MNN applications by MNN, JNI exec, RK3399. Support tflite\tensorflow\caffe\onnx models.
MNN Implementation of the paper of LFFD: A Light and Fast Face Detector for Edge Devices
基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.
An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.
works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate
CEF3 + Qt5, VS 项目。启用Flash。类讲解。Clone from https://github.com/tishion/QCefView.
:electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS
SRS is industrial-strength live streaming cluster, for the best conceptual integrity and the simplest implementation.