Console Demo for using Client Server SignalR
fabricjs-image-editor-origin
javascript image editor based on fabric.js
fullstackhero-webapi
fullstackhero/dotnet-webapi-boilerplate
fx-trading
Toy trading system using python and implementing a martingale trading strategy
IdTagWinformDemo
AprilTag vs Aruco and EmguCV vs OpenCVSharp
Jetson-RPi_GPIO_Controller
Jetson Nano & Raspberry Pi + .NET Core GPIO Control Example
Kavita
Kavita is a fast, feature rich, cross platform reading server. Built with a focus for manga and the goal of being a full solution for all your reading needs. Setup your own server and share your reading collection with your friends and family.
LiveStreamingServer
Utilize ffmpeg to convert rtmp to hls and host a video player for live streaming
pose-detection-keypoints-estimation-yolov8
Yolov8 Pose Key Points Detection
RazorPagePaginationDemo
Own Reference For RazorPage Paging Tag Helper
tensorflow-onnx
Convert TensorFlow models to ONNX
ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
weisiong.github.io
A template for creating personal website
YOLOV5-DeepSORT-Vehicle-Tracking-Master
In this project, urban traffic videos are collected from the middle section of Xi 'an South Second Ring Road with a large traffic flow, and interval frames are extracted from the videos to produce data sets for training and verification of YOLO V5 neural network. Combined with the detection results, the open-source vehicle depth model data set is used to train the vehicle depth feature weight file, and the deep-sort algorithm is used to complete the target tracking, which can realize real-time and relatively accurate multi-target recognition and tracking of moving vehicles.
Yolov8.Net
A .net 6 implementation to use Yolov5 and Yolov8 models via the ONNX Runtime
YOLOX_deepsort_tracker
using yolox+deepsort for object-tracking