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ONC's Projects

crack-yakpro-php icon crack-yakpro-php

破解由 yakpro 混淆的PHP代码 (cracking PHP code obfuscation using yarkpo method)

create_ap icon create_ap

This script creates a NATed or Bridged WiFi Access Point.

darkflow icon darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices + added support for tracking using deep sort (this is a sub-module for the tracker)

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

droidairplay icon droidairplay

DroidAirPlay is an AirPlay receiver capable of streaming Audio, Video and Photos from iOS devices to an Android 4 device. It's primary use is for in-car systems where Android tables are used as the car dashboard.

easypr icon easypr

An open source project for chinese plate recognition. It aims to be Easy, Flexible, and Accurate. Welcome to contribute your expertise !

emoncms icon emoncms

Web-app for processing, logging and visualising energy, temperature and other environmental data

emonesp icon emonesp

ESP8266 WIFI serial to emoncms link

esp32-homekit icon esp32-homekit

ESP-32 implementation of Apple Homekit Accessory Protocol(HAP)

esp32_gsm icon esp32_gsm

ESP32 GSM basic example. Its based on esp idf example.

esp8266audio icon esp8266audio

Arduino library to play MOD, WAV, FLAC, MIDI, RTTTL, MP3, and AAC files on I2S DACs or with a software emulated delta-sigma DAC on the ESP8266 and ESP32

esp_wifimanager icon esp_wifimanager

This is an ESP32 / ESP8266 WiFi Connection Manager with fallback web configuration portal. Use this library for configuring ESP32, ESP8266 modules' WiFi, etc. Credentials at runtime. You can also specify static DNS servers, personalized HostName, fixed or random AP WiFi channel. With examples supporting ArduinoJson 6.0.0+ as well as 5.13.5- .

face-api.js icon face-api.js

JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

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